1 00:00:00,400 --> 00:00:02,920 Speaker 1: It's not just one white man writing a story from 2 00:00:02,920 --> 00:00:05,280 Speaker 1: a white man's perspective, handing it to another white news 3 00:00:05,320 --> 00:00:08,760 Speaker 1: anchor to deliver on an entirely white friend major network. 4 00:00:14,120 --> 00:00:15,840 Speaker 2: There are no Girls on the Internet. As a production 5 00:00:15,920 --> 00:00:23,400 Speaker 2: of iHeartRadio and Unbossed Creative, I'm Bridge Todd, and this 6 00:00:23,520 --> 00:00:28,960 Speaker 2: is there are no girls on the Internet. I grew 7 00:00:29,080 --> 00:00:32,879 Speaker 2: up in a newspaper family, and in fact, our family 8 00:00:32,960 --> 00:00:36,519 Speaker 2: always got two copies of our local newspaper, one for 9 00:00:36,560 --> 00:00:39,680 Speaker 2: the family and another one just for my dad that 10 00:00:39,840 --> 00:00:42,680 Speaker 2: none of us were supposed to rifle through. I guess 11 00:00:42,720 --> 00:00:46,720 Speaker 2: because the man really enjoyed having a crisp, fresh newspaper 12 00:00:46,880 --> 00:00:50,839 Speaker 2: all to himself. But that was a long time ago. Today, 13 00:00:51,320 --> 00:00:53,960 Speaker 2: lesson less people are getting their news from traditional sources 14 00:00:53,960 --> 00:00:58,240 Speaker 2: like a newspaper or a mainstream media outlet. Instead, they're 15 00:00:58,240 --> 00:01:01,160 Speaker 2: getting their news from podcasts hey like the one you're 16 00:01:01,160 --> 00:01:05,080 Speaker 2: listening to right now, and from content creators on social media. 17 00:01:05,760 --> 00:01:08,400 Speaker 2: And if you've gotten your news on TikTok, odds are 18 00:01:08,560 --> 00:01:11,920 Speaker 2: you've seen Vita spear from under the desk news. That 19 00:01:12,080 --> 00:01:15,520 Speaker 2: title under the desk is literal by the way, v 20 00:01:15,880 --> 00:01:18,759 Speaker 2: actually gets down under their desk to tell their three 21 00:01:18,840 --> 00:01:21,720 Speaker 2: million followers on TikTok what they need to know. And 22 00:01:21,800 --> 00:01:23,680 Speaker 2: it started during the height of the pandemic. 23 00:01:25,319 --> 00:01:28,240 Speaker 1: We were seeing a lot of journalists working from home, 24 00:01:28,520 --> 00:01:30,400 Speaker 1: and so I didn't want to blur this line of 25 00:01:30,560 --> 00:01:33,880 Speaker 1: like being some super serious journalist who was just working 26 00:01:33,959 --> 00:01:36,920 Speaker 1: from home because of you know, the pandemic, And so 27 00:01:36,959 --> 00:01:39,360 Speaker 1: I got under my desk to create this kind of 28 00:01:39,840 --> 00:01:43,000 Speaker 1: safe place where we could have like a secret and 29 00:01:43,120 --> 00:01:45,000 Speaker 1: talk about the news in a way that wasn't going 30 00:01:45,080 --> 00:01:48,240 Speaker 1: to be scary to people, that wasn't sensationalized. And that 31 00:01:48,360 --> 00:01:50,920 Speaker 1: just kind of was what I would do, you know, 32 00:01:51,120 --> 00:01:54,280 Speaker 1: if I was still in the office, Like if I 33 00:01:54,280 --> 00:01:56,240 Speaker 1: had a water cooler in my home, I probably would 34 00:01:56,240 --> 00:01:58,160 Speaker 1: have been water cooler talk, but I didn't, So I 35 00:01:58,240 --> 00:02:01,120 Speaker 1: just had the under the desk space that was like 36 00:02:01,200 --> 00:02:04,520 Speaker 1: the ethos and the idea of like why under a desk? 37 00:02:04,840 --> 00:02:07,600 Speaker 2: Going back to that time where we all were sort 38 00:02:07,640 --> 00:02:11,360 Speaker 2: of emotionally, that's when doom scrolling became a thing and 39 00:02:11,400 --> 00:02:13,720 Speaker 2: the news, Yeah, it was like you couldn't if you 40 00:02:13,840 --> 00:02:17,680 Speaker 2: opened up a news app, you were like opening up 41 00:02:17,720 --> 00:02:22,760 Speaker 2: this whole rush of emotions. Many of them were like bad, scary, 42 00:02:22,840 --> 00:02:25,840 Speaker 2: big and so your voice was really one that was calming. 43 00:02:26,160 --> 00:02:28,200 Speaker 2: It was soothing. It was like, here's the stuff you 44 00:02:28,240 --> 00:02:29,880 Speaker 2: need to know, but you don't need to freak out. 45 00:02:30,240 --> 00:02:33,200 Speaker 2: Here's some information. Is that the vibe you were intentionally 46 00:02:33,200 --> 00:02:34,000 Speaker 2: trying to cultivate. 47 00:02:34,800 --> 00:02:37,880 Speaker 1: Yeah, that was the originality of it, because I mean, 48 00:02:38,160 --> 00:02:40,520 Speaker 1: if you think about we went into our homes in March. 49 00:02:40,680 --> 00:02:42,560 Speaker 1: I started the TikTok in like March or April. And 50 00:02:42,600 --> 00:02:45,560 Speaker 1: I actually used to do cooking content when I first started, 51 00:02:46,320 --> 00:02:48,440 Speaker 1: because I was working for the James Beard Foundation, which 52 00:02:48,480 --> 00:02:50,919 Speaker 1: is like a big chef organization, and I was trying 53 00:02:50,960 --> 00:02:53,040 Speaker 1: to tell the chefs about how to apply for PPV 54 00:02:53,200 --> 00:02:56,960 Speaker 1: loans and like eidl and shuttered venue. And at that time, 55 00:02:57,040 --> 00:02:58,760 Speaker 1: like on TikTok, you had to have like a kitchy thing. 56 00:02:58,800 --> 00:03:01,119 Speaker 1: So I would like throw butter from across my room 57 00:03:01,160 --> 00:03:04,000 Speaker 1: into the pan, and I would like make the hamburgers 58 00:03:04,080 --> 00:03:06,560 Speaker 1: slap in the air, and like, I was so ridiculous. 59 00:03:07,120 --> 00:03:09,720 Speaker 1: And I would be teaching people about these government programs 60 00:03:09,720 --> 00:03:11,720 Speaker 1: and that kind of led into explaining the Cares Act, 61 00:03:11,800 --> 00:03:14,920 Speaker 1: and then that led into the election, and then that 62 00:03:15,000 --> 00:03:18,400 Speaker 1: led into January sixth, Joe Biden's first hundred days the 63 00:03:18,440 --> 00:03:20,600 Speaker 1: pull out of Afghanistan. I mean, there was just like 64 00:03:20,680 --> 00:03:25,000 Speaker 1: always something else that was really scary that watching the 65 00:03:25,040 --> 00:03:27,079 Speaker 1: news was stressing me out because I'd have to watch 66 00:03:27,120 --> 00:03:30,240 Speaker 1: for like hours before I just found out what happened, 67 00:03:30,320 --> 00:03:32,000 Speaker 1: you know, just give it to me, tell me quickly 68 00:03:32,040 --> 00:03:34,920 Speaker 1: what happened. And so I felt like I could create 69 00:03:34,920 --> 00:03:37,200 Speaker 1: this space to kind of catch people up quickly and 70 00:03:37,360 --> 00:03:39,120 Speaker 1: help bring them back to the news in a way 71 00:03:39,160 --> 00:03:42,800 Speaker 1: that wasn't requiring such a commitment from them, both emotionally 72 00:03:42,840 --> 00:03:46,360 Speaker 1: and time wise. You've kind of become a go to 73 00:03:46,680 --> 00:03:49,160 Speaker 1: news source for TikTok. Like when I think about people 74 00:03:49,160 --> 00:03:52,120 Speaker 1: who make news on TikTok, I think of you specifically. 75 00:03:52,520 --> 00:03:56,280 Speaker 1: Why do you think that TikTok is a platform that 76 00:03:56,400 --> 00:03:59,000 Speaker 1: is conducive to people getting their news in like a 77 00:03:59,040 --> 00:04:02,000 Speaker 1: specific kind of way. It's not a newsreader, you know, 78 00:04:02,240 --> 00:04:04,280 Speaker 1: so detached from the feeling of the emotion. 79 00:04:04,520 --> 00:04:06,640 Speaker 2: There's a real relationship that's being built. Why do you 80 00:04:06,640 --> 00:04:08,720 Speaker 2: think that folks on TikTok are looking for that or 81 00:04:08,720 --> 00:04:10,080 Speaker 2: that's taken off on the platform. 82 00:04:11,240 --> 00:04:13,000 Speaker 1: So a lot of the way that I do the 83 00:04:13,000 --> 00:04:15,080 Speaker 1: news is based on the way that I grew up. 84 00:04:15,240 --> 00:04:18,080 Speaker 1: And my mom is who I call the original citizen 85 00:04:18,120 --> 00:04:21,000 Speaker 1: journalist because she used to be home and I remember 86 00:04:21,040 --> 00:04:22,960 Speaker 1: the year that she bought a police scanner and she 87 00:04:23,000 --> 00:04:25,240 Speaker 1: would just sit with her girlfriends and like drink coffee 88 00:04:25,279 --> 00:04:28,160 Speaker 1: and smoke Virginia Slims and like listen to the police 89 00:04:28,200 --> 00:04:29,719 Speaker 1: scanner it and then my dad had come home and 90 00:04:29,720 --> 00:04:31,479 Speaker 1: she'd be like, Oh my god, Paul, you're not going 91 00:04:31,560 --> 00:04:33,920 Speaker 1: to believe it. You're not going to believe it. And 92 00:04:33,960 --> 00:04:37,080 Speaker 1: she would like go around and like look for the 93 00:04:37,120 --> 00:04:40,000 Speaker 1: police or like they just you know, in our little town. 94 00:04:40,040 --> 00:04:42,520 Speaker 1: It was like a goofy kind of thing to do, 95 00:04:42,560 --> 00:04:44,000 Speaker 1: and like how much crime was really happening. 96 00:04:44,040 --> 00:04:46,560 Speaker 3: There wasn't really that much, but. 97 00:04:46,520 --> 00:04:48,840 Speaker 1: She would like report back to him all the things 98 00:04:48,880 --> 00:04:51,400 Speaker 1: that happened. And I think that people love that, They've 99 00:04:51,440 --> 00:04:54,560 Speaker 1: loved that forever. People love getting their news from their peers, 100 00:04:54,600 --> 00:04:57,359 Speaker 1: catching up with the girls, like just talking about what's. 101 00:04:57,200 --> 00:04:58,000 Speaker 3: Going on in the world. 102 00:04:58,279 --> 00:05:00,560 Speaker 1: And so I think on TikTok we get that kind 103 00:05:00,560 --> 00:05:02,680 Speaker 1: of feeling, and especially at a time most of us 104 00:05:02,680 --> 00:05:05,880 Speaker 1: started during the pandemic, we kind of trauma bonded, right. 105 00:05:05,920 --> 00:05:08,040 Speaker 1: This is where we were connecting with people where we 106 00:05:08,040 --> 00:05:10,600 Speaker 1: were building friendships and learning things, and so I think 107 00:05:10,640 --> 00:05:12,800 Speaker 1: it's a thing that's always been a thing where you'd 108 00:05:12,880 --> 00:05:15,800 Speaker 1: rather hear it from a friend, then you'd rather hear 109 00:05:15,800 --> 00:05:18,040 Speaker 1: it from like some stodgy person on the evening news 110 00:05:18,080 --> 00:05:20,479 Speaker 1: telling you, like, you know, it's ten pm, do you 111 00:05:20,480 --> 00:05:23,000 Speaker 1: know where your children are? And like scaring all the time? 112 00:05:23,040 --> 00:05:23,240 Speaker 4: You know? 113 00:05:24,320 --> 00:05:27,680 Speaker 2: So, yeah, moms knows. The moms who want to know 114 00:05:27,680 --> 00:05:31,159 Speaker 2: what's going on in their neighborhood were the original newsbreakers, 115 00:05:31,200 --> 00:05:32,960 Speaker 2: the original social media networks. 116 00:05:33,080 --> 00:05:36,000 Speaker 3: Ask a mom, yep, yep. 117 00:05:37,640 --> 00:05:43,520 Speaker 2: America. America has a problem trust. It turns out that 118 00:05:43,600 --> 00:05:47,359 Speaker 2: Americans confidence in newspapers and television news has plummeted to 119 00:05:47,440 --> 00:05:50,159 Speaker 2: an all time low. This is according to a Gallup 120 00:05:50,200 --> 00:05:53,760 Speaker 2: survey on trust in the United States as Institutions conducted 121 00:05:53,839 --> 00:05:57,160 Speaker 2: last year. Now does trust in media might conjure up 122 00:05:57,160 --> 00:05:59,520 Speaker 2: ideas of right wingers who hate c and ed and 123 00:05:59,560 --> 00:06:02,760 Speaker 2: all yours, But it's more than that, because many of 124 00:06:02,839 --> 00:06:06,520 Speaker 2: us have watched mainstream media outlets fail to thoughtfully cover 125 00:06:06,560 --> 00:06:10,599 Speaker 2: our issues, and for marginalized communities like women, trans folks, 126 00:06:10,680 --> 00:06:14,800 Speaker 2: black folks, queer folks, disabled folks, this really matters. It 127 00:06:14,839 --> 00:06:17,800 Speaker 2: can be life or death. But maybe social media can 128 00:06:17,839 --> 00:06:21,040 Speaker 2: present a solution because listen to this. Pew found that 129 00:06:21,160 --> 00:06:25,240 Speaker 2: US adults under thirty now trust information from social media 130 00:06:25,240 --> 00:06:29,000 Speaker 2: almost as much from national news outlets. So if you're 131 00:06:29,040 --> 00:06:31,920 Speaker 2: somebody like the this is a real opportunity to tell 132 00:06:31,960 --> 00:06:34,680 Speaker 2: authentic stories. I don't think I have to tell you 133 00:06:34,720 --> 00:06:39,440 Speaker 2: that distrust in traditional news networks is like really high, 134 00:06:39,440 --> 00:06:43,200 Speaker 2: particularly with marginalized folks, young people, gen Z. Why do 135 00:06:43,240 --> 00:06:44,000 Speaker 2: you think that is. 136 00:06:45,680 --> 00:06:45,800 Speaker 4: So? 137 00:06:45,880 --> 00:06:48,120 Speaker 1: What I find interesting about that is a lot of 138 00:06:48,120 --> 00:06:50,240 Speaker 1: the news that I'm bringing people is coming from these 139 00:06:50,320 --> 00:06:52,640 Speaker 1: legacy media organizations. I mean, now is the face of 140 00:06:52,640 --> 00:06:55,400 Speaker 1: the La Times TikTok for six months and it greatly 141 00:06:55,440 --> 00:06:59,120 Speaker 1: improved their sort of relationship with the audience. Sometimes I'm 142 00:06:59,120 --> 00:07:01,600 Speaker 1: pulling things up from the Washington Post or the New 143 00:07:01,680 --> 00:07:04,960 Speaker 1: York Times, like these big legacy organizations. I think the 144 00:07:05,960 --> 00:07:09,120 Speaker 1: difference here is I do believe that people trust reporters. 145 00:07:09,240 --> 00:07:11,840 Speaker 1: I think if they could meet Aaron Logan from the 146 00:07:12,000 --> 00:07:15,480 Speaker 1: La Times, they would feel differently about her reporting than 147 00:07:15,480 --> 00:07:17,000 Speaker 1: when they just read it in the newspaper, and they 148 00:07:17,000 --> 00:07:20,280 Speaker 1: sort of ascribe, like whatever bias they have to that 149 00:07:20,360 --> 00:07:24,680 Speaker 1: newspaper onto her reporting as an example, I think we 150 00:07:25,360 --> 00:07:28,680 Speaker 1: have seen this rise in advertising. We know that there 151 00:07:28,720 --> 00:07:31,160 Speaker 1: are certain channels that are bought. We know that the 152 00:07:31,200 --> 00:07:33,800 Speaker 1: goal isn't necessarily to inform the way that the news 153 00:07:33,880 --> 00:07:35,600 Speaker 1: used to be, but since we've been on this twenty 154 00:07:35,600 --> 00:07:38,440 Speaker 1: four hour cycle, the goal is to occupy your time 155 00:07:38,480 --> 00:07:41,320 Speaker 1: and keep eyeballs on you so that they can advertise. 156 00:07:41,680 --> 00:07:44,520 Speaker 1: And that's a problem across all platforms, right, like this 157 00:07:44,640 --> 00:07:47,720 Speaker 1: idea that your ability to communicate is directly related to 158 00:07:47,760 --> 00:07:51,160 Speaker 1: your ability to fundraise or to get advertisers, or to 159 00:07:52,560 --> 00:07:55,040 Speaker 1: raise money and stuff. And so I think that's where 160 00:07:55,080 --> 00:07:58,120 Speaker 1: the distrust comes from, is people feeling like these big 161 00:07:58,200 --> 00:08:01,440 Speaker 1: legacy organizations are out of time much. They're using words 162 00:08:01,480 --> 00:08:04,440 Speaker 1: that are too academic for the average person. They're talking 163 00:08:04,440 --> 00:08:08,200 Speaker 1: about things that are too high level for what we 164 00:08:08,320 --> 00:08:10,680 Speaker 1: need to know and deal with today. They feel like 165 00:08:10,720 --> 00:08:14,680 Speaker 1: they're protecting the other side. I was having a conversation 166 00:08:14,840 --> 00:08:17,640 Speaker 1: recently with Sam Woollie, who's a professor at the University 167 00:08:17,680 --> 00:08:20,400 Speaker 1: of Austin. He talks about propaganda, and he was talking 168 00:08:20,440 --> 00:08:22,520 Speaker 1: about how a lot of distrust in the media has 169 00:08:22,560 --> 00:08:24,640 Speaker 1: come from the idea that journalism is supposed to be 170 00:08:24,680 --> 00:08:28,800 Speaker 1: both sides totally objective, and you can't be when social 171 00:08:28,920 --> 00:08:31,880 Speaker 1: issues lead the current news cycle. When we're talking about 172 00:08:31,880 --> 00:08:35,079 Speaker 1: scientific research, sure we could say, should we be gena 173 00:08:35,200 --> 00:08:36,040 Speaker 1: editing humans? 174 00:08:36,360 --> 00:08:37,480 Speaker 3: I don't know, but we are. 175 00:08:37,760 --> 00:08:40,240 Speaker 1: That's a good both sides, right, But when we're talking 176 00:08:40,240 --> 00:08:44,240 Speaker 1: about the realistic existence of trans people, well we can't 177 00:08:44,240 --> 00:08:46,320 Speaker 1: both sides that. And I think when people try to 178 00:08:46,360 --> 00:08:48,640 Speaker 1: both sides that they think that these newspapers don't have 179 00:08:49,040 --> 00:08:50,640 Speaker 1: a strong point of view, they're not standing on the 180 00:08:50,679 --> 00:08:52,959 Speaker 1: right side of history, whatever the case may be, or 181 00:08:53,200 --> 00:08:54,120 Speaker 1: they're leading. 182 00:08:53,840 --> 00:08:56,000 Speaker 3: Too far to the left and they've gone woke. 183 00:08:56,400 --> 00:08:58,120 Speaker 1: And so I think a lot of it is because 184 00:08:58,120 --> 00:09:00,640 Speaker 1: social issues are leading the news right now that there's 185 00:09:00,679 --> 00:09:04,240 Speaker 1: a lot of distrust. But I do believe that individual 186 00:09:04,320 --> 00:09:07,320 Speaker 1: reporters still hold a ton of credibility with the public. 187 00:09:07,480 --> 00:09:10,040 Speaker 2: I was at a panel recently, like a journalism panel, 188 00:09:10,480 --> 00:09:13,760 Speaker 2: and someone mentioned this reporter Phil Lewis, who was like 189 00:09:13,840 --> 00:09:17,400 Speaker 2: big on Twitter, always like the big news, He's always 190 00:09:17,400 --> 00:09:19,560 Speaker 2: tweeting about it. And they were like, Okay, so this 191 00:09:19,600 --> 00:09:21,760 Speaker 2: is someone that you are familiar with, You follow this person, 192 00:09:21,800 --> 00:09:23,839 Speaker 2: you trust this person. Do you know what news out 193 00:09:23,880 --> 00:09:26,000 Speaker 2: what they write for? And I was like, no, and 194 00:09:26,040 --> 00:09:27,880 Speaker 2: he was like, the AP would never have been a 195 00:09:27,960 --> 00:09:30,760 Speaker 2: million years of guessed that. And it's like, clearly, it's 196 00:09:30,760 --> 00:09:33,600 Speaker 2: not that Phil works for the AP or is representing 197 00:09:33,640 --> 00:09:37,880 Speaker 2: the AP. I have in my mind turned Phil into 198 00:09:37,960 --> 00:09:41,240 Speaker 2: like black Twitter's town crier or whatever. And it's like 199 00:09:41,320 --> 00:09:43,600 Speaker 2: it has nothing to do with the outlet that Phil 200 00:09:43,720 --> 00:09:46,680 Speaker 2: is at his everything to do with the relationship that 201 00:09:46,840 --> 00:09:48,800 Speaker 2: I feel like I have when I see Phil in 202 00:09:48,880 --> 00:09:51,360 Speaker 2: my feet. So I think that you're exactly right. I 203 00:09:51,440 --> 00:09:55,760 Speaker 2: also think there's really something to this idea about how 204 00:09:55,800 --> 00:10:00,640 Speaker 2: we've gotten to this place where journalists, or maybe it's 205 00:10:00,640 --> 00:10:04,240 Speaker 2: not even journalists, maybe it's media outlets feel like it's 206 00:10:04,280 --> 00:10:07,760 Speaker 2: their job to give both sides of issues that really 207 00:10:07,800 --> 00:10:10,240 Speaker 2: don't have two sides to it, right. Like that's been 208 00:10:10,280 --> 00:10:14,679 Speaker 2: a real frustration of mine where I'll be like, oh, 209 00:10:15,080 --> 00:10:18,920 Speaker 2: this transperson wants to have rights, people on the other 210 00:10:19,040 --> 00:10:21,600 Speaker 2: side say they should all be killed. The truth is 211 00:10:21,600 --> 00:10:23,559 Speaker 2: probably somewhere in the middle, and it's like, no, it's 212 00:10:23,600 --> 00:10:27,120 Speaker 2: really not. It's really and you're doing folks a disservice 213 00:10:27,160 --> 00:10:29,800 Speaker 2: when you train them. But like this is what good 214 00:10:30,080 --> 00:10:33,200 Speaker 2: journalism is. Good journalism does not try to find the 215 00:10:33,240 --> 00:10:36,840 Speaker 2: middle ground of of like a position that doesn't necessarily 216 00:10:36,880 --> 00:10:39,400 Speaker 2: even have two sides, Like, how do we get out 217 00:10:39,440 --> 00:10:43,080 Speaker 2: of that trap that trains people that this is what 218 00:10:43,120 --> 00:10:44,160 Speaker 2: good journalism is. 219 00:10:45,400 --> 00:10:47,800 Speaker 1: So I think that we're going to have a longer 220 00:10:47,880 --> 00:10:49,840 Speaker 1: road because we were also in a day and age 221 00:10:49,840 --> 00:10:53,960 Speaker 1: where I can make anything true. I can make anything true. 222 00:10:54,320 --> 00:10:58,760 Speaker 1: You can find something that looks very official journalism, very 223 00:10:58,760 --> 00:11:02,480 Speaker 1: official newspaper, news whose outlet, something that's called like the 224 00:11:02,559 --> 00:11:06,160 Speaker 1: Daily Caller, or like the Telegram, or you know, I 225 00:11:06,200 --> 00:11:09,240 Speaker 1: mean that sounds like a legit newspaper. It's all lined up, 226 00:11:09,440 --> 00:11:12,720 Speaker 1: it's got the columns right, the pictures are right, looks good. 227 00:11:13,320 --> 00:11:14,439 Speaker 3: You can make anything true. 228 00:11:14,600 --> 00:11:16,200 Speaker 1: And so as long as we live in a world 229 00:11:16,240 --> 00:11:19,840 Speaker 1: where we can make anything true and the truth is 230 00:11:20,080 --> 00:11:22,640 Speaker 1: so flexible in fact that it is more based on 231 00:11:22,720 --> 00:11:25,160 Speaker 1: the opinion and what will be received as opposed to 232 00:11:25,200 --> 00:11:29,360 Speaker 1: like what is objectively true, we're going to continue to 233 00:11:29,400 --> 00:11:33,160 Speaker 1: have a lot of problems with people feeling like they 234 00:11:33,160 --> 00:11:35,560 Speaker 1: can't trust journalism, or like there's both sides of it, 235 00:11:35,640 --> 00:11:39,040 Speaker 1: or everything is true, because there's no solid consensus on 236 00:11:39,160 --> 00:11:42,439 Speaker 1: anything at all. And that's sort of the nonsense that 237 00:11:42,480 --> 00:11:44,000 Speaker 1: I try to deal with on under the desk is. 238 00:11:44,040 --> 00:11:45,440 Speaker 3: People will be like, why don't you talk about this? 239 00:11:45,480 --> 00:11:48,839 Speaker 1: And I'm like, there's no way I can talk about 240 00:11:48,960 --> 00:11:53,040 Speaker 1: that without just descending into absolute madness because it's too 241 00:11:53,120 --> 00:11:55,880 Speaker 1: much of a third real topic. And people have built 242 00:11:55,920 --> 00:11:59,160 Speaker 1: their religion into the way they receive news now, or 243 00:11:59,200 --> 00:12:02,000 Speaker 1: they're perceived religion into the way they receive news now, 244 00:12:02,320 --> 00:12:07,079 Speaker 1: and so it's just people forcing something to be true, 245 00:12:07,400 --> 00:12:09,360 Speaker 1: whether it is or not. And I think we have 246 00:12:09,400 --> 00:12:12,480 Speaker 1: to fight that before we can expect journalists to keep 247 00:12:12,600 --> 00:12:13,000 Speaker 1: up with that. 248 00:12:13,120 --> 00:12:16,760 Speaker 2: Do you think in some ways we're like beyond truth? 249 00:12:17,080 --> 00:12:20,360 Speaker 2: Sometimes I worry that we're just in this new era 250 00:12:20,520 --> 00:12:23,800 Speaker 2: where it doesn't really matter ultimately. It doesn't really matter 251 00:12:23,840 --> 00:12:26,640 Speaker 2: if something is actually true or not, even things that 252 00:12:26,720 --> 00:12:29,280 Speaker 2: can and cannot and like can and cannot be objectively true, 253 00:12:29,480 --> 00:12:31,920 Speaker 2: because that's not what we're really arguing about. We're arguing 254 00:12:31,960 --> 00:12:36,000 Speaker 2: about people's identities and their ideologies and their values and 255 00:12:36,000 --> 00:12:38,959 Speaker 2: what they feel and all of these perceptions, and it 256 00:12:39,040 --> 00:12:41,679 Speaker 2: kind of doesn't matter ultimately if the thing is true. 257 00:12:41,679 --> 00:12:43,040 Speaker 2: Do you ever feel that way? 258 00:12:43,720 --> 00:12:46,640 Speaker 1: I do so, and I think that we can fix it, 259 00:12:46,679 --> 00:12:48,160 Speaker 1: but I think we have to be able to name 260 00:12:48,200 --> 00:12:50,600 Speaker 1: it so like, for me, the Buffalo Bills are the 261 00:12:50,600 --> 00:12:53,280 Speaker 1: greatest football team that have ever played the game. You 262 00:12:53,320 --> 00:12:57,160 Speaker 1: can't tell me nothing about the Buffalo Bills, right, they're 263 00:12:57,200 --> 00:13:00,319 Speaker 1: the best. When they lose, it wasn't their fat. Else 264 00:13:00,840 --> 00:13:03,520 Speaker 1: when they win, it's because God himself was on the 265 00:13:03,559 --> 00:13:06,960 Speaker 1: field that day with Josh Allen, Right, Like, I love 266 00:13:07,120 --> 00:13:13,360 Speaker 1: the Bills unreasonably with no end in sight. Okay, And 267 00:13:13,400 --> 00:13:16,720 Speaker 1: that is normal for a sports fan. That is not 268 00:13:16,960 --> 00:13:20,520 Speaker 1: normal for us to ascribe to politicians. There is not 269 00:13:20,720 --> 00:13:23,959 Speaker 1: one politician that should walk the way, the way that 270 00:13:24,280 --> 00:13:26,560 Speaker 1: should be treated the way that we treat our sports teams. 271 00:13:26,960 --> 00:13:29,480 Speaker 1: And we've also taken the truth and made it a 272 00:13:29,520 --> 00:13:33,520 Speaker 1: matter of who is winning the truth. Right, So you 273 00:13:33,559 --> 00:13:36,360 Speaker 1: take a politician or you take a public figure, and 274 00:13:36,640 --> 00:13:39,679 Speaker 1: we have a truth about them. They were found liable 275 00:13:39,840 --> 00:13:43,400 Speaker 1: of sexual assault, right, So that's a truth, that's a 276 00:13:43,440 --> 00:13:47,000 Speaker 1: fact that happened. But that's your team, that's your guy. 277 00:13:47,520 --> 00:13:50,240 Speaker 1: So you're going to make every excuse about like why 278 00:13:50,320 --> 00:13:52,920 Speaker 1: that might be a little less true or why that 279 00:13:52,960 --> 00:13:56,080 Speaker 1: doesn't matter in the long run. And that's a problem too. 280 00:13:56,520 --> 00:13:58,480 Speaker 1: And this has all been done on purpose, right since 281 00:13:58,520 --> 00:14:01,360 Speaker 1: the nineteen seventies, and and for the lot for centuries 282 00:14:01,440 --> 00:14:03,040 Speaker 1: upon centuries, this has been done right. 283 00:14:03,240 --> 00:14:05,840 Speaker 3: This is just human nature. But what they've done. 284 00:14:05,720 --> 00:14:08,640 Speaker 1: So well right now is this division of media outlets 285 00:14:08,640 --> 00:14:10,520 Speaker 1: where you have like your left wing outlets and your 286 00:14:10,559 --> 00:14:13,800 Speaker 1: right wing outlets, and they're fighting like sports teams. And 287 00:14:13,880 --> 00:14:17,920 Speaker 1: so because you have triggered this like protective fan instinct 288 00:14:18,000 --> 00:14:21,320 Speaker 1: in people, they're going to defend their team, their guy, 289 00:14:22,200 --> 00:14:26,040 Speaker 1: their gods, the way that they do with religion in sports, 290 00:14:26,080 --> 00:14:29,760 Speaker 1: as opposed to keeping an objective lens on accountability when 291 00:14:29,800 --> 00:14:32,640 Speaker 1: it comes to public figures and politicians. And so I 292 00:14:32,680 --> 00:14:35,320 Speaker 1: think if we know that that's what's happening to people 293 00:14:35,320 --> 00:14:38,160 Speaker 1: when they're receiving stories, we can adjust the way we're 294 00:14:38,160 --> 00:14:41,680 Speaker 1: telling the story to make it make sense to that 295 00:14:41,720 --> 00:14:43,960 Speaker 1: person and kind of break that haze that a lot 296 00:14:44,000 --> 00:14:46,440 Speaker 1: of folks have on public figures. 297 00:14:50,120 --> 00:14:50,560 Speaker 2: Let's take a. 298 00:14:50,560 --> 00:15:03,800 Speaker 4: Quick break at our back. 299 00:15:04,960 --> 00:15:07,040 Speaker 2: I never thought i'd see the day where people were 300 00:15:07,080 --> 00:15:11,640 Speaker 2: like I hate CNN or like this news outlet, like 301 00:15:11,800 --> 00:15:14,000 Speaker 2: it just yah, they're not sports teams. And it's so 302 00:15:14,200 --> 00:15:16,920 Speaker 2: curious that we're in this day and age where where 303 00:15:16,960 --> 00:15:20,480 Speaker 2: you get your news it's like something to be defended 304 00:15:20,520 --> 00:15:22,920 Speaker 2: about you it's like, no, not even about the news 305 00:15:22,960 --> 00:15:25,640 Speaker 2: that they create, Like it's such a weird position that 306 00:15:25,680 --> 00:15:27,760 Speaker 2: we find ourselves in this day and age. 307 00:15:28,120 --> 00:15:32,040 Speaker 1: It's obsessive, it's intentionally addictive. They've used all of the 308 00:15:32,080 --> 00:15:34,160 Speaker 1: things that used to make us addicted to making sure 309 00:15:34,200 --> 00:15:37,120 Speaker 1: we watch TGIF every single Friday night or we never 310 00:15:37,160 --> 00:15:39,560 Speaker 1: missed an episode of The Bachelor, and they've built that 311 00:15:39,680 --> 00:15:42,040 Speaker 1: into the ways that they news program now, so you're 312 00:15:42,080 --> 00:15:44,720 Speaker 1: just as addicted to those programs and to that information 313 00:15:45,200 --> 00:15:48,240 Speaker 1: as you would be your favorite television show or scary movies. 314 00:15:48,560 --> 00:15:49,800 Speaker 1: I mean, you know, you want to see that next 315 00:15:49,800 --> 00:15:52,200 Speaker 1: one that's coming out right away, right away. And so 316 00:15:52,280 --> 00:15:53,720 Speaker 1: I think those are the things that we have to 317 00:15:53,800 --> 00:15:56,160 Speaker 1: kind of overcome when it comes to media, and then 318 00:15:56,240 --> 00:16:02,480 Speaker 1: we also have to overcome this feeling of better than 319 00:16:02,640 --> 00:16:05,520 Speaker 1: that a lot of journalists have. I've been asking myself 320 00:16:05,560 --> 00:16:08,840 Speaker 1: a lot what is a journalism? Like what is a journalism? 321 00:16:08,960 --> 00:16:10,960 Speaker 1: Because there are some people who look at what I 322 00:16:11,000 --> 00:16:13,840 Speaker 1: do and they're like, now you're a hack who reads headlines, 323 00:16:13,880 --> 00:16:15,480 Speaker 1: and I'm like, okay, And then there are other people 324 00:16:15,480 --> 00:16:18,040 Speaker 1: who are like this is incredible new media. And then 325 00:16:18,040 --> 00:16:19,600 Speaker 1: there are other people who are like well, the original 326 00:16:19,640 --> 00:16:21,800 Speaker 1: reporting you do on the podcast kind of cancels out 327 00:16:21,840 --> 00:16:23,920 Speaker 1: the fact that your TikTok is corny, and there are 328 00:16:23,920 --> 00:16:26,000 Speaker 1: other people who are like, well, your TikTok reaches more 329 00:16:26,000 --> 00:16:28,760 Speaker 1: people and has a higher finish rate than any other 330 00:16:28,840 --> 00:16:31,280 Speaker 1: news outlet on TikTok, And I'm like, okay, so what 331 00:16:31,520 --> 00:16:34,080 Speaker 1: is it like? But everyone's still trying to decide have 332 00:16:34,200 --> 00:16:37,840 Speaker 1: I earned the right to be a part of journalism 333 00:16:38,320 --> 00:16:43,320 Speaker 1: right because that industry has been so gate kept and 334 00:16:43,400 --> 00:16:46,200 Speaker 1: so academicized, which is not a word, but it is 335 00:16:46,280 --> 00:16:49,920 Speaker 1: now where it's like people, you know, I don't claim 336 00:16:50,080 --> 00:16:53,560 Speaker 1: to rival Taylor Therenz when it comes to investigative reporting 337 00:16:53,640 --> 00:16:57,720 Speaker 1: on the Internet, but both of us are really important 338 00:16:57,880 --> 00:17:00,600 Speaker 1: to it getting to the public. Taylor can write something 339 00:17:00,640 --> 00:17:02,840 Speaker 1: that's out and we're friends, which I'm bringing her up 340 00:17:02,840 --> 00:17:05,280 Speaker 1: as an example. Taylor can write something that took her 341 00:17:05,400 --> 00:17:07,880 Speaker 1: months that the Washington Post has paid her to write, 342 00:17:07,920 --> 00:17:10,600 Speaker 1: to investigate, to take that time to use those resources 343 00:17:10,640 --> 00:17:15,080 Speaker 1: to get this incredible story together. If she can't connect 344 00:17:15,080 --> 00:17:18,000 Speaker 1: with the audience because she was building that huge story 345 00:17:18,040 --> 00:17:20,520 Speaker 1: and she was busy, then who's going to deliver it 346 00:17:20,520 --> 00:17:22,800 Speaker 1: to them? To sort of direct people in the direction 347 00:17:23,000 --> 00:17:25,439 Speaker 1: of that piece. So it takes a lot of different 348 00:17:25,440 --> 00:17:29,560 Speaker 1: folks to make journalism work nowadays. And I think that's 349 00:17:29,600 --> 00:17:31,399 Speaker 1: a good thing if we could all embrace it and 350 00:17:31,480 --> 00:17:34,160 Speaker 1: understand our place within it. Because it's not just one 351 00:17:34,200 --> 00:17:36,800 Speaker 1: white man writing a story from a white man's perspective 352 00:17:36,840 --> 00:17:39,239 Speaker 1: handing it to another white news anchor to deliver on 353 00:17:39,280 --> 00:17:41,600 Speaker 1: an entirely white friend major network. 354 00:17:42,080 --> 00:17:43,600 Speaker 3: And that's good. 355 00:17:44,040 --> 00:17:46,040 Speaker 1: Like, these are good problems to have, but I think 356 00:17:46,040 --> 00:17:48,160 Speaker 1: we need to start thinking about what is a journalism, 357 00:17:48,200 --> 00:17:52,399 Speaker 1: who is a journalist, and why we are so gatekeepy 358 00:17:52,640 --> 00:17:54,720 Speaker 1: about that industry. Like I fighting go to Columbia School 359 00:17:54,760 --> 00:17:57,120 Speaker 1: of Journalism or the best question I get all the time, 360 00:17:57,240 --> 00:17:58,359 Speaker 1: did you go to Jay's School? 361 00:17:59,160 --> 00:18:03,520 Speaker 3: First of all, I was like, yeah, I don't know, Like, 362 00:18:04,600 --> 00:18:07,440 Speaker 3: so what is it? I'm like, what is Jay School? 363 00:18:08,960 --> 00:18:10,200 Speaker 2: Like? I went to theater. 364 00:18:10,000 --> 00:18:12,119 Speaker 1: School and then I went to business school. I was 365 00:18:12,160 --> 00:18:15,240 Speaker 1: like Jay's school. I'm like Jesuit school. I couldn't I 366 00:18:15,280 --> 00:18:16,479 Speaker 1: couldn't picture what it was. 367 00:18:16,960 --> 00:18:20,640 Speaker 2: That's amazing. You know, did you want to be in 368 00:18:20,720 --> 00:18:23,200 Speaker 2: journalism when you were younger? Did you see yourself being 369 00:18:23,240 --> 00:18:24,320 Speaker 2: in the role that you are today? 370 00:18:25,440 --> 00:18:28,080 Speaker 1: I have always been really good at explaining things, and 371 00:18:28,119 --> 00:18:31,400 Speaker 1: I've always been a negotiator. And before I was doing 372 00:18:31,400 --> 00:18:33,960 Speaker 1: what I do now, I worked in food policy a lot. 373 00:18:33,960 --> 00:18:37,000 Speaker 1: I've always been fascinated about history and politics and just 374 00:18:37,240 --> 00:18:40,560 Speaker 1: more the society dynamics of the world. I would say, 375 00:18:40,600 --> 00:18:42,760 Speaker 1: is like more what I'm interested in, and that's kind 376 00:18:42,760 --> 00:18:44,919 Speaker 1: of what I speak to. So now I'm doing the news, 377 00:18:45,000 --> 00:18:48,080 Speaker 1: but the news is always coming from like a society lens. 378 00:18:48,119 --> 00:18:51,280 Speaker 1: How does this affect people not necessarily, how does this 379 00:18:51,320 --> 00:18:55,520 Speaker 1: affect processes? Or how does this affect politics? And so 380 00:18:56,160 --> 00:19:01,920 Speaker 1: I have always been like this. I did not imagine 381 00:19:01,920 --> 00:19:03,800 Speaker 1: that I would be like a news anchor. But what's 382 00:19:03,840 --> 00:19:06,840 Speaker 1: kind of funny is my pledge sister from my sorority 383 00:19:06,920 --> 00:19:09,440 Speaker 1: is also a news anchor in Seattle, and she's like, yeah, no, 384 00:19:09,560 --> 00:19:10,560 Speaker 1: this makes sense for us. 385 00:19:11,800 --> 00:19:12,440 Speaker 3: I don't know why. 386 00:19:12,560 --> 00:19:14,800 Speaker 1: We were just best friends and both ended up like 387 00:19:14,840 --> 00:19:16,520 Speaker 1: kind of as news anchors. I mean, she's like the 388 00:19:16,600 --> 00:19:20,320 Speaker 1: nightly news anchor in Seattle. But I think I have 389 00:19:20,359 --> 00:19:22,960 Speaker 1: a performance background. I have a theater background. I'm very 390 00:19:22,960 --> 00:19:25,399 Speaker 1: good at understanding big concepts very quickly. I'm used to 391 00:19:25,480 --> 00:19:27,520 Speaker 1: explaining things that are very complicated, like I used to 392 00:19:27,560 --> 00:19:31,920 Speaker 1: explain food policy to chefs, and I love this work, 393 00:19:31,960 --> 00:19:33,920 Speaker 1: and I love connecting with people, and I love being 394 00:19:33,920 --> 00:19:36,600 Speaker 1: a helper, and so in those ways, I think I 395 00:19:36,640 --> 00:19:39,159 Speaker 1: see myself fitting into this world. And this is the 396 00:19:39,240 --> 00:19:40,840 Speaker 1: dream that I always had. I just didn't know it 397 00:19:40,920 --> 00:19:42,000 Speaker 1: was going to come in this can. 398 00:19:42,200 --> 00:19:44,440 Speaker 2: I think you have a gift for spreading a message 399 00:19:44,440 --> 00:19:47,840 Speaker 2: and spreading information and really making people connect and care, 400 00:19:48,040 --> 00:19:50,760 Speaker 2: you know, dissemination, And to your point about how so 401 00:19:50,880 --> 00:19:53,520 Speaker 2: much of media can turn people off, it really speaks 402 00:19:53,520 --> 00:19:56,720 Speaker 2: to the importance of dissemination because I get sit down 403 00:19:56,760 --> 00:20:00,720 Speaker 2: and write the most compelling, nuanced, well researched piece on 404 00:20:00,760 --> 00:20:03,359 Speaker 2: an issue in the New York Times. But some people 405 00:20:03,440 --> 00:20:05,119 Speaker 2: are just never going to be the type of people 406 00:20:05,280 --> 00:20:07,760 Speaker 2: who pick up a New York Times newspaper, so that 407 00:20:07,800 --> 00:20:10,719 Speaker 2: message isn't getting to everybody who needs to hear it. 408 00:20:10,800 --> 00:20:13,400 Speaker 2: Something that we've just started doing recently on this podcast, 409 00:20:13,480 --> 00:20:16,119 Speaker 2: which is in addition to the sort of in depth 410 00:20:16,160 --> 00:20:18,800 Speaker 2: interviews like the one that you're on right now, we 411 00:20:18,840 --> 00:20:23,399 Speaker 2: also do these weekly news roundups where big issues around 412 00:20:23,400 --> 00:20:27,080 Speaker 2: technology and the Internet and how it's legislated we are 413 00:20:27,119 --> 00:20:31,160 Speaker 2: summarizing and making accessible now we're obviously just summarizing headlines 414 00:20:31,200 --> 00:20:33,639 Speaker 2: and stories written by other people, but we try to 415 00:20:33,640 --> 00:20:36,360 Speaker 2: put it in everyday language, make it accessible and give 416 00:20:36,400 --> 00:20:39,080 Speaker 2: people the context. And I really feel like when it 417 00:20:39,080 --> 00:20:41,720 Speaker 2: comes to tech, especially, there is something about the way 418 00:20:41,720 --> 00:20:44,919 Speaker 2: that these stories are framed that just, I don't know, 419 00:20:44,960 --> 00:20:47,040 Speaker 2: it just always turned me off. And if it's turning 420 00:20:47,080 --> 00:20:49,200 Speaker 2: me off, it's probably turning a lot of other folks 421 00:20:49,200 --> 00:20:51,359 Speaker 2: off too, so they just end up tuning it out 422 00:20:51,480 --> 00:20:54,480 Speaker 2: when they actually really need to hear it. And yeah, 423 00:20:54,520 --> 00:20:56,640 Speaker 2: most of these stories, in the way they were framed 424 00:20:56,640 --> 00:20:59,280 Speaker 2: and written, just did not speak to me as a 425 00:20:59,320 --> 00:21:03,040 Speaker 2: black woman. You know. Take AI for instance. Someone will 426 00:21:03,080 --> 00:21:05,400 Speaker 2: be reporting on AI and they would be talking about 427 00:21:05,440 --> 00:21:08,480 Speaker 2: it like a business story rather than how will this 428 00:21:08,520 --> 00:21:12,280 Speaker 2: technology impact me as somebody who was marginalized and disproportionately 429 00:21:12,280 --> 00:21:15,520 Speaker 2: harmed by technology? And sometimes it seems like these stories 430 00:21:15,560 --> 00:21:17,520 Speaker 2: were written in a way that ends up just shutting 431 00:21:17,560 --> 00:21:20,640 Speaker 2: people out who actually need to hear it. And we've 432 00:21:20,640 --> 00:21:23,840 Speaker 2: gotten a tremendous response from doing the news roundoms in 433 00:21:23,840 --> 00:21:27,120 Speaker 2: this way because I think people really want accessible kind 434 00:21:27,160 --> 00:21:29,199 Speaker 2: of like here's what you need to know, here's how 435 00:21:29,200 --> 00:21:32,159 Speaker 2: it will impact you. Coverage of important stories. You know, 436 00:21:32,280 --> 00:21:34,680 Speaker 2: that's what folks are really looking for. They don't want 437 00:21:34,720 --> 00:21:37,679 Speaker 2: to be scared into paying attention or guilted into paying attention. 438 00:21:37,920 --> 00:21:40,320 Speaker 2: They just want to know, Okay, what's going on? What 439 00:21:40,359 --> 00:21:42,439 Speaker 2: do I need to know? How will impact me? How 440 00:21:42,440 --> 00:21:44,440 Speaker 2: should I be thinking about it? How can I contextualize it? 441 00:21:44,440 --> 00:21:46,520 Speaker 2: How should I internalize it? And this is what I 442 00:21:46,560 --> 00:21:49,480 Speaker 2: think so many media outlets are just failing to do 443 00:21:49,600 --> 00:21:52,240 Speaker 2: for people who actually really do want it. 444 00:21:52,640 --> 00:21:55,399 Speaker 1: So that and that speaks to lived experience, right, Like 445 00:21:55,760 --> 00:21:58,040 Speaker 1: I always had a work, so I didn't have time. 446 00:21:58,160 --> 00:22:01,000 Speaker 1: Even in college, I had to work. I couldn't possibly 447 00:22:01,440 --> 00:22:03,480 Speaker 1: so I never developed the skill to sit down on 448 00:22:03,560 --> 00:22:04,800 Speaker 1: Sunday or at the end of my day or at 449 00:22:04,840 --> 00:22:07,160 Speaker 1: the beginning of my day and really get into reading 450 00:22:07,240 --> 00:22:10,159 Speaker 1: something and like really giving myself time to reflect on 451 00:22:10,160 --> 00:22:10,679 Speaker 1: that something. 452 00:22:11,000 --> 00:22:12,119 Speaker 3: I don't have a lot of time. 453 00:22:12,400 --> 00:22:14,200 Speaker 1: But a lot of the people who get to speak, 454 00:22:14,240 --> 00:22:15,840 Speaker 1: and a lot of the people that get platform and 455 00:22:15,880 --> 00:22:18,879 Speaker 1: get to write, did have that experience because they immerse 456 00:22:18,960 --> 00:22:22,720 Speaker 1: themselves culturally in that kind of time. They had that 457 00:22:22,840 --> 00:22:24,560 Speaker 1: kind of time. I didn't have that kind of time. 458 00:22:24,960 --> 00:22:27,760 Speaker 1: And so now they're writing, and they're writing expecting that 459 00:22:27,840 --> 00:22:29,879 Speaker 1: the audience has had a similar walk of life that 460 00:22:29,920 --> 00:22:33,199 Speaker 1: they did and they didn't. And so that's why for me, 461 00:22:33,240 --> 00:22:34,639 Speaker 1: the news is so quick at the end of the night, 462 00:22:34,640 --> 00:22:35,879 Speaker 1: because I'm like, I got to tell you what you 463 00:22:35,920 --> 00:22:37,640 Speaker 1: got to know in a minute and a half because 464 00:22:37,640 --> 00:22:39,679 Speaker 1: we got kids to feed, we got homework to do, 465 00:22:40,080 --> 00:22:42,520 Speaker 1: or I've got another job to get to, or I've 466 00:22:42,520 --> 00:22:44,600 Speaker 1: got like my wife has rehearsal tomorrow night. So I'm 467 00:22:44,600 --> 00:22:46,000 Speaker 1: trying to like make sure I do the news before 468 00:22:46,000 --> 00:22:48,480 Speaker 1: I drive a rehearsal. Like, there's all kinds of stuff 469 00:22:48,480 --> 00:22:52,639 Speaker 1: that we do, especially from marginalized groups, that take up 470 00:22:52,680 --> 00:22:54,960 Speaker 1: more of our time, that give us less time to reflect. 471 00:22:55,000 --> 00:22:57,320 Speaker 1: So if I could get you something fast that's going 472 00:22:57,400 --> 00:22:59,199 Speaker 1: to tell you how it's going to affect you, and 473 00:22:59,240 --> 00:23:01,120 Speaker 1: then you can just refer like on that one part 474 00:23:01,280 --> 00:23:04,120 Speaker 1: or something. Now we've sort of like helped people catch 475 00:23:04,200 --> 00:23:07,120 Speaker 1: up with the folks who have all this leisure time 476 00:23:07,320 --> 00:23:11,560 Speaker 1: to dive into the theology of what's going on. 477 00:23:11,760 --> 00:23:14,879 Speaker 2: You know. Yes, I used to watch shows like Sex 478 00:23:14,880 --> 00:23:17,680 Speaker 2: and the City or like movies that took place in 479 00:23:17,720 --> 00:23:19,639 Speaker 2: New York and it would be like, oh, I'm just 480 00:23:19,640 --> 00:23:22,720 Speaker 2: sitting around with my stack of like magazines and newspapers, 481 00:23:22,760 --> 00:23:25,280 Speaker 2: and it's like, who's doing that? Like what adult has 482 00:23:25,359 --> 00:23:28,000 Speaker 2: time to sit around with their like coffee and their 483 00:23:28,040 --> 00:23:31,040 Speaker 2: five newspapers and just pour through them. 484 00:23:31,520 --> 00:23:33,959 Speaker 1: I lived in New York for a number of years 485 00:23:34,560 --> 00:23:38,199 Speaker 1: during and after college, and so many people nowadays, like 486 00:23:38,240 --> 00:23:40,119 Speaker 1: because I'm an elder millennial will be like, yeah, I 487 00:23:40,119 --> 00:23:42,480 Speaker 1: remember when we used to like watch friends, remember Sex 488 00:23:42,520 --> 00:23:44,320 Speaker 1: and the City. Originally, I'm like, no, girl, I had 489 00:23:44,359 --> 00:23:46,920 Speaker 1: a work, I never was home at night to watch 490 00:23:46,960 --> 00:23:48,320 Speaker 1: I never watched The Office. 491 00:23:48,440 --> 00:23:49,879 Speaker 3: I never watched any of these shows. 492 00:23:49,920 --> 00:23:52,480 Speaker 1: The last sitcom I watched was Seinfeldt because I was 493 00:23:52,480 --> 00:23:54,639 Speaker 1: in high school and like maybe I had time to 494 00:23:54,680 --> 00:23:56,560 Speaker 1: watch that with my dad if I was up late, right, Like, 495 00:23:56,600 --> 00:23:58,640 Speaker 1: I never watched any of these shows about New York 496 00:23:58,720 --> 00:24:00,240 Speaker 1: because I lived there and I had I have a 497 00:24:00,280 --> 00:24:02,120 Speaker 1: lot of jobs, and people who. 498 00:24:02,080 --> 00:24:05,560 Speaker 2: Are like creating the fantasy of like what life looks 499 00:24:05,600 --> 00:24:07,480 Speaker 2: like there. It's like no people who actually are here. 500 00:24:07,760 --> 00:24:08,600 Speaker 3: They live in Ohio. 501 00:24:08,920 --> 00:24:13,879 Speaker 2: Yeah, breaking news from there are no girls on the 502 00:24:13,880 --> 00:24:17,760 Speaker 2: internet news. This is voiceover narration bridget and I'm getting 503 00:24:17,800 --> 00:24:20,920 Speaker 2: reports that anyone can get a microphone and start saying 504 00:24:21,040 --> 00:24:23,240 Speaker 2: anything they want about the news and current events on 505 00:24:23,280 --> 00:24:25,520 Speaker 2: TikTok and try to get people to think they're a 506 00:24:25,560 --> 00:24:29,400 Speaker 2: reputable source. For instance, after the tragic murder of four 507 00:24:29,440 --> 00:24:32,399 Speaker 2: students on the campus of University of Idaho, a self 508 00:24:32,440 --> 00:24:37,040 Speaker 2: proclaimed Internet sleuthed and tarot card reader got tons and 509 00:24:37,080 --> 00:24:42,160 Speaker 2: tons of views after reporting scare quotes about the case 510 00:24:42,200 --> 00:24:45,239 Speaker 2: on TikTok and accusing a professor who had nothing to 511 00:24:45,280 --> 00:24:48,199 Speaker 2: do with it of being the culprit. So for someone 512 00:24:48,240 --> 00:24:51,240 Speaker 2: like me who was invested in our internet ecosystems being 513 00:24:51,280 --> 00:24:55,199 Speaker 2: places where accurate information thrives, I gotta be honest, it 514 00:24:55,320 --> 00:24:59,320 Speaker 2: worries me. But V says that's what happens when creators 515 00:24:59,359 --> 00:25:02,560 Speaker 2: are just focused on things like eyeballs and engagement rather 516 00:25:02,600 --> 00:25:06,879 Speaker 2: than focusing on authentically amplifying stories that really matter, Because 517 00:25:06,880 --> 00:25:10,040 Speaker 2: when the latter happens, you get platforms that are flooded 518 00:25:10,040 --> 00:25:13,960 Speaker 2: with helpful, thoughtful stories, especially ones that might otherwise be 519 00:25:14,080 --> 00:25:17,560 Speaker 2: underreported or overlooked. Think about all the different stories in 520 00:25:17,560 --> 00:25:20,119 Speaker 2: the last few years that got more visibility because of 521 00:25:20,160 --> 00:25:24,120 Speaker 2: social media platforms like TikTok, Like the Tennessee three where 522 00:25:24,160 --> 00:25:27,400 Speaker 2: three lawmakers, two black and one a woman, were expelled 523 00:25:27,400 --> 00:25:30,680 Speaker 2: from office over their protests in favor of gun control. 524 00:25:31,280 --> 00:25:34,879 Speaker 2: For Baby Chanel, an Indigenous child in Alaska living with 525 00:25:34,960 --> 00:25:38,960 Speaker 2: non Native foster parents who racially demeaned her online, which 526 00:25:39,000 --> 00:25:42,840 Speaker 2: shed light on the Indian Child Welfare Act. These stories 527 00:25:42,960 --> 00:25:45,679 Speaker 2: should be told. They deserve to be told, and with 528 00:25:45,760 --> 00:25:48,920 Speaker 2: more and more people making good content on platforms like TikTok, 529 00:25:49,280 --> 00:25:51,880 Speaker 2: these says that it increases the chances that those stories 530 00:25:51,920 --> 00:25:54,440 Speaker 2: will beach more people, so will all be better informed. 531 00:25:54,800 --> 00:25:57,959 Speaker 2: Back to you interview Bridget do you think that having 532 00:25:58,280 --> 00:26:01,199 Speaker 2: more and more people making their own news content on 533 00:26:01,240 --> 00:26:04,320 Speaker 2: platforms like TikTok, do you think that that will help 534 00:26:04,480 --> 00:26:07,720 Speaker 2: curb things like misinformation or be a way to help 535 00:26:07,920 --> 00:26:10,960 Speaker 2: it or make it worse? Like? What are your thoughts. 536 00:26:11,880 --> 00:26:14,560 Speaker 1: I think the more people that are making content generally 537 00:26:14,680 --> 00:26:17,280 Speaker 1: the better. I think it's great for people to be 538 00:26:17,320 --> 00:26:19,960 Speaker 1: able to express themselves and you can see people grow. 539 00:26:20,040 --> 00:26:21,840 Speaker 1: Some people who weren't that good in the beginning or 540 00:26:21,880 --> 00:26:24,560 Speaker 1: were like overperforming, have now kind of relaxed and gotten better. 541 00:26:24,560 --> 00:26:25,680 Speaker 3: Other people have fallen off. 542 00:26:26,960 --> 00:26:30,080 Speaker 1: What I think is great about everybody making content is 543 00:26:30,119 --> 00:26:31,840 Speaker 1: once they get over that kind of I do make 544 00:26:31,880 --> 00:26:33,879 Speaker 1: it look kind of easy, right, Like, there are some 545 00:26:34,040 --> 00:26:36,080 Speaker 1: people who can make this look like, oh I could 546 00:26:36,080 --> 00:26:38,080 Speaker 1: do that, and that's great, until you go to do 547 00:26:38,119 --> 00:26:40,120 Speaker 1: it and you're like, oh, wait a minute, Like there's 548 00:26:40,160 --> 00:26:42,280 Speaker 1: like a level of skills that like maybe in a 549 00:26:42,320 --> 00:26:44,320 Speaker 1: walk of life that I didn't share. But then they 550 00:26:44,359 --> 00:26:46,000 Speaker 1: start to narrow on on the stuff that they get 551 00:26:46,040 --> 00:26:48,199 Speaker 1: positive attention for, which is oftentimes the things that they 552 00:26:48,200 --> 00:26:50,919 Speaker 1: are actually good at are genuinely interested in themselves. So 553 00:26:50,920 --> 00:26:52,520 Speaker 1: I think in those ways we've gotten a lot of 554 00:26:52,600 --> 00:26:55,600 Speaker 1: citizen journalists or pure journalists, whatever you want to call them, 555 00:26:55,680 --> 00:27:00,440 Speaker 1: news readers that have helped spread the message. Well, then 556 00:27:00,480 --> 00:27:03,199 Speaker 1: you have the people who really don't understand the difference 557 00:27:03,200 --> 00:27:06,359 Speaker 1: between positive and negative attention and are just going to 558 00:27:06,400 --> 00:27:10,280 Speaker 1: say something to get hate stitches because their metric for 559 00:27:10,359 --> 00:27:13,240 Speaker 1: success is a number, not an engagement and not a 560 00:27:13,280 --> 00:27:16,280 Speaker 1: likability and not a trust thing. And so you see 561 00:27:16,320 --> 00:27:18,640 Speaker 1: those people sort of like firework up and then go away, 562 00:27:18,680 --> 00:27:20,320 Speaker 1: and firework up and go away. The thing that I 563 00:27:20,359 --> 00:27:22,520 Speaker 1: would warn against when it comes to making news content 564 00:27:22,600 --> 00:27:26,800 Speaker 1: overall is to not just put yourself in reaction to 565 00:27:27,000 --> 00:27:29,920 Speaker 1: your opposition. A lot of what we see on left 566 00:27:29,960 --> 00:27:34,200 Speaker 1: wing news talk is people finding the most atrocious take 567 00:27:34,280 --> 00:27:36,680 Speaker 1: from somebody who is deeply far right with a small 568 00:27:36,720 --> 00:27:41,920 Speaker 1: following often and amplifying them into the mainstream because they 569 00:27:41,960 --> 00:27:45,159 Speaker 1: said this horrible thing about bathing suits at Target, and 570 00:27:45,200 --> 00:27:47,720 Speaker 1: they got stitched by all of left wing news talk right. 571 00:27:48,000 --> 00:27:50,199 Speaker 1: That woman probably would not have had the platforms she 572 00:27:50,320 --> 00:27:54,920 Speaker 1: did if we didn't amplify her right being the collective left, 573 00:27:56,600 --> 00:27:59,480 Speaker 1: same thing happens. And what that does when people do that, 574 00:27:59,600 --> 00:28:02,359 Speaker 1: is it not only platforms this horrible person who's never 575 00:28:02,440 --> 00:28:04,600 Speaker 1: going to be a big star on their own because 576 00:28:04,640 --> 00:28:08,800 Speaker 1: the right already has their big stars, but they also 577 00:28:08,920 --> 00:28:11,440 Speaker 1: invite the fox into our henhouse. And now we've been 578 00:28:11,720 --> 00:28:14,520 Speaker 1: my FYP was like slammed most of Pride with very 579 00:28:14,560 --> 00:28:18,240 Speaker 1: hateful things that were very disheartening to me and not celebrations. 580 00:28:18,280 --> 00:28:20,080 Speaker 1: So what I would love to see is us talk 581 00:28:20,119 --> 00:28:22,280 Speaker 1: to our own and celebrate our own and amplify our 582 00:28:22,320 --> 00:28:25,359 Speaker 1: own as opposed to being in reaction to what our 583 00:28:25,359 --> 00:28:27,919 Speaker 1: opposition says. Now, it's important to hold you know, the 584 00:28:27,920 --> 00:28:30,040 Speaker 1: other side accountable where we can, But as far as 585 00:28:30,080 --> 00:28:33,240 Speaker 1: amplifying single creators who say terrible things, their goal is 586 00:28:33,320 --> 00:28:35,400 Speaker 1: just to get amplified, and you're never going to change 587 00:28:35,400 --> 00:28:37,520 Speaker 1: their mind, and they're not acting from a place of reason, 588 00:28:37,640 --> 00:28:40,040 Speaker 1: so there's no reason to give them any room. You 589 00:28:40,120 --> 00:28:42,880 Speaker 1: saw this when Tucker Carlson came off the air. The 590 00:28:42,920 --> 00:28:45,480 Speaker 1: week that he was off the air, Rachel Mattaw was 591 00:28:45,480 --> 00:28:47,680 Speaker 1: a little bit lost. And I really respect her as 592 00:28:47,680 --> 00:28:50,400 Speaker 1: a journalist. I mean, she's incredible, right, undeniably, but she 593 00:28:50,480 --> 00:28:51,960 Speaker 1: was a little bit lost for like two or three 594 00:28:52,000 --> 00:28:54,920 Speaker 1: days because her show had gotten so use to being 595 00:28:55,040 --> 00:28:57,960 Speaker 1: in reaction to Tucker Carlson and all the stupid, horrible 596 00:28:57,960 --> 00:29:00,240 Speaker 1: things he said. The next week of her show show, 597 00:29:01,680 --> 00:29:03,720 Speaker 1: it was like the lights came on. She was talking 598 00:29:03,760 --> 00:29:05,840 Speaker 1: about stuff she was interested in. She was bringing up 599 00:29:05,880 --> 00:29:08,280 Speaker 1: the two new podcasts she had. She had a different 600 00:29:08,360 --> 00:29:10,680 Speaker 1: kind of energy because she was getting to report on 601 00:29:10,720 --> 00:29:13,280 Speaker 1: the things she cared about instead of being in reaction 602 00:29:13,440 --> 00:29:15,440 Speaker 1: to that far right figure that she had to correct 603 00:29:15,520 --> 00:29:17,640 Speaker 1: or try to balance. We're not going to correct or 604 00:29:17,640 --> 00:29:19,800 Speaker 1: balance them. So if you're a news creator and you're 605 00:29:19,840 --> 00:29:21,640 Speaker 1: looking at like what should I do? You might get 606 00:29:21,640 --> 00:29:23,280 Speaker 1: a lot of clicks up front by just sort of 607 00:29:23,320 --> 00:29:26,120 Speaker 1: doing the outrage farm thing, but you will get a 608 00:29:26,160 --> 00:29:29,000 Speaker 1: lot more attention. Your videos will have a higher finish 609 00:29:29,120 --> 00:29:31,840 Speaker 1: rate if you are talking about something that you actually 610 00:29:31,920 --> 00:29:35,080 Speaker 1: care about and sort of blocking out all the noise. 611 00:29:35,200 --> 00:29:41,240 Speaker 1: TikTok rewards positive content, so they reward positivity, where Facebook 612 00:29:41,240 --> 00:29:43,480 Speaker 1: and Instagram and Twitter kind of reward division. 613 00:29:44,040 --> 00:29:47,080 Speaker 2: It's so hard, both as a person who creates content 614 00:29:47,120 --> 00:29:51,240 Speaker 2: and also a person who consumes content, that line and 615 00:29:51,280 --> 00:29:54,640 Speaker 2: that balance is so hard. I found myself in my 616 00:29:54,760 --> 00:29:57,960 Speaker 2: the beginning stages of me on TikTok really watching a 617 00:29:58,000 --> 00:30:01,400 Speaker 2: lot of videos about like exactly like you described, like 618 00:30:01,520 --> 00:30:04,440 Speaker 2: in like I'm angry about this, I'm outraged about this 619 00:30:04,520 --> 00:30:07,440 Speaker 2: and you should too. And boy, those videos really scratch 620 00:30:07,480 --> 00:30:09,200 Speaker 2: an itch that I didn't know I had, and I 621 00:30:09,320 --> 00:30:11,280 Speaker 2: don't love that I have. But at the end of 622 00:30:11,320 --> 00:30:15,440 Speaker 2: the day, like it's kind of just boring to listen 623 00:30:15,440 --> 00:30:19,560 Speaker 2: to somebody be outraged and be angry about something and 624 00:30:19,560 --> 00:30:21,600 Speaker 2: be in reaction to something. Tell me what you love, 625 00:30:21,720 --> 00:30:24,120 Speaker 2: what are you about? What fills your cup? Like that 626 00:30:24,280 --> 00:30:28,280 Speaker 2: Like that is what Like the outrage might get my eyeballs, 627 00:30:28,520 --> 00:30:31,280 Speaker 2: but the positive positivity is what keeps my eyeballs and 628 00:30:31,360 --> 00:30:34,120 Speaker 2: keeps me interested and helps me form a relationship. I 629 00:30:34,120 --> 00:30:39,000 Speaker 2: think a big part of TikTok's infrastructure. Are these people 630 00:30:39,000 --> 00:30:41,280 Speaker 2: who come on strong with the outrage and get a 631 00:30:41,280 --> 00:30:43,880 Speaker 2: lot of engagement, But that's just not sustainable because that's 632 00:30:43,920 --> 00:30:45,920 Speaker 2: not what we're looking for us as humans. I don't 633 00:30:45,920 --> 00:30:47,480 Speaker 2: think that's what makes us feel good. 634 00:30:48,600 --> 00:30:50,760 Speaker 1: It's why they say that social media can be bad 635 00:30:50,760 --> 00:30:52,200 Speaker 1: for your mental health, and a lot of it is 636 00:30:52,200 --> 00:30:54,880 Speaker 1: the doom scrolling or this outrage farming stuff, or feeling 637 00:30:54,920 --> 00:30:56,200 Speaker 1: you have to be in reaction or you have to 638 00:30:56,200 --> 00:30:58,200 Speaker 1: correct the world. You're never going to do that. We're 639 00:30:58,240 --> 00:31:00,000 Speaker 1: never going to do that. So what I have found 640 00:31:00,160 --> 00:31:01,920 Speaker 1: as best is to be like, what am I adding 641 00:31:01,960 --> 00:31:04,440 Speaker 1: to the conversation? What do people need to know? Every Thursday? 642 00:31:04,480 --> 00:31:06,080 Speaker 1: You know, I do good news only, And that's very 643 00:31:06,080 --> 00:31:09,000 Speaker 1: on purpose because I was finding by Thursday my audience 644 00:31:09,080 --> 00:31:11,760 Speaker 1: was exhausted of hearing what had gone on that week, 645 00:31:11,760 --> 00:31:13,960 Speaker 1: because there's always so much kooky stuff going on. So 646 00:31:14,000 --> 00:31:16,720 Speaker 1: I try to stack the deck that I'm reading from 647 00:31:16,800 --> 00:31:19,560 Speaker 1: that day to be like, here's something super important, here's 648 00:31:19,560 --> 00:31:22,840 Speaker 1: something political, here's something funny, here's something super important, here's 649 00:31:22,840 --> 00:31:25,280 Speaker 1: something funny, so that we can kind of like make 650 00:31:25,360 --> 00:31:27,360 Speaker 1: it through in a way that doesn't just suck away 651 00:31:27,400 --> 00:31:30,200 Speaker 1: all of our hope and also guess it's excited to 652 00:31:30,280 --> 00:31:32,280 Speaker 1: see what comes in the next day. And then on Thursdays, 653 00:31:32,320 --> 00:31:34,960 Speaker 1: it's just all good news no matter what, because folks 654 00:31:35,000 --> 00:31:39,000 Speaker 1: are exhausted by that point, and exhaustion is how hateful 655 00:31:39,040 --> 00:31:39,760 Speaker 1: content wins. 656 00:31:39,840 --> 00:31:40,000 Speaker 4: Right. 657 00:31:40,040 --> 00:31:44,160 Speaker 1: They have endless energy and resources to just bury you 658 00:31:44,400 --> 00:31:49,080 Speaker 1: in doubt and in sadness, and so you could just 659 00:31:49,120 --> 00:31:53,440 Speaker 1: opt out. You just don't participate. I just don't participate. 660 00:31:53,760 --> 00:31:56,480 Speaker 1: I don't cover Marjorie Taylor Green. I don't cover Trump 661 00:31:56,840 --> 00:32:00,440 Speaker 1: because these are things that I can't change anybody's mind done, 662 00:32:00,680 --> 00:32:04,000 Speaker 1: and that are so unusual and that are so overcovered 663 00:32:04,000 --> 00:32:06,280 Speaker 1: by the mainstream media that I'm like, you guys have 664 00:32:06,360 --> 00:32:08,760 Speaker 1: more resources than me. You you do the heavy lifting 665 00:32:08,800 --> 00:32:10,560 Speaker 1: on that. What I want to tell you about while 666 00:32:10,600 --> 00:32:12,600 Speaker 1: you're doing three and a half hours of Trump's plane 667 00:32:12,600 --> 00:32:15,480 Speaker 1: on the tarmac is the Tennessee three. I want to 668 00:32:15,520 --> 00:32:18,120 Speaker 1: tell you about this little thing that's happening. That movement 669 00:32:18,160 --> 00:32:22,600 Speaker 1: was started on TikTok. They wouldn't be here without TikTok, 670 00:32:22,720 --> 00:32:26,240 Speaker 1: an activist TikTok really taking that story as high as 671 00:32:26,240 --> 00:32:28,200 Speaker 1: it could go. While the rest of the media was 672 00:32:28,240 --> 00:32:30,640 Speaker 1: watching Trump's plane on a tarmac. So I think there's 673 00:32:30,680 --> 00:32:33,120 Speaker 1: a lot of space for good on TikTok and the news. 674 00:32:33,160 --> 00:32:35,160 Speaker 1: I think you just got to check yourself a lot 675 00:32:35,200 --> 00:32:36,920 Speaker 1: and say, why am I saying this? What do I 676 00:32:37,000 --> 00:32:38,560 Speaker 1: care about this? What can I do about this? 677 00:32:39,120 --> 00:32:41,360 Speaker 3: And is this my community? 678 00:32:41,720 --> 00:32:45,320 Speaker 1: Don't pick somebody else's community and then decide that you're 679 00:32:45,360 --> 00:32:47,680 Speaker 1: going to speak for them, Like if you're a male creator, 680 00:32:47,720 --> 00:32:49,760 Speaker 1: don't be like, well, my mission is going to be 681 00:32:49,840 --> 00:32:53,880 Speaker 1: to uplift the voices of women, Robbie Harvey, that's gonna 682 00:32:54,080 --> 00:32:56,520 Speaker 1: you know what I mean, that's not gonna work. You know, 683 00:32:56,600 --> 00:32:59,080 Speaker 1: what is your thing that you can hold all the 684 00:32:59,160 --> 00:33:01,640 Speaker 1: water for that, You're going to be a helper for that. 685 00:33:01,720 --> 00:33:04,640 Speaker 1: You're the best person to help explain and evangelize and 686 00:33:05,240 --> 00:33:08,000 Speaker 1: dig deep on right. Make sure it's your community too, 687 00:33:08,080 --> 00:33:10,520 Speaker 1: Not that we shouldn't be uplifting other communities, just make 688 00:33:10,520 --> 00:33:13,520 Speaker 1: sure you're not speaking for that other community when you're 689 00:33:13,520 --> 00:33:14,840 Speaker 1: building your content. 690 00:33:14,600 --> 00:33:18,040 Speaker 2: Because it's so mean, like folks on TikTok, so yes 691 00:33:18,040 --> 00:33:20,440 Speaker 2: to all of that. Folks on TikTok. If there's one 692 00:33:20,480 --> 00:33:23,240 Speaker 2: thing they can sniff out is somebody who is not 693 00:33:23,280 --> 00:33:26,239 Speaker 2: being authentic. They are so they are so good at 694 00:33:26,240 --> 00:33:28,520 Speaker 2: being like, wait a minute, something smells off here. So 695 00:33:29,000 --> 00:33:33,520 Speaker 2: if you are not authentically you know, amplifying them. If 696 00:33:33,520 --> 00:33:36,520 Speaker 2: you're saying like I'm gonna like talk about for this community, 697 00:33:36,520 --> 00:33:40,080 Speaker 2: I'm gonna speak for them, No, people will sniff that 698 00:33:40,200 --> 00:33:44,520 Speaker 2: out so quickly. Don't. 699 00:33:44,960 --> 00:33:46,480 Speaker 3: Yeah, tell their stories. 700 00:33:46,520 --> 00:33:48,440 Speaker 1: Point people in the direct, like this is what I 701 00:33:48,480 --> 00:33:50,920 Speaker 1: do with some of my Indigenous friends who are creators. 702 00:33:51,240 --> 00:33:53,960 Speaker 1: Oftentimes we know that my face people are going to 703 00:33:53,960 --> 00:33:55,920 Speaker 1: stop and they're going to read. So when there's something important, 704 00:33:56,000 --> 00:33:57,800 Speaker 1: I'll be like, hey, I'm gonna tell you the story 705 00:33:57,800 --> 00:33:59,680 Speaker 1: about baby Chanelle. But who you actually need to follow 706 00:33:59,720 --> 00:34:01,680 Speaker 1: for more information on this as X y Z people. 707 00:34:01,680 --> 00:34:05,440 Speaker 1: And you make sure that those those community leaders are centered. 708 00:34:05,800 --> 00:34:07,520 Speaker 1: You say, this is what they said, this is what 709 00:34:07,560 --> 00:34:09,719 Speaker 1: they said they need, this is how you get it. 710 00:34:09,960 --> 00:34:12,600 Speaker 1: And when you need more, you go talk to show 711 00:34:12,640 --> 00:34:14,200 Speaker 1: me your mask. You go talk to WITCHI, Twitchy, you 712 00:34:14,280 --> 00:34:16,560 Speaker 1: go talk to Bossy like. These are the people who 713 00:34:16,600 --> 00:34:18,480 Speaker 1: are leading this. They're going to have your everyday events. 714 00:34:18,520 --> 00:34:21,520 Speaker 1: This is their community. They're the speakers. I'm just here 715 00:34:21,560 --> 00:34:23,840 Speaker 1: to make sure that y'all go look over there, because 716 00:34:23,880 --> 00:34:25,760 Speaker 1: I know I've got you know, a lot of attention, 717 00:34:25,880 --> 00:34:28,160 Speaker 1: so like, let me help direct your attention to somebody 718 00:34:28,160 --> 00:34:30,160 Speaker 1: who has a smaller platform but has something really important 719 00:34:30,200 --> 00:34:32,120 Speaker 1: to say. I think that can be a really great 720 00:34:32,160 --> 00:34:34,719 Speaker 1: way that TikTok allows us to collaborate. The duet and 721 00:34:34,760 --> 00:34:38,440 Speaker 1: stitch feature on TikTok smokes the threads feature on Twitter 722 00:34:38,760 --> 00:34:40,759 Speaker 1: because you have to put your face on it, so 723 00:34:40,800 --> 00:34:42,400 Speaker 1: you have to really believe what you're saying when you 724 00:34:42,480 --> 00:34:44,640 Speaker 1: correct somebody or when you add to the story. And 725 00:34:44,680 --> 00:34:46,200 Speaker 1: I think that that's really powerful too. 726 00:34:46,719 --> 00:34:49,560 Speaker 2: Yeah, it's It does have some features that I think 727 00:34:49,600 --> 00:34:52,239 Speaker 2: like really help move the conversation forward in some ways 728 00:34:52,239 --> 00:34:55,000 Speaker 2: that are better than other platforms. Like on Twitter, somebody 729 00:34:55,000 --> 00:34:57,480 Speaker 2: can quote tweet you and say any old thing, whether 730 00:34:57,560 --> 00:35:00,200 Speaker 2: it's true or not. You better really, like you're going 731 00:35:00,239 --> 00:35:02,759 Speaker 2: to call somebody out on TikTok, you better really, you know, 732 00:35:03,600 --> 00:35:04,839 Speaker 2: have your ducks in a row. 733 00:35:05,480 --> 00:35:08,279 Speaker 1: And when you say something wrong and I've gotten I mean, 734 00:35:08,320 --> 00:35:09,399 Speaker 1: you're gonna get stuff wrong. 735 00:35:09,560 --> 00:35:10,600 Speaker 3: I really try not to. 736 00:35:10,719 --> 00:35:12,719 Speaker 1: It's rare that I get something wrong or that the 737 00:35:12,760 --> 00:35:15,120 Speaker 1: story changes very quickly and now it's different from what 738 00:35:15,200 --> 00:35:17,560 Speaker 1: we thought. And I'll always do corrections because I don't 739 00:35:17,560 --> 00:35:19,520 Speaker 1: think there's anything to me embarrassed about. When you have 740 00:35:19,520 --> 00:35:21,560 Speaker 1: to do a correction, you should do it as quickly 741 00:35:21,600 --> 00:35:24,400 Speaker 1: and as efficiently and as honestly as you can is 742 00:35:24,840 --> 00:35:27,479 Speaker 1: to make those corrections because it is your face out there. 743 00:35:27,600 --> 00:35:31,680 Speaker 3: So TikTok will get you, they'll hold you accountable. If 744 00:35:31,760 --> 00:35:33,480 Speaker 3: you say something, I'll give you. 745 00:35:33,520 --> 00:35:36,960 Speaker 1: My example was the Chris Rock slap. I was watching 746 00:35:37,640 --> 00:35:40,359 Speaker 1: the Academy Awards or whatever it was award show and 747 00:35:40,440 --> 00:35:42,399 Speaker 1: he slept and I had it like this, I had 748 00:35:42,440 --> 00:35:45,160 Speaker 1: it so fast, and I got a bunch of messages 749 00:35:45,200 --> 00:35:51,000 Speaker 1: from people being like, h do you really stand by 750 00:35:51,160 --> 00:35:53,439 Speaker 1: the way you reacted to that, or do you think 751 00:35:53,480 --> 00:36:00,040 Speaker 1: that perhaps sensationalizing two black men fighting is not the 752 00:36:00,160 --> 00:36:01,160 Speaker 1: best way to spend your night. 753 00:36:01,200 --> 00:36:03,440 Speaker 3: And I was like, you know what, You're so fucking right. 754 00:36:03,760 --> 00:36:04,520 Speaker 3: Like it was to me. 755 00:36:04,640 --> 00:36:06,880 Speaker 1: I just saw them as like actors who were acting crazy. 756 00:36:07,280 --> 00:36:10,080 Speaker 1: And Tabitha Speaks, who was the creator who I first 757 00:36:10,120 --> 00:36:12,319 Speaker 1: saw the DM from, she was like, girl, stay out 758 00:36:12,320 --> 00:36:13,320 Speaker 1: of black people's business. 759 00:36:13,360 --> 00:36:14,520 Speaker 3: And I was like, you know. 760 00:36:14,480 --> 00:36:19,279 Speaker 1: What, you are absolutely right, You're absolutely right right because 761 00:36:19,320 --> 00:36:21,560 Speaker 1: I'm seeing them as actors. But this speaks to such 762 00:36:21,600 --> 00:36:24,000 Speaker 1: a bigger problem that went on as we saw. I 763 00:36:24,040 --> 00:36:25,880 Speaker 1: took that video right down. It was a three million 764 00:36:25,960 --> 00:36:28,000 Speaker 1: views after like two hours. When I took it down 765 00:36:28,000 --> 00:36:29,560 Speaker 1: and people were like, are you gonna talk about Chris Rock, 766 00:36:29,600 --> 00:36:32,000 Speaker 1: I'm like no, So when you're told you know what 767 00:36:32,040 --> 00:36:34,719 Speaker 1: I mean, you got to kind of like, I think 768 00:36:34,760 --> 00:36:38,080 Speaker 1: this is why I appreciate so much about my theater education. 769 00:36:39,160 --> 00:36:41,680 Speaker 1: For years, For forty years, I've stood in front of 770 00:36:41,719 --> 00:36:43,959 Speaker 1: people who have been like, Eh, your freckles are weird. 771 00:36:44,080 --> 00:36:45,960 Speaker 1: You don't get the part. Ah, I don't like the 772 00:36:46,000 --> 00:36:47,759 Speaker 1: way you're standing, you don't get the part right. Like 773 00:36:47,800 --> 00:36:49,799 Speaker 1: I can take a lot of like very constructive and 774 00:36:49,880 --> 00:36:53,560 Speaker 1: even ridiculous criticism and just go okay and move on 775 00:36:53,640 --> 00:36:55,560 Speaker 1: to the next thing. I think you have to be 776 00:36:55,560 --> 00:36:57,279 Speaker 1: able to do that if you want to be a TikToker, 777 00:36:57,560 --> 00:36:59,600 Speaker 1: even if you have the best intentions and you think 778 00:36:59,640 --> 00:37:01,719 Speaker 1: you told the best story, or even if you think 779 00:37:01,760 --> 00:37:03,600 Speaker 1: something's not a big deal and you're just talking about 780 00:37:03,600 --> 00:37:06,080 Speaker 1: it because everybody else is talking about it. If somebody 781 00:37:06,160 --> 00:37:08,359 Speaker 1: from the community you're talking about says to you, yo 782 00:37:08,440 --> 00:37:10,640 Speaker 1: that I don't I don't think that was I think 783 00:37:10,640 --> 00:37:13,359 Speaker 1: you might want to relook at that one or even says, yo, 784 00:37:13,480 --> 00:37:16,000 Speaker 1: that was a big mess up anything, then you have 785 00:37:16,040 --> 00:37:19,000 Speaker 1: to immediately believe them and adjust from there. 786 00:37:19,000 --> 00:37:21,000 Speaker 3: And that's how you can kind of, like, you know. 787 00:37:21,120 --> 00:37:25,279 Speaker 1: Keep people's trust and continue to try to tell better 788 00:37:25,320 --> 00:37:27,919 Speaker 1: stories every day. But yeah, that was a good one. 789 00:37:28,040 --> 00:37:29,000 Speaker 2: That's a great example. 790 00:37:29,080 --> 00:37:30,759 Speaker 1: And there's nothing yeah to you, because I could have 791 00:37:30,800 --> 00:37:33,200 Speaker 1: been like, what do you mean everybody's talking about it? No, 792 00:37:33,719 --> 00:37:36,080 Speaker 1: you know what if you took the time to tell 793 00:37:36,120 --> 00:37:38,120 Speaker 1: me that what I did was going to stand, was 794 00:37:38,160 --> 00:37:42,040 Speaker 1: gonna not line up. Why, I'm so grateful to you, 795 00:37:42,040 --> 00:37:44,760 Speaker 1: thank you for catching me so early. And there's nothing 796 00:37:44,800 --> 00:37:48,400 Speaker 1: worse than somebody who has been kind of gently called 797 00:37:48,400 --> 00:37:51,560 Speaker 1: in but then is like, no, I'm gonna double down, 798 00:37:51,719 --> 00:37:54,400 Speaker 1: Like it's not me, it's wrong at y'all, Like, don't 799 00:37:54,440 --> 00:37:58,880 Speaker 1: ever double down, never double terrible, much better, it's so bad. 800 00:37:59,320 --> 00:38:01,320 Speaker 1: Just it's so much much easier to just put the 801 00:38:01,400 --> 00:38:03,560 Speaker 1: video on friends only while you figure it out or 802 00:38:03,719 --> 00:38:06,800 Speaker 1: whatever you want to do. Now, no issue, no video 803 00:38:06,960 --> 00:38:10,799 Speaker 1: is worth doubling down. It will because you double down, 804 00:38:11,760 --> 00:38:15,040 Speaker 1: three million people will triple down. Oh yeah, Like don't 805 00:38:15,040 --> 00:38:20,080 Speaker 1: do it right, Yeah. 806 00:38:19,239 --> 00:38:31,920 Speaker 4: More after a quick break, let's. 807 00:38:31,680 --> 00:38:32,560 Speaker 3: Get right back into it. 808 00:38:33,760 --> 00:38:35,920 Speaker 2: So v is part of a community building a different 809 00:38:36,000 --> 00:38:39,120 Speaker 2: kind of information ecosystem and they're doing it on TikTok. 810 00:38:39,680 --> 00:38:41,960 Speaker 2: But all of this is threatened by a potential ban 811 00:38:42,080 --> 00:38:45,880 Speaker 2: on TikTok. Back in March, when shows E Chou, the 812 00:38:45,960 --> 00:38:49,040 Speaker 2: CEO of TikTok, came before a Congressional hearing on the 813 00:38:49,080 --> 00:38:53,080 Speaker 2: Restrict Act, thee was there in their iconic black rimmed 814 00:38:53,120 --> 00:38:56,799 Speaker 2: glasses and suit and tie, sitting right behind him. 815 00:38:57,680 --> 00:39:01,800 Speaker 1: Anytime Congress is doing something that leaffully bipartisan, I'm always 816 00:39:01,840 --> 00:39:04,360 Speaker 1: like a little bit suspicious, you know, because it's not 817 00:39:04,480 --> 00:39:07,719 Speaker 1: often and it's never really good it. I was like, 818 00:39:08,000 --> 00:39:11,319 Speaker 1: they are gleefully bipartisan right now. So I felt really 819 00:39:11,360 --> 00:39:14,799 Speaker 1: nervous about that. And I think that they thought that 820 00:39:15,000 --> 00:39:17,760 Speaker 1: they could blame China, they could look tough on China, 821 00:39:17,840 --> 00:39:20,880 Speaker 1: that people would accept it. Understand the community that is 822 00:39:20,920 --> 00:39:24,240 Speaker 1: on this platform, that is so strong and again trauma 823 00:39:24,280 --> 00:39:26,640 Speaker 1: bonded because of the pandemic. 824 00:39:27,040 --> 00:39:28,280 Speaker 3: This platform is offered. 825 00:39:28,560 --> 00:39:31,520 Speaker 1: I think it's like five million small businesses the opportunity 826 00:39:31,560 --> 00:39:33,920 Speaker 1: to operate. So many people have achieved their dreams on 827 00:39:33,960 --> 00:39:36,640 Speaker 1: this platform. It wasn't gonna fly, It was not gonna 828 00:39:36,680 --> 00:39:39,520 Speaker 1: go well. And so when I was looking at how 829 00:39:39,520 --> 00:39:41,280 Speaker 1: they were going to do it, a flat out TikTok 830 00:39:41,360 --> 00:39:43,480 Speaker 1: ban would be bad for politics. So I was looking 831 00:39:43,520 --> 00:39:45,520 Speaker 1: at the people who were like ban TikTok well, US 832 00:39:45,520 --> 00:39:48,040 Speaker 1: obviously against the First Amendment, I can't do that and 833 00:39:48,080 --> 00:39:51,279 Speaker 1: the Fourteenth, So I was like, those won't pass. But 834 00:39:51,400 --> 00:39:55,959 Speaker 1: this restrict Act, I was like, oh, okay, eighty nine 835 00:39:56,000 --> 00:39:59,120 Speaker 1: pages of legislation. They really thought about this one. So 836 00:39:59,160 --> 00:40:00,840 Speaker 1: I printed it out, spend a couple of days like 837 00:40:00,880 --> 00:40:06,000 Speaker 1: reading it. And I remember the Patriot Act. People think 838 00:40:06,040 --> 00:40:08,440 Speaker 1: I'm a lot younger than I am. I'm forty years old. 839 00:40:08,560 --> 00:40:12,280 Speaker 1: And so I was in college when nine to eleven happened, 840 00:40:12,280 --> 00:40:15,160 Speaker 1: and I remember the Patriot Act and my dad, you know, 841 00:40:15,520 --> 00:40:18,360 Speaker 1: being very involved in like why this was all happening. 842 00:40:20,239 --> 00:40:24,120 Speaker 1: And that did not go well for US, allowing the 843 00:40:24,160 --> 00:40:28,319 Speaker 1: government basically unchecked ability to monitor telecom. 844 00:40:28,360 --> 00:40:31,640 Speaker 3: Because of terrorists, right, because of threats. 845 00:40:32,320 --> 00:40:34,640 Speaker 1: And so when I heard this coming, and I knew 846 00:40:34,680 --> 00:40:37,080 Speaker 1: that because I keep up on politics obviously because of 847 00:40:37,080 --> 00:40:40,040 Speaker 1: the Channel, I knew that the Patriot Act had kind 848 00:40:40,040 --> 00:40:42,560 Speaker 1: of expired, and I knew they were going to be 849 00:40:42,560 --> 00:40:46,120 Speaker 1: looking for another way to gain access to our information. 850 00:40:47,160 --> 00:40:49,280 Speaker 1: So I'm looking at it and it wasn't just TikTok, 851 00:40:49,360 --> 00:40:52,200 Speaker 1: and it didn't even line item TikTok. It said foreign 852 00:40:52,440 --> 00:40:57,800 Speaker 1: owned technology from these different places. It would include game chat, 853 00:40:58,040 --> 00:41:01,160 Speaker 1: it would include your TikTok communications. It could include ENCRYPTID 854 00:41:01,160 --> 00:41:05,360 Speaker 1: communications from apps like you know, WhatsApp or Telegram or 855 00:41:05,400 --> 00:41:08,399 Speaker 1: any of these other ones. And I was like, this 856 00:41:08,440 --> 00:41:11,319 Speaker 1: is the Patriot AC two point zero, And so that 857 00:41:11,520 --> 00:41:14,759 Speaker 1: was what I went to my Senator Kirsten Gillibrand with. 858 00:41:14,800 --> 00:41:16,400 Speaker 1: I was like, this reads like the Patriot AC two 859 00:41:16,440 --> 00:41:18,640 Speaker 1: point zero. And she was like if you her office 860 00:41:18,719 --> 00:41:21,160 Speaker 1: was like, if you knew what I knew about security 861 00:41:21,600 --> 00:41:25,120 Speaker 1: and you really loved your community, you wouldn't be fighting 862 00:41:25,120 --> 00:41:26,840 Speaker 1: so hard for TikTok. And I was like, then tell me, 863 00:41:26,920 --> 00:41:29,759 Speaker 1: because I'm the best communicator on TikTok, and if the 864 00:41:29,760 --> 00:41:33,080 Speaker 1: American public and especially my community, is in danger, then 865 00:41:33,160 --> 00:41:36,080 Speaker 1: you should tell me, because I will tell them because 866 00:41:36,200 --> 00:41:38,600 Speaker 1: I'm an American first and I'm a TikToker, like nineteenth 867 00:41:38,680 --> 00:41:40,440 Speaker 1: on my list of things that I am, and so 868 00:41:40,600 --> 00:41:43,719 Speaker 1: if I'm a part of like a national security threat, 869 00:41:43,800 --> 00:41:45,200 Speaker 1: I need to know that. I would love to know 870 00:41:45,239 --> 00:41:47,640 Speaker 1: that I would never do that, and they didn't have anything, 871 00:41:47,680 --> 00:41:49,040 Speaker 1: and I was like, because you don't have anything. And 872 00:41:49,040 --> 00:41:51,319 Speaker 1: then I went to AOC's office and she was like, 873 00:41:51,360 --> 00:41:54,000 Speaker 1: we've never been briefed. We've never had a national briefing 874 00:41:54,120 --> 00:41:57,640 Speaker 1: on a threat from TikTok And I was like, why 875 00:41:57,680 --> 00:41:59,800 Speaker 1: are they doing this? And she was like, Mark Warner, 876 00:42:00,600 --> 00:42:02,560 Speaker 1: you know, he's a tech guy. 877 00:42:03,440 --> 00:42:04,160 Speaker 3: Maybe he was. 878 00:42:05,440 --> 00:42:07,720 Speaker 1: This is like something that a lot of people want, 879 00:42:08,000 --> 00:42:10,080 Speaker 1: but it's not something that I think is well written. 880 00:42:10,160 --> 00:42:11,719 Speaker 1: She came out and made a TikTok about how she 881 00:42:11,760 --> 00:42:14,160 Speaker 1: thought it wasn't well written. And I just couldn't in 882 00:42:14,160 --> 00:42:16,440 Speaker 1: the amount of time that I spent in Congress with 883 00:42:16,600 --> 00:42:19,960 Speaker 1: people I had made tiktoks with, could not get like 884 00:42:20,000 --> 00:42:21,880 Speaker 1: a straight answer as to why this was happening and 885 00:42:21,880 --> 00:42:25,200 Speaker 1: why the restrict Act was so necessary. Mark Warner himself 886 00:42:25,200 --> 00:42:28,680 Speaker 1: couldn't explain his own legislation well. And so the TikTok 887 00:42:28,719 --> 00:42:30,920 Speaker 1: hearing came, I knew that I wanted to sit behind 888 00:42:30,960 --> 00:42:33,960 Speaker 1: show too, because I wanted there was like nine of 889 00:42:33,960 --> 00:42:36,880 Speaker 1: those people on that committee that have made tiktoks with me. 890 00:42:37,239 --> 00:42:39,120 Speaker 1: I wanted them to have to look at him and 891 00:42:39,239 --> 00:42:42,840 Speaker 1: look at me. As a comically recognizable part of TikTok. 892 00:42:43,560 --> 00:42:45,920 Speaker 1: You are not just talking to him, You are talking 893 00:42:45,920 --> 00:42:49,040 Speaker 1: to a whole community of people. A lot of marginalized 894 00:42:49,080 --> 00:42:51,359 Speaker 1: people have built their platform on TikTok that couldn't get 895 00:42:51,400 --> 00:42:54,400 Speaker 1: that traction anywhere else. You need to see the big 896 00:42:54,440 --> 00:42:57,160 Speaker 1: picture here and either be more honest with the American 897 00:42:57,160 --> 00:42:59,000 Speaker 1: people about what a threat it is and why and 898 00:42:59,000 --> 00:43:01,880 Speaker 1: how you're going to fix it, provide actual data privacy 899 00:43:01,960 --> 00:43:03,680 Speaker 1: legislation that we're all asking. 900 00:43:03,360 --> 00:43:06,280 Speaker 3: For, or knock it off. 901 00:43:06,920 --> 00:43:10,000 Speaker 1: And as you could see after the hearing and after 902 00:43:10,239 --> 00:43:13,160 Speaker 1: the entire Internet started calling their restrict Act Patriot C 903 00:43:13,200 --> 00:43:16,799 Speaker 1: two point zero, they have since dropped that for now. 904 00:43:17,200 --> 00:43:21,120 Speaker 2: Yeah, it kind of really came on quick, and then 905 00:43:21,120 --> 00:43:23,240 Speaker 2: it was like, oh, never mind, just kiduse. 906 00:43:23,440 --> 00:43:26,040 Speaker 3: Nobody wanted to touch it after the hearing. 907 00:43:26,360 --> 00:43:29,640 Speaker 2: That image of you with the hearing so front and center. 908 00:43:29,760 --> 00:43:31,440 Speaker 2: I mean, that is like, I think that'll be in 909 00:43:31,840 --> 00:43:35,000 Speaker 2: history books when people are studying media and tech in 910 00:43:35,120 --> 00:43:38,000 Speaker 2: twenty years or whatever. Like that was a real moment. 911 00:43:38,040 --> 00:43:41,120 Speaker 2: And I think, you know, you talk about marginalized communities, 912 00:43:41,440 --> 00:43:44,440 Speaker 2: so many communities who have been traditionally left out of 913 00:43:44,480 --> 00:43:47,720 Speaker 2: conversations have been able to build up platforms and voices 914 00:43:47,800 --> 00:43:50,560 Speaker 2: on social media platforms like TikTok, And so if we 915 00:43:50,719 --> 00:43:52,759 Speaker 2: just say na ah, y'all don't get to do that, 916 00:43:53,200 --> 00:43:56,480 Speaker 2: I really worry for the ways that those communities will 917 00:43:56,520 --> 00:43:59,000 Speaker 2: be able to have voices. There have been so many 918 00:43:59,040 --> 00:44:01,600 Speaker 2: stories that I would have never heard about if not 919 00:44:01,640 --> 00:44:04,560 Speaker 2: for TikTok that were happening in completely different you know, 920 00:44:04,640 --> 00:44:06,919 Speaker 2: sub sections of the Internet or different communities that I'm 921 00:44:06,920 --> 00:44:10,400 Speaker 2: just not in. And so I really genuinely worried for 922 00:44:11,040 --> 00:44:14,319 Speaker 2: how we would be able to get news and make 923 00:44:14,400 --> 00:44:16,719 Speaker 2: news stories happen and make people care about what's going 924 00:44:16,760 --> 00:44:19,040 Speaker 2: on if not for platforms like TikTok. I thought it 925 00:44:19,080 --> 00:44:21,719 Speaker 2: was a real blow to those communities. 926 00:44:22,600 --> 00:44:24,640 Speaker 1: And when we think about communities, we're thinking about and 927 00:44:24,640 --> 00:44:26,680 Speaker 1: we say marginalized, we think about black and brown people, 928 00:44:26,680 --> 00:44:31,080 Speaker 1: gay people, no, all kinds of smaller communities. We wouldn't 929 00:44:31,080 --> 00:44:33,320 Speaker 1: have had the frontline access to the war in Ukraine 930 00:44:33,320 --> 00:44:35,640 Speaker 1: if we didn't have TikTok. We wouldn't have had frontline 931 00:44:35,719 --> 00:44:38,760 Speaker 1: access to the women a Life freedom movement in Iran. 932 00:44:38,800 --> 00:44:41,279 Speaker 1: If it wasn't for TikTok and all of the Iranians 933 00:44:41,440 --> 00:44:44,239 Speaker 1: here that we're speaking for the folks back home who 934 00:44:44,280 --> 00:44:45,240 Speaker 1: have been so censored. 935 00:44:46,200 --> 00:44:46,960 Speaker 3: We wouldn't have a. 936 00:44:46,960 --> 00:44:51,080 Speaker 1: Million different stories. The Tennessee three, the George Floyd stuff 937 00:44:51,719 --> 00:44:54,560 Speaker 1: came from a citizen journalist with cell phone video. It 938 00:44:54,640 --> 00:44:57,920 Speaker 1: wasn't on TikTok, but TikTok was sort of starting shortly 939 00:44:57,920 --> 00:44:59,880 Speaker 1: after that and has continued this movement towards you. 940 00:45:01,200 --> 00:45:02,200 Speaker 3: It's not just. 941 00:45:03,640 --> 00:45:06,759 Speaker 1: Marginalized communities the way we traditionally think of them. It's 942 00:45:06,760 --> 00:45:10,600 Speaker 1: communities that don't get leading press. And I think if 943 00:45:10,600 --> 00:45:12,720 Speaker 1: we've done one thing on TikTok over the last three years, 944 00:45:12,760 --> 00:45:16,920 Speaker 1: it's really get people educated on media literacy, on civic literacy, 945 00:45:17,000 --> 00:45:19,399 Speaker 1: on political activism and how to get involved and hold 946 00:45:19,400 --> 00:45:22,759 Speaker 1: people accountable, and see that TikTok is the place that 947 00:45:22,760 --> 00:45:25,520 Speaker 1: people can be held accountable. And I think it holds 948 00:45:25,560 --> 00:45:28,240 Speaker 1: a higher trust factor for a lot of folks because 949 00:45:28,239 --> 00:45:31,000 Speaker 1: it's not owned by Jeff Bezos or Mark Zuckerberg. So 950 00:45:31,080 --> 00:45:35,080 Speaker 1: their whole thing that this like very charming, adorable Singaporean 951 00:45:35,120 --> 00:45:38,120 Speaker 1: man is the CEO who's young, right and really knew 952 00:45:38,120 --> 00:45:39,960 Speaker 1: what he was talking about with some sort of villain. 953 00:45:40,160 --> 00:45:43,719 Speaker 1: They were like, have you who which this was my 954 00:45:43,840 --> 00:45:46,800 Speaker 1: question to them about restrict dec So you say restrict 955 00:45:46,840 --> 00:45:49,239 Speaker 1: act or they have to sell it? Sell it to? 956 00:45:49,239 --> 00:45:51,680 Speaker 1: Who sell it to? 957 00:45:51,719 --> 00:45:51,919 Speaker 3: Who? 958 00:45:51,960 --> 00:45:54,440 Speaker 1: Finish the sentence? Sell it to who? Which one of 959 00:45:54,480 --> 00:45:56,319 Speaker 1: the white boy billionaires gets to buy it? 960 00:45:56,400 --> 00:45:56,640 Speaker 3: Right? 961 00:45:56,880 --> 00:45:59,360 Speaker 1: Is it Elon Musk? Is it Zuckerberg? Who's got the 962 00:45:59,400 --> 00:46:00,360 Speaker 1: money to even by it? 963 00:46:00,440 --> 00:46:00,680 Speaker 2: Right? 964 00:46:00,840 --> 00:46:03,320 Speaker 3: Is it Bill Gates? Like? Who sell it to? Who? 965 00:46:03,440 --> 00:46:05,440 Speaker 1: So that the American publican have a big picture, and 966 00:46:05,520 --> 00:46:08,479 Speaker 1: you should also be thinking through what does that mean 967 00:46:09,120 --> 00:46:12,840 Speaker 1: the two communities that I had like in my back pocket. 968 00:46:13,080 --> 00:46:16,360 Speaker 1: As if this continues to go forward, we need to 969 00:46:16,480 --> 00:46:22,359 Speaker 1: like activate other marginalized communities. Religion, which we don't think 970 00:46:22,400 --> 00:46:24,759 Speaker 1: of them as marginalized because they're still very loud, but 971 00:46:25,320 --> 00:46:28,880 Speaker 1: there are so many religious affiliations that are not Christian 972 00:46:28,960 --> 00:46:32,440 Speaker 1: that are very thrive on TikTok. Christians thrive on TikTok 973 00:46:32,440 --> 00:46:34,920 Speaker 1: as well. And the military communities. A lot of the 974 00:46:34,960 --> 00:46:37,919 Speaker 1: military communities were saying that through TikTok they can see 975 00:46:37,920 --> 00:46:41,160 Speaker 1: their member who is deployed or who is otherwise engaged, 976 00:46:41,920 --> 00:46:44,160 Speaker 1: way more than they were allowed to before when they 977 00:46:44,160 --> 00:46:46,480 Speaker 1: only got certain number of phone calls through social media. 978 00:46:46,520 --> 00:46:49,719 Speaker 1: In general, they are staying families are staying connected, and 979 00:46:49,840 --> 00:46:53,560 Speaker 1: through social media, religions are building online ministries that would 980 00:46:53,560 --> 00:46:56,680 Speaker 1: not otherwise exist. You're a gay kid in northeast or 981 00:46:56,719 --> 00:47:01,520 Speaker 1: northwest Arkansas and you find a universalist church on TikTok 982 00:47:01,680 --> 00:47:04,560 Speaker 1: like that's like the one led by Pastor Sarah. You're 983 00:47:04,560 --> 00:47:06,439 Speaker 1: going to find a place of inclusion in a path 984 00:47:06,480 --> 00:47:08,839 Speaker 1: to Jesus that you don't have in your little town. 985 00:47:09,360 --> 00:47:11,000 Speaker 3: And so we. 986 00:47:10,960 --> 00:47:13,520 Speaker 1: Can't give that up either. And these are the things 987 00:47:13,560 --> 00:47:17,840 Speaker 1: that I wish. I don't even think Congress was dumb 988 00:47:18,000 --> 00:47:19,239 Speaker 1: when they did this. They were like, well, do you 989 00:47:19,239 --> 00:47:21,640 Speaker 1: think the Biden administration is stupid? When they back to this, 990 00:47:21,680 --> 00:47:22,040 Speaker 1: I'm like. 991 00:47:22,000 --> 00:47:22,400 Speaker 3: I don't. 992 00:47:22,800 --> 00:47:25,440 Speaker 1: I think that they were ill advised and uneducated on 993 00:47:25,480 --> 00:47:28,800 Speaker 1: the communities. And that's the importance of diversifying your staff, 994 00:47:28,840 --> 00:47:31,800 Speaker 1: because if you had called me even one time, I 995 00:47:31,800 --> 00:47:33,520 Speaker 1: would have been able to be like, yo, you're gonna 996 00:47:33,520 --> 00:47:35,960 Speaker 1: get hit with all of this stuff from the communities 997 00:47:36,000 --> 00:47:38,120 Speaker 1: who are going to be like, you can't shut me down. 998 00:47:38,640 --> 00:47:42,040 Speaker 1: This is providing you know, life saving resources to some folks. 999 00:47:42,640 --> 00:47:45,359 Speaker 2: Yeah, And it's not like I mean, like you've worked 1000 00:47:45,360 --> 00:47:47,719 Speaker 2: with the White House before. It's not like they don't 1001 00:47:47,719 --> 00:47:49,839 Speaker 2: have your number, they know how to reach you. 1002 00:47:50,480 --> 00:47:52,600 Speaker 1: I was like, y'all called me to make tiktoks during 1003 00:47:52,600 --> 00:47:53,680 Speaker 1: the election season. 1004 00:47:53,920 --> 00:47:58,600 Speaker 2: Like one of my last questions the question I asked 1005 00:47:58,600 --> 00:48:01,120 Speaker 2: all of my fuel I interview, like when you think 1006 00:48:01,160 --> 00:48:03,719 Speaker 2: of the future of news media, Like, what do you 1007 00:48:03,719 --> 00:48:05,880 Speaker 2: think is the future of news media as it pertains 1008 00:48:05,880 --> 00:48:08,200 Speaker 2: to platforms like TikTok? And are you hopeful? 1009 00:48:09,520 --> 00:48:10,400 Speaker 3: I'm very hopeful. 1010 00:48:10,440 --> 00:48:12,720 Speaker 1: And I actually think my grandma used to say scripts 1011 00:48:12,760 --> 00:48:15,160 Speaker 1: can only get so short before the maxi dress is 1012 00:48:15,200 --> 00:48:18,719 Speaker 1: back in fashion. And I think that's what we're seeing now. 1013 00:48:18,840 --> 00:48:21,400 Speaker 1: You know, some people might say the pendulum swings or something. 1014 00:48:21,800 --> 00:48:22,479 Speaker 3: I think what we. 1015 00:48:22,440 --> 00:48:25,000 Speaker 1: Saw is like over the last decade or so, news 1016 00:48:25,000 --> 00:48:28,320 Speaker 1: has become the twenty four hour news cycle, the divisiveness, 1017 00:48:28,360 --> 00:48:33,080 Speaker 1: the outrage farming, the personalities on cable news television, the 1018 00:48:33,320 --> 00:48:37,399 Speaker 1: conglomerations of newspapers getting all bought up by by these 1019 00:48:37,400 --> 00:48:40,480 Speaker 1: big companies and billionaires. And I think what we're seeing 1020 00:48:40,560 --> 00:48:45,240 Speaker 1: is a return to citizen journalism, to neighbors sharing stories, 1021 00:48:45,280 --> 00:48:49,239 Speaker 1: to local journalism. And I think what we have in 1022 00:48:49,320 --> 00:48:52,600 Speaker 1: store for a fight is not necessarily fighting these big 1023 00:48:52,680 --> 00:48:56,239 Speaker 1: narratives so much as finding the resources to bring back 1024 00:48:56,320 --> 00:48:59,640 Speaker 1: local journalism, small newsletters. We're seeing a lot of success 1025 00:48:59,640 --> 00:49:02,200 Speaker 1: with you lists having sub stacks in different places where 1026 00:49:02,200 --> 00:49:05,759 Speaker 1: you can follow somebody independent of the big newspapers and 1027 00:49:05,760 --> 00:49:08,720 Speaker 1: big media companies, because we value that and we trust 1028 00:49:08,719 --> 00:49:10,680 Speaker 1: those people. So I think what we're going to see 1029 00:49:10,680 --> 00:49:12,799 Speaker 1: in the next ten years is a lot more of 1030 00:49:12,840 --> 00:49:16,279 Speaker 1: a breakup of the power that these big organizations have. 1031 00:49:16,719 --> 00:49:20,520 Speaker 1: And unfortunately we are already seeing it in the layoffs 1032 00:49:20,520 --> 00:49:24,680 Speaker 1: at BuzzFeed or MTV shuttering MTV News or NPR even 1033 00:49:25,120 --> 00:49:28,359 Speaker 1: or Vice. And I think that's horrible, and I think 1034 00:49:28,360 --> 00:49:30,640 Speaker 1: that those are mortal wounds that really hurt us and 1035 00:49:30,719 --> 00:49:34,399 Speaker 1: hurt storytelling and hurt the dream of journalism. But what 1036 00:49:34,400 --> 00:49:38,040 Speaker 1: we're picking up is this independent journalist having a lot 1037 00:49:38,080 --> 00:49:42,000 Speaker 1: more power, and with that power of independence gives you 1038 00:49:42,040 --> 00:49:44,839 Speaker 1: a lot more ability to tell a better truth. And 1039 00:49:44,880 --> 00:49:47,359 Speaker 1: so I think that that's really interesting and I think 1040 00:49:47,360 --> 00:49:49,759 Speaker 1: that's where we're going. But I think finding the resources 1041 00:49:49,760 --> 00:49:53,200 Speaker 1: to support that many people is going to be the 1042 00:49:53,200 --> 00:49:54,560 Speaker 1: fight that we're actually in for. 1043 00:49:55,480 --> 00:49:57,160 Speaker 2: Are you ready and geared up for that fight? 1044 00:49:58,080 --> 00:50:00,480 Speaker 3: I am? I am ready in gear up. 1045 00:50:01,080 --> 00:50:05,040 Speaker 1: I also think that it's important for people to change 1046 00:50:05,080 --> 00:50:06,520 Speaker 1: their version of success. 1047 00:50:06,640 --> 00:50:08,840 Speaker 3: I used to talk about this with the chefs. 1048 00:50:09,440 --> 00:50:12,840 Speaker 1: I do not have a dream of being like the 1049 00:50:12,960 --> 00:50:15,399 Speaker 1: nightly news anchor on NBCA. I don't have a dream 1050 00:50:15,400 --> 00:50:17,600 Speaker 1: of being Lester Whole. I have a dream of being me, 1051 00:50:18,080 --> 00:50:21,440 Speaker 1: and being me requires a lot less resources, right than 1052 00:50:21,480 --> 00:50:24,960 Speaker 1: being a big, huge media news star. Think about that 1053 00:50:25,040 --> 00:50:27,640 Speaker 1: for yourself too. What do you need to be successful 1054 00:50:27,680 --> 00:50:30,279 Speaker 1: to have your niche really heard? How would you support that? 1055 00:50:30,320 --> 00:50:32,440 Speaker 1: What does that look like? Because that might look like 1056 00:50:32,440 --> 00:50:35,160 Speaker 1: two hundred thousand dollars as opposed to millions of dollars 1057 00:50:35,400 --> 00:50:38,600 Speaker 1: that might look like having ten thousand really dedicated followers. 1058 00:50:38,640 --> 00:50:40,960 Speaker 1: Were so down for the stuff you talk about as 1059 00:50:41,000 --> 00:50:44,480 Speaker 1: opposed to ten million nightly viewers for a big cable channel. 1060 00:50:44,760 --> 00:50:46,400 Speaker 1: And I think we're going to see that rise of 1061 00:50:46,480 --> 00:50:49,799 Speaker 1: the of the micro influencer, of the local newscaster. And 1062 00:50:49,880 --> 00:50:53,319 Speaker 1: I hope that people can find success and peace and 1063 00:50:53,960 --> 00:50:59,200 Speaker 1: space in just getting that successful and not having to maximalize, right. 1064 00:50:59,080 --> 00:51:00,720 Speaker 3: Not like oh million followers. 1065 00:51:00,719 --> 00:51:01,960 Speaker 1: So the next thing for me is to try and 1066 00:51:02,000 --> 00:51:04,719 Speaker 1: sell my show it to a CBS like no, no, No, 1067 00:51:05,520 --> 00:51:09,160 Speaker 1: keep your show and keep yourself, you know, right here 1068 00:51:09,160 --> 00:51:11,560 Speaker 1: where you can be successful and give yourself space to 1069 00:51:11,600 --> 00:51:12,480 Speaker 1: Breathe also. 1070 00:51:17,040 --> 00:51:19,080 Speaker 2: Got a story about an interesting thing in tech, or 1071 00:51:19,160 --> 00:51:21,000 Speaker 2: just want to say hi? You can read us at 1072 00:51:21,040 --> 00:51:23,760 Speaker 2: Hello at tangodi dot com. You can also find transcripts 1073 00:51:23,760 --> 00:51:26,200 Speaker 2: for today's episode at tengody dot com. There Are No 1074 00:51:26,280 --> 00:51:28,359 Speaker 2: Girls on the Internet was created by me Bridget Todd. 1075 00:51:28,719 --> 00:51:32,160 Speaker 2: It's a production of iHeartRadio and Unbossed creative Jonathan Strickland 1076 00:51:32,160 --> 00:51:34,920 Speaker 2: as our executive producer. Tari Harrison is our producer and 1077 00:51:34,960 --> 00:51:38,760 Speaker 2: sound engineer. Michael Almado is our contributing producer. I'm your host, 1078 00:51:38,760 --> 00:51:41,520 Speaker 2: Bridget Todd. If you want to help us grow, rate 1079 00:51:41,600 --> 00:51:42,239 Speaker 2: and review. 1080 00:51:42,000 --> 00:51:43,000 Speaker 4: Us on Apple Podcasts. 1081 00:51:43,800 --> 00:51:46,640 Speaker 2: For more podcasts from iHeartRadio, check out the iHeartRadio app, 1082 00:51:46,680 --> 00:52:00,799 Speaker 2: Apple Podcasts, or wherever you get your podcasts.