1 00:00:03,400 --> 00:00:06,440 Speaker 1: You're listening to Disinformed, a mini series from There Are 2 00:00:06,440 --> 00:00:13,560 Speaker 1: No Girls on the Internet. I'm Bridget Todd. What a 3 00:00:13,680 --> 00:00:16,120 Speaker 1: ride it has ben y'all, And as we wrap up 4 00:00:16,160 --> 00:00:17,959 Speaker 1: this season if there Are No Girls on the Internet, 5 00:00:18,160 --> 00:00:19,760 Speaker 1: I wanted to take a look back of where we've 6 00:00:19,800 --> 00:00:23,120 Speaker 1: been and where we're going. I started making this series 7 00:00:23,160 --> 00:00:27,000 Speaker 1: about disinformation and conspiracy theories online right after the insurrection 8 00:00:27,040 --> 00:00:29,520 Speaker 1: on January six. I live in d C, so that 9 00:00:29,560 --> 00:00:31,640 Speaker 1: happened just a mile or so from my apartment, so 10 00:00:31,680 --> 00:00:34,360 Speaker 1: it really felt like an attack on my home and 11 00:00:34,720 --> 00:00:38,600 Speaker 1: I felt like I couldn't not respond. But from breaking 12 00:00:38,600 --> 00:00:42,600 Speaker 1: down TikTok sex trafficking conspiracy theories to calling out Gwyneth 13 00:00:42,600 --> 00:00:46,320 Speaker 1: Paltrow for pushing misinformation to women, I could never have 14 00:00:46,400 --> 00:00:49,800 Speaker 1: imagined all the places this conversation would take us. I 15 00:00:49,840 --> 00:00:51,760 Speaker 1: sat down with my producer Mike to try to put 16 00:00:51,760 --> 00:00:55,920 Speaker 1: it all together. Well, hey, Bridget, thanks for joining me 17 00:00:55,960 --> 00:00:59,640 Speaker 1: here for this wrap up episode of season two of 18 00:00:59,680 --> 00:01:03,920 Speaker 1: their No Girls on the Internet Disinformed. How how are 19 00:01:03,960 --> 00:01:09,240 Speaker 1: you feeling about the successful completion of season two. I'm 20 00:01:09,240 --> 00:01:12,640 Speaker 1: feeling good. Uh. It's been a fun season. I feel 21 00:01:12,640 --> 00:01:15,600 Speaker 1: like we've dove in Gove dived. I feel like we've 22 00:01:15,640 --> 00:01:19,040 Speaker 1: gotten into so many different topics. Uh, it's almost kind 23 00:01:19,080 --> 00:01:21,960 Speaker 1: of hard to wrap up because I feel like when 24 00:01:22,000 --> 00:01:24,480 Speaker 1: we started the season, I had no idea where the 25 00:01:24,480 --> 00:01:27,200 Speaker 1: topic was going to take us, and um, when we 26 00:01:27,200 --> 00:01:29,400 Speaker 1: first started back in January to where we ended up 27 00:01:29,400 --> 00:01:31,480 Speaker 1: in the end of the season, I could never never 28 00:01:31,560 --> 00:01:33,880 Speaker 1: predicted where we would go. M But I guess that's 29 00:01:33,880 --> 00:01:35,720 Speaker 1: the Internet for you. You don't know you know the 30 00:01:35,760 --> 00:01:38,960 Speaker 1: story that you're telling until you tell it. Yeah, the 31 00:01:39,000 --> 00:01:43,520 Speaker 1: Internet and disinformation, which is just people making up new 32 00:01:43,560 --> 00:01:46,720 Speaker 1: stuff all the time. What has been your favorite topic 33 00:01:46,840 --> 00:01:50,400 Speaker 1: that you covered in this season? So hard to choose. 34 00:01:50,920 --> 00:01:53,000 Speaker 1: A couple of episodes that sort of spoke to the 35 00:01:53,040 --> 00:01:57,040 Speaker 1: same theme. UM one with the former Pinterest employee of 36 00:01:57,120 --> 00:02:00,440 Speaker 1: Foma Zoma who if you didn't listen, I haven't heard 37 00:02:00,480 --> 00:02:03,840 Speaker 1: that episode. She essentially was an early hire on pinterest 38 00:02:03,920 --> 00:02:08,400 Speaker 1: public policy team. Very early on she got the company 39 00:02:08,400 --> 00:02:12,240 Speaker 1: to ban medical misinformation. This was before COVID, So for me, 40 00:02:12,280 --> 00:02:14,919 Speaker 1: it was like a very classic you know, black women 41 00:02:14,960 --> 00:02:16,840 Speaker 1: tried to tell you if all you would listen kind 42 00:02:16,840 --> 00:02:21,440 Speaker 1: of moment. But finding out that she was docked and 43 00:02:21,560 --> 00:02:24,960 Speaker 1: like harassed and abused by her own co workers, essentially 44 00:02:25,040 --> 00:02:27,640 Speaker 1: doing her job. I think that if I had to 45 00:02:27,680 --> 00:02:30,720 Speaker 1: sum up some of the episodes along a theme, that 46 00:02:30,800 --> 00:02:36,960 Speaker 1: theme would be marginalized people, namely black women, fighting tooth 47 00:02:37,000 --> 00:02:40,400 Speaker 1: and nail to make Internet spaces safer and better for 48 00:02:40,480 --> 00:02:42,720 Speaker 1: everybody right now just for other black women or other 49 00:02:42,760 --> 00:02:47,720 Speaker 1: marginalized people. Everybody benefits, but really fac seeing a material 50 00:02:47,880 --> 00:02:50,360 Speaker 1: cost for doing that work and sort of having that 51 00:02:50,360 --> 00:02:54,320 Speaker 1: work sort of be kind of costly for us or personally, 52 00:02:54,800 --> 00:02:57,760 Speaker 1: you know, costly for us. Another example on that same 53 00:02:57,800 --> 00:03:00,600 Speaker 1: line would be Sharine mitchell Um. We their an episode 54 00:03:00,600 --> 00:03:04,880 Speaker 1: with her about early on about sort of why we 55 00:03:04,919 --> 00:03:07,840 Speaker 1: should have been listening why disinformation is really a story 56 00:03:07,880 --> 00:03:10,360 Speaker 1: about not listening to black women and the consequences for that. 57 00:03:10,880 --> 00:03:12,720 Speaker 1: And so I think the theme for me really was 58 00:03:12,800 --> 00:03:17,440 Speaker 1: like black women, queer folks, transpolkes, other marginalized folks, like 59 00:03:17,520 --> 00:03:19,120 Speaker 1: we are the ones who are who they doing so 60 00:03:19,200 --> 00:03:20,800 Speaker 1: much of the work of trying to make the Internet 61 00:03:21,000 --> 00:03:24,040 Speaker 1: that is better for us but for everybody. But that 62 00:03:24,080 --> 00:03:29,200 Speaker 1: work is costly, It is dangerous, it is exhausting, and 63 00:03:29,240 --> 00:03:33,120 Speaker 1: it is you know, oftentimes like not rewarded, or if 64 00:03:33,120 --> 00:03:35,720 Speaker 1: it is rewarded, it's sort of rewarded in this kind 65 00:03:35,720 --> 00:03:37,960 Speaker 1: of shallow way where it's like, oh, listen to black women, 66 00:03:38,040 --> 00:03:43,000 Speaker 1: trust black women that we're that's just sort of a platitude. Yeah, 67 00:03:43,080 --> 00:03:45,360 Speaker 1: that's a great segue to my next question I wanted 68 00:03:45,400 --> 00:03:49,200 Speaker 1: to ask, which is that in season one of Tango 69 00:03:49,280 --> 00:03:52,360 Speaker 1: to You talked a lot about a racer as a concept, 70 00:03:52,560 --> 00:03:54,920 Speaker 1: and I wanted to ask, you know, how did a 71 00:03:55,000 --> 00:03:59,920 Speaker 1: racer show up in Disinformed? That's a great question. I mean, 72 00:04:00,040 --> 00:04:02,280 Speaker 1: erasure is like one of the reasons why I wanted 73 00:04:02,320 --> 00:04:05,880 Speaker 1: to to talk about disinformation in the first place. You know, I, 74 00:04:06,360 --> 00:04:10,160 Speaker 1: in my other life have worked in the disinformation space 75 00:04:10,200 --> 00:04:13,880 Speaker 1: professionally with the organization Ultra Violet, the gender justice organization 76 00:04:13,920 --> 00:04:18,400 Speaker 1: that I worked for. But on January six, after the insurrection, 77 00:04:18,480 --> 00:04:20,360 Speaker 1: it was like I woke up one day and everybody 78 00:04:20,400 --> 00:04:24,320 Speaker 1: was talking about disinformation, and I felt like people like myself, 79 00:04:24,600 --> 00:04:26,880 Speaker 1: who had really been talking about this since before, it 80 00:04:26,960 --> 00:04:29,640 Speaker 1: was like a sexy issue. I think the insurrection really 81 00:04:29,640 --> 00:04:32,440 Speaker 1: made it an issue that like everybody was talking about 82 00:04:33,080 --> 00:04:34,520 Speaker 1: after the fact, right, and so it was like I 83 00:04:34,920 --> 00:04:37,480 Speaker 1: truly feel like I went to bed one day and 84 00:04:37,560 --> 00:04:40,040 Speaker 1: I worked on this issue that was like not very 85 00:04:40,080 --> 00:04:42,520 Speaker 1: sexy and that people didn't really care about. And I 86 00:04:42,560 --> 00:04:45,080 Speaker 1: woke up the next day and everybody was talking about it, 87 00:04:45,120 --> 00:04:48,240 Speaker 1: And overnight a lot of like white men who worked 88 00:04:48,279 --> 00:04:51,080 Speaker 1: at tech companies were all of a sudden just calling 89 00:04:51,080 --> 00:04:56,880 Speaker 1: themselves different disinformation experts. And that erasure really stung, you know, 90 00:04:57,000 --> 00:04:59,159 Speaker 1: as someone who has been working in this space for 91 00:04:59,200 --> 00:05:01,839 Speaker 1: a long time, it the stung. Uh. It's stung to 92 00:05:01,920 --> 00:05:05,919 Speaker 1: see panels organized about disinformation that didn't have any people 93 00:05:05,920 --> 00:05:09,280 Speaker 1: of color or women on them, having that experience not 94 00:05:09,360 --> 00:05:12,200 Speaker 1: at all match my lived experience of going to meetings 95 00:05:12,560 --> 00:05:16,359 Speaker 1: with companies like Facebook or TikTok or Twitter, and where 96 00:05:16,400 --> 00:05:17,960 Speaker 1: we are on the side of people trying to like 97 00:05:17,960 --> 00:05:20,320 Speaker 1: hold them accountable or make the platform safer and better, 98 00:05:20,600 --> 00:05:23,479 Speaker 1: and knowing how the people when I look around those 99 00:05:23,520 --> 00:05:27,520 Speaker 1: meetings are always women, always people of color. Having having 100 00:05:27,560 --> 00:05:31,440 Speaker 1: the reality not match my lived experience was a real 101 00:05:31,480 --> 00:05:33,679 Speaker 1: feeling of a racer for me. So that was really 102 00:05:33,720 --> 00:05:37,360 Speaker 1: something that drove the work in general. Yeah, I can 103 00:05:37,400 --> 00:05:40,880 Speaker 1: imagine that that would sting and be frustrating, but it's 104 00:05:40,880 --> 00:05:45,159 Speaker 1: not just an issue of injustice, Like those panels that 105 00:05:45,240 --> 00:05:52,919 Speaker 1: don't feature black activists, women, people of color are missing 106 00:05:53,120 --> 00:05:56,280 Speaker 1: the whole point of disinformation, right, Like, it's not just 107 00:05:56,360 --> 00:05:58,920 Speaker 1: that they are excluding people who should be there, it's 108 00:05:58,960 --> 00:06:03,400 Speaker 1: that they are not talking about the real issues that 109 00:06:03,520 --> 00:06:06,120 Speaker 1: are at the heart of disinformation. Well, if you're not 110 00:06:06,160 --> 00:06:10,080 Speaker 1: talking about race, identity, gender, if those things are not 111 00:06:10,160 --> 00:06:13,640 Speaker 1: part of your perspective when you talk about disinformation, but 112 00:06:13,760 --> 00:06:16,600 Speaker 1: also any experience on the Internet, you're not actually telling 113 00:06:16,640 --> 00:06:19,279 Speaker 1: the full story. A great example is this documentary. You know, 114 00:06:19,320 --> 00:06:21,919 Speaker 1: I love documentaries. A good example is this documentary I 115 00:06:21,920 --> 00:06:25,920 Speaker 1: watched recently an HBO called Fake Famous, which I truly enjoyed, 116 00:06:26,000 --> 00:06:28,839 Speaker 1: Like I really really enjoyed it. Um. It's all about 117 00:06:28,839 --> 00:06:31,280 Speaker 1: this idea that on the Internet nothing is really as 118 00:06:31,279 --> 00:06:33,800 Speaker 1: it seems, and that you could essentially buy your way 119 00:06:33,839 --> 00:06:35,960 Speaker 1: into being an influencer if you had money to buy 120 00:06:36,000 --> 00:06:38,200 Speaker 1: fake followers and things of that nature. One of the 121 00:06:38,200 --> 00:06:40,640 Speaker 1: things that they dive into is this idea of what 122 00:06:40,760 --> 00:06:44,000 Speaker 1: it comes to fake followers or bots, that fake social 123 00:06:44,000 --> 00:06:48,120 Speaker 1: media accounts had a big impact on the election in 124 00:06:49,480 --> 00:06:52,880 Speaker 1: they never mentioned the fact that a Senate inquiry confirmed 125 00:06:53,040 --> 00:06:56,000 Speaker 1: that black folks were the biggest target, Right, So that 126 00:06:56,120 --> 00:06:58,359 Speaker 1: is that is a not only is it a election 127 00:06:58,400 --> 00:07:00,400 Speaker 1: integrity issue in a voting rights issue, it's also a 128 00:07:00,440 --> 00:07:03,000 Speaker 1: racial justice issue. And if you are not equipped to to, 129 00:07:03,920 --> 00:07:07,200 Speaker 1: you know, dissect these stories in the in ways that 130 00:07:07,480 --> 00:07:11,360 Speaker 1: demonstrate how race and gender and identity are really at 131 00:07:11,360 --> 00:07:13,600 Speaker 1: the center of them, and you're not telling the whole story. 132 00:07:13,600 --> 00:07:18,840 Speaker 1: And I guess I just saw the identity aspect of 133 00:07:18,920 --> 00:07:20,600 Speaker 1: the way that we talk about the Internet in general. 134 00:07:20,680 --> 00:07:23,920 Speaker 1: I just saw that being erased time and time again, 135 00:07:24,120 --> 00:07:26,200 Speaker 1: because frankly, a lot of these places don't have to 136 00:07:26,320 --> 00:07:28,920 Speaker 1: range right. Like not to say that I'm doing it right, 137 00:07:29,000 --> 00:07:31,680 Speaker 1: but if you are a team of all white people 138 00:07:32,160 --> 00:07:34,320 Speaker 1: telling a story about the Internet, and you believe the 139 00:07:34,360 --> 00:07:37,000 Speaker 1: Internet experience to be for white people, by white people, 140 00:07:37,160 --> 00:07:38,640 Speaker 1: of course you're not going to be able to really 141 00:07:38,640 --> 00:07:41,840 Speaker 1: speak to that to identity issues or you know, how 142 00:07:41,880 --> 00:07:43,840 Speaker 1: things can be race issues or gender issues, if it's 143 00:07:43,880 --> 00:07:47,320 Speaker 1: something that you're not poised yourself to grapple with. Yeah, 144 00:07:47,360 --> 00:07:51,400 Speaker 1: and it's a shame because those issues are central. Anything, 145 00:07:51,480 --> 00:07:53,680 Speaker 1: like you said, anything that doesn't include them and in 146 00:07:53,720 --> 00:07:57,920 Speaker 1: effect center them is just a superficial treatment of the problem. 147 00:07:58,040 --> 00:08:13,840 Speaker 1: Let's take a quick break looking back when we started 148 00:08:13,840 --> 00:08:16,920 Speaker 1: production on Disinformed at the end of last year. It's 149 00:08:16,920 --> 00:08:19,200 Speaker 1: almost funny to think that we were concerned people might 150 00:08:19,320 --> 00:08:22,920 Speaker 1: stop caring about disinformation after the election, and of course 151 00:08:22,920 --> 00:08:26,560 Speaker 1: I didn't happen. Instead, the January six insurrection happened, and 152 00:08:26,600 --> 00:08:30,160 Speaker 1: Republicans are now passing voter suppression laws based on Trump's 153 00:08:30,160 --> 00:08:32,320 Speaker 1: big lie and trying to convince us all that the 154 00:08:32,360 --> 00:08:35,600 Speaker 1: insurrection was just a well behaved groups of civics enthusiasts 155 00:08:35,600 --> 00:08:38,920 Speaker 1: touring the capital. What do you see as the emerging 156 00:08:38,960 --> 00:08:43,280 Speaker 1: disinformation threats that maybe aren't on our collective radar yet? 157 00:08:43,520 --> 00:08:46,520 Speaker 1: What a good question. I don't even know. First of all, 158 00:08:46,600 --> 00:08:50,680 Speaker 1: I love how you put this um a group of 159 00:08:50,720 --> 00:08:52,880 Speaker 1: civics enthusiasts. I think there's a lot of people very 160 00:08:52,920 --> 00:08:55,680 Speaker 1: invested in not being the narrative. I think when it 161 00:08:55,679 --> 00:09:00,160 Speaker 1: comes to disinformation, one thing I would say is there 162 00:09:00,240 --> 00:09:04,240 Speaker 1: is a great risk of not seeing some of the 163 00:09:04,360 --> 00:09:08,160 Speaker 1: laws that are being passed as deeply connected. You mentioned 164 00:09:08,200 --> 00:09:11,760 Speaker 1: the voter suppression laws that we're seeing in places like Georgia, Florida, 165 00:09:12,040 --> 00:09:15,120 Speaker 1: other states around the country that are rooted in a 166 00:09:15,200 --> 00:09:19,880 Speaker 1: complete fabrication, a fabrication that says that our elections are 167 00:09:19,880 --> 00:09:21,880 Speaker 1: not safe, and that then in the last election, there 168 00:09:21,960 --> 00:09:25,040 Speaker 1: was like nefarious behavior going on. That's not true. It's 169 00:09:25,080 --> 00:09:28,760 Speaker 1: it's just point blank not true. But the fact that 170 00:09:28,840 --> 00:09:32,760 Speaker 1: now we have this kind of disinformation being codified into 171 00:09:32,840 --> 00:09:35,280 Speaker 1: law that will make it harder for people, namely black 172 00:09:35,320 --> 00:09:38,160 Speaker 1: folks and brown folks and first time voters to vote. 173 00:09:38,440 --> 00:09:42,040 Speaker 1: That's also happening in other ways. It's happening with the 174 00:09:42,080 --> 00:09:45,000 Speaker 1: spate of anti abortion legislation we're seeing all all over 175 00:09:45,000 --> 00:09:48,520 Speaker 1: the country based purely in fictions about our health and 176 00:09:48,559 --> 00:09:53,800 Speaker 1: our bodies. It's happening in really really harmful, dangerous laws 177 00:09:54,320 --> 00:10:00,080 Speaker 1: about legislating trans identity, oftentimes focused on trans youth. A 178 00:10:00,120 --> 00:10:03,080 Speaker 1: lot of these laws are based on complete fictions and 179 00:10:03,120 --> 00:10:07,160 Speaker 1: fabrications about trans youth. And I don't see these as disparate. 180 00:10:07,200 --> 00:10:11,560 Speaker 1: I see these as a coordinated series of attacks on 181 00:10:11,559 --> 00:10:17,040 Speaker 1: our democracy being fueled by disinformation and lies and you know, 182 00:10:17,840 --> 00:10:23,800 Speaker 1: falsehoods about marginalized people being spread and having a digital 183 00:10:23,840 --> 00:10:28,120 Speaker 1: media ecosystem and landscape ready and employs to amplify them 184 00:10:28,160 --> 00:10:32,079 Speaker 1: and help them fester and become more powerful. Yeah, I mean, 185 00:10:32,120 --> 00:10:34,280 Speaker 1: it's it's all egregious. I think some of the worst 186 00:10:34,559 --> 00:10:39,680 Speaker 1: is the disinformation about like trans kids right, like, why 187 00:10:39,720 --> 00:10:44,320 Speaker 1: are children somehow a political punching bag for a lot 188 00:10:44,360 --> 00:10:46,920 Speaker 1: of the same groups that you know are concerned that 189 00:10:47,520 --> 00:10:52,160 Speaker 1: Amazon is selling children and you know, all these disinformation stories. 190 00:10:52,600 --> 00:10:56,240 Speaker 1: It's pretty disgusting the way that they will create these 191 00:10:56,400 --> 00:11:00,560 Speaker 1: fabrications about people and especially children. It's discus and let's 192 00:11:00,600 --> 00:11:02,679 Speaker 1: I need to be clear, like this is going to 193 00:11:02,800 --> 00:11:06,199 Speaker 1: kill people. People will die because of this kind of legislation. 194 00:11:06,679 --> 00:11:11,000 Speaker 1: We know that trans youth are safer when they have 195 00:11:11,360 --> 00:11:14,360 Speaker 1: access to gender or firmain healthcare. Everybody needs health care. 196 00:11:14,840 --> 00:11:20,319 Speaker 1: To create laws based on fictions and lies and smears, 197 00:11:20,679 --> 00:11:25,840 Speaker 1: smears that are fueled by someone's identity to further criminalize them, 198 00:11:25,920 --> 00:11:29,679 Speaker 1: they're essentially a I believe, trying to legislate trans identity 199 00:11:29,679 --> 00:11:33,400 Speaker 1: out of existence, so you know, eradicate trans identity starting 200 00:11:33,400 --> 00:11:36,280 Speaker 1: with youth. And we're talking about youth who are often 201 00:11:36,400 --> 00:11:40,720 Speaker 1: times so marginalized. So it's not it's it's cruel, but 202 00:11:40,840 --> 00:11:43,600 Speaker 1: it's also people are going to die, people are going 203 00:11:43,640 --> 00:11:47,080 Speaker 1: to be deeply, deeply harmed. And the worst part is 204 00:11:47,080 --> 00:11:52,360 Speaker 1: is that it's all based in complete fictions, complete untruths 205 00:11:52,400 --> 00:11:57,560 Speaker 1: that are allowed to fester and spread on social media. 206 00:11:58,000 --> 00:12:00,920 Speaker 1: Oftentimes for profit, right, I think that like we're not 207 00:12:01,000 --> 00:12:03,360 Speaker 1: fully I don't. I think it can be difficult to 208 00:12:03,440 --> 00:12:06,680 Speaker 1: fully see that at the scope that it actually is. 209 00:12:07,160 --> 00:12:10,080 Speaker 1: It's not a piecemeal it's not about a piecemeal anti 210 00:12:10,120 --> 00:12:12,920 Speaker 1: trans bill and this state or voting might bill in 211 00:12:12,920 --> 00:12:17,840 Speaker 1: this state. It is a coordinated network of larger attacks 212 00:12:17,880 --> 00:12:20,800 Speaker 1: on our democracy fueled by disinformation. And I think that 213 00:12:21,720 --> 00:12:24,679 Speaker 1: you know, Trump didn't start disinformation, but I think that 214 00:12:25,040 --> 00:12:27,000 Speaker 1: we're living in a time right now where people see 215 00:12:27,000 --> 00:12:29,200 Speaker 1: how powerful it is to weaponize and and what a 216 00:12:29,200 --> 00:12:31,640 Speaker 1: powerful weapon it can be. And I think that we're 217 00:12:31,679 --> 00:12:34,560 Speaker 1: really seeing we're only now seeing the results of that. 218 00:12:34,600 --> 00:12:36,840 Speaker 1: I think it's I think we really are at a 219 00:12:36,840 --> 00:12:38,959 Speaker 1: pivotal time where we're gonna have to decide if it 220 00:12:39,040 --> 00:12:54,840 Speaker 1: gets better or worse. More after a quick break, let's 221 00:12:54,880 --> 00:12:57,920 Speaker 1: get right back into it. You brought up a great 222 00:12:58,040 --> 00:13:01,000 Speaker 1: point that there's a lot of money me being made 223 00:13:01,160 --> 00:13:04,640 Speaker 1: on the spread of this disinformation, which came up a 224 00:13:04,679 --> 00:13:07,760 Speaker 1: few times in the seat and disinformed as we talked 225 00:13:07,800 --> 00:13:11,840 Speaker 1: about platforms, But there's a whole bunch of other ways 226 00:13:11,960 --> 00:13:15,000 Speaker 1: that that we didn't touch on because of the focus 227 00:13:15,040 --> 00:13:19,120 Speaker 1: on telling individual people's stories, but uh, that's another huge 228 00:13:19,160 --> 00:13:21,720 Speaker 1: piece here. Yeah, when a Foma is oma was that Pinterest? 229 00:13:21,760 --> 00:13:23,560 Speaker 1: She said that nine times out of ten, when someone 230 00:13:23,760 --> 00:13:27,320 Speaker 1: was pushing medical disinformation or misinformation on the platform, it 231 00:13:27,400 --> 00:13:30,160 Speaker 1: was because they were selling something, whether it was supplements 232 00:13:30,320 --> 00:13:34,600 Speaker 1: or some bogus curative disinformation. People who push it can 233 00:13:34,679 --> 00:13:37,520 Speaker 1: often be scammers looking to line in their pockets. I 234 00:13:37,600 --> 00:13:40,559 Speaker 1: did an episode recently that was a little controversial calling 235 00:13:40,600 --> 00:13:46,040 Speaker 1: out everybody's favorite. Uh well, miss Guru Gwyne Paltrow, I'm sorry, 236 00:13:46,080 --> 00:13:48,800 Speaker 1: she's a scammer. You know, at what point do we 237 00:13:48,880 --> 00:13:51,240 Speaker 1: call it what it is? If you make money, if 238 00:13:51,240 --> 00:13:55,480 Speaker 1: you build an empire on telling people lies, lies about 239 00:13:55,520 --> 00:13:59,040 Speaker 1: their health, lies about their bodies to make money, that's 240 00:13:59,040 --> 00:14:01,120 Speaker 1: a scammer. We have a word for that. Just because 241 00:14:01,160 --> 00:14:03,800 Speaker 1: someone is well dressed and they have a like you 242 00:14:03,840 --> 00:14:08,240 Speaker 1: know ethereal vibe doesn't magnate less of a scam and 243 00:14:08,280 --> 00:14:10,199 Speaker 1: we and I want to get to a point where 244 00:14:10,559 --> 00:14:14,160 Speaker 1: the same way. But when we see someone selling fake gucci, 245 00:14:14,960 --> 00:14:19,920 Speaker 1: you know, on in Times Square in Manhattan, that's a scammer. 246 00:14:20,040 --> 00:14:22,280 Speaker 1: We need to see people who get rich off of 247 00:14:22,400 --> 00:14:25,480 Speaker 1: disinformation and platforms and tech leaders who get rich off 248 00:14:25,520 --> 00:14:28,600 Speaker 1: of it as the same kinds of scammers and worse 249 00:14:28,720 --> 00:14:32,240 Speaker 1: because those scams kill people, they hurt people, they get 250 00:14:32,280 --> 00:14:36,520 Speaker 1: people sit, and they criminalize people. Yeah, you mentioned platforms 251 00:14:36,560 --> 00:14:38,240 Speaker 1: and the role that they have here, and you know, 252 00:14:38,280 --> 00:14:43,760 Speaker 1: they're absolutely profiting off this disinformation, even if they're not 253 00:14:44,240 --> 00:14:48,880 Speaker 1: the ones doing the scams themselves, they are enabling it, 254 00:14:48,920 --> 00:14:52,120 Speaker 1: perpetuating it, and profiting from it. And I know in 255 00:14:52,160 --> 00:14:54,320 Speaker 1: a lot of the work that you've done with Ultra Violet, 256 00:14:54,440 --> 00:14:58,520 Speaker 1: you've been bringing this to the platforms. Uh, you know, 257 00:14:58,640 --> 00:15:03,760 Speaker 1: especially Facebook and Twitter. Are those the big platforms that 258 00:15:03,840 --> 00:15:06,000 Speaker 1: we need to be concerned about now? Where there are 259 00:15:06,000 --> 00:15:08,120 Speaker 1: there others. So if you would have asked me this 260 00:15:08,200 --> 00:15:10,200 Speaker 1: a few months ago, I would have said my big 261 00:15:10,320 --> 00:15:14,560 Speaker 1: three were Facebook, Google which owns YouTube, and Twitter. But 262 00:15:14,760 --> 00:15:17,120 Speaker 1: we need to be thinking about other platforms as well. 263 00:15:17,240 --> 00:15:21,960 Speaker 1: We recently met with TikTok about disinformation on their platform. 264 00:15:22,360 --> 00:15:24,720 Speaker 1: Um the episode that we did with blood Bath and 265 00:15:24,720 --> 00:15:29,400 Speaker 1: Beyond and Abby Richards, who are two amazing TikTok ers 266 00:15:29,440 --> 00:15:33,520 Speaker 1: who make amazing content really counterings on the disinformation that 267 00:15:33,560 --> 00:15:36,000 Speaker 1: we see on those platforms, have really spoken to the 268 00:15:36,000 --> 00:15:39,120 Speaker 1: way that TikTok has really gone under the radar, which 269 00:15:39,160 --> 00:15:40,800 Speaker 1: is so horrible when you think about the fact that 270 00:15:40,840 --> 00:15:44,640 Speaker 1: the average users age is fourteen, right, and so these 271 00:15:44,640 --> 00:15:49,040 Speaker 1: are very young people who are really being targeted with 272 00:15:49,080 --> 00:15:54,280 Speaker 1: a lot of harmful content. Never mind the sexist, racist, 273 00:15:54,960 --> 00:15:59,280 Speaker 1: toxic content that's there that's like, yes, and but also 274 00:16:00,040 --> 00:16:04,200 Speaker 1: harmful disinformation and disinformation about our bodies, about our identities, 275 00:16:04,240 --> 00:16:08,520 Speaker 1: about sexuality. Imagine being four keen and having to wade 276 00:16:08,600 --> 00:16:10,560 Speaker 1: through all of this, like it's a lot. And so 277 00:16:11,440 --> 00:16:13,320 Speaker 1: I think that we really do need to be spending 278 00:16:13,320 --> 00:16:17,480 Speaker 1: more time focusing on emerging platforms like TikTok. And something 279 00:16:17,520 --> 00:16:19,760 Speaker 1: that blood Bath and Beyond brought up, which I thought 280 00:16:19,800 --> 00:16:21,800 Speaker 1: was a really good point, is that we need to 281 00:16:21,840 --> 00:16:25,440 Speaker 1: be having these conversations on the platforms where they start. 282 00:16:25,480 --> 00:16:29,520 Speaker 1: And so if you see disinformation popping off on TikTok, 283 00:16:29,960 --> 00:16:33,120 Speaker 1: you can't counter that on Twitter, you know. And so 284 00:16:33,160 --> 00:16:36,240 Speaker 1: it's like, I, even though I am way older than 285 00:16:36,120 --> 00:16:38,840 Speaker 1: the than the target user of TikTok, I am now 286 00:16:38,880 --> 00:16:41,760 Speaker 1: on TikTok because I want to know what kinds of conversations, 287 00:16:41,800 --> 00:16:44,080 Speaker 1: what kind of content is happening there, and what can 288 00:16:44,120 --> 00:16:45,760 Speaker 1: we do to make sure that content is safe for 289 00:16:45,880 --> 00:16:48,680 Speaker 1: this very young user base. Yeah, I think you're absolutely 290 00:16:48,720 --> 00:16:50,960 Speaker 1: right that it's been under the radar and it it 291 00:16:51,040 --> 00:16:53,400 Speaker 1: needs to be a focus. They've got I just looked 292 00:16:53,400 --> 00:16:56,640 Speaker 1: it up. Over a billion active monthly users. So not 293 00:16:56,680 --> 00:17:00,080 Speaker 1: only are they is it young people, but it's a 294 00:17:00,080 --> 00:17:02,400 Speaker 1: lot of them. So I'm thank you for doing that work. 295 00:17:02,960 --> 00:17:05,240 Speaker 1: I mean, it's it's a little silly because I'm definitely 296 00:17:06,200 --> 00:17:09,080 Speaker 1: I so. I love TikTok. I made my first TikTok 297 00:17:09,359 --> 00:17:14,320 Speaker 1: two weeks ago. It is about my cats, Monika Um. 298 00:17:14,480 --> 00:17:16,320 Speaker 1: I'm hoping to make her a TikTok star. There's a 299 00:17:16,359 --> 00:17:19,160 Speaker 1: lot of good cat content on TikTok. It's a great 300 00:17:19,200 --> 00:17:22,200 Speaker 1: platform and I completely understand why people go there and 301 00:17:22,240 --> 00:17:25,480 Speaker 1: looking for community. You know, their algorithm is amazing and 302 00:17:25,520 --> 00:17:27,960 Speaker 1: that like, you know, I'm a identify as a black 303 00:17:27,960 --> 00:17:33,040 Speaker 1: beer woman. Within the first few scrolls of being on TikTok, 304 00:17:33,359 --> 00:17:36,320 Speaker 1: their algorithm completely clocked me as a black queer woman 305 00:17:36,320 --> 00:17:39,240 Speaker 1: and was serving servicing any content that we would put 306 00:17:39,280 --> 00:17:42,719 Speaker 1: aligned with that identity. And so if they're algorithm is 307 00:17:42,800 --> 00:17:46,879 Speaker 1: that good at knowing my identity understanding the kind of 308 00:17:46,880 --> 00:17:49,080 Speaker 1: content I want to see? That should to show you 309 00:17:49,119 --> 00:17:51,280 Speaker 1: how powerful it is, and so I want to make 310 00:17:51,320 --> 00:17:54,639 Speaker 1: sure what these algorithms are being agents of good, agents 311 00:17:54,640 --> 00:17:57,639 Speaker 1: of bringing people closer to communities that are healthy, not 312 00:17:57,760 --> 00:18:01,240 Speaker 1: bringing them closer to communities that will endanger them or 313 00:18:01,280 --> 00:18:05,720 Speaker 1: get them, you know, involved in toxic or extremist content. Yeah, 314 00:18:07,640 --> 00:18:12,160 Speaker 1: so what can people do to curb disinformation in our 315 00:18:12,200 --> 00:18:14,560 Speaker 1: everyday lives? Well, the number one thing that you can 316 00:18:14,560 --> 00:18:17,560 Speaker 1: do is not to amplify it, not to share it, 317 00:18:17,800 --> 00:18:22,320 Speaker 1: even if you're trying to debunk it. Oftentimes, when you 318 00:18:22,359 --> 00:18:25,400 Speaker 1: retweet something that that is disinformation on disinformation, you're actually 319 00:18:25,440 --> 00:18:27,560 Speaker 1: just helping it spread and helping it become more powerful 320 00:18:27,920 --> 00:18:31,399 Speaker 1: by debugging it. Focus instead on sort of thinking of 321 00:18:31,440 --> 00:18:34,679 Speaker 1: yourself as like an influencer of your own little pocket 322 00:18:34,680 --> 00:18:36,119 Speaker 1: of the internet. So even if you don't have a 323 00:18:36,160 --> 00:18:38,439 Speaker 1: lot of followers or you're not somebody who is like 324 00:18:38,560 --> 00:18:42,920 Speaker 1: Kim Kardashian online, you still have influence over your little 325 00:18:42,920 --> 00:18:46,840 Speaker 1: pocket of the web. So focus on becoming that trustworthy 326 00:18:46,880 --> 00:18:48,879 Speaker 1: person that people know they can go to. They know 327 00:18:48,920 --> 00:18:51,200 Speaker 1: they can go to your feed, your TikTok, your Twitter 328 00:18:51,280 --> 00:18:53,760 Speaker 1: or whatever. They know that they can count on you 329 00:18:53,840 --> 00:18:59,320 Speaker 1: for posting accurate, timely information and that means your community 330 00:18:59,359 --> 00:19:02,160 Speaker 1: is going to be so nourished and so full off 331 00:19:02,200 --> 00:19:04,160 Speaker 1: of the information that you share that is like good 332 00:19:04,240 --> 00:19:07,359 Speaker 1: and accurate, they're not going to be as susceptible to 333 00:19:07,400 --> 00:19:10,240 Speaker 1: fall for it when someone is posting bs. So focus 334 00:19:10,320 --> 00:19:12,320 Speaker 1: on being like an influencer of your little pocket of 335 00:19:12,359 --> 00:19:15,520 Speaker 1: the Internet. And then also if you see something that 336 00:19:15,640 --> 00:19:19,480 Speaker 1: is suspect, google it right, Like I think on like 337 00:19:19,480 --> 00:19:21,119 Speaker 1: like we see this a lot on TikTok with the 338 00:19:21,160 --> 00:19:25,760 Speaker 1: trafficking content. I do believe that people are sharing misinformation 339 00:19:26,200 --> 00:19:28,880 Speaker 1: not because they want to be bad actors who they're 340 00:19:28,920 --> 00:19:32,600 Speaker 1: not looking to intentionally disinform. They're just you know, sharing 341 00:19:32,640 --> 00:19:34,479 Speaker 1: something of their community because like they maybe and they 342 00:19:34,480 --> 00:19:36,440 Speaker 1: think it will be helpful. Maybe you know, they don't know, 343 00:19:36,800 --> 00:19:40,280 Speaker 1: like maybe it's true. I think it's like, don't fall 344 00:19:40,280 --> 00:19:44,080 Speaker 1: into the trap of sharing something just because maybe it's true. 345 00:19:44,280 --> 00:19:46,280 Speaker 1: Do a little research Google to try to find try 346 00:19:46,320 --> 00:19:48,280 Speaker 1: to find a reliable source backing up what you say, 347 00:19:48,320 --> 00:19:51,440 Speaker 1: and if you can't, don't share it. I would also say, 348 00:19:52,160 --> 00:19:54,640 Speaker 1: you know, this came up from the episode we did 349 00:19:54,720 --> 00:19:57,840 Speaker 1: with Nora from Pain America. Recognize that we all have 350 00:19:57,920 --> 00:19:59,720 Speaker 1: a role to play in this. It's it's it's a 351 00:19:59,760 --> 00:20:02,600 Speaker 1: little it like climate change. Right. I am one person. 352 00:20:02,920 --> 00:20:05,720 Speaker 1: I am not a wealthy corporation. It is up to 353 00:20:05,760 --> 00:20:09,480 Speaker 1: wealthy corporate wealthy in corporations wanted to change like fixed 354 00:20:09,480 --> 00:20:12,000 Speaker 1: climate changes. They could, and they should. They're the ones 355 00:20:12,040 --> 00:20:14,600 Speaker 1: with power, they should be the ones acting as leaders 356 00:20:14,640 --> 00:20:17,280 Speaker 1: to do this. But in absence of that, I can 357 00:20:17,280 --> 00:20:19,919 Speaker 1: still make individual choices that help, right, I can still 358 00:20:20,440 --> 00:20:24,720 Speaker 1: you know, reduce my usage of single use plastics or whatever. 359 00:20:24,960 --> 00:20:27,840 Speaker 1: Disinformation and misinformation is the same way. It is up 360 00:20:27,880 --> 00:20:32,400 Speaker 1: to tech leadership and policymakers to step in and and 361 00:20:32,400 --> 00:20:34,879 Speaker 1: and right this wrong, right, and and and make a 362 00:20:34,920 --> 00:20:38,080 Speaker 1: big difference. In absence of their leadership, we can all 363 00:20:38,119 --> 00:20:39,960 Speaker 1: make smarter choices of how we see it Internet. We 364 00:20:39,960 --> 00:20:41,600 Speaker 1: could all be good stewards of the Internet. We can 365 00:20:41,640 --> 00:20:44,800 Speaker 1: all think twice before we retweet something, or you know, 366 00:20:45,320 --> 00:20:48,119 Speaker 1: pause and take a breath before we share something. I 367 00:20:48,119 --> 00:20:51,480 Speaker 1: think that that, like, that realization was really helpful for me. Yeah, 368 00:20:51,520 --> 00:20:54,320 Speaker 1: that makes sense. So that really aligns with what you've 369 00:20:54,320 --> 00:20:58,080 Speaker 1: been doing over the past six months, year longer than 370 00:20:58,119 --> 00:21:03,280 Speaker 1: that of both those things of helping educate people and 371 00:21:03,440 --> 00:21:06,080 Speaker 1: raise awareness about disinformation and what we can all do, 372 00:21:06,760 --> 00:21:12,840 Speaker 1: as well as your work with platforms and policy policymakers 373 00:21:12,880 --> 00:21:17,240 Speaker 1: through Ultra Violet. Um, and you know you've you've had 374 00:21:17,280 --> 00:21:19,479 Speaker 1: some help along the way and spreading that message. A 375 00:21:19,480 --> 00:21:21,760 Speaker 1: lot of your friends and colleagues invited you onto their 376 00:21:21,760 --> 00:21:24,960 Speaker 1: shows to talk about disinformation. What was that experience like 377 00:21:25,080 --> 00:21:27,480 Speaker 1: for you? Oh? My god? So fun. The voice that 378 00:21:27,520 --> 00:21:29,560 Speaker 1: you hear on the podcast is largely my own, and 379 00:21:30,119 --> 00:21:32,359 Speaker 1: podcasting the reason why it's fun, the reason why I 380 00:21:32,359 --> 00:21:35,480 Speaker 1: got into it because it's collaborative and so being able 381 00:21:35,520 --> 00:21:40,359 Speaker 1: to collaborate with my community of podcast nerds has been amazing. 382 00:21:40,400 --> 00:21:41,920 Speaker 1: I have got the chance to go on so many 383 00:21:41,920 --> 00:21:44,640 Speaker 1: amazing podcasts. Um, I can shout some out right now, 384 00:21:45,160 --> 00:21:47,440 Speaker 1: Uh stuff, Mom'm ever told you. I'm on every month 385 00:21:47,520 --> 00:21:50,520 Speaker 1: talking about underrepresented voictions on the Internet. Shout out to 386 00:21:50,640 --> 00:21:53,600 Speaker 1: Sam and Annie they are amazing. Um. I was on 387 00:21:53,600 --> 00:21:56,600 Speaker 1: one of my favorite podcasts, Robert Evans is behind the Bastard. 388 00:21:56,600 --> 00:21:59,280 Speaker 1: Shout out to Robert and Sophie. They are amazing. They 389 00:21:59,359 --> 00:22:04,119 Speaker 1: do work chronicling sort of bastards throughout history. You know, 390 00:22:04,600 --> 00:22:08,239 Speaker 1: so people like I don't know, Mark Zuckerberg, people who 391 00:22:08,320 --> 00:22:12,080 Speaker 1: have you know, further bad things in the world. Um, 392 00:22:12,600 --> 00:22:16,080 Speaker 1: I am a frequent guest on one of my favorite podcasts, 393 00:22:16,240 --> 00:22:19,560 Speaker 1: Daily Zite Guys Shout out to the Zeit Gang. Amazing, amazing, 394 00:22:19,560 --> 00:22:22,960 Speaker 1: definitely check it out. And then podcasts where they're doing 395 00:22:23,160 --> 00:22:26,359 Speaker 1: interesting work thinking about the Internet in interesting ways, like 396 00:22:26,440 --> 00:22:30,600 Speaker 1: Joe Piazzas podcast is phenomenal Under the Influence. She is 397 00:22:31,040 --> 00:22:35,359 Speaker 1: chronicling the influencer community peicularly like Mom influencers and like 398 00:22:35,440 --> 00:22:41,080 Speaker 1: Mom Instagram users, because people don't really cover or chronicle 399 00:22:42,080 --> 00:22:45,960 Speaker 1: Instagram or influencers because I think there's so many women 400 00:22:46,000 --> 00:22:47,959 Speaker 1: in that field, and so it's just not seen as 401 00:22:48,040 --> 00:22:54,240 Speaker 1: worthy of actual consideration or actual um journalistic scrutiny. However, 402 00:22:54,320 --> 00:22:57,240 Speaker 1: it's also a billion dollar industry and so if no 403 00:22:57,280 --> 00:22:59,840 Speaker 1: one is covering this with the seriousness that it deserves 404 00:22:59,840 --> 00:23:02,639 Speaker 1: the serious that other billion dollar industries get, you know, 405 00:23:02,960 --> 00:23:05,960 Speaker 1: things go under their radar, people are exploited, things get 406 00:23:06,000 --> 00:23:08,000 Speaker 1: you know, people need to know about what's going on. 407 00:23:08,040 --> 00:23:10,760 Speaker 1: And so I was lucky enough to be on her podcast. 408 00:23:10,760 --> 00:23:13,760 Speaker 1: I cannot recommend it enough. She is amazing. Another good 409 00:23:13,760 --> 00:23:16,440 Speaker 1: one is the Daily Dapts podcast Two Girls, One Pad 410 00:23:16,560 --> 00:23:19,560 Speaker 1: of really doing some interesting work again just talking about 411 00:23:19,560 --> 00:23:22,560 Speaker 1: the Internet. In different ways. The experience of being on 412 00:23:22,600 --> 00:23:26,320 Speaker 1: the Internet is so multifaceted, there's so many interesting angles 413 00:23:26,320 --> 00:23:29,639 Speaker 1: to it. We rarely cover it with the depth that 414 00:23:29,720 --> 00:23:33,959 Speaker 1: it deserves because it can be so difficult to spotlight 415 00:23:34,640 --> 00:23:37,920 Speaker 1: marginalized experiences there. And it's like there's like a default 416 00:23:37,920 --> 00:23:40,399 Speaker 1: assumption that the average user on the Internet is a 417 00:23:40,400 --> 00:23:43,920 Speaker 1: white male, and that leaves out so many pockets, so 418 00:23:43,960 --> 00:23:47,320 Speaker 1: many facets to what people's actual experiences online are actually like. 419 00:23:47,560 --> 00:23:49,399 Speaker 1: And so I'm so happy that I am in a 420 00:23:49,400 --> 00:23:52,640 Speaker 1: community of people really working hard to tell these stories 421 00:23:52,880 --> 00:23:57,000 Speaker 1: with the you know, love and nuance and thoughtfulness that 422 00:23:57,040 --> 00:24:00,600 Speaker 1: they really do deserve. Another great one um tech stuff. 423 00:24:00,720 --> 00:24:03,119 Speaker 1: I'm not just saying that because Jonathan Strickland is the 424 00:24:03,160 --> 00:24:08,160 Speaker 1: executive producer of this show. He also tells phenomenally interesting 425 00:24:08,200 --> 00:24:10,119 Speaker 1: stories about the Internet and the experience of being on 426 00:24:10,160 --> 00:24:13,800 Speaker 1: the Internet, from gadgets to trends to sort of more 427 00:24:13,880 --> 00:24:16,639 Speaker 1: cless opical questions. I think there's so many interesting people 428 00:24:16,880 --> 00:24:19,399 Speaker 1: having those interesting conversations about what it means to be 429 00:24:19,400 --> 00:24:22,119 Speaker 1: a person on the Internet today. Yeah, and Jonathan has 430 00:24:22,160 --> 00:24:25,840 Speaker 1: been so supportive throughout making this podcast, both in terms 431 00:24:25,880 --> 00:24:29,080 Speaker 1: of the content and also like the behind the scenes, 432 00:24:29,200 --> 00:24:34,200 Speaker 1: nuts and bolt stuff of making a podcast successful. Absolutely yeah. Um. 433 00:24:34,240 --> 00:24:39,040 Speaker 1: Speaking of being successful, earlier this month, we found out 434 00:24:39,040 --> 00:24:41,960 Speaker 1: that Tang Goody Want a Shorty Award, beating out other 435 00:24:42,040 --> 00:24:46,159 Speaker 1: podcasts in our category produced by powerhouses like HBO and 436 00:24:46,240 --> 00:24:49,560 Speaker 1: the NFL. How did you do it? What is your secret? 437 00:24:50,160 --> 00:24:54,360 Speaker 1: My secret is an amazing producer and engineer, Tarry Harrison. 438 00:24:54,920 --> 00:24:57,680 Speaker 1: Surely in this podcast would be would be non existent 439 00:24:57,720 --> 00:25:01,160 Speaker 1: without her visions, Like if you've ever listen to something 440 00:25:01,200 --> 00:25:03,159 Speaker 1: on the show about like, well that sounds cool, we're like, oh, 441 00:25:03,200 --> 00:25:07,240 Speaker 1: that was a beautiful, beautifully soundscape part of the show 442 00:25:07,840 --> 00:25:10,439 Speaker 1: that was sorry, And so really, she's a secret sauce 443 00:25:10,960 --> 00:25:13,800 Speaker 1: of why it works. It's it's her, and it's the 444 00:25:13,840 --> 00:25:16,280 Speaker 1: stories of all the interesting people who are doing such 445 00:25:16,320 --> 00:25:18,760 Speaker 1: cool work online. So I feel like I have very 446 00:25:18,800 --> 00:25:21,159 Speaker 1: little to do with it. Between the two of Between 447 00:25:21,160 --> 00:25:23,600 Speaker 1: that those two things, it's almost impossible to not make 448 00:25:23,640 --> 00:25:28,000 Speaker 1: an award winning podcast because they're so great. Yeah, Tart 449 00:25:28,119 --> 00:25:31,120 Speaker 1: is amazing, your guests are amazing. I think you also 450 00:25:31,200 --> 00:25:34,200 Speaker 1: had a little bit to do with it. Okay, I'll 451 00:25:34,200 --> 00:25:35,879 Speaker 1: allow that I had a little something to do with it. 452 00:25:37,720 --> 00:25:40,880 Speaker 1: So what can listeners look forward to in the next 453 00:25:40,880 --> 00:25:44,040 Speaker 1: season of Tank GODI and when can they look forward 454 00:25:44,040 --> 00:25:45,880 Speaker 1: to hearing it? So we will be back in your 455 00:25:45,880 --> 00:25:50,160 Speaker 1: earbuds very soon, and we're gonna keep having these conversations 456 00:25:50,160 --> 00:25:52,200 Speaker 1: about what it looks like online for people who wanted 457 00:25:52,200 --> 00:25:54,200 Speaker 1: to represent it. Some of the episodes that we did 458 00:25:54,520 --> 00:25:56,440 Speaker 1: this season that We're near and Near to my Heart 459 00:25:56,520 --> 00:25:59,760 Speaker 1: were stories of women who were finding themselves at the 460 00:25:59,760 --> 00:26:03,080 Speaker 1: said tour of not so pleasant experiences online and so 461 00:26:03,600 --> 00:26:07,399 Speaker 1: things like online harassment campaigns, pylon campaigns. I'm really interested 462 00:26:07,400 --> 00:26:09,359 Speaker 1: in how these women deal with it and will come 463 00:26:09,359 --> 00:26:11,359 Speaker 1: out the other side of it. So that's something to 464 00:26:11,359 --> 00:26:16,080 Speaker 1: look forward to in a fun little mini series. Really 465 00:26:16,160 --> 00:26:19,720 Speaker 1: kind of the opposite about women who are just doing 466 00:26:19,840 --> 00:26:23,040 Speaker 1: cool stuff online, like interesting women that you might not 467 00:26:23,160 --> 00:26:25,840 Speaker 1: know about, who are making the Internet a better place. 468 00:26:25,880 --> 00:26:28,080 Speaker 1: So a little bit of like light and dark, and 469 00:26:28,119 --> 00:26:30,240 Speaker 1: I think it really is representative of the fact that 470 00:26:31,000 --> 00:26:33,080 Speaker 1: being a woman or a person of color, or a 471 00:26:33,119 --> 00:26:36,159 Speaker 1: queer person or a transperson online you deal with so 472 00:26:36,240 --> 00:26:39,040 Speaker 1: much crap. There is ugliness there, but there is life 473 00:26:39,040 --> 00:26:41,280 Speaker 1: there too, Like it is what brings me back to 474 00:26:41,359 --> 00:26:43,359 Speaker 1: the Internet, is what brought me to the Internet in 475 00:26:43,400 --> 00:26:45,719 Speaker 1: the first place, and I'm really interested in telling the 476 00:26:45,760 --> 00:26:48,280 Speaker 1: full scope of that story. It's like Claire said in 477 00:26:48,320 --> 00:26:50,960 Speaker 1: the very first episode, you know, don't fight the darkness, 478 00:26:51,000 --> 00:26:52,680 Speaker 1: bring the light. So what are you gonna be doing 479 00:26:52,760 --> 00:26:54,639 Speaker 1: while the show is on hiatus, You're just gonna be 480 00:26:54,760 --> 00:26:59,000 Speaker 1: kicking to the beach. I wish a little bit of 481 00:26:59,040 --> 00:27:01,960 Speaker 1: beach time. I definitely want to take some time for 482 00:27:02,080 --> 00:27:07,479 Speaker 1: like actual meaningful rest. You know, I've been doing this 483 00:27:07,520 --> 00:27:11,399 Speaker 1: show since January here it is almost June. It is 484 00:27:11,760 --> 00:27:14,720 Speaker 1: been It's been fun. I'm great, but I'm looking forward 485 00:27:14,720 --> 00:27:17,680 Speaker 1: to taking some time off. I'm going to continue holding 486 00:27:18,040 --> 00:27:22,840 Speaker 1: platforms accountable. I met with Twitter just today to advocate 487 00:27:22,880 --> 00:27:27,120 Speaker 1: for some policy changes. The meeting with TikTok. We continue 488 00:27:27,160 --> 00:27:30,159 Speaker 1: to meet with Facebook, so that work will not stop. 489 00:27:30,440 --> 00:27:31,960 Speaker 1: That is not work that you hear about on the 490 00:27:31,960 --> 00:27:35,520 Speaker 1: podcast very often, because frankly, it's not really that interesting 491 00:27:35,600 --> 00:27:39,320 Speaker 1: to listen to sometimes. But that will continue, and you know, 492 00:27:39,640 --> 00:27:43,199 Speaker 1: I'm excited to sort of get back out there. You know, 493 00:27:43,400 --> 00:27:47,399 Speaker 1: I have this little saying I am now vaxed, wax 494 00:27:47,480 --> 00:27:49,240 Speaker 1: and relax. Actually it's not my saying. I saw it 495 00:27:49,240 --> 00:27:52,040 Speaker 1: on TikTok, but It is the motto for this this 496 00:27:52,280 --> 00:27:55,119 Speaker 1: part of my life right now, and I'm looking forward 497 00:27:55,160 --> 00:27:59,960 Speaker 1: to traveling some safely. I'm looking forward to continuing to 498 00:28:00,119 --> 00:28:04,480 Speaker 1: these conversations, and honestly, I want to keep talking about 499 00:28:04,520 --> 00:28:06,960 Speaker 1: how we make the Internet a safer, better place and 500 00:28:07,440 --> 00:28:09,680 Speaker 1: amplifying the voices of some of the women and folks 501 00:28:09,680 --> 00:28:11,760 Speaker 1: of color who are doing that. And so if folks 502 00:28:11,760 --> 00:28:14,520 Speaker 1: are interested in live events, I am interested in them too. 503 00:28:14,560 --> 00:28:17,000 Speaker 1: If folks want to bring me out to speak for 504 00:28:17,119 --> 00:28:19,920 Speaker 1: their organization or for an event they're having, I am 505 00:28:20,040 --> 00:28:22,239 Speaker 1: very interested. As I said, I am vaxed, waxed and 506 00:28:22,240 --> 00:28:26,119 Speaker 1: relaxed and down to get out there. That is just 507 00:28:26,200 --> 00:28:28,440 Speaker 1: sound like the wax part is like part of that. 508 00:28:29,359 --> 00:28:36,800 Speaker 1: If not, okay, good to clarify. A thousand people are 509 00:28:36,840 --> 00:28:42,160 Speaker 1: hitting the backspace right now. Uh well, Bridget, that sounds great. 510 00:28:42,560 --> 00:28:45,440 Speaker 1: Thanks for talking with me, Thanks for letting me come 511 00:28:45,480 --> 00:28:49,800 Speaker 1: along on this ride of this season. Um, congratulations again 512 00:28:49,800 --> 00:28:53,720 Speaker 1: on the Shorty Award and anything else to say. You know, 513 00:28:53,960 --> 00:28:57,480 Speaker 1: I wish your listeners a good summer. Thanks for coming 514 00:28:57,520 --> 00:28:59,680 Speaker 1: along this ride with us. I can't wait to see 515 00:28:59,720 --> 00:29:03,760 Speaker 1: you every go next. I've loved getting your emails, your tweets, 516 00:29:03,800 --> 00:29:06,320 Speaker 1: your messages. I cannot tell you how much it means 517 00:29:06,360 --> 00:29:08,600 Speaker 1: to me. I've had so many times where I'm thinking 518 00:29:09,400 --> 00:29:11,680 Speaker 1: no one's listening to my podcast. I should just give up, 519 00:29:11,720 --> 00:29:15,600 Speaker 1: and then I'll get that perfectly timed review or email 520 00:29:15,840 --> 00:29:19,000 Speaker 1: or shout out, and it means so much, and please 521 00:29:19,080 --> 00:29:21,719 Speaker 1: keep it going and yeah, I'll see you on the internet. 522 00:29:26,960 --> 00:29:30,120 Speaker 1: If you've enjoyed this podcast, please help us grow by subscribing. 523 00:29:34,440 --> 00:29:36,480 Speaker 1: Got a story about an interesting thing in tech, or 524 00:29:36,480 --> 00:29:38,320 Speaker 1: just want to say hi. We'd love to hear from 525 00:29:38,360 --> 00:29:41,320 Speaker 1: you at Hello at tango e dot com. Disinformed is 526 00:29:41,320 --> 00:29:43,080 Speaker 1: brought to you by There Are No Girls on the Internet. 527 00:29:43,360 --> 00:29:46,600 Speaker 1: It's a production of iHeart Radio and Unbust creative Jonathan 528 00:29:46,600 --> 00:29:50,280 Speaker 1: Strickland as our executive producer. Tary Harrison is our supervising producer, 529 00:29:50,320 --> 00:29:54,200 Speaker 1: and engineer. Michaelamato is our contributing producer. I'm your host 530 00:29:54,240 --> 00:29:57,120 Speaker 1: Bridget Toad. For more great podcasts, check out the iHeart 531 00:29:57,160 --> 00:29:59,840 Speaker 1: Radio app, Apple Podcast, or wherever you get your podcasts. 532 00:30:00,480 --> 00:30:06,600 Speaker 1: The Protect the Y