1 00:00:04,160 --> 00:00:05,880 Speaker 1: There Are No Girls on the Internet. As a production 2 00:00:05,920 --> 00:00:13,000 Speaker 1: of My Heart Radio and Unbust Creative. I'm Bridget Todd 3 00:00:13,200 --> 00:00:14,840 Speaker 1: and this is There Are No Girls on the Internet. 4 00:00:17,720 --> 00:00:20,759 Speaker 1: We are back with a little hiatus update, this time 5 00:00:20,880 --> 00:00:24,560 Speaker 1: all about you, hasted Facebook. Now, if you've been listening 6 00:00:24,560 --> 00:00:26,599 Speaker 1: to Tyodi for any amount of time, you know that 7 00:00:26,640 --> 00:00:30,000 Speaker 1: Facebook is the platform I love to Hey, I think 8 00:00:30,040 --> 00:00:33,320 Speaker 1: it's an evil company that has profited from destabilizing democracies 9 00:00:33,440 --> 00:00:37,840 Speaker 1: and hurting already marginalized communities. Hate Facebook, hate them, can't 10 00:00:37,840 --> 00:00:40,639 Speaker 1: stand them. And last week we've learned a lot more 11 00:00:40,680 --> 00:00:43,480 Speaker 1: about just how aware of Facebook is about the harm 12 00:00:43,520 --> 00:00:47,040 Speaker 1: their platform causes in our communities. I joined my friends 13 00:00:47,080 --> 00:00:49,760 Speaker 1: Annie and Samantha at the podcast Stuff Mom Never Told 14 00:00:49,760 --> 00:00:52,480 Speaker 1: You to discuss the harm that Facebook causes young women 15 00:00:52,479 --> 00:00:55,680 Speaker 1: and girls, revealed in the bombshell Wall Street Journal expose 16 00:00:56,240 --> 00:00:59,360 Speaker 1: based on documents and data from former Facebook employee turn 17 00:00:59,400 --> 00:01:03,480 Speaker 1: whistleblower Francis Hagen. But Hagen is not the only person 18 00:01:03,520 --> 00:01:07,039 Speaker 1: who has blown the whistle on Facebook's shady practices, and 19 00:01:07,120 --> 00:01:11,160 Speaker 1: next week we'll hear from Sophiejong, a former Facebook employee 20 00:01:11,160 --> 00:01:14,280 Speaker 1: who blew the whistle on Facebook last year. Trust me 21 00:01:14,280 --> 00:01:15,880 Speaker 1: when I say you will not want to miss her 22 00:01:15,920 --> 00:01:19,520 Speaker 1: incredible story. But in the meantime, here's my deep dive 23 00:01:19,560 --> 00:01:22,279 Speaker 1: and the Facebook's damaging impact on peen girls on stuff 24 00:01:22,319 --> 00:01:30,360 Speaker 1: Mom never told you. Hey, this is Annie and Samantha. 25 00:01:30,480 --> 00:01:32,119 Speaker 1: I don't welcome to stuff I've never told your production 26 00:01:32,160 --> 00:01:43,760 Speaker 1: for I HI Radio Today, we are so thrilled to 27 00:01:43,880 --> 00:01:49,840 Speaker 1: once again be joined by the amazing Bridget Todd. Hello Bridget, 28 00:01:50,160 --> 00:01:52,880 Speaker 1: Hello Annie, Hello Sam. I'm so excited to be here 29 00:01:52,880 --> 00:01:55,920 Speaker 1: back with y'all again. Always a delight. We're so excited 30 00:01:55,960 --> 00:01:59,840 Speaker 1: to have you because, as we were just discussing, you 31 00:02:00,280 --> 00:02:03,680 Speaker 1: have brought to the table a topic we wanted to address. 32 00:02:03,720 --> 00:02:06,920 Speaker 1: We knew super important, but we were like, we've better 33 00:02:06,920 --> 00:02:11,320 Speaker 1: wait for Bridget, because Bridget, you have got more no no, 34 00:02:11,560 --> 00:02:15,239 Speaker 1: how then than either of us do. You've worked with Facebook, 35 00:02:15,600 --> 00:02:17,800 Speaker 1: You've interacted with these social media companies, You've just been 36 00:02:17,840 --> 00:02:21,639 Speaker 1: a huge activist and a very outspoken in this area, 37 00:02:21,800 --> 00:02:27,640 Speaker 1: and so so excited where you're talking about this today. Yeah, 38 00:02:27,680 --> 00:02:30,480 Speaker 1: and also when we're talking about social media, I'm not 39 00:02:30,520 --> 00:02:32,679 Speaker 1: gonna lie. You're one of the people that I see 40 00:02:32,720 --> 00:02:35,600 Speaker 1: the most of in all of my social media is 41 00:02:35,600 --> 00:02:40,080 Speaker 1: whether it's Twitter, Istram typically more Twitter, and then like Instagram. 42 00:02:40,120 --> 00:02:42,280 Speaker 1: I see your face and the amazing things you're doing, 43 00:02:42,320 --> 00:02:46,280 Speaker 1: and I have to ask, I cannot figure out how 44 00:02:46,360 --> 00:02:49,280 Speaker 1: you're doing everything that you are doing because you're constantly 45 00:02:49,320 --> 00:02:51,480 Speaker 1: on go, Like I see you in all the panels 46 00:02:51,480 --> 00:02:53,799 Speaker 1: and all the conversations, all the interviews. Everybody wants to 47 00:02:53,800 --> 00:02:56,680 Speaker 1: talk to you, of course, but also you live what 48 00:02:56,880 --> 00:03:02,160 Speaker 1: I am seeing to be my fantasy life in the travel, Like, 49 00:03:02,560 --> 00:03:06,240 Speaker 1: is this your real life? Are you as fantastically living 50 00:03:06,280 --> 00:03:08,640 Speaker 1: as I see? Because I'm quite jealous of all of 51 00:03:08,680 --> 00:03:12,600 Speaker 1: the beautiful trips, all of the sunset pictures, all the 52 00:03:12,680 --> 00:03:15,960 Speaker 1: lovely like sitting by the water pictures. What is this life? 53 00:03:16,000 --> 00:03:19,160 Speaker 1: What is your life? Bridget I'm so glad you asked. 54 00:03:19,160 --> 00:03:21,799 Speaker 1: So this is actually such a good segue into the topic, 55 00:03:21,840 --> 00:03:23,520 Speaker 1: which is that I think if you were going to 56 00:03:23,600 --> 00:03:26,160 Speaker 1: check out my Instagram, you would be like, oh, this 57 00:03:26,200 --> 00:03:30,320 Speaker 1: is a person who lives a phenomenal life. It's a lie. 58 00:03:30,880 --> 00:03:33,920 Speaker 1: I mean, yes, I do the trips, I do the travel. 59 00:03:34,360 --> 00:03:36,720 Speaker 1: The last few weeks I've been traveling on the road, 60 00:03:37,600 --> 00:03:40,680 Speaker 1: and I was in the Cats Skills right outside of Woodstock, 61 00:03:40,680 --> 00:03:42,400 Speaker 1: New York, which is in my favorite places to go. 62 00:03:42,840 --> 00:03:45,520 Speaker 1: And if you were just observing from social media, you 63 00:03:45,560 --> 00:03:49,280 Speaker 1: would be like, wow, this person barely works, and when 64 00:03:49,320 --> 00:03:51,800 Speaker 1: she does work, she's just like sitting on a stage 65 00:03:51,840 --> 00:03:53,760 Speaker 1: and it looks lovely and then she's like going to 66 00:03:53,800 --> 00:03:55,960 Speaker 1: the Cat Skills to her lovely cabin. I posted a 67 00:03:56,000 --> 00:03:58,960 Speaker 1: picture on Instagram of me in a hot tub overlooking 68 00:03:59,400 --> 00:04:03,280 Speaker 1: like rolling mountains and like very beautiful fall foliage, and 69 00:04:03,680 --> 00:04:06,880 Speaker 1: to be like, honest, I did spend a lovely week 70 00:04:06,880 --> 00:04:10,400 Speaker 1: in a lovely cabin in the cat Skills, but I 71 00:04:10,480 --> 00:04:12,480 Speaker 1: was also working in the entire time, and so like 72 00:04:12,640 --> 00:04:14,840 Speaker 1: it wasn't really that fun. My partner was there and 73 00:04:14,840 --> 00:04:16,960 Speaker 1: they were working in the entire time. The picture of 74 00:04:16,960 --> 00:04:19,560 Speaker 1: me in the hot tub, the hot tub had broken 75 00:04:20,040 --> 00:04:21,919 Speaker 1: and so we had two good nights with it. And 76 00:04:21,920 --> 00:04:24,039 Speaker 1: then when I was in it for that picture, I 77 00:04:24,040 --> 00:04:26,320 Speaker 1: was like, oh, I don't think it's actually on. It's 78 00:04:26,360 --> 00:04:30,080 Speaker 1: actually kind of cold, even though I looked like very relaxed. 79 00:04:30,760 --> 00:04:34,400 Speaker 1: So no, I mean, like it's such a like curated 80 00:04:35,040 --> 00:04:38,680 Speaker 1: greatest hits real. And I'm so glad that you asked, 81 00:04:38,680 --> 00:04:41,280 Speaker 1: because I think it's important to demonstrate that, you know, 82 00:04:42,040 --> 00:04:46,800 Speaker 1: Instagram versus reality. It's not always as peche keen rosy 83 00:04:46,960 --> 00:04:49,760 Speaker 1: as it seems. I have to also put in the 84 00:04:49,760 --> 00:04:52,760 Speaker 1: fight that not too long ago you injured yourself and 85 00:04:52,839 --> 00:04:56,120 Speaker 1: you were still like just writing on with all of 86 00:04:56,160 --> 00:04:58,240 Speaker 1: these activities that you're doing, including the fide that you 87 00:04:58,320 --> 00:05:01,960 Speaker 1: are pretty much bossing it up everywhere and doing all 88 00:05:01,960 --> 00:05:04,159 Speaker 1: of these interviews. Because I'm like, when does this woman 89 00:05:04,200 --> 00:05:08,120 Speaker 1: ever stop? Does she ever stop? Because I'm sitting in 90 00:05:08,200 --> 00:05:11,760 Speaker 1: my own couch playing the sad phone game that I've 91 00:05:11,760 --> 00:05:16,640 Speaker 1: been obsessed with while watching things on repeat. I did 92 00:05:16,680 --> 00:05:18,840 Speaker 1: a lot of that as well. And it's so funny 93 00:05:18,880 --> 00:05:22,039 Speaker 1: because we did our first live taping of my podcast 94 00:05:22,120 --> 00:05:23,760 Speaker 1: there are no girls on the internet in New York 95 00:05:24,160 --> 00:05:27,200 Speaker 1: during that trip, and someone was like, oh, wow, you're 96 00:05:27,279 --> 00:05:29,359 Speaker 1: you're back on your feet from breaking your ankle, and 97 00:05:29,360 --> 00:05:32,000 Speaker 1: I was like, no, I just I used my cast 98 00:05:32,160 --> 00:05:33,719 Speaker 1: and my crutches to get on the stage and I 99 00:05:33,839 --> 00:05:37,400 Speaker 1: changed my shoes. Because again, you would think that I'm 100 00:05:37,480 --> 00:05:40,560 Speaker 1: totally healed. It's like no, in actuality, I'm still in 101 00:05:40,600 --> 00:05:45,640 Speaker 1: the cast. Yeah. I mean that is such a great 102 00:05:45,839 --> 00:05:50,680 Speaker 1: segue for what we're talking about and this story around 103 00:05:50,960 --> 00:05:56,040 Speaker 1: Facebook and particularly the damage that it does to young girls, 104 00:05:56,120 --> 00:06:02,000 Speaker 1: has like caught the national attention reesely the national attention 105 00:06:02,120 --> 00:06:06,280 Speaker 1: um and like it was a skit on SNL and 106 00:06:06,360 --> 00:06:11,240 Speaker 1: it's been funny slash sad to see these older politicians 107 00:06:11,279 --> 00:06:15,320 Speaker 1: trying to make sense of things like Instagram. Oh gosh, 108 00:06:15,360 --> 00:06:19,920 Speaker 1: oh my gosh. But it's just so much of what 109 00:06:20,080 --> 00:06:25,279 Speaker 1: you bring in these episodes just demonstrates the real world 110 00:06:26,440 --> 00:06:29,320 Speaker 1: damage and impact that we often separate our beliefs that 111 00:06:29,360 --> 00:06:33,120 Speaker 1: the internet doesn't have, but it does. So can you 112 00:06:33,240 --> 00:06:37,640 Speaker 1: break down this whole thing? I will try my best. 113 00:06:37,800 --> 00:06:41,160 Speaker 1: There's a lot going on, so you know, Facebook has 114 00:06:41,160 --> 00:06:43,679 Speaker 1: had a run, I mean a pretty intense few weeks. 115 00:06:43,800 --> 00:06:45,680 Speaker 1: Is a lot happening, and the thing I really want 116 00:06:45,720 --> 00:06:49,200 Speaker 1: to focus on is the harm specifically to young girls, 117 00:06:49,240 --> 00:06:52,320 Speaker 1: like teenage girls. That is not the totality of like 118 00:06:52,440 --> 00:06:54,920 Speaker 1: what's going on and like the last few weeks for 119 00:06:54,960 --> 00:06:57,080 Speaker 1: Facebook and really the last few months for Facebook. But 120 00:06:57,480 --> 00:07:00,440 Speaker 1: if I were to talk about all the different harmful 121 00:07:00,480 --> 00:07:02,840 Speaker 1: things that Facebook has done and is doing, you will 122 00:07:02,839 --> 00:07:04,760 Speaker 1: be here all day. So I really want to focus 123 00:07:04,800 --> 00:07:07,360 Speaker 1: on the impact that it has on young girls and 124 00:07:07,480 --> 00:07:09,960 Speaker 1: team girls, because you know, I just think that like 125 00:07:10,000 --> 00:07:14,600 Speaker 1: it's easy for teen girls and their experiences to be 126 00:07:14,680 --> 00:07:17,520 Speaker 1: sort of sidelined or marginalized, and so with all the 127 00:07:17,520 --> 00:07:19,720 Speaker 1: different information coming out, I really want to focus on that, 128 00:07:20,040 --> 00:07:22,320 Speaker 1: and so just generally kind of like what's happening and 129 00:07:22,360 --> 00:07:25,160 Speaker 1: sort of why this conversation is taking place. The Wall 130 00:07:25,160 --> 00:07:28,280 Speaker 1: Street Journal published a series of really bombshell expose is 131 00:07:28,320 --> 00:07:31,040 Speaker 1: about Facebook called The Facebook Files. Um. It's also a 132 00:07:31,040 --> 00:07:33,119 Speaker 1: podcast if that's how you prefer to get your media, 133 00:07:33,520 --> 00:07:36,440 Speaker 1: And it was all based on leaked data from documents 134 00:07:36,480 --> 00:07:39,520 Speaker 1: from the company gathered by a whistleblower named Francis Hagen 135 00:07:40,080 --> 00:07:43,320 Speaker 1: who used to work in Facebook's now defunct Civic Integrity Team, 136 00:07:43,320 --> 00:07:45,280 Speaker 1: And that was a team that was really tasked with 137 00:07:45,560 --> 00:07:48,520 Speaker 1: combatant things like misinformation and making sure that misinformation and 138 00:07:48,520 --> 00:07:51,840 Speaker 1: disinformation did not like derail elections, and so it's not 139 00:07:51,880 --> 00:07:54,560 Speaker 1: surprising to me that they dismantled that team. And it's 140 00:07:54,560 --> 00:07:58,560 Speaker 1: a nine part series and it pretty much chronicles Facebook's 141 00:07:58,640 --> 00:08:02,400 Speaker 1: most harmful and trouble link practices and behavior. From this 142 00:08:02,560 --> 00:08:05,640 Speaker 1: expose a we found out things that like the fact 143 00:08:05,680 --> 00:08:09,240 Speaker 1: that high profile celebrity Facebook users are pretty much exempt 144 00:08:09,320 --> 00:08:12,520 Speaker 1: from Facebook's moderation rules, and that Facebook is aware that 145 00:08:12,560 --> 00:08:16,480 Speaker 1: their platform is used to quote promote human trafficking and 146 00:08:16,520 --> 00:08:20,600 Speaker 1: domestic servitude, and so I would recommend that anybody either 147 00:08:20,760 --> 00:08:23,160 Speaker 1: read the entire series or listen to the podcast because 148 00:08:23,160 --> 00:08:26,560 Speaker 1: there's so much there. It's like every new draft, I'm 149 00:08:26,600 --> 00:08:30,440 Speaker 1: like wow, wow, wow. And I'm somebody who studies and 150 00:08:30,480 --> 00:08:36,760 Speaker 1: works on Facebook and the harm that they that they perpetuate. Right, 151 00:08:37,120 --> 00:08:40,920 Speaker 1: it did seem to be like oh wait and what 152 00:08:40,760 --> 00:08:46,079 Speaker 1: and what now? And it's interesting to me because I 153 00:08:46,120 --> 00:08:50,440 Speaker 1: think we've talked about on the show, but just in 154 00:08:50,600 --> 00:08:53,000 Speaker 1: society in general, it's interesting to me when we make 155 00:08:53,040 --> 00:08:58,959 Speaker 1: these jokes, but why are we accepting this as the reality. 156 00:08:59,000 --> 00:09:00,880 Speaker 1: But one is, you know, face book is this place 157 00:09:00,960 --> 00:09:04,480 Speaker 1: where it is harmful and you're gonna get like your 158 00:09:04,720 --> 00:09:08,800 Speaker 1: weird uncle giving you some strange conspiracy theory. We're just like, yeah, 159 00:09:08,840 --> 00:09:11,760 Speaker 1: that's cool, that's what Facebook is. The powers that be 160 00:09:11,960 --> 00:09:14,640 Speaker 1: were so like, yeah, you know, it doesn't really matter 161 00:09:14,679 --> 00:09:17,199 Speaker 1: because like you said that, these issues that are impacting 162 00:09:17,320 --> 00:09:19,880 Speaker 1: teen girls in this case are just seen as sort 163 00:09:19,880 --> 00:09:23,960 Speaker 1: of frivolous or like they're being emotional, like it's just 164 00:09:24,360 --> 00:09:29,439 Speaker 1: social media, what's the big deal? Right? Yeah, But apparently 165 00:09:29,920 --> 00:09:32,959 Speaker 1: it is a big deal and it has been making 166 00:09:32,960 --> 00:09:36,880 Speaker 1: an impact. And Facebook did this, they knew it, and 167 00:09:36,920 --> 00:09:43,600 Speaker 1: they kept going on with their platform and they tried 168 00:09:43,640 --> 00:09:45,520 Speaker 1: to hide it. But now that it's come out, like 169 00:09:48,679 --> 00:09:53,360 Speaker 1: heavy sigh every side. So can you talk about the 170 00:09:53,480 --> 00:09:58,200 Speaker 1: scope of the issue here, Yes, So, as you said, 171 00:09:58,240 --> 00:10:00,640 Speaker 1: I mean, like something to know is that even though 172 00:10:00,679 --> 00:10:02,400 Speaker 1: we're all talking about it and it's in the news, 173 00:10:02,440 --> 00:10:05,000 Speaker 1: a lot of this information is really not new except 174 00:10:05,040 --> 00:10:08,800 Speaker 1: that we've known from prior research or um just from 175 00:10:08,840 --> 00:10:11,440 Speaker 1: like being a casual user of the platform. If you're 176 00:10:11,440 --> 00:10:15,160 Speaker 1: a casual user of Facebook, even you probably might have suspected, like, oh, 177 00:10:15,240 --> 00:10:19,040 Speaker 1: Facebook might be making money off of causing harm, and 178 00:10:19,080 --> 00:10:21,240 Speaker 1: so this is really not surprising. But exactly as you 179 00:10:21,280 --> 00:10:23,920 Speaker 1: put it, I think why this is news right now 180 00:10:24,040 --> 00:10:27,320 Speaker 1: is that we're getting an insight into how much Facebook 181 00:10:27,360 --> 00:10:30,920 Speaker 1: already knew about the harm that their platform causes in 182 00:10:30,960 --> 00:10:33,439 Speaker 1: our society and how much they're trying to sort of 183 00:10:33,480 --> 00:10:35,640 Speaker 1: downplay it. And so another reason why we know that 184 00:10:35,679 --> 00:10:37,640 Speaker 1: this is not a new issue is that there have 185 00:10:37,720 --> 00:10:41,079 Speaker 1: been Facebook listle blowers in the past. So Fiesang, she's 186 00:10:41,120 --> 00:10:45,119 Speaker 1: a former Facebook data scientist who uncovered abusive political manipulation 187 00:10:45,240 --> 00:10:48,600 Speaker 1: using fake engagement. UM she found a series of multiple 188 00:10:48,640 --> 00:10:51,960 Speaker 1: blatant attempts by foreign national governments to abuse the platform 189 00:10:52,000 --> 00:10:54,920 Speaker 1: on vast scales to mislead their own citizen read which 190 00:10:54,920 --> 00:10:58,320 Speaker 1: calls international news on multiple occasions. That starts from her report. 191 00:10:58,440 --> 00:11:00,640 Speaker 1: The summary of that is basically the light you know, 192 00:11:00,679 --> 00:11:05,160 Speaker 1: accounts belonging to government leaders, we're using fake accounts to 193 00:11:05,280 --> 00:11:07,240 Speaker 1: engage with their content to make it look like it's 194 00:11:07,280 --> 00:11:09,040 Speaker 1: more popular than it is. So if I if I'm 195 00:11:09,040 --> 00:11:11,640 Speaker 1: a government leader and I put out like we have 196 00:11:11,760 --> 00:11:13,120 Speaker 1: plans to do this, and then I have a bunch 197 00:11:13,120 --> 00:11:15,200 Speaker 1: of fake accounts who were like, yes, we love this plan, 198 00:11:15,320 --> 00:11:17,480 Speaker 1: we love this plan, we love this plan. It's like 199 00:11:17,760 --> 00:11:21,480 Speaker 1: building fake agreement for your policies. And so essentially that's 200 00:11:21,480 --> 00:11:25,280 Speaker 1: what soap easying uncovered. And you know, Facebook has been 201 00:11:25,320 --> 00:11:28,640 Speaker 1: allowing and profiting all of these harmful practices forever. So 202 00:11:28,679 --> 00:11:31,320 Speaker 1: this is really not new. And I always like to 203 00:11:31,320 --> 00:11:35,440 Speaker 1: remind people that Facebook started because Mark Zuckerberg, when he 204 00:11:35,520 --> 00:11:39,960 Speaker 1: was in college, created a website called face Smash, which 205 00:11:40,320 --> 00:11:44,280 Speaker 1: basically was like like a way to rank the attractiveness 206 00:11:44,320 --> 00:11:48,720 Speaker 1: of his female co students, right, and so misogyny and 207 00:11:48,840 --> 00:11:52,200 Speaker 1: attacks on women and harm against women. This is like 208 00:11:52,400 --> 00:11:55,320 Speaker 1: not a mistake. It is baked into these platforms like 209 00:11:55,360 --> 00:11:58,640 Speaker 1: Facebook from the very beginning. Zuckerberg will tell you like, oh, 210 00:11:58,679 --> 00:12:00,960 Speaker 1: that's not true, that's not true. Like I happened to 211 00:12:01,000 --> 00:12:04,080 Speaker 1: build a website called facemash that was shut down, and 212 00:12:04,120 --> 00:12:06,920 Speaker 1: then a few months later created a website that was 213 00:12:07,000 --> 00:12:10,800 Speaker 1: pretty much the same thing called Facebook. Those are unrelated. Obviously, 214 00:12:10,840 --> 00:12:13,280 Speaker 1: that's not true, but that's what he would tell you. Um, 215 00:12:13,280 --> 00:12:16,559 Speaker 1: And so yeah, the fact that that websites and platforms 216 00:12:16,559 --> 00:12:19,880 Speaker 1: like Facebook are harmful to young women should not be 217 00:12:19,920 --> 00:12:23,600 Speaker 1: a surprise because in fact, they were created on that harm. 218 00:12:23,679 --> 00:12:25,480 Speaker 1: Like that is a big part of why they exist 219 00:12:25,559 --> 00:12:29,920 Speaker 1: in the first place. And reading this this expose, it 220 00:12:29,960 --> 00:12:33,480 Speaker 1: really gets into the harm that Facebook has done in 221 00:12:33,559 --> 00:12:36,840 Speaker 1: terms of team girls and young women. So trigger warning. Um, 222 00:12:36,880 --> 00:12:40,079 Speaker 1: you know this talks about eating disorders, suicide, depression, and 223 00:12:40,120 --> 00:12:42,960 Speaker 1: so that's something that is tough for you to hear about. Unfortunately, 224 00:12:43,240 --> 00:12:46,080 Speaker 1: that's a lot of what is going on. And you know, 225 00:12:46,200 --> 00:12:50,200 Speaker 1: this is really something that is sort of personal to 226 00:12:50,240 --> 00:12:52,960 Speaker 1: me because you know, I love the Internet. I love 227 00:12:53,000 --> 00:12:55,280 Speaker 1: being online and I always have and when I first 228 00:12:55,320 --> 00:12:58,040 Speaker 1: got on the Internet. Like I'm old, so this was 229 00:12:58,080 --> 00:13:01,440 Speaker 1: the late nineties. I had so many different kinds of experiences. 230 00:13:01,480 --> 00:13:03,720 Speaker 1: Some of them were negative, you know, I was definitely 231 00:13:03,720 --> 00:13:06,240 Speaker 1: in chat rooms doing stuff I shouldn't have been doing 232 00:13:06,679 --> 00:13:09,160 Speaker 1: when I was young, But some of them were also 233 00:13:09,360 --> 00:13:12,960 Speaker 1: incredibly like liberating and self affirming, Like if not for 234 00:13:13,280 --> 00:13:16,200 Speaker 1: having the Internet in my in my bedroom and my 235 00:13:16,280 --> 00:13:20,000 Speaker 1: like small Virginia town, I wouldn't have known that I 236 00:13:20,040 --> 00:13:22,600 Speaker 1: was like that I'm queer, I wouldn't have known, like 237 00:13:22,640 --> 00:13:24,520 Speaker 1: I don't know that I would be doing what I'm 238 00:13:24,559 --> 00:13:26,920 Speaker 1: doing today, or like even living the life that I 239 00:13:26,920 --> 00:13:29,320 Speaker 1: am living today, like that, like the Internet is what 240 00:13:29,440 --> 00:13:32,840 Speaker 1: allowed me to see myself and fully become myself as 241 00:13:32,880 --> 00:13:37,160 Speaker 1: an adult. And I keep thinking like this was and 242 00:13:37,200 --> 00:13:41,240 Speaker 1: so there they're the ecosystem did not exist to have 243 00:13:41,400 --> 00:13:45,960 Speaker 1: billionaires making money profiting off of my negative experiences and 244 00:13:46,040 --> 00:13:48,600 Speaker 1: negative feelings. And I don't think I would have been 245 00:13:48,640 --> 00:13:51,120 Speaker 1: able to use the Internet as this tool of self 246 00:13:51,160 --> 00:13:54,400 Speaker 1: discovery and self affirmation had that been the case. And 247 00:13:54,440 --> 00:13:57,320 Speaker 1: I really do think that like the younger generation, they 248 00:13:57,360 --> 00:13:59,920 Speaker 1: deserve to have an allline experience is not a mark 249 00:14:00,040 --> 00:14:03,360 Speaker 1: rket place for their pain for their negative feelings, and 250 00:14:03,400 --> 00:14:07,160 Speaker 1: it does not incentivize them to to be the worst 251 00:14:07,280 --> 00:14:09,839 Speaker 1: versions of themselves. And I'm really lucky that I came 252 00:14:09,880 --> 00:14:11,839 Speaker 1: of age when I did, when when there wasn't a 253 00:14:11,920 --> 00:14:15,319 Speaker 1: marketplace for my pain as a young girl. But today's generation, 254 00:14:15,520 --> 00:14:30,640 Speaker 1: as these leaks really really demonstrate, is really not so lucky. 255 00:14:32,080 --> 00:14:34,800 Speaker 1: I know we've talked before about things like spawn Con 256 00:14:35,000 --> 00:14:38,960 Speaker 1: and how these big celebrities, usually women in this case, 257 00:14:39,160 --> 00:14:42,080 Speaker 1: will you know, try to sell these items that are 258 00:14:42,120 --> 00:14:46,640 Speaker 1: all about being thin usually and what I'm thinking of 259 00:14:46,760 --> 00:14:49,680 Speaker 1: and if I had been young and I had seen that, 260 00:14:50,880 --> 00:14:53,640 Speaker 1: and it's like all these challenges people have about being 261 00:14:53,640 --> 00:14:56,800 Speaker 1: super thin like that, I know for a fact that 262 00:14:56,840 --> 00:15:00,120 Speaker 1: would have impacted me. That would have been something that 263 00:15:00,160 --> 00:15:02,080 Speaker 1: I would have thought, Okay, this is normal. I need 264 00:15:02,120 --> 00:15:03,520 Speaker 1: to try to do that, I need to look a 265 00:15:03,560 --> 00:15:07,440 Speaker 1: certain way. And those messages were already strong without I 266 00:15:07,560 --> 00:15:11,560 Speaker 1: just know for certain that it would And I am 267 00:15:11,680 --> 00:15:15,600 Speaker 1: someone who I the internet is. I love the Internet. 268 00:15:15,640 --> 00:15:17,480 Speaker 1: I think it's beautiful place for a lot of things. 269 00:15:17,560 --> 00:15:21,320 Speaker 1: And I know when this Facebook outage happened, people were like, well, 270 00:15:21,560 --> 00:15:25,440 Speaker 1: you know, on one hand, celebrating, but we should also remember, 271 00:15:25,520 --> 00:15:27,720 Speaker 1: like you know, marginalized people who connect that way, and 272 00:15:27,760 --> 00:15:31,360 Speaker 1: also businesses that run that way, all these things. But 273 00:15:32,520 --> 00:15:37,280 Speaker 1: it just has become so for me, like I'm going 274 00:15:37,360 --> 00:15:40,880 Speaker 1: to feel bad about myself if I engage in this. 275 00:15:41,440 --> 00:15:44,440 Speaker 1: It's such a weird dichotomy to me because there's this 276 00:15:44,600 --> 00:15:47,880 Speaker 1: one group of you see things that I really wish 277 00:15:47,880 --> 00:15:49,920 Speaker 1: I had seen as a kid. Like, so we're talking 278 00:15:49,960 --> 00:15:53,920 Speaker 1: about people being able to spind themselves and not realizing 279 00:15:54,080 --> 00:15:57,200 Speaker 1: maybe there is a reason why you are this way. 280 00:15:57,480 --> 00:15:59,680 Speaker 1: Maybe that doesn't make sense that you're home, but there's 281 00:15:59,680 --> 00:16:01,920 Speaker 1: a com unity out there that can see you, that 282 00:16:02,040 --> 00:16:04,520 Speaker 1: knows you and and feels what you feel. But at 283 00:16:04,520 --> 00:16:08,200 Speaker 1: the same time, you have this other aspect of this untruth. 284 00:16:08,280 --> 00:16:12,320 Speaker 1: But like you're talking about this fake persona of happiness 285 00:16:12,360 --> 00:16:15,640 Speaker 1: that doesn't truly exist, and therefore if you haven't reached that, 286 00:16:15,880 --> 00:16:17,680 Speaker 1: or if you don't try to reach that, then you 287 00:16:17,720 --> 00:16:22,080 Speaker 1: have failed. So these two like vast differences is such 288 00:16:22,120 --> 00:16:24,600 Speaker 1: a heartbreak to me because I'm like, yes, this is good, 289 00:16:24,840 --> 00:16:26,760 Speaker 1: but this is not good. So where do we fall 290 00:16:26,800 --> 00:16:29,320 Speaker 1: on this line? Because I'm not gonna lie. It wasn't 291 00:16:29,360 --> 00:16:32,360 Speaker 1: until after that I saw all the notifications that all 292 00:16:32,400 --> 00:16:34,520 Speaker 1: these things were down that I realized it was even down. 293 00:16:34,560 --> 00:16:37,280 Speaker 1: I was like, Oh, is that what happened? Okay, well 294 00:16:37,320 --> 00:16:41,080 Speaker 1: I just assumed me being me, my technology wasn't up 295 00:16:41,080 --> 00:16:43,520 Speaker 1: and going. So I moved on to whatever the next 296 00:16:43,560 --> 00:16:46,520 Speaker 1: thing was. But this conversation that we have when we 297 00:16:46,560 --> 00:16:49,160 Speaker 1: see how much of an influence and that is the influence. 298 00:16:49,200 --> 00:16:52,000 Speaker 1: There's no real middle ground, especially when we talk about 299 00:16:52,240 --> 00:16:55,640 Speaker 1: the younger generations about they're going to be influenced, whether 300 00:16:55,680 --> 00:16:58,360 Speaker 1: it's the positive side that they're on or the negative 301 00:16:58,400 --> 00:17:00,720 Speaker 1: side that they're on. They're on one of them. And 302 00:17:00,760 --> 00:17:04,200 Speaker 1: I couldn't imagine what that feels like today. And I'm 303 00:17:04,200 --> 00:17:08,440 Speaker 1: insecure as hell as an adult, so coming as an 304 00:17:08,440 --> 00:17:11,840 Speaker 1: attain trying to really figure out who they are and 305 00:17:11,840 --> 00:17:15,239 Speaker 1: and feeling like maybe their their home life isn't what 306 00:17:15,320 --> 00:17:17,400 Speaker 1: they want or what they need or is not healthy, 307 00:17:17,560 --> 00:17:19,919 Speaker 1: and then having to go to the spot to the 308 00:17:20,000 --> 00:17:23,520 Speaker 1: space and you don't know what's safe anymore. And I 309 00:17:23,560 --> 00:17:25,600 Speaker 1: think about that with my nieces and nephew that I'm like, 310 00:17:25,800 --> 00:17:27,640 Speaker 1: oh my god, this is what they're growing up with. 311 00:17:28,160 --> 00:17:31,560 Speaker 1: And I see that level of like how do we 312 00:17:31,600 --> 00:17:34,120 Speaker 1: help them, but at the same time not try to 313 00:17:34,160 --> 00:17:36,240 Speaker 1: pull them away from the world, make them naive and 314 00:17:36,359 --> 00:17:39,640 Speaker 1: not be a part of the world. Such a weird thing. Yeah, 315 00:17:39,720 --> 00:17:43,679 Speaker 1: I mean, you just articulated such a tension that I 316 00:17:43,720 --> 00:17:47,240 Speaker 1: feel as someone who loves social media uses social media, 317 00:17:47,560 --> 00:17:51,360 Speaker 1: but it's really clearer about these downfalls and these negative 318 00:17:51,359 --> 00:17:55,159 Speaker 1: aspects of it. It can be used to find community, 319 00:17:55,440 --> 00:17:58,960 Speaker 1: feel less alone, you know, build movements, but it can 320 00:17:59,000 --> 00:18:02,520 Speaker 1: also be used in these incredibly damaging and negative ways. 321 00:18:02,560 --> 00:18:05,000 Speaker 1: And I think you really put it so well, Sam, 322 00:18:05,080 --> 00:18:08,600 Speaker 1: this idea of like, you know, we know from from 323 00:18:08,600 --> 00:18:11,240 Speaker 1: this leak and from the Facebook, you know, Facebook's own 324 00:18:11,240 --> 00:18:16,119 Speaker 1: words and their own data, that platforms, their algorithms really 325 00:18:16,200 --> 00:18:20,119 Speaker 1: do incentivize, you know, the negative, and so you see 326 00:18:20,160 --> 00:18:23,200 Speaker 1: more content that is polarizing or that makes you angry 327 00:18:23,280 --> 00:18:26,280 Speaker 1: or that is insidiary rather than content that is like 328 00:18:26,440 --> 00:18:29,920 Speaker 1: positive or affirming or that kind of thing. Like algorithms 329 00:18:30,119 --> 00:18:35,160 Speaker 1: prioritize the bad. And I think that young people can 330 00:18:35,240 --> 00:18:38,120 Speaker 1: have all different kinds of experiences online, some of them good, 331 00:18:38,160 --> 00:18:40,280 Speaker 1: some of them bad. But there it's a problem when 332 00:18:40,680 --> 00:18:45,120 Speaker 1: platforms incentivize the bad, right when they traffic in the bad, 333 00:18:45,119 --> 00:18:47,639 Speaker 1: when they promote and amplified the bad. So it's not 334 00:18:47,680 --> 00:18:51,320 Speaker 1: just like a neutral experience where whoever is using the 335 00:18:51,560 --> 00:18:55,280 Speaker 1: platform can decide if they want to gravitate toward experiences 336 00:18:55,280 --> 00:18:57,399 Speaker 1: online that are going to be affirming and good and 337 00:18:57,520 --> 00:19:00,639 Speaker 1: you know all of that stuff or bad, extreme and 338 00:19:00,680 --> 00:19:04,320 Speaker 1: insidiary and polarizing when you have an algorithm that is 339 00:19:04,400 --> 00:19:07,040 Speaker 1: prioritizing one over the other, which we know that they are, 340 00:19:07,440 --> 00:19:10,280 Speaker 1: and you know it's it's in putting together the research 341 00:19:10,320 --> 00:19:13,000 Speaker 1: for this episode. You know, I'm an adult, right, I 342 00:19:13,040 --> 00:19:17,240 Speaker 1: am a fully grown person, and I struggle with insecurity. 343 00:19:17,359 --> 00:19:20,800 Speaker 1: I struggle with, you know, self image. I struggle with 344 00:19:21,080 --> 00:19:23,960 Speaker 1: comparing myself to my peers. I struggle with all of 345 00:19:24,000 --> 00:19:27,320 Speaker 1: that stuff. And I'm a fairly like confident, secure person 346 00:19:27,880 --> 00:19:32,040 Speaker 1: when I was younger. I am so lucky that social 347 00:19:32,040 --> 00:19:34,119 Speaker 1: media wasn't the way that it was now when I 348 00:19:34,160 --> 00:19:37,359 Speaker 1: was younger, Like any you were just saying, like, I 349 00:19:37,400 --> 00:19:39,240 Speaker 1: know that that would have really been hard for me. 350 00:19:39,280 --> 00:19:41,080 Speaker 1: I know that I would have struggled. I know that 351 00:19:41,720 --> 00:19:43,360 Speaker 1: that that it just would have been a bad time. 352 00:19:43,400 --> 00:19:45,320 Speaker 1: It would not the internet would not have been a 353 00:19:45,359 --> 00:19:47,560 Speaker 1: place of self discovery. It would have been a place 354 00:19:47,560 --> 00:19:49,879 Speaker 1: where I went to think about all the ways that 355 00:19:49,920 --> 00:19:53,200 Speaker 1: I didn't measure up. And it makes me so sad 356 00:19:53,320 --> 00:19:56,720 Speaker 1: that that is exactly the experience that we are allowing 357 00:19:56,960 --> 00:19:59,440 Speaker 1: for young people today, Like that is just like their 358 00:19:59,480 --> 00:20:04,959 Speaker 1: experience of being online is one of you know, feeling 359 00:20:05,000 --> 00:20:08,520 Speaker 1: bad about themselves and I hate that. I hate that 360 00:20:08,600 --> 00:20:11,400 Speaker 1: for them. They deserve they deserve so much better, right, 361 00:20:11,520 --> 00:20:14,760 Speaker 1: And you know, as a person who again we've talked 362 00:20:14,760 --> 00:20:17,359 Speaker 1: about this is like being on the inside to see 363 00:20:17,600 --> 00:20:20,960 Speaker 1: what that damage can do. Being a part of a 364 00:20:21,119 --> 00:20:25,880 Speaker 1: workforce that worked with at risk teams trying to hold 365 00:20:25,880 --> 00:20:29,359 Speaker 1: people accountable, I can't imagine. So we have some of 366 00:20:29,359 --> 00:20:32,159 Speaker 1: these leaked documents that I know, and I've seen a 367 00:20:32,240 --> 00:20:35,679 Speaker 1: few tweets and articles talking about how these women specifically 368 00:20:35,840 --> 00:20:38,480 Speaker 1: have felt threatened and are feeling at this point even 369 00:20:38,640 --> 00:20:41,000 Speaker 1: now like oh this is dangerous. I've come to dangerous 370 00:20:41,000 --> 00:20:44,520 Speaker 1: grounds that with this happening internally, people have had to 371 00:20:44,600 --> 00:20:47,200 Speaker 1: know how has this allowed to happen? What are they 372 00:20:47,240 --> 00:20:50,679 Speaker 1: saying inside of this company that they're like whatever, Like 373 00:20:50,760 --> 00:20:53,840 Speaker 1: how are they even trying to frame this? Yes, so 374 00:20:54,000 --> 00:20:55,800 Speaker 1: let's get into that. So one thing to note is 375 00:20:55,840 --> 00:20:58,720 Speaker 1: that a lot of this pertains to Instagram, but it's 376 00:20:58,720 --> 00:21:01,480 Speaker 1: important to note that Facebook owns Instagram. They take a 377 00:21:01,480 --> 00:21:03,560 Speaker 1: lot of steps to try to conceal that fact, but 378 00:21:03,600 --> 00:21:05,720 Speaker 1: they're the same company. And so here's some of the 379 00:21:05,760 --> 00:21:08,600 Speaker 1: findings from the Wall Street Journal expose a Since at 380 00:21:08,640 --> 00:21:10,960 Speaker 1: least twenty nineteen, Facebook has been studying the impact of 381 00:21:11,000 --> 00:21:14,399 Speaker 1: its platform on younger users. Their research has repeatedly found 382 00:21:14,400 --> 00:21:17,119 Speaker 1: that it is harmful to a large portion, especially teen girls. 383 00:21:17,359 --> 00:21:19,919 Speaker 1: Here's a direct quote from a slide from an internal 384 00:21:19,960 --> 00:21:23,399 Speaker 1: Facebook presentation in twenty nineteen. We make body image issues 385 00:21:23,440 --> 00:21:27,359 Speaker 1: worse for one in three teen girls. In another presentation, 386 00:21:27,400 --> 00:21:31,479 Speaker 1: they internally said of teen girls said that when they 387 00:21:31,520 --> 00:21:34,399 Speaker 1: felt bad about their bodies, Instagram made them feel worse. 388 00:21:35,080 --> 00:21:38,679 Speaker 1: Another side said teens blame Instagram for increases in the 389 00:21:38,760 --> 00:21:42,320 Speaker 1: rate of anxiety and depression. They feel the reaction was 390 00:21:42,400 --> 00:21:45,800 Speaker 1: unprompted and consistent across all groups. And another leak study 391 00:21:45,800 --> 00:21:48,560 Speaker 1: found that seventeen percent of teen girls say they're eating 392 00:21:48,560 --> 00:21:52,320 Speaker 1: disorders got worse after using Instagram. And you know, so 393 00:21:52,359 --> 00:21:55,520 Speaker 1: this is from their own internal documents and the stuff 394 00:21:55,560 --> 00:21:57,040 Speaker 1: that they knew that they talked about with each other. 395 00:21:57,240 --> 00:22:00,800 Speaker 1: Facebook also internally is aware of the link between their 396 00:22:00,840 --> 00:22:03,520 Speaker 1: platform and things like the pression and suicide according to 397 00:22:03,560 --> 00:22:07,920 Speaker 1: their internal studies of users who reported suicidal thoughts in 398 00:22:07,960 --> 00:22:10,439 Speaker 1: the UK and six percent in the US traced them 399 00:22:10,480 --> 00:22:13,280 Speaker 1: back to Instagram. Another trans Atlantic study found that more 400 00:22:13,320 --> 00:22:16,960 Speaker 1: than Instagram users who reported feeling unattractive said that they 401 00:22:17,000 --> 00:22:19,960 Speaker 1: began feeling that way on Instagram, and about a quarter 402 00:22:20,000 --> 00:22:22,440 Speaker 1: of the teenagers who reported feeling not good enough said 403 00:22:22,440 --> 00:22:25,679 Speaker 1: it started on Instagram. And again, this is not really 404 00:22:26,280 --> 00:22:30,399 Speaker 1: like news news, because studies have been showing that Instagram 405 00:22:30,520 --> 00:22:33,600 Speaker 1: is like the most negative platform for teams for a while. 406 00:22:33,800 --> 00:22:35,960 Speaker 1: In twenties seventeen, a studied by Young Minds and the 407 00:22:36,040 --> 00:22:39,120 Speaker 1: Royal Society for Public Health showed that Instagram had the 408 00:22:39,160 --> 00:22:42,000 Speaker 1: most negative impact on young people's mental health of all 409 00:22:42,040 --> 00:22:44,960 Speaker 1: the social media networks. And you know, if you're thinking 410 00:22:45,000 --> 00:22:46,760 Speaker 1: something like, oh, well, maybe this is just a social 411 00:22:46,760 --> 00:22:51,160 Speaker 1: media problem, maybe all social media platforms are bad. You know, yes, 412 00:22:51,320 --> 00:22:54,720 Speaker 1: all social media platforms have their negative aspects, but these 413 00:22:54,760 --> 00:22:58,879 Speaker 1: findings were specific to Instagram. And so that's really because 414 00:22:59,000 --> 00:23:02,359 Speaker 1: Instagram is one of the only platforms that really sort 415 00:23:02,359 --> 00:23:06,760 Speaker 1: of encourages what Facebook calls quote social comparison. And so 416 00:23:07,200 --> 00:23:10,880 Speaker 1: it's this thing where it's like you are feeling pressure 417 00:23:10,920 --> 00:23:13,760 Speaker 1: to compare your life to someone else, And so think 418 00:23:13,760 --> 00:23:16,800 Speaker 1: about a platform like TikTok, right, Like that's a platform 419 00:23:16,840 --> 00:23:20,560 Speaker 1: that is really kind of performance based, right, it does 420 00:23:20,600 --> 00:23:24,840 Speaker 1: not invite comparison the way that Instagram does. And so again, 421 00:23:24,920 --> 00:23:27,560 Speaker 1: like I have definitely had times where I wake up 422 00:23:27,600 --> 00:23:31,120 Speaker 1: and I scroll Instagram and I see all my peers 423 00:23:31,160 --> 00:23:35,359 Speaker 1: and they're seemingly perfect lives and I put my phone 424 00:23:35,400 --> 00:23:38,520 Speaker 1: down and I feel like crap. You know, even as 425 00:23:38,560 --> 00:23:41,280 Speaker 1: an adult, it's so easy to succumb to this pressure 426 00:23:41,600 --> 00:23:43,400 Speaker 1: that you have to be perfect and have to show 427 00:23:43,440 --> 00:23:45,720 Speaker 1: your best moments. But I think especially for young people 428 00:23:45,720 --> 00:23:48,399 Speaker 1: who are so impressionable, you know, it can really morph 429 00:23:48,480 --> 00:23:51,560 Speaker 1: into things like depression, self esteem, eating issues, food issues, 430 00:23:51,600 --> 00:23:54,439 Speaker 1: And we should not just be accepting that, Like that 431 00:23:54,480 --> 00:23:57,960 Speaker 1: should that just be like the cost of those young 432 00:23:58,000 --> 00:24:00,879 Speaker 1: people being on social media. It should be imperative to 433 00:24:00,920 --> 00:24:04,040 Speaker 1: create a social media experience that does not profit off 434 00:24:04,040 --> 00:24:07,639 Speaker 1: of these terrible harms. Our children are kids, right, And 435 00:24:07,680 --> 00:24:09,800 Speaker 1: I'm not gonna lie. It makes me want to scream, like, 436 00:24:10,000 --> 00:24:13,520 Speaker 1: what's the point of doing all this research? Obviously they 437 00:24:13,560 --> 00:24:16,560 Speaker 1: wanted to know, but they haven't really fixed anything. They 438 00:24:16,560 --> 00:24:19,600 Speaker 1: haven't helped anything. As in fact, when we talk about 439 00:24:19,960 --> 00:24:22,399 Speaker 1: the spawn con, the whole idea is like they bring 440 00:24:22,440 --> 00:24:25,800 Speaker 1: on people, they sponsored, people who make it look easy, 441 00:24:26,280 --> 00:24:29,080 Speaker 1: and it takes incredibly hard to tell what's real and 442 00:24:29,119 --> 00:24:31,639 Speaker 1: what's not because half the things is like this is 443 00:24:31,680 --> 00:24:35,800 Speaker 1: definitely add but is it? Because they push it forward 444 00:24:35,920 --> 00:24:40,000 Speaker 1: and say, this is the ideal situation. These people's lives 445 00:24:40,119 --> 00:24:42,840 Speaker 1: is what you should seek, and therefore we're going to 446 00:24:42,920 --> 00:24:45,639 Speaker 1: give you some help by you can allowing you to 447 00:24:45,680 --> 00:24:48,440 Speaker 1: buy these things to meet that standard. It's such a 448 00:24:48,480 --> 00:24:51,160 Speaker 1: weird thing because they pushed this is a part of 449 00:24:51,200 --> 00:24:55,359 Speaker 1: their narrative. Oh absolutely, Like the expose, they showed these 450 00:24:55,440 --> 00:24:59,320 Speaker 1: internal like slack conversations and um whatever the Facebook internal 451 00:24:59,400 --> 00:25:01,560 Speaker 1: Slack version of slack as I can't remember what it is. 452 00:25:01,600 --> 00:25:05,320 Speaker 1: But you have people at Facebook talking about these these 453 00:25:05,359 --> 00:25:07,960 Speaker 1: studies and these findings being like, oh, like, isn't that 454 00:25:08,040 --> 00:25:11,240 Speaker 1: the fun of Instagram? You know, comparing yourself to other 455 00:25:11,280 --> 00:25:14,480 Speaker 1: people and seeing how like the one percent of like 456 00:25:14,760 --> 00:25:17,800 Speaker 1: really hot people live. Like you know, I thought that 457 00:25:17,840 --> 00:25:20,120 Speaker 1: was like the whole point and the way that they 458 00:25:20,160 --> 00:25:23,159 Speaker 1: talk so callously about it, like oh yeah, isn't that 459 00:25:23,200 --> 00:25:27,920 Speaker 1: what people want from our platform too, constantly be comparing 460 00:25:27,920 --> 00:25:33,920 Speaker 1: themselves to unattainable error, brushed, filtered versions of the reality 461 00:25:34,000 --> 00:25:37,439 Speaker 1: that could not possibly exist, you know, and just like 462 00:25:37,480 --> 00:25:40,199 Speaker 1: they're their inability to see how harmful that would be. 463 00:25:40,280 --> 00:25:43,359 Speaker 1: You know. I remember when I first realized how often 464 00:25:43,440 --> 00:25:46,960 Speaker 1: people are using filters and face tune and things like 465 00:25:46,960 --> 00:25:48,680 Speaker 1: that on their pictures, because I would see these women 466 00:25:48,720 --> 00:25:50,520 Speaker 1: where it's like, how is it possible to have a 467 00:25:50,560 --> 00:25:54,199 Speaker 1: waste that thin and a butt that nice? Like how 468 00:25:54,240 --> 00:25:56,240 Speaker 1: are you? How are you standing up and walking around 469 00:25:56,280 --> 00:25:59,280 Speaker 1: without falling over? It doesn't make sense? And I was like, oh, 470 00:25:59,440 --> 00:26:02,679 Speaker 1: it does. It's not real, actually look that way. And 471 00:26:02,760 --> 00:26:04,520 Speaker 1: let's not talk about the fact that most of these 472 00:26:04,520 --> 00:26:08,000 Speaker 1: people are white women are white community, and so let's 473 00:26:08,040 --> 00:26:10,920 Speaker 1: talk about being a person of color, really being ashamed 474 00:26:10,920 --> 00:26:13,239 Speaker 1: of being a person of color, and realizing, oh, it's 475 00:26:13,280 --> 00:26:17,119 Speaker 1: still the standard to be white, to be small, to 476 00:26:17,200 --> 00:26:19,720 Speaker 1: be you know, young, this is the standard that we 477 00:26:19,840 --> 00:26:22,520 Speaker 1: should be attaining. To thank you one more time of 478 00:26:23,080 --> 00:26:25,879 Speaker 1: something that I can't change and be absolutely isn't it 479 00:26:25,960 --> 00:26:29,160 Speaker 1: interesting that when you use what platforms called beauty filter 480 00:26:29,960 --> 00:26:33,919 Speaker 1: on a non white face, the beauty filter pretty much 481 00:26:33,920 --> 00:26:36,359 Speaker 1: translates to like, oh, you made your lips and nose thinner, 482 00:26:36,760 --> 00:26:38,560 Speaker 1: basically made you look white, and it's like, oh, well, 483 00:26:38,600 --> 00:26:40,480 Speaker 1: so what are you trying to say? Like what is 484 00:26:40,560 --> 00:26:42,600 Speaker 1: really what are you trying to say? And I don't know. 485 00:26:42,840 --> 00:26:44,280 Speaker 1: I'm I have a feeling you and I are in 486 00:26:44,320 --> 00:26:47,240 Speaker 1: the same boat because oftentimes these filters are like nothing changed. 487 00:26:47,280 --> 00:26:50,960 Speaker 1: I don't understand what's happening. You can't lighten my dark 488 00:26:51,000 --> 00:26:54,280 Speaker 1: brown eyes to be blue on what is this and 489 00:26:54,359 --> 00:26:56,760 Speaker 1: literally being confused about how they look that way? And 490 00:26:56,800 --> 00:27:00,280 Speaker 1: I was like, oh, these are for white people, Okay, 491 00:27:00,960 --> 00:27:02,800 Speaker 1: I mean, and that's that's kind of like not to 492 00:27:02,840 --> 00:27:05,640 Speaker 1: go off on a tangent, but like even that concept 493 00:27:05,720 --> 00:27:08,760 Speaker 1: alone is so harmful in tech, and it's so common. 494 00:27:08,840 --> 00:27:10,840 Speaker 1: Like they just came out with a new iPhone a 495 00:27:10,880 --> 00:27:14,000 Speaker 1: couple of weeks ago, and there are people I don't 496 00:27:14,000 --> 00:27:17,119 Speaker 1: have it. I still have my old jankie, earlier model iPhone, 497 00:27:17,160 --> 00:27:19,719 Speaker 1: but apparently this is the first camera that can actually 498 00:27:19,800 --> 00:27:22,960 Speaker 1: take decent pictures of people with darker skin, and part 499 00:27:23,000 --> 00:27:24,399 Speaker 1: of me it's like iPhone has been ounce since what 500 00:27:24,480 --> 00:27:26,760 Speaker 1: two past and seven, and you'll finally realize that people 501 00:27:26,960 --> 00:27:30,320 Speaker 1: who are not white exist and for so long, if 502 00:27:30,359 --> 00:27:33,280 Speaker 1: you were somebody who didn't have like light skin, to 503 00:27:33,359 --> 00:27:35,520 Speaker 1: get a decent picture of yourself on an iPhone, you 504 00:27:35,560 --> 00:27:38,119 Speaker 1: had to be meticulous about your lighting and your angles, 505 00:27:38,119 --> 00:27:39,840 Speaker 1: and if you weren't, you came out like a shadow 506 00:27:39,920 --> 00:27:43,320 Speaker 1: blob monster. And it's like, Wow, finally, after all these years, 507 00:27:43,480 --> 00:27:45,879 Speaker 1: y'all have developed a technology that can just take my 508 00:27:46,000 --> 00:27:50,199 Speaker 1: photo and have it not looked wild. So I can't imagine, 509 00:27:50,240 --> 00:27:52,760 Speaker 1: and I have a feeling that if we looked at 510 00:27:52,800 --> 00:27:56,920 Speaker 1: the percentage of young teens of color, the numbers would 511 00:27:56,920 --> 00:28:00,560 Speaker 1: be higher for those who are completely marginal allied in 512 00:28:00,600 --> 00:28:04,480 Speaker 1: that within that community of seeing like, oh, I really 513 00:28:04,520 --> 00:28:07,680 Speaker 1: wish that I was not my ethnicity, you know, just 514 00:28:07,680 --> 00:28:12,400 Speaker 1: just being going beyond that that how uh yeah, Facebook 515 00:28:12,520 --> 00:28:15,840 Speaker 1: is racist, Like, let's just add that to the caveat 516 00:28:15,880 --> 00:28:18,480 Speaker 1: of not only are these sexes, not only are they 517 00:28:18,560 --> 00:28:20,560 Speaker 1: of fat, shame made, not only do they have all 518 00:28:20,600 --> 00:28:22,360 Speaker 1: of these things, but yeah, they are racist as well 519 00:28:22,400 --> 00:28:25,600 Speaker 1: because they have again the standard of the white man 520 00:28:25,840 --> 00:28:29,679 Speaker 1: who yeah, to me, he is the villain in this story. 521 00:28:30,240 --> 00:28:32,680 Speaker 1: Oh my god, Marcus Zuckerberg is the villain. But also 522 00:28:32,800 --> 00:28:36,760 Speaker 1: it's it's he's the villain, but also Cheryl Sandberg, Like 523 00:28:38,480 --> 00:28:43,440 Speaker 1: there are so many villains in this story, and I 524 00:28:43,480 --> 00:28:45,480 Speaker 1: don't know how Cheryl Sandberg has not been able to 525 00:28:45,520 --> 00:28:48,440 Speaker 1: be like the public face of villainy here. But it 526 00:28:48,520 --> 00:28:52,560 Speaker 1: really is like these people are knowingly making lots and 527 00:28:52,640 --> 00:28:56,920 Speaker 1: lots of money off of the pain and harm and 528 00:28:56,960 --> 00:29:01,120 Speaker 1: sometimes the deaths of our soil. And it's just when 529 00:29:01,120 --> 00:29:04,400 Speaker 1: I intellectualize that, it's like, how is that okay? How 530 00:29:04,600 --> 00:29:07,040 Speaker 1: how is it okay that, like people are getting rich 531 00:29:07,360 --> 00:29:11,400 Speaker 1: off of harming our kids. It's for all the different 532 00:29:11,400 --> 00:29:14,680 Speaker 1: ways that we talk about, you know, protecting children and 533 00:29:14,680 --> 00:29:17,880 Speaker 1: protecting you. It's like, here is a clear way that 534 00:29:18,000 --> 00:29:20,760 Speaker 1: our kids are being harmed and not just that people 535 00:29:20,800 --> 00:29:24,240 Speaker 1: are making money off of it, and we've just internalized that, 536 00:29:24,320 --> 00:29:27,200 Speaker 1: like that's just how it is, and it's completely unacceptable 537 00:29:27,240 --> 00:29:48,120 Speaker 1: to me. Agreed. Speaking of the villains, what are they 538 00:29:48,160 --> 00:29:52,280 Speaker 1: saying publicly? Like are they have they made any promises 539 00:29:52,320 --> 00:29:55,840 Speaker 1: of change anything at all? So this is where it 540 00:29:55,840 --> 00:29:58,920 Speaker 1: gets juicy, right, So, like all the different harmful things 541 00:29:58,920 --> 00:30:00,960 Speaker 1: that they do, we kind of knew about that before. 542 00:30:01,040 --> 00:30:03,400 Speaker 1: It's new to know that how much they knew in 543 00:30:03,520 --> 00:30:07,640 Speaker 1: terms of their harm. But they also say a completely 544 00:30:07,720 --> 00:30:11,160 Speaker 1: different thing publicly than they do internally at Facebook. And 545 00:30:11,200 --> 00:30:14,560 Speaker 1: so when Facebook's founder Mark Zuckerberg testified before Congress in March, 546 00:30:14,880 --> 00:30:17,480 Speaker 1: he said, the research that we've seen is that using 547 00:30:17,520 --> 00:30:19,959 Speaker 1: social media apps to connect with other people can have 548 00:30:20,000 --> 00:30:23,520 Speaker 1: positive mental health benefits. So all of these leaks show 549 00:30:23,920 --> 00:30:27,480 Speaker 1: he knew that wasn't true. He knew all these different 550 00:30:27,480 --> 00:30:30,720 Speaker 1: ways that his platform and his product create harm, and 551 00:30:30,760 --> 00:30:33,000 Speaker 1: he it seems to me, you know, I'm no lawyer, 552 00:30:33,360 --> 00:30:36,040 Speaker 1: it seems to me that he was actively misleading both 553 00:30:36,240 --> 00:30:40,520 Speaker 1: Congress lawmakers and the public about what he knew. And 554 00:30:40,800 --> 00:30:43,560 Speaker 1: we all know, you know, Facebook as a history of 555 00:30:43,600 --> 00:30:45,880 Speaker 1: really not being honest. Again, if I were to list 556 00:30:45,920 --> 00:30:47,840 Speaker 1: all the different examples do be here all day. But 557 00:30:48,320 --> 00:30:51,720 Speaker 1: one that I have like like personal firsthand knowledge of 558 00:30:51,800 --> 00:30:55,480 Speaker 1: is remember back in like when all these different publications 559 00:30:55,520 --> 00:30:59,920 Speaker 1: were pivoting to video, Well, basically like that was based 560 00:31:00,200 --> 00:31:07,040 Speaker 1: on Facebook really deeply exaggerating the metrics of video, and 561 00:31:07,040 --> 00:31:10,000 Speaker 1: so they were like, oh, video is the thing. Video 562 00:31:10,080 --> 00:31:12,680 Speaker 1: was getting so much more attraction than any other kind 563 00:31:12,680 --> 00:31:15,680 Speaker 1: of medium. And so at the time I worked in media, 564 00:31:15,760 --> 00:31:18,520 Speaker 1: and so many of my coworkers, so many of my 565 00:31:18,600 --> 00:31:21,600 Speaker 1: colleagues all lost their jobs at media companies because of 566 00:31:21,680 --> 00:31:26,880 Speaker 1: Facebook over inflated and exaggerated the metric of video content 567 00:31:26,920 --> 00:31:29,479 Speaker 1: on their platform. And so again I'm no lawyer, but like, 568 00:31:30,440 --> 00:31:32,520 Speaker 1: that's a lot. This would not be the first time 569 00:31:32,520 --> 00:31:36,600 Speaker 1: that Facebook has misled the public and others about what's 570 00:31:36,640 --> 00:31:39,320 Speaker 1: happening at their company, saying one thing when another thing 571 00:31:39,360 --> 00:31:41,360 Speaker 1: is actually when they know another thing to actually be true. 572 00:31:41,680 --> 00:31:45,000 Speaker 1: And I remember that time in media, like Facebook made 573 00:31:45,040 --> 00:31:49,280 Speaker 1: it so difficult to like, I left media because I 574 00:31:49,360 --> 00:31:56,200 Speaker 1: just felt like media companies were capitulating to whatever Facebook said. 575 00:31:56,200 --> 00:31:59,320 Speaker 1: And so the Facebook said, it's video. If you didn't 576 00:31:59,360 --> 00:32:01,920 Speaker 1: do video content, you basically knew that you were gonna 577 00:32:01,960 --> 00:32:04,560 Speaker 1: get fired. If Facebook said, like, we were just caring 578 00:32:04,640 --> 00:32:06,880 Speaker 1: to the whims of this massive company, and it's became 579 00:32:07,440 --> 00:32:10,480 Speaker 1: so impossible to do that work. And so, you know, 580 00:32:11,000 --> 00:32:15,480 Speaker 1: an entire generation of journalists face such instability and chaos 581 00:32:15,680 --> 00:32:19,800 Speaker 1: because Facebook misrepresented their own findings. And so, according to 582 00:32:19,880 --> 00:32:24,160 Speaker 1: Hagen's legal team, Facebook executives, including Zuckerberg, misstated and omitted 583 00:32:24,240 --> 00:32:27,160 Speaker 1: key details about what was known about Facebook's and Instagram's 584 00:32:27,160 --> 00:32:29,960 Speaker 1: ability to cause harm, and her attorneys also alleged that 585 00:32:30,080 --> 00:32:34,200 Speaker 1: Facebook violated the US securities laws by lying to investors. 586 00:32:34,280 --> 00:32:36,920 Speaker 1: And again, like, I'm no lawyer, I'm no expert on 587 00:32:37,000 --> 00:32:40,720 Speaker 1: this particular part of it. But like when you say 588 00:32:40,760 --> 00:32:44,560 Speaker 1: one thing in when you're testifying to Congress, when you 589 00:32:44,840 --> 00:32:48,080 Speaker 1: know another thing to be true, that seems like a 590 00:32:48,120 --> 00:32:50,520 Speaker 1: problem to me. I don't know, I think that's lying. 591 00:32:51,000 --> 00:32:53,680 Speaker 1: I don't know. I think so. I think you're right. 592 00:32:54,320 --> 00:32:56,240 Speaker 1: I know when it comes to like stocks and stuff, 593 00:32:56,600 --> 00:32:59,320 Speaker 1: that is really really bad and you will get arrested 594 00:32:59,520 --> 00:33:02,680 Speaker 1: and fire because yeah, you just made up in order 595 00:33:02,720 --> 00:33:05,680 Speaker 1: to pretend like you have made profit in order to 596 00:33:05,840 --> 00:33:10,840 Speaker 1: make more profit exactly. Um, It's it is really well 597 00:33:10,920 --> 00:33:12,320 Speaker 1: to me, It's like and it's one of these things 598 00:33:12,360 --> 00:33:15,560 Speaker 1: where I feel like I don't know if it's capitalism 599 00:33:15,680 --> 00:33:18,520 Speaker 1: or just like a nuance of living in a country 600 00:33:18,520 --> 00:33:22,120 Speaker 1: like America where some things are lies and some things 601 00:33:22,120 --> 00:33:24,280 Speaker 1: are are true. And I think that you kind of 602 00:33:24,360 --> 00:33:27,200 Speaker 1: accepted that, like, oh, well, of course a big business 603 00:33:27,280 --> 00:33:31,440 Speaker 1: has to like misrepresent a few things in public to 604 00:33:31,560 --> 00:33:33,760 Speaker 1: make a buck. And it's like, wait, no, stop, is 605 00:33:33,800 --> 00:33:35,440 Speaker 1: that is that really how it should be? That we 606 00:33:35,480 --> 00:33:38,040 Speaker 1: should just allow that, Like it's okay for businesses to 607 00:33:38,640 --> 00:33:43,320 Speaker 1: behave in this manner that it's literally killing kids to 608 00:33:43,440 --> 00:33:47,280 Speaker 1: make money. It's like, I feel like this whole Facebook 609 00:33:47,280 --> 00:33:50,640 Speaker 1: conversation is a good place for a hard stop of 610 00:33:50,680 --> 00:33:53,600 Speaker 1: what we will allow businesses to do without any kind 611 00:33:53,600 --> 00:33:56,720 Speaker 1: of accountability, right, And that's been a piece of this 612 00:33:56,840 --> 00:34:02,600 Speaker 1: conversation is when people talk about regulating Facebook or how 613 00:34:02,640 --> 00:34:06,920 Speaker 1: could we potentially deal with this problem, people have brought 614 00:34:07,000 --> 00:34:11,520 Speaker 1: up other industries and what they have done. Correct. Oh, absolutely, So, 615 00:34:11,719 --> 00:34:14,760 Speaker 1: after all of this Facebook stuff was going down, Adam Missary, 616 00:34:14,880 --> 00:34:17,480 Speaker 1: the head of Instagram, who I have a lot of 617 00:34:17,480 --> 00:34:19,279 Speaker 1: few things about him, I won't get into it now, 618 00:34:19,320 --> 00:34:23,000 Speaker 1: but like, he just someone who because he runs Instagram, 619 00:34:23,200 --> 00:34:25,600 Speaker 1: I feel like tries to have a kind of quirky 620 00:34:25,719 --> 00:34:28,680 Speaker 1: public persona, and it's like, well, your platform is killing kids, 621 00:34:28,680 --> 00:34:30,680 Speaker 1: So like, I don't really care about your quirky socks. 622 00:34:30,800 --> 00:34:34,080 Speaker 1: But that's either heard her there. Basically, after all this 623 00:34:34,120 --> 00:34:36,640 Speaker 1: went down, he went on the podcast Recode and offered 624 00:34:36,680 --> 00:34:40,440 Speaker 1: a really terrible but also very telling analogy in response 625 00:34:40,440 --> 00:34:43,359 Speaker 1: to all of this. He said, we know that more 626 00:34:43,440 --> 00:34:46,360 Speaker 1: people die than otherwise would because of car accidents, but 627 00:34:46,480 --> 00:34:49,080 Speaker 1: by and large, cars create way more value in the 628 00:34:49,080 --> 00:34:51,960 Speaker 1: world than they destroy, and I think social media is similar. 629 00:34:52,480 --> 00:34:56,319 Speaker 1: So that analogy is wild for a couple of different reasons. One, 630 00:34:56,480 --> 00:35:00,319 Speaker 1: it's just like cars, that the car industry. We know 631 00:35:00,400 --> 00:35:05,080 Speaker 1: that industry is incredibly regulated by federal and state governments, right, 632 00:35:05,080 --> 00:35:07,120 Speaker 1: Like I gotta take my car in every so often 633 00:35:07,160 --> 00:35:08,680 Speaker 1: to get it inspected by the state, and they have 634 00:35:08,760 --> 00:35:11,160 Speaker 1: to tell me if it's okay. You know, your car 635 00:35:11,200 --> 00:35:13,839 Speaker 1: has to have seatbelts, this, that, the third that are 636 00:35:13,880 --> 00:35:16,799 Speaker 1: all you know, dictated by the state. And we know that, 637 00:35:16,880 --> 00:35:20,800 Speaker 1: like the auto industry had to be basically forced into 638 00:35:20,840 --> 00:35:23,960 Speaker 1: adopting safety measures that they knew would save lives. And 639 00:35:24,000 --> 00:35:26,920 Speaker 1: so I hate this analogy. But if that's the analogy 640 00:35:27,000 --> 00:35:29,920 Speaker 1: he wants to use, then it sounds like what he 641 00:35:30,040 --> 00:35:32,560 Speaker 1: is saying is like, oh, we need to be heavily 642 00:35:32,640 --> 00:35:36,080 Speaker 1: regulated so that we don't harm people the same way 643 00:35:36,160 --> 00:35:39,399 Speaker 1: that the automobile industry is. Right. It's like, Uh, what's 644 00:35:39,400 --> 00:35:41,640 Speaker 1: funny is that when he brought that up, the person 645 00:35:41,680 --> 00:35:43,840 Speaker 1: who was interviewing him was like, oh, well, you know, 646 00:35:43,880 --> 00:35:46,440 Speaker 1: the car industry is very regulated, and he was like, well, 647 00:35:47,520 --> 00:35:49,360 Speaker 1: you know, we're open to regulation, but we can't have 648 00:35:49,400 --> 00:35:51,319 Speaker 1: too much regulation either. It's like well, what do you want. 649 00:35:52,280 --> 00:35:54,600 Speaker 1: You're just gonna be able to harm people for profits, 650 00:35:54,880 --> 00:35:59,520 Speaker 1: but no regulation whatsoever. Take my analogy, but don't really 651 00:35:59,520 --> 00:36:05,800 Speaker 1: take mine alogy. Things. Also, analogy often used in comic 652 00:36:05,840 --> 00:36:08,240 Speaker 1: books and has always turned around. So this guy clearly 653 00:36:08,280 --> 00:36:12,040 Speaker 1: doesn't know his X men all right, exactly exactly, Like 654 00:36:12,200 --> 00:36:14,200 Speaker 1: I feel like once when you make that analogy, you're 655 00:36:14,200 --> 00:36:18,360 Speaker 1: opening yourself up to so many like you know, uh 656 00:36:18,560 --> 00:36:21,960 Speaker 1: gotchas and like brickballs, was like why I even go there. 657 00:36:22,120 --> 00:36:24,279 Speaker 1: But one of one of my favorite folks in the 658 00:36:24,320 --> 00:36:27,880 Speaker 1: disinformation space, this amazing researcher from the Shortens Scene Institute 659 00:36:27,880 --> 00:36:30,360 Speaker 1: at Harvard, Dr Joan Donovan. She's like one of my heroes. 660 00:36:30,880 --> 00:36:34,520 Speaker 1: She actually has a much better analogy, which is big tobacco. 661 00:36:34,680 --> 00:36:37,920 Speaker 1: So we know the big tobacco companies, they knew internally 662 00:36:37,960 --> 00:36:42,120 Speaker 1: that their products caused cancer, yet they misled both lawmakers 663 00:36:42,239 --> 00:36:44,359 Speaker 1: and the public about it for a very long time. 664 00:36:44,600 --> 00:36:46,560 Speaker 1: And you know, that's why we had the Master's Settlement 665 00:36:46,560 --> 00:36:51,920 Speaker 1: Agreement in which led to some accountability for the tobacco companies, 666 00:36:52,120 --> 00:36:55,240 Speaker 1: you know, misleading the public about the link between tobacco 667 00:36:55,280 --> 00:36:58,080 Speaker 1: and cancer. And so this book is kind of doing 668 00:36:58,120 --> 00:37:01,560 Speaker 1: the same thing, misleading law makers and the public about 669 00:37:01,560 --> 00:37:04,680 Speaker 1: the harm that they already have demonstrated that they know 670 00:37:05,000 --> 00:37:07,600 Speaker 1: their product causes. And so I think that's a really 671 00:37:07,680 --> 00:37:13,000 Speaker 1: useful analogy, because yeah, like, should a company be able 672 00:37:13,040 --> 00:37:16,560 Speaker 1: to mislead lawmakers in the public about the harm they 673 00:37:16,640 --> 00:37:20,640 Speaker 1: know their product causes to make money? If you agree 674 00:37:20,680 --> 00:37:22,400 Speaker 1: that the big tobacco company, should that have done that? 675 00:37:22,440 --> 00:37:26,439 Speaker 1: It seems like Facebook is doing something very similar as 676 00:37:26,440 --> 00:37:28,879 Speaker 1: in fact, is doing something just as similar in that 677 00:37:29,080 --> 00:37:32,720 Speaker 1: the old school campaign for tobacco were directed towards children 678 00:37:32,960 --> 00:37:40,320 Speaker 1: and say like, look how cool you are, and wo's 679 00:37:40,680 --> 00:37:43,480 Speaker 1: It's honestly like, when I heard that comparison, it blew 680 00:37:43,480 --> 00:37:46,080 Speaker 1: my mind because it's the same thing, marketing towards young people, 681 00:37:46,160 --> 00:37:49,840 Speaker 1: marketing towards women. Like the way that Facebook and tobacco 682 00:37:49,880 --> 00:37:53,839 Speaker 1: companies have harmed these specific marginalized groups, groups that don't 683 00:37:53,840 --> 00:37:56,759 Speaker 1: always get a lot of attention or have the biggest platforms, 684 00:37:56,800 --> 00:37:59,719 Speaker 1: you know, women, young people, It is so similar. And 685 00:37:59,719 --> 00:38:03,319 Speaker 1: I think that's something that really really gets me about 686 00:38:03,360 --> 00:38:06,759 Speaker 1: this whole thing is that, you know, Facebook, We know 687 00:38:06,920 --> 00:38:10,400 Speaker 1: now that Facebook knew how harmful their product was to 688 00:38:10,600 --> 00:38:14,960 Speaker 1: young people, and yet they continued to try to market 689 00:38:14,960 --> 00:38:17,680 Speaker 1: to young people push it to younger and younger audiences. 690 00:38:17,920 --> 00:38:19,839 Speaker 1: I think on Spanthy months before, I talked about how 691 00:38:20,040 --> 00:38:22,279 Speaker 1: Facebook had had plans to roll out a version of 692 00:38:22,360 --> 00:38:26,280 Speaker 1: Instagram specifically for kids, knowing that their product was already 693 00:38:26,320 --> 00:38:29,720 Speaker 1: so harmful to young people, and they continued to court 694 00:38:29,880 --> 00:38:33,080 Speaker 1: younger and younger users, Like, straight up, Facebook does not 695 00:38:33,320 --> 00:38:37,520 Speaker 1: care if kids are being hurt, harmed, killed, whatever, if 696 00:38:37,520 --> 00:38:40,120 Speaker 1: it makes them more money, and internal documents showed that 697 00:38:40,360 --> 00:38:44,000 Speaker 1: they had plans to market to kids who were ten 698 00:38:44,120 --> 00:38:46,359 Speaker 1: to twelve years old. They called ten to twelve year 699 00:38:46,360 --> 00:38:50,080 Speaker 1: olds a valuable but untapped audience, and another report suggested 700 00:38:50,120 --> 00:38:53,000 Speaker 1: that Facebook should look into a way to leverage play 701 00:38:53,080 --> 00:38:57,239 Speaker 1: dates to drive growth among kids. You know, it is 702 00:38:57,320 --> 00:39:02,560 Speaker 1: so vile that they knew that their products had such 703 00:39:02,600 --> 00:39:06,359 Speaker 1: a harmful impact on this young demographic, and yet they 704 00:39:06,360 --> 00:39:09,920 Speaker 1: continue to discuss how they could spread that harm to 705 00:39:10,120 --> 00:39:12,799 Speaker 1: kids younger and younger, right, because like, you gotta be 706 00:39:12,840 --> 00:39:14,880 Speaker 1: thirteen ven Instagram account, And they were like, well, you 707 00:39:14,920 --> 00:39:17,680 Speaker 1: gotta be thirteen Instagram account, but ten to twelve year old, 708 00:39:17,719 --> 00:39:19,359 Speaker 1: we really got to figure out how to harm them too, 709 00:39:19,840 --> 00:39:22,680 Speaker 1: And they're doing it for money. They're getting rich off 710 00:39:22,719 --> 00:39:25,000 Speaker 1: of it. I swear as the skit, I've seen this 711 00:39:25,040 --> 00:39:28,279 Speaker 1: skit before about this like trying to I don't know 712 00:39:28,280 --> 00:39:30,560 Speaker 1: if it was like suits or something, but they're like, 713 00:39:30,640 --> 00:39:33,560 Speaker 1: but we haven't gotten to the toddlers yet, so how 714 00:39:33,560 --> 00:39:36,279 Speaker 1: do we market? So it's like diaper formal where was 715 00:39:36,400 --> 00:39:38,520 Speaker 1: like the key and I was like, what is happening? 716 00:39:38,960 --> 00:39:41,520 Speaker 1: Is this real life? It's an Onion article SNL skit 717 00:39:41,640 --> 00:39:45,040 Speaker 1: come to life. And I think it's also hilarious and 718 00:39:45,200 --> 00:39:49,120 Speaker 1: sad that you did. You completely talked about this whole 719 00:39:49,160 --> 00:39:53,040 Speaker 1: idea that Instagram had of trying to uh get younger 720 00:39:53,360 --> 00:39:56,440 Speaker 1: audiences essentially and younger buyers, and you talked about the 721 00:39:56,440 --> 00:40:00,279 Speaker 1: fact that y'all and when it was like, hey, bad idea. 722 00:40:00,320 --> 00:40:04,080 Speaker 1: And this was even before these reports came out, Yes, 723 00:40:04,760 --> 00:40:07,520 Speaker 1: And I mean, if they already knew their product was 724 00:40:07,600 --> 00:40:10,640 Speaker 1: hurting young people to just try to further get that 725 00:40:10,800 --> 00:40:13,879 Speaker 1: lock on younger and younger communities, it's just I mean, 726 00:40:13,880 --> 00:40:17,440 Speaker 1: I I think it's just evil like that, Like that's 727 00:40:17,560 --> 00:40:19,920 Speaker 1: only like I think that Facebook is an evil company 728 00:40:20,000 --> 00:40:23,239 Speaker 1: and that they are making money by spreading harm to 729 00:40:23,360 --> 00:40:26,840 Speaker 1: younger and younger folks and it's just vile, But I 730 00:40:26,880 --> 00:40:28,520 Speaker 1: think it's also kind of telling them because it kind 731 00:40:28,520 --> 00:40:30,840 Speaker 1: of leads me to believe that Facebook might not be 732 00:40:30,920 --> 00:40:34,080 Speaker 1: as powerful as we maybe once thought. You know, young 733 00:40:34,160 --> 00:40:37,040 Speaker 1: people are not really into Facebook. They use Instagram a 734 00:40:37,080 --> 00:40:39,359 Speaker 1: lot more, but like a regular Facebook, Facebook is where 735 00:40:39,400 --> 00:40:42,560 Speaker 1: you go to like see your weird old aunt's like 736 00:40:42,880 --> 00:40:45,960 Speaker 1: nonsensical Facebook posts or your dad's if you're if you're me, 737 00:40:46,320 --> 00:40:48,640 Speaker 1: my dad's Facebook post. It just says the word test 738 00:40:49,800 --> 00:40:53,759 Speaker 1: like it's like not where you're going to have cool experiences. 739 00:40:53,800 --> 00:40:56,640 Speaker 1: And the fact that they filled the need to lock 740 00:40:56,800 --> 00:41:00,279 Speaker 1: in and market to younger and younger audiences kind of 741 00:41:00,280 --> 00:41:02,600 Speaker 1: makes me think that like, maybe they're not as as 742 00:41:02,719 --> 00:41:04,920 Speaker 1: big as we think they are. They don't have as 743 00:41:05,280 --> 00:41:08,600 Speaker 1: much of a hold on certain demographics as they might 744 00:41:08,800 --> 00:41:11,319 Speaker 1: need to write into. Like social media companies that are 745 00:41:11,360 --> 00:41:14,520 Speaker 1: doing well don't need to aggressively find all of these 746 00:41:14,560 --> 00:41:17,480 Speaker 1: little scams to lock in younger and younger users. And 747 00:41:17,480 --> 00:41:20,320 Speaker 1: we know something about Facebook is that they're m o 748 00:41:20,800 --> 00:41:23,759 Speaker 1: is kind of I don't want to say stealing, but 749 00:41:23,840 --> 00:41:27,880 Speaker 1: like adopting things from other platforms that are more successful 750 00:41:27,920 --> 00:41:31,200 Speaker 1: with younger users. And so when Instagram rolled out stories 751 00:41:31,400 --> 00:41:35,960 Speaker 1: like disappearing stories. That was essentially, you know, them copying Snapchat, 752 00:41:36,000 --> 00:41:38,240 Speaker 1: which was very popular with young people. When they started 753 00:41:38,280 --> 00:41:40,880 Speaker 1: doing reels, that was essentially them copying TikTok, which we 754 00:41:40,920 --> 00:41:43,120 Speaker 1: know is very very popular with young people. And so 755 00:41:43,200 --> 00:41:45,359 Speaker 1: the fact that they're doing all of these little things 756 00:41:45,360 --> 00:41:48,799 Speaker 1: to lock in younger and younger users might actually mean 757 00:41:48,840 --> 00:41:51,960 Speaker 1: that their business model is suffering because they're not getting 758 00:41:52,480 --> 00:41:54,919 Speaker 1: new user base. They would need to keep their their 759 00:41:54,920 --> 00:41:57,160 Speaker 1: platforms relevant, and that like if they have an older 760 00:41:57,360 --> 00:41:59,960 Speaker 1: and aging user base, you know that models only sustained 761 00:42:00,160 --> 00:42:03,600 Speaker 1: for so long. And it also means that maybe they're 762 00:42:03,680 --> 00:42:06,200 Speaker 1: kind of against the ropes and we might actually get 763 00:42:06,239 --> 00:42:08,880 Speaker 1: somewhere in terms of creating accountability for the kind of 764 00:42:08,880 --> 00:42:11,960 Speaker 1: harm that we know they are spreading and mitigating further harm, 765 00:42:12,000 --> 00:42:14,640 Speaker 1: which I hope is accurate. I hope that like the 766 00:42:14,719 --> 00:42:18,720 Speaker 1: fact that they're doing these like increasingly more desperate ways 767 00:42:18,800 --> 00:42:22,719 Speaker 1: to court increasingly younger audiences means that they're not actually 768 00:42:22,760 --> 00:42:39,880 Speaker 1: as powerful of a text bohemus as we might have thought. Recently, 769 00:42:40,400 --> 00:42:45,200 Speaker 1: we have seen you know, these bombshell accounts and this 770 00:42:45,440 --> 00:42:49,960 Speaker 1: whistleblower in Congress testifying, and it seems like this is 771 00:42:50,000 --> 00:42:53,719 Speaker 1: an issue that has touched people across all lines, and 772 00:42:53,760 --> 00:42:58,799 Speaker 1: people can relate to and and I care about um 773 00:42:59,160 --> 00:43:04,000 Speaker 1: want to do something about. Is that a correct? Oh? Absolutely? 774 00:43:04,040 --> 00:43:06,239 Speaker 1: And that's actually one of the things that kind of 775 00:43:06,280 --> 00:43:08,520 Speaker 1: excites me and gives me a lot of hope is 776 00:43:08,560 --> 00:43:12,800 Speaker 1: that there is actually rare bipartisan support for the idea 777 00:43:12,840 --> 00:43:15,600 Speaker 1: that something needs to be done about Facebook. Democrats and 778 00:43:15,680 --> 00:43:18,640 Speaker 1: Republicans are actually very much united with the idea of 779 00:43:18,719 --> 00:43:22,959 Speaker 1: regulating Facebook. After this Wall Street Journal expose came out 780 00:43:23,200 --> 00:43:26,400 Speaker 1: on Capitol Hill, Hagen testified at a hearing of the 781 00:43:26,480 --> 00:43:31,400 Speaker 1: Senate Commerce, Science, and Transportation Subcommittee on Consumer Protection, Product Safety, 782 00:43:31,400 --> 00:43:35,200 Speaker 1: and Data Security. Uh, that's nowtful And at this hearing, 783 00:43:35,239 --> 00:43:39,760 Speaker 1: after she testified, her testimony was amazing, but Republican Senator 784 00:43:39,800 --> 00:43:43,120 Speaker 1: Jerry Moran of Kansas told the subcommittee chair, Richard Blumenthal, 785 00:43:43,160 --> 00:43:45,560 Speaker 1: a Democrats from Connecticut, that they should put aside their 786 00:43:45,600 --> 00:43:49,520 Speaker 1: partisan differences to tackle this common goal of reigning and Facebook. 787 00:43:49,560 --> 00:43:53,120 Speaker 1: And they agreed. They agreed that they had more similarities 788 00:43:53,239 --> 00:43:55,640 Speaker 1: than differences on the issue, that the differences they did 789 00:43:55,680 --> 00:43:59,200 Speaker 1: have were very, very minor. And so Blumenthal said this 790 00:43:59,600 --> 00:44:02,120 Speaker 1: at the testimony. If you closed your eyes, you wouldn't 791 00:44:02,120 --> 00:44:04,279 Speaker 1: know if it was a Republican or a Democrat. Every 792 00:44:04,360 --> 00:44:06,840 Speaker 1: part of the country has the harms that are inflicted 793 00:44:06,880 --> 00:44:10,840 Speaker 1: by Facebook and Instagram, and I think it is really 794 00:44:11,160 --> 00:44:15,040 Speaker 1: heartening to see an issue where everybody's on the same side. 795 00:44:15,080 --> 00:44:18,200 Speaker 1: It doesn't matter if you're Republican or Democrat. Everybody can 796 00:44:18,280 --> 00:44:20,680 Speaker 1: agree that our kids should not there should not be 797 00:44:20,760 --> 00:44:24,320 Speaker 1: a marketplace for the pain and the harm of our children, 798 00:44:24,400 --> 00:44:26,799 Speaker 1: and then it needs to stop. And honestly, I think 799 00:44:26,840 --> 00:44:29,960 Speaker 1: they're exactly right. We should reject this idea that it's 800 00:44:30,000 --> 00:44:33,839 Speaker 1: just okay for companies to be making profit off of 801 00:44:34,000 --> 00:44:37,319 Speaker 1: hurting our kids. Our kids deserve better. Um, I don't 802 00:44:37,360 --> 00:44:40,880 Speaker 1: really care what happens to the finances of Mark Zuckerberg 803 00:44:41,000 --> 00:44:44,040 Speaker 1: or an Adam Massari or Cheryl Sandberg if it means 804 00:44:44,160 --> 00:44:47,799 Speaker 1: creating a safer ecosystem for our children, and I think 805 00:44:47,800 --> 00:44:49,920 Speaker 1: they deserve it. I mean, let's be honest, if they 806 00:44:49,960 --> 00:44:54,240 Speaker 1: stop making money today, they'd be fine. They'll be fine. 807 00:44:54,640 --> 00:44:57,480 Speaker 1: They'll be fine, Like they have enough money, they'll be fine. 808 00:44:57,960 --> 00:45:01,719 Speaker 1: But yeah, I find it interesting that this is that conversation, 809 00:45:01,719 --> 00:45:04,000 Speaker 1: that this is the one thing that's tied everyone together, 810 00:45:04,080 --> 00:45:06,520 Speaker 1: because yeah, I think if you go to either side 811 00:45:06,640 --> 00:45:09,919 Speaker 1: when it comes to the controversial or even the conspiracy 812 00:45:09,960 --> 00:45:13,560 Speaker 1: theory level, the one thing you can agree upon is 813 00:45:13,600 --> 00:45:16,520 Speaker 1: that the other believes that the other is out to 814 00:45:16,560 --> 00:45:20,880 Speaker 1: get them and giving misinformation because of these social media's. 815 00:45:21,440 --> 00:45:23,840 Speaker 1: Oh my gosh, that is so true, and it's actually 816 00:45:23,880 --> 00:45:26,799 Speaker 1: like in working in like tech accountability. That's the thing 817 00:45:26,840 --> 00:45:28,640 Speaker 1: that I always find kind of funny is that like 818 00:45:29,480 --> 00:45:34,440 Speaker 1: hardcore conservatives believe they are being censored on Facebook, super 819 00:45:34,480 --> 00:45:38,200 Speaker 1: progressive lefty folks believe they're being censored on Facebook. If 820 00:45:38,200 --> 00:45:40,120 Speaker 1: you've never seen that meme where it's a black hand 821 00:45:40,200 --> 00:45:42,799 Speaker 1: and a white hand, like like shaking hands and they 822 00:45:42,800 --> 00:45:45,919 Speaker 1: both agree, it's like everybody kind of agrees they don't 823 00:45:45,960 --> 00:45:47,759 Speaker 1: like what's going down on a faceboo. It doesn't matter 824 00:45:47,840 --> 00:45:50,680 Speaker 1: what side you're on, what you know, we all agree 825 00:45:50,760 --> 00:45:54,520 Speaker 1: we don't like what's happening on the Facebook. So it 826 00:45:54,560 --> 00:45:58,640 Speaker 1: feels good to be united against a clear common enemy. 827 00:46:01,080 --> 00:46:05,400 Speaker 1: Speaking of tech accountability, I mean, we wouldn't know about 828 00:46:05,440 --> 00:46:07,879 Speaker 1: a lot of this, even though that we had kind 829 00:46:07,880 --> 00:46:09,719 Speaker 1: of known, but we wouldn't have had like the hard 830 00:46:09,760 --> 00:46:15,080 Speaker 1: data and facts. If this whistleblower hadn't come out and 831 00:46:15,360 --> 00:46:20,279 Speaker 1: taken that risk and determined for herself, like we the 832 00:46:20,320 --> 00:46:23,719 Speaker 1: people need to know this. Yeah. So like the importance 833 00:46:23,719 --> 00:46:28,160 Speaker 1: of whistleblowers for this whole conversation. Um, and I know 834 00:46:28,239 --> 00:46:32,439 Speaker 1: that's something that you have talked about before. Oh yeah, 835 00:46:32,440 --> 00:46:33,759 Speaker 1: I mean, I'm so glad that you brought that up. 836 00:46:34,400 --> 00:46:37,440 Speaker 1: I so obviously this is like bombshell news, and I'm 837 00:46:37,440 --> 00:46:39,759 Speaker 1: so glad that folks are discussing it. But it is 838 00:46:39,800 --> 00:46:41,759 Speaker 1: so important to not lose sight of the fact that 839 00:46:42,320 --> 00:46:46,319 Speaker 1: whistleblowers are really especially in tech, are really important. On 840 00:46:46,320 --> 00:46:48,200 Speaker 1: my podcast, there are No Girls on the Internet, we 841 00:46:48,200 --> 00:46:51,120 Speaker 1: have a series highlighting women of color whistleblowers in tech, 842 00:46:51,440 --> 00:46:55,400 Speaker 1: and it does not surprise me that so many whistleblowers 843 00:46:55,520 --> 00:46:58,319 Speaker 1: are women and women of color, and I think that 844 00:46:58,719 --> 00:47:00,560 Speaker 1: it is so important to some court them and to 845 00:47:00,640 --> 00:47:03,360 Speaker 1: highlight their stories. Um. One of my favorite tech whistle 846 00:47:03,360 --> 00:47:06,120 Speaker 1: blowers is one of them. Again, one of my like heroes, 847 00:47:06,200 --> 00:47:09,480 Speaker 1: e Foma Uzoma. She blew the whistle on gender and 848 00:47:09,560 --> 00:47:13,640 Speaker 1: racial discrimination at the company Pinterest and just actually passed 849 00:47:14,000 --> 00:47:18,480 Speaker 1: groundbreaking legislation in California to free the victims of racial 850 00:47:18,520 --> 00:47:22,080 Speaker 1: and gender discrimination at tech companies from non disclosure acts. 851 00:47:22,080 --> 00:47:24,000 Speaker 1: So if you signed an n d A but you 852 00:47:24,040 --> 00:47:27,680 Speaker 1: were the victim of discrimination you previously it could be 853 00:47:27,719 --> 00:47:30,880 Speaker 1: sued if you talked about that experience. But because of 854 00:47:30,920 --> 00:47:33,920 Speaker 1: this legislation, the Silent No More Act, she is actually 855 00:47:34,640 --> 00:47:38,799 Speaker 1: freed victims of discrimination up to talk about their experiences. 856 00:47:38,840 --> 00:47:42,040 Speaker 1: And so, you know, I would encourage everybody to. You know, 857 00:47:42,080 --> 00:47:44,200 Speaker 1: you can listen to the series that we have on whistleblowers, 858 00:47:44,280 --> 00:47:48,320 Speaker 1: but also in addition to listening to Frances Higgen's testimony, 859 00:47:48,560 --> 00:47:50,759 Speaker 1: make sure that you read about Sophie zaang story. You know, 860 00:47:50,800 --> 00:47:54,320 Speaker 1: I mentioned Sophie Zaying earlier. She was a former Facebook employee. 861 00:47:54,440 --> 00:47:56,520 Speaker 1: She's a trans woman of color who was a previous 862 00:47:56,560 --> 00:48:01,120 Speaker 1: Facebook whistle blower, and she deserves so much praise for 863 00:48:01,600 --> 00:48:06,839 Speaker 1: the work of identifying harm that Facebook was doing when 864 00:48:06,840 --> 00:48:09,640 Speaker 1: she worked there, working internally to try to mitigate it, 865 00:48:09,680 --> 00:48:12,440 Speaker 1: and when that did not work, speaking up about it 866 00:48:12,480 --> 00:48:16,560 Speaker 1: after she left. And you know, whistle blowing is scary, 867 00:48:16,560 --> 00:48:20,440 Speaker 1: thankless dangerous work, and it's often the work of women, 868 00:48:20,480 --> 00:48:23,640 Speaker 1: and I think that it's work that is it becomes 869 00:48:23,760 --> 00:48:27,279 Speaker 1: even more dangerous the more marginalized you are. So if 870 00:48:27,280 --> 00:48:29,719 Speaker 1: you're a woman, it's more it's more dangerous to do 871 00:48:29,920 --> 00:48:31,440 Speaker 1: to be a whistle blower as a woman than as 872 00:48:31,440 --> 00:48:33,560 Speaker 1: a man. It is more dangerous to be whistle blower 873 00:48:33,560 --> 00:48:35,279 Speaker 1: as a woman of color than as a white woman. 874 00:48:35,280 --> 00:48:37,120 Speaker 1: And it's more dangerous to be a whistle blower as 875 00:48:37,120 --> 00:48:39,800 Speaker 1: a trans woman than assist woman. Right, And so whistle 876 00:48:39,800 --> 00:48:43,560 Speaker 1: blowing is not this like gender neutral, race neutral, identity 877 00:48:43,600 --> 00:48:47,360 Speaker 1: neutral thing. It really does take into account our identities. 878 00:48:47,360 --> 00:48:49,960 Speaker 1: And so you know, I've already seen these attacks on 879 00:48:50,040 --> 00:48:52,799 Speaker 1: Hagen that are like, oh, she must just be a 880 00:48:52,800 --> 00:48:56,359 Speaker 1: disgruntled employee, or she doesn't really know what she's talking about. 881 00:48:56,480 --> 00:48:59,879 Speaker 1: Like in their response, a Facebook comms person was like, oh, well, 882 00:49:00,400 --> 00:49:02,480 Speaker 1: you know she never had any direct reports, she didn't 883 00:49:02,480 --> 00:49:04,719 Speaker 1: really worked on this, or that, you know, really trying 884 00:49:04,760 --> 00:49:08,759 Speaker 1: to minimize her experiences and her voice, or saying that 885 00:49:08,800 --> 00:49:10,719 Speaker 1: she's just doing it for publicity or for money. And 886 00:49:10,760 --> 00:49:15,680 Speaker 1: it's like people do not do the scary, thankless danger 887 00:49:15,880 --> 00:49:17,600 Speaker 1: as the work of whistle blowing because they want to 888 00:49:17,600 --> 00:49:21,480 Speaker 1: get a check, right, Like, it is incredibly destabilizing to 889 00:49:21,560 --> 00:49:24,840 Speaker 1: your entire life and often like your family life to 890 00:49:25,239 --> 00:49:27,719 Speaker 1: blow the whistle like this, and so I think it's 891 00:49:27,719 --> 00:49:30,760 Speaker 1: important that we remember that there are women and women 892 00:49:30,760 --> 00:49:34,279 Speaker 1: of color who risk so much and take on such 893 00:49:34,280 --> 00:49:37,759 Speaker 1: a huge personal cost to get us this information, and 894 00:49:37,760 --> 00:49:39,919 Speaker 1: I think we owe it to them to do something 895 00:49:39,960 --> 00:49:43,640 Speaker 1: about it once they do. And the story just what 896 00:49:43,719 --> 00:49:47,040 Speaker 1: you were saying alone reminds me of the Google employee 897 00:49:47,040 --> 00:49:48,959 Speaker 1: you had brought to us as well in that same 898 00:49:49,080 --> 00:49:53,480 Speaker 1: like they just want to discredit instead of acknowledge the problems, 899 00:49:53,800 --> 00:49:57,720 Speaker 1: and so many are used to discrediting women and women 900 00:49:57,719 --> 00:50:00,360 Speaker 1: of color and women who are moginal lies in the 901 00:50:00,480 --> 00:50:05,120 Speaker 1: LGBTQ community, Like it's just such ah almost by the 902 00:50:05,160 --> 00:50:09,799 Speaker 1: playbook when it comes to the misogynist, racist ideals of 903 00:50:09,840 --> 00:50:13,399 Speaker 1: the US. The Unfortunately, it's still kind of works. Yes, 904 00:50:13,560 --> 00:50:16,359 Speaker 1: I mean exactly like the situation that Google was tim nant, 905 00:50:16,400 --> 00:50:20,359 Speaker 1: Jabru like she, I think that it's for a lot 906 00:50:20,400 --> 00:50:23,279 Speaker 1: of women and women of color were already seen as 907 00:50:23,680 --> 00:50:27,440 Speaker 1: margin We're already marginalized, We're already seen as like perpetual outsiders. 908 00:50:27,440 --> 00:50:30,120 Speaker 1: And so when we speak up, when we practice public 909 00:50:30,160 --> 00:50:32,560 Speaker 1: courage and public morality and say like this bad thing 910 00:50:32,640 --> 00:50:34,840 Speaker 1: is happening and it's not great, we should it shouldn't 911 00:50:34,840 --> 00:50:37,839 Speaker 1: be happening. It's so easy for people to discredit us, 912 00:50:38,120 --> 00:50:40,120 Speaker 1: the crap on us, to say like, oh, they don't 913 00:50:40,120 --> 00:50:42,200 Speaker 1: know what we're talking about, like, and I think, like 914 00:50:42,320 --> 00:50:44,640 Speaker 1: it is so important that in the face of that, 915 00:50:44,640 --> 00:50:48,880 Speaker 1: that we support women who speak up. It's because, you know, 916 00:50:49,600 --> 00:50:54,160 Speaker 1: it's just there's already a an attitude waiting and ready 917 00:50:54,200 --> 00:50:59,839 Speaker 1: and willing to suppress their voices. Absolutely, and I thank 918 00:50:59,880 --> 00:51:03,040 Speaker 1: you so much for bringing their names to our attention 919 00:51:03,120 --> 00:51:06,960 Speaker 1: and for bringing this topic to our attention. And do 920 00:51:07,000 --> 00:51:08,880 Speaker 1: you want to Are there any resources you want to 921 00:51:08,880 --> 00:51:11,960 Speaker 1: shout out? And also where can the good listeners find you? 922 00:51:12,600 --> 00:51:14,959 Speaker 1: One thing I want to note is there are some 923 00:51:15,160 --> 00:51:18,520 Speaker 1: organizations and initiatives that you can follow if you're interested 924 00:51:18,560 --> 00:51:20,600 Speaker 1: in knowing more. So I can always check out my 925 00:51:20,640 --> 00:51:22,960 Speaker 1: work at Ultra Violet um we are a gender justice 926 00:51:23,000 --> 00:51:26,319 Speaker 1: organization of feminist organization that is really working to keep 927 00:51:26,520 --> 00:51:29,520 Speaker 1: gender at the forefront of tech harms. You can go 928 00:51:29,560 --> 00:51:31,399 Speaker 1: to we are ultraviolet dot org to find out more. 929 00:51:31,760 --> 00:51:35,840 Speaker 1: And the Cairos Foundation is actually putting together a campaign 930 00:51:36,040 --> 00:51:40,120 Speaker 1: asking folks to log out Facebook this November. And so 931 00:51:40,480 --> 00:51:43,440 Speaker 1: if you're if you're someone who's thinking like, gee, I 932 00:51:43,520 --> 00:51:46,120 Speaker 1: don't like what I'm hearing about Facebook, and I want 933 00:51:46,160 --> 00:51:49,040 Speaker 1: to do whatever I can to divest from Facebook a 934 00:51:49,080 --> 00:51:52,560 Speaker 1: little bit more. Check out Cairos campaign this November about 935 00:51:52,600 --> 00:51:54,839 Speaker 1: how you can do that. And Yeah, if you want 936 00:51:54,880 --> 00:51:59,720 Speaker 1: to hear more conversations about women whistleblowers and this women 937 00:51:59,800 --> 00:52:02,440 Speaker 1: in tech who are trying to speak up and trying 938 00:52:02,440 --> 00:52:06,919 Speaker 1: to practice moral courage um and trying to act as 939 00:52:07,280 --> 00:52:10,640 Speaker 1: the conscious of tech platforms in the tech industry, you 940 00:52:10,680 --> 00:52:12,719 Speaker 1: can check out my podcast. There are no girls on 941 00:52:12,719 --> 00:52:15,680 Speaker 1: the Internet where we are having conversations about what it 942 00:52:15,840 --> 00:52:20,880 Speaker 1: means to practice that kind of public courage and public 943 00:52:20,920 --> 00:52:24,759 Speaker 1: bravery in tech. So we would love to have you. Yes, definitely, 944 00:52:24,920 --> 00:52:28,399 Speaker 1: definitely go check it out. It's amazing. You can find 945 00:52:28,440 --> 00:52:31,160 Speaker 1: Bridget online. Also, it always feels so weird when you're like, 946 00:52:31,600 --> 00:52:35,000 Speaker 1: does social media platform problems? But find me on there 947 00:52:35,040 --> 00:52:40,359 Speaker 1: if you pretty much, every like every like tech accountability 948 00:52:40,800 --> 00:52:43,560 Speaker 1: organization right now and activists and organizing right now is 949 00:52:43,560 --> 00:52:46,200 Speaker 1: going through the same thing of like, well, I hate Facebook, 950 00:52:46,280 --> 00:52:48,560 Speaker 1: but I'm on Facebook. What do I do? But if 951 00:52:48,600 --> 00:52:49,920 Speaker 1: you want to follow me, you can follow me on 952 00:52:49,960 --> 00:52:52,280 Speaker 1: Instagram at Bridget Marie in d C and on Twitter 953 00:52:52,320 --> 00:52:59,759 Speaker 1: at Bridget Murray and thank you so much for being here. 954 00:53:00,239 --> 00:53:03,279 Speaker 1: It was a pleasure. As always, listeners, if you would 955 00:53:03,320 --> 00:53:05,520 Speaker 1: like to contact us, you can our emails, Stuff you 956 00:53:05,520 --> 00:53:06,640 Speaker 1: Need Your Mom and Stuff at I Hurt Me You 957 00:53:06,680 --> 00:53:08,480 Speaker 1: dot com. You can find us on Instagram at Stuff 958 00:53:08,480 --> 00:53:11,080 Speaker 1: I've Never Told You or on Twitter at Mom Stuff Podcast. 959 00:53:11,200 --> 00:53:13,600 Speaker 1: Thanks It's always to our super producer Christina, Thank you, 960 00:53:13,880 --> 00:53:15,600 Speaker 1: and thanks to you for listening Stuff I Never Told 961 00:53:15,600 --> 00:53:17,239 Speaker 1: You This production by High Radio. For more podcast on 962 00:53:17,320 --> 00:53:19,280 Speaker 1: my heart radio is the Heart Radio, ap Apple podcast, 963 00:53:19,360 --> 00:53:20,840 Speaker 1: or wherever you listen to your favorite ships.