1 00:00:05,680 --> 00:00:08,719 Speaker 1: Kiota. I'm Chelsea Daniels and This is the Front Page, 2 00:00:09,160 --> 00:00:17,320 Speaker 1: a daily podcast presented by The New Zealand Herald. Meta, 3 00:00:17,600 --> 00:00:22,040 Speaker 1: the parent company of Facebook and Instagram, has implemented some 4 00:00:22,160 --> 00:00:25,959 Speaker 1: changes across its organization since Donald Trump's election win. The 5 00:00:26,000 --> 00:00:30,320 Speaker 1: social media giant is set to remove independent fact checkers 6 00:00:30,360 --> 00:00:34,879 Speaker 1: from its service, replacing them with community driven notes, similar 7 00:00:34,920 --> 00:00:39,040 Speaker 1: to what x implemented after its rebrand from Twitter. The 8 00:00:39,080 --> 00:00:44,000 Speaker 1: company has also ended various diversity, equity and inclusion measures, 9 00:00:44,320 --> 00:00:48,640 Speaker 1: while chief executive Mark Zuckerberg has called for more masculine 10 00:00:48,800 --> 00:00:51,839 Speaker 1: energy in the corporate world. All this came before he 11 00:00:51,920 --> 00:00:56,160 Speaker 1: was seated in the front row at Trump's inauguration alongside 12 00:00:56,280 --> 00:01:00,320 Speaker 1: other tech bosses, raising questions about how tied up these 13 00:01:00,320 --> 00:01:06,200 Speaker 1: global companies are becoming with the current US administration. Francis 14 00:01:06,240 --> 00:01:10,040 Speaker 1: Hougan is a former Facebook employee turned whistleblower over the 15 00:01:10,080 --> 00:01:13,280 Speaker 1: company's actions. She joins us today on the Front Page 16 00:01:13,360 --> 00:01:22,360 Speaker 1: to discuss the changes in the take world. Francis, could 17 00:01:22,360 --> 00:01:24,480 Speaker 1: you start by giving us a quick rundown of what 18 00:01:24,520 --> 00:01:26,600 Speaker 1: you did, it matter and what prompted you to go 19 00:01:26,680 --> 00:01:29,399 Speaker 1: public with those thousands of internal documents. 20 00:01:29,800 --> 00:01:33,520 Speaker 2: Certainly so when I joined Facebook. Facebook knew it had 21 00:01:33,520 --> 00:01:35,640 Speaker 2: a problem, so it had invested a great deal of 22 00:01:35,680 --> 00:01:38,880 Speaker 2: money in something called third party factchecking. That's the program 23 00:01:38,959 --> 00:01:41,120 Speaker 2: that they recently ended. But they knew that that program 24 00:01:41,160 --> 00:01:44,080 Speaker 2: only covered a tiny, tiny sliver of the people in 25 00:01:44,120 --> 00:01:47,080 Speaker 2: the world. Overwhelmingly the money was invested in the United States. 26 00:01:47,240 --> 00:01:49,280 Speaker 2: Beyond that, it was a little bit in Australia, a 27 00:01:49,320 --> 00:01:51,040 Speaker 2: little bit in Europe, a little bit scattered in a 28 00:01:51,080 --> 00:01:54,440 Speaker 2: few other places. But Facebook is the Internet for most 29 00:01:54,440 --> 00:01:56,960 Speaker 2: of the world. You know, for many, many, many people. 30 00:01:57,000 --> 00:02:00,360 Speaker 2: They live in countries where, you know, seventy percent, eighty percent, 31 00:02:00,480 --> 00:02:03,200 Speaker 2: ninety percent of the content available on the Internet in 32 00:02:03,240 --> 00:02:06,280 Speaker 2: their language will only be on Facebook. And so they said, hey, 33 00:02:06,320 --> 00:02:08,720 Speaker 2: we need to have a way to deal with misinformation 34 00:02:09,000 --> 00:02:12,440 Speaker 2: when we can't have factcheckers. And so that was the 35 00:02:12,440 --> 00:02:15,600 Speaker 2: responsibility of my team. So the Civic Misinformation Team and 36 00:02:15,680 --> 00:02:18,800 Speaker 2: I came forward in twenty twenty one. Because in the 37 00:02:18,840 --> 00:02:21,960 Speaker 2: process of doing that job for two years, different variants 38 00:02:22,000 --> 00:02:24,400 Speaker 2: of it worked on different parts ended up within threat 39 00:02:24,400 --> 00:02:28,720 Speaker 2: intelligence within Facebook. I realized that Facebook was serially lying. 40 00:02:28,840 --> 00:02:32,120 Speaker 2: They had a habit of lying about what their company 41 00:02:32,240 --> 00:02:35,400 Speaker 2: was doing, what the effects of their action or inaction 42 00:02:35,639 --> 00:02:39,840 Speaker 2: was and they actively misled the pubook about what was possible. 43 00:02:40,000 --> 00:02:42,800 Speaker 2: And so I came forward because I wanted people to 44 00:02:42,800 --> 00:02:45,360 Speaker 2: have the information they needed to protect themselves. And in 45 00:02:45,400 --> 00:02:49,240 Speaker 2: the process I became known as the Facebook whistleblower, even 46 00:02:49,280 --> 00:02:52,079 Speaker 2: though there are very very many whistleblowers that come out 47 00:02:52,080 --> 00:02:54,760 Speaker 2: of Facebook, because I'm not the only employee that knows 48 00:02:54,840 --> 00:02:57,400 Speaker 2: their problems the public needs to act on. 49 00:02:57,800 --> 00:03:00,160 Speaker 1: Now, I've had in recent ways about metas plans to 50 00:03:00,240 --> 00:03:04,040 Speaker 1: remove independent fact check is and let use this fact 51 00:03:04,160 --> 00:03:08,120 Speaker 1: check content. Does this feel like a backward step to you? 52 00:03:08,120 --> 00:03:10,760 Speaker 2: You know, it's one of these actions that on the 53 00:03:10,840 --> 00:03:14,400 Speaker 2: surface feels really dramatic. But one of the key things 54 00:03:14,440 --> 00:03:17,839 Speaker 2: that I detailed when iking forward was was how superficial 55 00:03:17,960 --> 00:03:20,680 Speaker 2: the third party fact checking program was. You know, every 56 00:03:20,800 --> 00:03:24,079 Speaker 2: month they fact checked maybe hundreds and maybe less than 57 00:03:24,080 --> 00:03:26,720 Speaker 2: like five hundred. We're talking three hundred two hundred pieces 58 00:03:26,720 --> 00:03:30,760 Speaker 2: of content globally, when Facebook was producing hundreds of millions, 59 00:03:30,760 --> 00:03:33,720 Speaker 2: if not billions, the pieces of content globally. So in 60 00:03:33,760 --> 00:03:37,000 Speaker 2: many ways, we're ending an era of you know, lipstick 61 00:03:37,040 --> 00:03:39,240 Speaker 2: on the pig, if you will. When it comes to 62 00:03:39,280 --> 00:03:42,119 Speaker 2: seeing like third party fact checking is our first line 63 00:03:42,120 --> 00:03:45,120 Speaker 2: of defense. But I think the larger issue is around 64 00:03:45,160 --> 00:03:47,040 Speaker 2: how a lot of this has been framed. Right, The 65 00:03:47,080 --> 00:03:50,680 Speaker 2: idea that you know, Facebook is quote like fighting for 66 00:03:50,680 --> 00:03:53,440 Speaker 2: freedom and fighting for freedom of speech, and yet we 67 00:03:53,520 --> 00:03:56,400 Speaker 2: see that they're quite willing to take down content from 68 00:03:56,720 --> 00:03:59,560 Speaker 2: issues that maybe be politically expedient to them. So it'll 69 00:03:59,560 --> 00:04:01,360 Speaker 2: be interesting to see how all this evolves. 70 00:04:05,720 --> 00:04:09,200 Speaker 3: After Trump first got elected in twenty sixteen, the legacy 71 00:04:09,240 --> 00:04:13,240 Speaker 3: media wrote NonStop about how misinformation was a threat to democracy. 72 00:04:13,880 --> 00:04:16,560 Speaker 3: We tried, in good faith to address those concerns without 73 00:04:16,640 --> 00:04:20,120 Speaker 3: becoming the arbiters of truth. But the fact checkers have 74 00:04:20,240 --> 00:04:23,560 Speaker 3: just been too politically biased and have destroyed more trust 75 00:04:23,600 --> 00:04:26,520 Speaker 3: than they've created, especially in the US. So over the 76 00:04:26,560 --> 00:04:28,960 Speaker 3: next couple of months, we're going to phase in a 77 00:04:29,000 --> 00:04:36,560 Speaker 3: more comprehensive community notes system. 78 00:04:36,880 --> 00:04:39,680 Speaker 1: I know some of the revelations from your Facebook files 79 00:04:39,720 --> 00:04:43,880 Speaker 1: centered on Meta's failure to fact check stolen election claims 80 00:04:43,920 --> 00:04:47,039 Speaker 1: prior to the January sixth insurrection. Right, does it surprise 81 00:04:47,080 --> 00:04:49,920 Speaker 1: you that the company is now I guess, perceivably handing 82 00:04:49,960 --> 00:04:51,960 Speaker 1: the power back to its consumers. It doesn't feel like 83 00:04:51,960 --> 00:04:54,760 Speaker 1: they've actually learned any kind of lessons, does it. 84 00:04:54,680 --> 00:04:58,359 Speaker 2: Well, I would say the larger issue in my disclosures was, 85 00:04:58,400 --> 00:05:02,240 Speaker 2: for example, prior to genuine so before the twenty twenty election, 86 00:05:02,600 --> 00:05:04,640 Speaker 2: they actually took a lot of actions. You know, they 87 00:05:04,680 --> 00:05:06,919 Speaker 2: had one hundred plus what they know is break the 88 00:05:06,960 --> 00:05:10,920 Speaker 2: glass measures, which were little tweaks to how the company operated. 89 00:05:11,240 --> 00:05:14,520 Speaker 2: You know, for example, if you're in a group that 90 00:05:15,040 --> 00:05:17,640 Speaker 2: has a very small number of people who are driving 91 00:05:17,680 --> 00:05:20,400 Speaker 2: all the invites for the group, that's kind of suspicious. 92 00:05:20,520 --> 00:05:22,919 Speaker 2: You know, when you have point three percent of people 93 00:05:23,000 --> 00:05:25,800 Speaker 2: who send out invites for stop the Steal, inviting a 94 00:05:25,920 --> 00:05:28,280 Speaker 2: third of all the members, you know, that should be 95 00:05:28,400 --> 00:05:30,600 Speaker 2: something that you would maybe take pause on or maybe 96 00:05:30,720 --> 00:05:33,080 Speaker 2: operate that group a little bit differently because you know 97 00:05:33,160 --> 00:05:36,279 Speaker 2: that someone's trying to manipulate your platform. I was trying 98 00:05:36,320 --> 00:05:40,039 Speaker 2: to hack your vulnerabilities. Facebook knew prior to the twenty 99 00:05:40,040 --> 00:05:42,600 Speaker 2: twenty election they had a bunch of problems, and they 100 00:05:42,680 --> 00:05:45,840 Speaker 2: flipped a bunch of little switches to make their systems 101 00:05:45,920 --> 00:05:48,080 Speaker 2: work in a way that they knew was safer. But 102 00:05:48,240 --> 00:05:52,440 Speaker 2: prior to January sixth, they turned off. They left all 103 00:05:52,480 --> 00:05:55,000 Speaker 2: those switches in the dangerous position. I think one of 104 00:05:55,040 --> 00:05:57,440 Speaker 2: the key kind of differences of what's changed in the 105 00:05:57,520 --> 00:06:01,280 Speaker 2: last few years is this question of do companies have 106 00:06:01,320 --> 00:06:04,839 Speaker 2: a responsibility to understand their vulnerabilities and do they have 107 00:06:04,880 --> 00:06:09,640 Speaker 2: responsibility to act to address those vulnerabilities if those vulnerabilities 108 00:06:09,800 --> 00:06:13,120 Speaker 2: have the ability to say, change the course of an election. 109 00:06:13,520 --> 00:06:18,160 Speaker 2: And back in twenty twenty, Facebook very clearly thought they 110 00:06:18,200 --> 00:06:20,160 Speaker 2: had a responsibility to do that because they had a 111 00:06:20,200 --> 00:06:23,200 Speaker 2: three hundred person team staffed to look for things like 112 00:06:23,279 --> 00:06:29,320 Speaker 2: voter disenfranchisement, to look for foreign operations trying to amplify 113 00:06:29,560 --> 00:06:32,440 Speaker 2: misleading information. But by the twenty twenty four election, they 114 00:06:32,480 --> 00:06:34,800 Speaker 2: had dissolved that team. And now they're taking even a 115 00:06:34,839 --> 00:06:40,000 Speaker 2: step further and coming out and slandering their own efforts 116 00:06:40,400 --> 00:06:42,760 Speaker 2: to go and try to make the platform safer by 117 00:06:42,839 --> 00:06:46,279 Speaker 2: labeling with words like censorship, even though many many of 118 00:06:46,279 --> 00:06:48,880 Speaker 2: those interventions had nothing to do with content. So it's 119 00:06:48,920 --> 00:06:51,360 Speaker 2: interesting to see how far Mark has come and how 120 00:06:52,480 --> 00:06:56,400 Speaker 2: his perceptions around what his responsibilities are have shifted in 121 00:06:56,440 --> 00:06:58,039 Speaker 2: a remarkably small amount of time. 122 00:06:58,320 --> 00:07:01,000 Speaker 1: What do you think it's because perhaps they more at 123 00:07:01,000 --> 00:07:04,720 Speaker 1: home now. I suppose at Trump's inauguration last week we 124 00:07:04,760 --> 00:07:09,320 Speaker 1: saw metas Mark Zuckerberg X's elon Musk, Amazon's Jeff Bezos, 125 00:07:09,360 --> 00:07:13,200 Speaker 1: and Google's the d Pachi in the front row ahead 126 00:07:13,200 --> 00:07:16,440 Speaker 1: of Trump's cabinet. Why are these tech CEOs so keen to, 127 00:07:16,640 --> 00:07:19,360 Speaker 1: I guess kiss the ring cozy app to the new administration. 128 00:07:20,160 --> 00:07:23,600 Speaker 2: So we're in a really interesting moment where when we 129 00:07:23,640 --> 00:07:26,760 Speaker 2: look across the world, countries are starting to say that 130 00:07:26,840 --> 00:07:30,040 Speaker 2: they want a different balance of power with Silicon Valley. 131 00:07:30,280 --> 00:07:34,880 Speaker 2: And I've heard very openly on certain podcasts where people 132 00:07:34,880 --> 00:07:38,559 Speaker 2: who are really deeply connected into Silicon Valley say things 133 00:07:38,640 --> 00:07:43,280 Speaker 2: like part of why people shifted, why these taxios shifted 134 00:07:43,320 --> 00:07:46,920 Speaker 2: to support Trump, was that as those countries, as the 135 00:07:47,160 --> 00:07:52,200 Speaker 2: European Union passed the DSA, as Australia started sending boundaries 136 00:07:52,240 --> 00:07:54,160 Speaker 2: on how young should children be when they to use 137 00:07:54,160 --> 00:07:57,960 Speaker 2: social media, they expected the United States government to step 138 00:07:58,040 --> 00:08:01,920 Speaker 2: up and defend their economics interests. And the Biden administration, 139 00:08:02,120 --> 00:08:04,480 Speaker 2: I think, in many ways took what is probably a 140 00:08:04,520 --> 00:08:07,560 Speaker 2: more appropriate position, which is to say every country is different, 141 00:08:07,960 --> 00:08:10,640 Speaker 2: trace should have autonomy to say how they want to 142 00:08:10,680 --> 00:08:13,960 Speaker 2: govern forces that shape their own countries. But if you're 143 00:08:13,960 --> 00:08:17,160 Speaker 2: a tech ceo, your job is to optimize for your company. 144 00:08:17,240 --> 00:08:20,240 Speaker 2: And so Trump's inauguration is a second chance for a 145 00:08:20,280 --> 00:08:23,160 Speaker 2: lot of these companies, you know, the AI regulations that 146 00:08:23,200 --> 00:08:27,440 Speaker 2: you're a past. The only way Silicon Valley won't have 147 00:08:27,680 --> 00:08:30,240 Speaker 2: to figure out how to adapt to those things like 148 00:08:30,280 --> 00:08:33,760 Speaker 2: they did to GDPR the privacy law is by having 149 00:08:33,800 --> 00:08:35,560 Speaker 2: people like Trump's step in and say we're just not 150 00:08:35,600 --> 00:08:38,280 Speaker 2: going to do that. Look at what happened with the 151 00:08:38,720 --> 00:08:42,640 Speaker 2: TikTok Investment Bill, also sometimes to know as the TikTok ban. 152 00:08:43,040 --> 00:08:45,440 Speaker 2: He said, I'm very popular in TikTok. I don't want 153 00:08:45,480 --> 00:08:48,360 Speaker 2: it to go away. You know, there's these interesting moments where, 154 00:08:48,559 --> 00:08:52,760 Speaker 2: you know, Silicon Valley sees we have someone who is lawless. 155 00:08:53,040 --> 00:08:55,040 Speaker 2: You know, he doesn't care that the Supreme Court has 156 00:08:55,160 --> 00:08:56,959 Speaker 2: ruled that Congress had the right to do this, that 157 00:08:57,080 --> 00:09:00,320 Speaker 2: this is a legal action. He believes he's about the law. 158 00:09:00,920 --> 00:09:04,200 Speaker 2: So if they can show Trump that they are useful 159 00:09:04,240 --> 00:09:06,200 Speaker 2: to him, they are going to get a second chance 160 00:09:06,760 --> 00:09:10,560 Speaker 2: at all these mechanisms of oversight. And I think that's 161 00:09:10,559 --> 00:09:11,760 Speaker 2: the thing that they're fighting for. 162 00:09:16,840 --> 00:09:23,480 Speaker 3: And as of today, TikTok is back. And I said, 163 00:09:23,559 --> 00:09:24,640 Speaker 3: we need to save. 164 00:09:24,480 --> 00:09:27,800 Speaker 4: TikTok because we're talking about a tremendous who in this 165 00:09:27,960 --> 00:09:33,720 Speaker 4: audience goes with TikTok Benny very popular. 166 00:09:35,640 --> 00:09:39,000 Speaker 1: And frankly, we have no choice. We have to save 167 00:09:39,040 --> 00:09:40,000 Speaker 1: it a lot of jobs. 168 00:09:40,440 --> 00:09:41,079 Speaker 2: We don't want to. 169 00:09:41,000 --> 00:09:42,959 Speaker 1: Give our business to China. We don't want to give 170 00:09:43,040 --> 00:09:52,600 Speaker 1: our business to other people. You mentioned the TikTok ben 171 00:09:52,800 --> 00:09:56,240 Speaker 1: and it's quite incredible to see once it came back online, 172 00:09:56,520 --> 00:09:59,920 Speaker 1: there was a message shown to all users that thanked 173 00:10:00,080 --> 00:10:03,920 Speaker 1: the Trump administration. That doesn't seem like something that we've 174 00:10:03,960 --> 00:10:04,640 Speaker 1: seen before. 175 00:10:05,120 --> 00:10:08,320 Speaker 2: No, well, they know flattery works. You know, this is 176 00:10:08,360 --> 00:10:11,880 Speaker 2: what foreign governments realized in the first Trump administration. But 177 00:10:11,920 --> 00:10:13,439 Speaker 2: the number one thing that you can do to get 178 00:10:13,480 --> 00:10:15,560 Speaker 2: your way is just make him feel like a really 179 00:10:15,559 --> 00:10:18,320 Speaker 2: big man. And so we have the situation now where 180 00:10:18,760 --> 00:10:21,319 Speaker 2: tech CEOs are coming in and saying, as long as 181 00:10:21,320 --> 00:10:24,320 Speaker 2: we can stay on Trump's good side. And remember, in 182 00:10:24,360 --> 00:10:28,600 Speaker 2: the case of Mark, he really needs Trump. For context, 183 00:10:28,800 --> 00:10:31,360 Speaker 2: when we look at what's coming down the pipeline, just 184 00:10:31,480 --> 00:10:34,880 Speaker 2: this year, we're going to start seeing the cases that 185 00:10:34,960 --> 00:10:37,920 Speaker 2: are going to make up the forty four US state 186 00:10:38,000 --> 00:10:42,360 Speaker 2: lawsuit against Trump against Meta herting kids. You know, this 187 00:10:42,480 --> 00:10:44,880 Speaker 2: is often compared to like the tobacco lawsuit. We're going 188 00:10:44,920 --> 00:10:47,680 Speaker 2: to see school districts suing to say, hey, you're costing 189 00:10:47,760 --> 00:10:50,920 Speaker 2: us tons of money by forcing us to have to 190 00:10:50,960 --> 00:10:53,320 Speaker 2: pay for tutors, to pay for more security guards, to 191 00:10:53,360 --> 00:10:56,800 Speaker 2: pay for therapists because kids are shown up to school suicidal. 192 00:10:57,040 --> 00:10:59,680 Speaker 2: We need those costs rehooped. There's a lot of these 193 00:10:59,800 --> 00:11:02,360 Speaker 2: major actions that are coming down the pipeline. More countries 194 00:11:02,360 --> 00:11:04,520 Speaker 2: are probably going to follow Australia's lead and putting in 195 00:11:04,640 --> 00:11:08,880 Speaker 2: age restrictions. Mark's only chance to subvert the democratic processes 196 00:11:08,920 --> 00:11:11,839 Speaker 2: that are happening here is to get Trump to intervene 197 00:11:12,000 --> 00:11:14,000 Speaker 2: in one of these hail Mary's. And so I think 198 00:11:14,040 --> 00:11:16,480 Speaker 2: it makes a ton of sense strategically for these companies 199 00:11:16,520 --> 00:11:18,880 Speaker 2: to be doing everything they can to kiss the ring. 200 00:11:19,200 --> 00:11:22,320 Speaker 2: That's the thing that's going to protect them from this 201 00:11:22,440 --> 00:11:26,520 Speaker 2: wave of oversight that democracies around the world have been 202 00:11:26,559 --> 00:11:33,920 Speaker 2: pushing forward. 203 00:11:39,320 --> 00:11:43,960 Speaker 1: Zuckerberg recently suggested on the Joe Rogan podcast that corporate 204 00:11:44,040 --> 00:11:49,680 Speaker 1: culture needs more masculine energy, describing it as culturally muted, 205 00:11:50,280 --> 00:11:53,480 Speaker 1: and that having a culture that celebrates the aggression a 206 00:11:53,520 --> 00:11:56,760 Speaker 1: bit more has its own merits. Now having worked in 207 00:11:56,800 --> 00:12:01,880 Speaker 1: that Silicon Valley environment, to those ring true to you. 208 00:12:01,480 --> 00:12:04,720 Speaker 2: You know, it's fascinating. So Google spent a huge amount 209 00:12:04,720 --> 00:12:06,880 Speaker 2: of money and a huge amount of effort, bringing in 210 00:12:07,320 --> 00:12:11,280 Speaker 2: data scientists, bringing sociologists, doing huge amounts of work to 211 00:12:11,280 --> 00:12:13,880 Speaker 2: figure out what makes for a highly performing team in 212 00:12:13,920 --> 00:12:16,240 Speaker 2: Silicon Valley. And the thing that they found was most 213 00:12:16,240 --> 00:12:19,200 Speaker 2: important was that people felt psychologically safe. So when you 214 00:12:19,200 --> 00:12:21,720 Speaker 2: sit there and you say we need more masculine energy, like, 215 00:12:21,760 --> 00:12:24,040 Speaker 2: what does that mean? Does it mean violent? Like you know, 216 00:12:24,160 --> 00:12:27,439 Speaker 2: active aggression, doesn't mean more yelling? Like, what's the behavior 217 00:12:27,480 --> 00:12:29,400 Speaker 2: you want to see more of in the office? You know, 218 00:12:29,600 --> 00:12:32,760 Speaker 2: I think if I were sitting at Google, you know 219 00:12:33,760 --> 00:12:36,319 Speaker 2: the thing they actively did after they did that research 220 00:12:36,480 --> 00:12:40,840 Speaker 2: was go and give their managers more EQ training because 221 00:12:41,040 --> 00:12:43,079 Speaker 2: you know, if you want to have a highly performed 222 00:12:43,160 --> 00:12:46,560 Speaker 2: team where people take risks, people have to feel psychologically safe. 223 00:12:46,600 --> 00:12:49,600 Speaker 2: So it feels just like marketing messages. It doesn't feel 224 00:12:49,640 --> 00:12:53,680 Speaker 2: like you know, a serious person actively looking at the 225 00:12:53,760 --> 00:12:56,640 Speaker 2: research that's been done on what makes teams. 226 00:12:56,400 --> 00:12:58,840 Speaker 1: Achieve, Yeah and not. The key thing we've learned in 227 00:12:58,880 --> 00:13:01,520 Speaker 1: recent ways is about the end of DEI initiatives that 228 00:13:01,600 --> 00:13:05,760 Speaker 1: the company and Meta, including removing tampons from men's toilets 229 00:13:05,800 --> 00:13:09,000 Speaker 1: that were there for trends or non binary employees. What 230 00:13:09,160 --> 00:13:12,000 Speaker 1: point are they trying to get across by doing this? 231 00:13:12,480 --> 00:13:16,920 Speaker 2: It's purely performative, right Like what harm was done by 232 00:13:16,960 --> 00:13:21,600 Speaker 2: having tampons in those laboratories? Right? Like? Who has been 233 00:13:21,640 --> 00:13:25,239 Speaker 2: damaged by this? I think one of the interesting trends 234 00:13:25,320 --> 00:13:27,560 Speaker 2: that we are going to start to see happen over 235 00:13:27,600 --> 00:13:32,439 Speaker 2: the next few years is AI encoding radically changes the 236 00:13:32,480 --> 00:13:36,160 Speaker 2: constraints the companies were built on. So let's be super 237 00:13:36,200 --> 00:13:40,160 Speaker 2: honest here. Part of why Silicon Valley companies started investing 238 00:13:40,200 --> 00:13:43,680 Speaker 2: more in these diversity initiatives is they just needed more employees. 239 00:13:44,000 --> 00:13:46,720 Speaker 2: You know, It's like the US military. The US military 240 00:13:46,800 --> 00:13:51,640 Speaker 2: cannot function today without reinstating the draft, without having women's soldiers. 241 00:13:52,559 --> 00:13:55,360 Speaker 2: It's like, you can, you can drive the limit a way, 242 00:13:55,400 --> 00:13:57,280 Speaker 2: you can drive the racial minorities away, but then we're 243 00:13:57,280 --> 00:13:58,920 Speaker 2: gonna have to bring back the draft. In the case 244 00:13:58,920 --> 00:14:01,080 Speaker 2: of Silicon value, you can't force people to work at 245 00:14:01,120 --> 00:14:03,719 Speaker 2: a tech company. But at the same time, with the 246 00:14:03,800 --> 00:14:06,640 Speaker 2: advent of AI, you don't need as many employees. Like 247 00:14:06,679 --> 00:14:09,559 Speaker 2: I think there will be companies that emerge that make 248 00:14:09,720 --> 00:14:14,200 Speaker 2: very different choices esthetically, And I'm saying esthetically because that's 249 00:14:14,280 --> 00:14:17,679 Speaker 2: what banning tampons or having tampons is in this case. Right, 250 00:14:17,679 --> 00:14:20,320 Speaker 2: you're saying, hey, we want to be a culture. The 251 00:14:20,360 --> 00:14:23,640 Speaker 2: way we envision happiness is being inclusive in the following 252 00:14:23,640 --> 00:14:26,560 Speaker 2: ways or or or not being inclusive. It's going to 253 00:14:26,600 --> 00:14:29,840 Speaker 2: be possible for some companies to actually reach reasonable scale 254 00:14:30,200 --> 00:14:32,880 Speaker 2: by just having fewer employees. And so I think one 255 00:14:32,920 --> 00:14:35,280 Speaker 2: of the things that Facebook is probably looking at is, 256 00:14:35,480 --> 00:14:38,560 Speaker 2: you know, they purge to huge number employees in twenty 257 00:14:38,560 --> 00:14:41,760 Speaker 2: twenty two. They've done it again over the last few years. 258 00:14:41,880 --> 00:14:44,120 Speaker 2: It seems like every single year they say their goal 259 00:14:44,160 --> 00:14:46,640 Speaker 2: is to decrease headcount. And they also are one of 260 00:14:46,640 --> 00:14:49,840 Speaker 2: the top companies at investing in large language models, and 261 00:14:49,880 --> 00:14:52,600 Speaker 2: so it you know, maybe they've made a decision where 262 00:14:52,640 --> 00:14:56,160 Speaker 2: they're like, we don't have to anymore be a space 263 00:14:56,200 --> 00:14:59,160 Speaker 2: that welcomes a diverse set of people because we can 264 00:14:59,200 --> 00:15:01,960 Speaker 2: get away with it with So. I don't know this 265 00:15:02,000 --> 00:15:04,000 Speaker 2: will become a larger trend. I don't know if it's 266 00:15:04,080 --> 00:15:06,720 Speaker 2: going to be. Like I mentioned before, people are going 267 00:15:06,800 --> 00:15:09,400 Speaker 2: to go by the research and say, hey, if we 268 00:15:09,480 --> 00:15:11,680 Speaker 2: want people to take risks, if we want them to 269 00:15:11,720 --> 00:15:14,320 Speaker 2: act effectually at work, we're going to create spaces where 270 00:15:14,320 --> 00:15:17,440 Speaker 2: people feel safe. But who knows, It'll be an interesting 271 00:15:17,480 --> 00:15:19,440 Speaker 2: few years to see how it all plays out. 272 00:15:23,640 --> 00:15:27,240 Speaker 4: Within days, Musk has not only moved to reshape the product, 273 00:15:27,360 --> 00:15:29,440 Speaker 4: but the company's culture itself. 274 00:15:29,800 --> 00:15:33,680 Speaker 3: What Twitter prides itself on is a real human centric, 275 00:15:34,080 --> 00:15:35,480 Speaker 3: people first mentality. 276 00:15:35,640 --> 00:15:39,800 Speaker 4: That's what Twitter Canada's then boss told us in twenty twenty. 277 00:15:40,360 --> 00:15:43,960 Speaker 4: Now Musk appears to be gutting the social media giant's 278 00:15:44,120 --> 00:15:48,120 Speaker 4: content moderation team, and research is already pointing to a 279 00:15:48,200 --> 00:15:54,440 Speaker 4: spike in racist slurs on the platform. 280 00:15:54,920 --> 00:15:57,720 Speaker 1: You described Meta back in twenty twenty one as putting 281 00:15:57,880 --> 00:16:01,800 Speaker 1: profit over safety. I think that's the case now with 282 00:16:01,880 --> 00:16:04,120 Speaker 1: the changes we're seeing coming through and where do you 283 00:16:04,160 --> 00:16:06,040 Speaker 1: see it going from he so, I think. 284 00:16:06,040 --> 00:16:08,960 Speaker 2: I think one of the major trends that Elon Musk 285 00:16:09,200 --> 00:16:12,320 Speaker 2: released on social media as a whole is when he 286 00:16:13,080 --> 00:16:15,400 Speaker 2: reduced the size of the company by over fifty percent, 287 00:16:15,520 --> 00:16:17,560 Speaker 2: he fired many of them, many of them left on 288 00:16:17,600 --> 00:16:19,920 Speaker 2: their own accord. When he reduced the size of the 289 00:16:19,960 --> 00:16:24,280 Speaker 2: company so dramatically, he ended up showing Silicon Valley that 290 00:16:24,320 --> 00:16:27,520 Speaker 2: you could cut safety and there would be no consequences. 291 00:16:27,680 --> 00:16:29,840 Speaker 2: And when we look at what Mark said in twenty 292 00:16:29,880 --> 00:16:33,560 Speaker 2: twenty two when he cut huge spots of the safety teams. 293 00:16:33,880 --> 00:16:36,560 Speaker 2: He said, Elon showed you could quote rip the band 294 00:16:36,600 --> 00:16:39,720 Speaker 2: aid off, and we're going to do it too. And 295 00:16:39,800 --> 00:16:43,760 Speaker 2: so I think there's a real feeling that there's no 296 00:16:43,760 --> 00:16:46,920 Speaker 2: one forcing them to do even slightly the right thing. Right. 297 00:16:46,920 --> 00:16:50,160 Speaker 2: If they can evade the DSA, it doesn't matter how 298 00:16:50,200 --> 00:16:52,920 Speaker 2: little they invest in safety outside the United States. If 299 00:16:52,920 --> 00:16:55,080 Speaker 2: they can get on Trump's good side, they can evade 300 00:16:55,120 --> 00:16:58,360 Speaker 2: the consequences of the lawsuits that are stalking them. And 301 00:16:58,440 --> 00:17:01,400 Speaker 2: so I think they think that they can act any 302 00:17:01,400 --> 00:17:04,040 Speaker 2: way they want to. And part of that is there 303 00:17:04,080 --> 00:17:08,000 Speaker 2: are people on the Internet who have demonized any form 304 00:17:08,040 --> 00:17:10,960 Speaker 2: of action. They've lumked everything into one pot, even though 305 00:17:11,000 --> 00:17:13,440 Speaker 2: people like me have been out here since twenty twenty 306 00:17:13,440 --> 00:17:16,240 Speaker 2: one saying, hey, Facebook knows, there's lots and lots of 307 00:17:16,280 --> 00:17:19,080 Speaker 2: ways to do safety that aren't content moderation. And those 308 00:17:19,119 --> 00:17:23,200 Speaker 2: interventions like designing for safety, making sure the products operate 309 00:17:23,280 --> 00:17:26,439 Speaker 2: holistically in ways that are safe, work much more effectively 310 00:17:26,520 --> 00:17:29,080 Speaker 2: than choosing which ideas are good or bad. But those 311 00:17:29,160 --> 00:17:32,399 Speaker 2: messages really get lost in a world where you have 312 00:17:32,680 --> 00:17:36,080 Speaker 2: so many loud voices on the Internet saying that the 313 00:17:36,119 --> 00:17:40,440 Speaker 2: word safety is synonymous with censorship, and Mark got up publicly, 314 00:17:40,640 --> 00:17:43,560 Speaker 2: you know, not more than a few weeks ago, and 315 00:17:43,640 --> 00:17:47,119 Speaker 2: said over and over again in his announcement the word censorship, 316 00:17:47,400 --> 00:17:50,600 Speaker 2: further equiting in people's mind that safety and censorship are 317 00:17:50,640 --> 00:17:51,959 Speaker 2: so intimately intertwined. 318 00:17:52,119 --> 00:17:55,040 Speaker 1: Finally, I know you've spoken about some of Australia's measures 319 00:17:55,080 --> 00:17:57,720 Speaker 1: against the likes of Facebook, but if you could speak 320 00:17:57,760 --> 00:18:01,840 Speaker 1: to New Zealand lawmakers about the dangers of social media 321 00:18:01,880 --> 00:18:04,159 Speaker 1: and algorithms, what would you tell them? 322 00:18:04,480 --> 00:18:07,480 Speaker 2: The most important thing for lawmakers to understand is that 323 00:18:07,560 --> 00:18:12,880 Speaker 2: we are facing wildly asymmetrical forces here, that open societies 324 00:18:13,000 --> 00:18:17,280 Speaker 2: are intrinsically vulnerable to be manipulated online. You know, we 325 00:18:17,640 --> 00:18:21,520 Speaker 2: value people's opinions. If you can find ways to cheaply 326 00:18:21,760 --> 00:18:24,840 Speaker 2: and at scale influence the opinions of people, you can 327 00:18:24,920 --> 00:18:27,680 Speaker 2: change the course of a democracy. And what we've seen 328 00:18:27,840 --> 00:18:31,320 Speaker 2: time and time again now either through internal forces, because 329 00:18:31,359 --> 00:18:33,600 Speaker 2: let's be honest, you know we've seen in places like 330 00:18:33,640 --> 00:18:38,240 Speaker 2: Brazil or in Argentina there are people who are very 331 00:18:38,280 --> 00:18:42,000 Speaker 2: effective at spreading their messages on social media can go 332 00:18:42,080 --> 00:18:46,320 Speaker 2: and upend a political establishment, and so demanding transparency at 333 00:18:46,359 --> 00:18:50,080 Speaker 2: a minimum for things that impact national security. That's things 334 00:18:50,119 --> 00:18:54,320 Speaker 2: like foreign interference and manipulation of our social media platforms. 335 00:18:54,440 --> 00:18:57,440 Speaker 2: Ensuring that at a minimum we get transparency on national 336 00:18:57,520 --> 00:19:01,480 Speaker 2: security issues is not a nice to have for operating 337 00:19:01,480 --> 00:19:04,440 Speaker 2: a democracy in the twenty first century. It's a must 338 00:19:04,480 --> 00:19:07,000 Speaker 2: have if you want to continue to get to be 339 00:19:07,240 --> 00:19:10,760 Speaker 2: a place where we can have public deliberations, where we 340 00:19:10,920 --> 00:19:14,119 Speaker 2: can altogether work defind what is the best path forward, 341 00:19:14,240 --> 00:19:18,200 Speaker 2: because otherwise countries they want to make us week want 342 00:19:18,200 --> 00:19:21,359 Speaker 2: to see us divided, will divide us, and we'll lose 343 00:19:21,560 --> 00:19:25,480 Speaker 2: that magic that makes our democracies so special. 344 00:19:25,600 --> 00:19:31,320 Speaker 1: Thanks for joining us, francis my pleasure. That's it for 345 00:19:31,400 --> 00:19:34,480 Speaker 1: this episode of The Front Page. You can read more 346 00:19:34,520 --> 00:19:39,200 Speaker 1: about today's stories and extensive news coverage at enzidherld dot 347 00:19:39,240 --> 00:19:42,879 Speaker 1: co dot MZ. The Front Page is produced by Ethan 348 00:19:43,040 --> 00:19:46,800 Speaker 1: Sills and Richard Martin, who is also our sound engineer. 349 00:19:47,280 --> 00:19:51,720 Speaker 1: I'm Chelsea Daniels. Subscribe to The Front Page on iHeartRadio 350 00:19:51,920 --> 00:19:55,359 Speaker 1: or wherever you get your podcasts, and tune in tomorrow 351 00:19:55,560 --> 00:19:57,680 Speaker 1: for another look behind the headlines.