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 --> 00:00:13,440 Speaker 1: of iHeartRadio and Unbossed Creative. I'm Bridget Todd and this 3 00:00:13,560 --> 00:00:18,200 Speaker 1: is there Are No Girls on the Internet. By now 4 00:00:18,239 --> 00:00:21,000 Speaker 1: you know that. On October seven, the Palestinian militant group 5 00:00:21,040 --> 00:00:25,000 Speaker 1: Hamas launched an attack on Israel. Hamas fighters entered communities 6 00:00:25,040 --> 00:00:27,640 Speaker 1: near the Gaza Strip where a music festival is happening, 7 00:00:27,960 --> 00:00:31,440 Speaker 1: killing hundreds of people and taking dozens of hostages. BBC 8 00:00:31,640 --> 00:00:34,600 Speaker 1: published a really helpful breakdown of what's going on and 9 00:00:34,600 --> 00:00:36,400 Speaker 1: how we got here that we'll put in the show notes. 10 00:00:36,960 --> 00:00:40,800 Speaker 1: BBC writes that although the attack was quote unexpected, it 11 00:00:40,840 --> 00:00:44,640 Speaker 1: came at a time of soaring Israeli Palestinian tensions. This 12 00:00:44,720 --> 00:00:47,440 Speaker 1: year has been the deadliest on record for Palestinians who 13 00:00:47,520 --> 00:00:50,320 Speaker 1: live in the Israeli occupied West Bank, which could have 14 00:00:50,360 --> 00:00:54,600 Speaker 1: motivated Hamas to strike Israel with a spectacular attack. Now, 15 00:00:55,000 --> 00:00:59,400 Speaker 1: this whole situation is truly heartbreaking. It is heartbreaking to 16 00:00:59,440 --> 00:01:01,680 Speaker 1: hear about the laws of life in Israel, and it's 17 00:01:01,720 --> 00:01:04,360 Speaker 1: heartbreaking to hear about what's happening to the Palestinian people. 18 00:01:04,920 --> 00:01:08,240 Speaker 1: According to Axios, more than one thousand, five hundred and 19 00:01:08,240 --> 00:01:12,000 Speaker 1: thirty Palestinians and one thousand, two hundred Israelis have been killed. 20 00:01:12,480 --> 00:01:14,959 Speaker 1: Thousands more have been injured since the latest fighting between 21 00:01:15,040 --> 00:01:17,720 Speaker 1: Israel and Hamas began. Hamas is believed to be holding 22 00:01:17,760 --> 00:01:20,760 Speaker 1: about one hundred and fifty hostages in Gaza. The UN 23 00:01:20,880 --> 00:01:24,160 Speaker 1: Office for the Coordination of Humanitarian Affairs set on Friday 24 00:01:24,200 --> 00:01:27,240 Speaker 1: the number of Palestinians displaced in Gaza has risen to 25 00:01:27,280 --> 00:01:30,280 Speaker 1: over four hundred and twenty three thousand amid the intensified 26 00:01:30,319 --> 00:01:33,280 Speaker 1: fighting and the things seem to be getting worse quickly. 27 00:01:33,640 --> 00:01:37,120 Speaker 1: According to Axios, the Israeli Ministry of Defense and the 28 00:01:37,160 --> 00:01:40,760 Speaker 1: IDEF notified the human to evacuate its staff and to 29 00:01:40,840 --> 00:01:44,080 Speaker 1: notify Palestinians living in northern Gaza that they should evacuate 30 00:01:44,240 --> 00:01:45,960 Speaker 1: the southern part of the Gaza Strip in the next 31 00:01:45,959 --> 00:01:49,360 Speaker 1: twenty four hours, which is really not something they could do. 32 00:01:50,040 --> 00:01:53,040 Speaker 1: We're talking about over a million people, So yeah, it 33 00:01:53,080 --> 00:01:57,080 Speaker 1: is a bad situation that is escalating quickly and making 34 00:01:57,240 --> 00:02:00,440 Speaker 1: everything worse. Is that Twitter, which at one time was 35 00:02:00,480 --> 00:02:03,320 Speaker 1: the best place to follow rapidly changing global news and 36 00:02:03,360 --> 00:02:06,120 Speaker 1: to get updates from folks on the ground during complex 37 00:02:06,160 --> 00:02:11,200 Speaker 1: situations like this one, is completely broken. It's full of insidiary, 38 00:02:11,320 --> 00:02:15,280 Speaker 1: inflammatory and false claims, and to me, it really taps 39 00:02:15,320 --> 00:02:18,800 Speaker 1: into so much about what I know about disinformation, especially 40 00:02:18,840 --> 00:02:22,840 Speaker 1: how disinformation functions to tap into emotional tense situations like 41 00:02:22,880 --> 00:02:26,680 Speaker 1: this one. Now, this obviously is not new, but what 42 00:02:26,880 --> 00:02:29,720 Speaker 1: does feel new is just how bad things are now. 43 00:02:30,200 --> 00:02:33,560 Speaker 1: Twitter is a platform that has always had its problems. 44 00:02:33,600 --> 00:02:35,080 Speaker 1: I will be the first person to tell you about 45 00:02:35,080 --> 00:02:38,120 Speaker 1: all of them. But before Elon Musk, it used to 46 00:02:38,120 --> 00:02:41,000 Speaker 1: be the best platform for following breaking news stories as 47 00:02:41,040 --> 00:02:44,280 Speaker 1: they unfolded. But now Twitter is simply not a place 48 00:02:44,360 --> 00:02:47,800 Speaker 1: I can recommend people follow to get accurate information, Like 49 00:02:47,880 --> 00:02:49,720 Speaker 1: I honestly feel like I need to say that one 50 00:02:49,760 --> 00:02:53,040 Speaker 1: more time and really emphasize it. At this point, I 51 00:02:53,080 --> 00:02:56,600 Speaker 1: think whatever you read on Twitter, especially whatever you read 52 00:02:56,600 --> 00:03:00,160 Speaker 1: about this specific conflict between Hamas and Israel, need to 53 00:03:00,200 --> 00:03:02,639 Speaker 1: be taken with a huge grain of salt and really 54 00:03:02,720 --> 00:03:06,200 Speaker 1: read with skepticism and critical thinking because Twitter is simply 55 00:03:06,280 --> 00:03:09,760 Speaker 1: no longer a platform where accurate information can be counted on. 56 00:03:10,280 --> 00:03:13,400 Speaker 1: And yes, you know, all social media platforms are like 57 00:03:13,440 --> 00:03:16,400 Speaker 1: this to a degree. When some new diet fad or 58 00:03:16,520 --> 00:03:19,600 Speaker 1: new diet tip pops up on TikTok. You should definitely 59 00:03:19,639 --> 00:03:22,160 Speaker 1: be wary of just taking it at face value. We've 60 00:03:22,160 --> 00:03:24,960 Speaker 1: always known that about information we get on social media, 61 00:03:25,080 --> 00:03:28,639 Speaker 1: but what's going on with Twitter specifically is different. As 62 00:03:28,639 --> 00:03:32,880 Speaker 1: someone who studies disinformation and media, it is unlike anything 63 00:03:32,919 --> 00:03:35,360 Speaker 1: I have ever seen, and I'm hearing the same thing 64 00:03:35,400 --> 00:03:39,360 Speaker 1: from other folks in the disinformation space too, like political scientists. 65 00:03:39,360 --> 00:03:44,040 Speaker 1: Ian Bremmer, the president of Eurasia Group, a political risk consultancy, wrote, quote, 66 00:03:44,160 --> 00:03:47,880 Speaker 1: the level of disinformation on Israel Hamas war being algorithmically 67 00:03:47,880 --> 00:03:51,080 Speaker 1: promoted on Twitter is unlike anything I've ever been exposed 68 00:03:51,120 --> 00:03:54,480 Speaker 1: to in my career as a political scientist. Justin Penden, 69 00:03:54,640 --> 00:03:58,560 Speaker 1: an open source intelligence researcher, wrote, for many reasons, this 70 00:03:58,640 --> 00:04:01,160 Speaker 1: is the hardest time I've ever had covering a crisis 71 00:04:01,200 --> 00:04:04,360 Speaker 1: on here. Credible links are now photos on the ground. 72 00:04:04,440 --> 00:04:07,440 Speaker 1: News outlets struggle to reach audiences without an expensive blue 73 00:04:07,520 --> 00:04:10,920 Speaker 1: check mark. Xenophobic goons are boosted by the platform. CEO 74 00:04:11,640 --> 00:04:15,120 Speaker 1: end times, folks, And that's really what I've been seeing 75 00:04:15,120 --> 00:04:17,560 Speaker 1: while trying to cover this on Twitter. You know, trying 76 00:04:17,600 --> 00:04:19,440 Speaker 1: to make heads or tails of what's going on via 77 00:04:19,520 --> 00:04:23,000 Speaker 1: Twitter necessitates so far beyond what you would think of 78 00:04:23,080 --> 00:04:25,599 Speaker 1: as the normal critical thinking that we should all be 79 00:04:25,600 --> 00:04:28,520 Speaker 1: expected to have when we're engaging with content online. It 80 00:04:28,600 --> 00:04:31,640 Speaker 1: is basically impossible to find out what's going on, make 81 00:04:31,720 --> 00:04:33,760 Speaker 1: sense of it, and find out what's true and what's not. 82 00:04:34,120 --> 00:04:36,880 Speaker 1: It's like Elon Musk's Twitter policies have turned Twitter into 83 00:04:36,880 --> 00:04:39,320 Speaker 1: a place where nobody can tell what is going on 84 00:04:39,440 --> 00:04:42,159 Speaker 1: and what the truth is, and honestly, it seems like 85 00:04:42,240 --> 00:04:44,840 Speaker 1: that is by design. I know that we joke about 86 00:04:44,839 --> 00:04:46,560 Speaker 1: this a lot on the podcast, and I think it 87 00:04:46,600 --> 00:04:49,400 Speaker 1: really comes from a place of like laugh to keep 88 00:04:49,400 --> 00:04:53,960 Speaker 1: from crying, But this week was a really sobering reminder, 89 00:04:54,000 --> 00:04:56,960 Speaker 1: at least for me, that this is real. The stakes 90 00:04:57,000 --> 00:05:00,640 Speaker 1: are real, the stakes are very high, and I really 91 00:05:00,880 --> 00:05:03,479 Speaker 1: have to say something that might not sound like me 92 00:05:03,839 --> 00:05:05,880 Speaker 1: or like I usually sound on the podcast, which is 93 00:05:05,920 --> 00:05:09,560 Speaker 1: that we are simply not prepared for how bad this is. 94 00:05:09,880 --> 00:05:12,760 Speaker 1: We are simply not prepared for how much worse this 95 00:05:12,839 --> 00:05:16,360 Speaker 1: could get. So there are a few specific new Twitter 96 00:05:16,400 --> 00:05:19,039 Speaker 1: policies under Elon Musk that I think are responsible for 97 00:05:19,040 --> 00:05:22,560 Speaker 1: where we are today. The first is Elon's pay for 98 00:05:22,600 --> 00:05:25,800 Speaker 1: a Verification scheme, where folks pay eight dollars to get 99 00:05:25,800 --> 00:05:28,960 Speaker 1: blue check marks, it obscures who is a credible person, 100 00:05:29,520 --> 00:05:33,480 Speaker 1: and people who pay for verification get their content algorithmically 101 00:05:33,520 --> 00:05:37,480 Speaker 1: amplified on the platform. Next is the new monetization scheme, 102 00:05:37,560 --> 00:05:40,240 Speaker 1: where people can get paid for how much engagement their 103 00:05:40,240 --> 00:05:43,240 Speaker 1: tweets get, And then last is that legit news articles 104 00:05:43,320 --> 00:05:46,000 Speaker 1: now just show up as pictures with no text, thus 105 00:05:46,040 --> 00:05:48,640 Speaker 1: making them hard to get any context at all when 106 00:05:48,640 --> 00:05:51,479 Speaker 1: scrolling by them. All of this has led to Twitter 107 00:05:51,520 --> 00:05:53,960 Speaker 1: feeling like a place where you really cannot make heads 108 00:05:54,040 --> 00:05:57,080 Speaker 1: or tails of anything, which is especially troubling when it 109 00:05:57,080 --> 00:06:01,800 Speaker 1: comes to an emotionally charged, highly polarized, ongoing conflict like 110 00:06:01,839 --> 00:06:04,200 Speaker 1: the one that we're seeing now. So one of the 111 00:06:04,200 --> 00:06:07,640 Speaker 1: biggest issues is that it's just very difficult to verify 112 00:06:07,839 --> 00:06:10,479 Speaker 1: what is being said on Twitter right now in a 113 00:06:10,520 --> 00:06:13,640 Speaker 1: crisis or a breaking new situation. The most important bit 114 00:06:13,680 --> 00:06:16,880 Speaker 1: of digital hygiene that one can practice is not amplifying 115 00:06:16,960 --> 00:06:20,400 Speaker 1: or spreading claims that are unverified, especially big claims that 116 00:06:20,400 --> 00:06:23,120 Speaker 1: are sure to trigger an emotional response. It is a 117 00:06:23,160 --> 00:06:25,599 Speaker 1: personal standard that I try to live by when I'm online, 118 00:06:25,760 --> 00:06:27,920 Speaker 1: though it's often difficult just due to the nature of 119 00:06:27,960 --> 00:06:30,720 Speaker 1: how social media platforms work. You know. I think Twitter 120 00:06:30,800 --> 00:06:33,280 Speaker 1: is especially prone to making us want to move very 121 00:06:33,320 --> 00:06:37,400 Speaker 1: quickly because the platform has historically moved very quickly. So 122 00:06:37,440 --> 00:06:40,320 Speaker 1: it takes a little bit of like mindfulness and I 123 00:06:40,360 --> 00:06:43,920 Speaker 1: guess deprogramming to make yourself move a little bit slower 124 00:06:43,960 --> 00:06:46,400 Speaker 1: and actually take a few steps to verify whatever you're 125 00:06:46,400 --> 00:06:50,039 Speaker 1: seeing before just quickly smashing that retweet button. But on 126 00:06:50,080 --> 00:06:54,440 Speaker 1: Twitter right now, verifying claims before spreading them is near impossible. 127 00:06:54,800 --> 00:06:56,760 Speaker 1: It used to be much easier, and that was one 128 00:06:56,800 --> 00:06:59,520 Speaker 1: of the good things about having a legit verification program 129 00:06:59,680 --> 00:07:02,960 Speaker 1: pre elon Musk, because if somebody had a blue check mark, 130 00:07:03,120 --> 00:07:05,920 Speaker 1: you could click on their profile and be reasonably sure 131 00:07:05,960 --> 00:07:07,720 Speaker 1: they were who they said they were. You know, you 132 00:07:07,720 --> 00:07:09,760 Speaker 1: click on a journalist account with a blue check mark, 133 00:07:09,960 --> 00:07:12,360 Speaker 1: at least you know, hey, the person making this claim 134 00:07:12,600 --> 00:07:15,680 Speaker 1: has been verified to work at XYZ news, organization that 135 00:07:15,760 --> 00:07:19,080 Speaker 1: probably has some kind of journalistic standards. If they tweet 136 00:07:19,120 --> 00:07:21,720 Speaker 1: something that is wrong, they will probably correct it or 137 00:07:21,760 --> 00:07:25,200 Speaker 1: have some kind of accountability around it. But now anyone 138 00:07:25,200 --> 00:07:27,360 Speaker 1: can buy a blue check mark, which ensures that more 139 00:07:27,400 --> 00:07:29,800 Speaker 1: of us will see their tweets because people who buy 140 00:07:29,800 --> 00:07:33,520 Speaker 1: blue check marks have their content algorithmically prioritized on this 141 00:07:33,640 --> 00:07:36,280 Speaker 1: new version of Twitter, And even though we all had 142 00:07:36,280 --> 00:07:39,680 Speaker 1: that campaign of delegitimizing and like making fun of people 143 00:07:39,760 --> 00:07:42,640 Speaker 1: who bought blue check marks, I do still feel like 144 00:07:42,760 --> 00:07:45,320 Speaker 1: we might have a holdover feeling of a blue check 145 00:07:45,360 --> 00:07:49,440 Speaker 1: mark indicating accuracy, especially in times of crisis, because in 146 00:07:49,480 --> 00:07:51,760 Speaker 1: a crisis, we're all moving quickly, just trying to quickly 147 00:07:51,840 --> 00:07:55,440 Speaker 1: verify information, so it might take another moment or another 148 00:07:55,480 --> 00:07:57,800 Speaker 1: additional layer of scrutiny for us to be like, wait, 149 00:07:57,880 --> 00:08:01,000 Speaker 1: this blue check mark is actually meaningless. I shouldn't distrust 150 00:08:01,040 --> 00:08:03,680 Speaker 1: what this person is saying at face value just because 151 00:08:03,720 --> 00:08:06,120 Speaker 1: they have the blue check mark. It's just another way 152 00:08:06,160 --> 00:08:08,360 Speaker 1: that one of the very few guardrails that we had 153 00:08:08,400 --> 00:08:11,120 Speaker 1: to depend on has now been removed, and how risky 154 00:08:11,160 --> 00:08:14,880 Speaker 1: that is during times of crisis or confusion. So there 155 00:08:14,880 --> 00:08:16,880 Speaker 1: are a few big claims that I saw about the 156 00:08:16,880 --> 00:08:20,160 Speaker 1: attack on Israel that I was working to verify before amplifying. 157 00:08:20,640 --> 00:08:22,320 Speaker 1: But one that I want to focus on is one 158 00:08:22,320 --> 00:08:24,560 Speaker 1: that you might have heard, which is that hamas quote 159 00:08:24,680 --> 00:08:28,680 Speaker 1: beheaded forty infants. Cat ten Barge and Melissa chan Over 160 00:08:28,680 --> 00:08:31,600 Speaker 1: at NBC had a really good breakdown of trying to 161 00:08:31,680 --> 00:08:35,680 Speaker 1: verify this claim. Their piece was published on Thursday. We're 162 00:08:35,679 --> 00:08:38,880 Speaker 1: recording this on Friday morning. This is a developing situation, 163 00:08:39,080 --> 00:08:41,920 Speaker 1: so whatever I'm about to say, things might change after 164 00:08:41,960 --> 00:08:44,720 Speaker 1: we actually publish this episode, so keep that in mind. 165 00:08:45,400 --> 00:08:48,560 Speaker 1: NBC dug into where these viral claims about beheading babies 166 00:08:48,600 --> 00:08:51,400 Speaker 1: came from and what we know about them now they right. 167 00:08:52,040 --> 00:08:55,280 Speaker 1: An IDEA of spokesperson told Business Insider on Tuesday that 168 00:08:55,360 --> 00:08:58,679 Speaker 1: soldiers had found decapitated babies, but said Wednesday that it 169 00:08:58,679 --> 00:09:02,000 Speaker 1: would not investigate or pervide further evidence regarding the claim. 170 00:09:02,200 --> 00:09:04,880 Speaker 1: Late Wednesday, an IDF spokesperson sat on a video on 171 00:09:04,920 --> 00:09:08,400 Speaker 1: Twitter that the IDF had relative confidence of the claims. 172 00:09:08,920 --> 00:09:12,360 Speaker 1: But on Wednesday, a spokesperson for Israeli Prime Minister Benjamin 173 00:09:12,400 --> 00:09:15,440 Speaker 1: net Yahoo told CNN that babies and toddlers were found 174 00:09:15,480 --> 00:09:18,880 Speaker 1: with their heads decapitated in southern Israel after Hamas's attack, 175 00:09:19,280 --> 00:09:22,840 Speaker 1: But Thursday morning, an Israeli official told CNN the government 176 00:09:22,880 --> 00:09:25,800 Speaker 1: had not confirmed claims of the beheadings. A senior State 177 00:09:25,840 --> 00:09:28,480 Speaker 1: Department official said Thursday morning the agency was not in 178 00:09:28,520 --> 00:09:31,960 Speaker 1: a position to confirm the beheading claims now. The nbcpiece 179 00:09:32,000 --> 00:09:34,600 Speaker 1: suggests that the claim about the forty babies being beheaded 180 00:09:34,960 --> 00:09:38,520 Speaker 1: came from one news report kind of being telephoned into 181 00:09:38,520 --> 00:09:42,000 Speaker 1: something else after it blew up on Twitter. Mark Owens Jones, 182 00:09:42,040 --> 00:09:44,640 Speaker 1: an associate professor of Middle East Studies at Hamad bin 183 00:09:44,679 --> 00:09:48,480 Speaker 1: Khalifa University and cutter who studies misinformation, told NBC News 184 00:09:48,480 --> 00:09:50,880 Speaker 1: that he found the source of the forty beheaded babies 185 00:09:51,280 --> 00:09:55,520 Speaker 1: allegations largely stemmed from one viral Israeli news broadcast clip 186 00:09:55,800 --> 00:09:59,000 Speaker 1: from I twenty four News that did not specifically refer 187 00:09:59,080 --> 00:10:02,800 Speaker 1: to that allegation. Nicole Zadek, a correspondent for the privately 188 00:10:02,800 --> 00:10:05,559 Speaker 1: owned Israeli news outlet I twenty four News, said in 189 00:10:05,600 --> 00:10:08,720 Speaker 1: the video that Israeli soldiers told her that they'd found 190 00:10:08,840 --> 00:10:11,920 Speaker 1: quote babies their heads cut off. The video has been 191 00:10:12,040 --> 00:10:14,280 Speaker 1: viewed more than eleven million times on Twitter, according to 192 00:10:14,320 --> 00:10:18,160 Speaker 1: its viewcounter, which might be inaccurate because Twitter might be 193 00:10:18,240 --> 00:10:21,200 Speaker 1: inflating their reviewcounts. That's a conversation to a different day. 194 00:10:21,600 --> 00:10:24,480 Speaker 1: In another tweet, Zendeck wrote that the soldiers told her 195 00:10:24,520 --> 00:10:28,320 Speaker 1: that they believe quote forty babies slash children were killed, 196 00:10:28,720 --> 00:10:32,720 Speaker 1: not beheaded specifically. Mark Owen Jones said that somehow those 197 00:10:32,760 --> 00:10:36,280 Speaker 1: two bits of information about a baby being found beheaded 198 00:10:36,559 --> 00:10:40,200 Speaker 1: and forty babies or children being killed were connected, so 199 00:10:40,320 --> 00:10:43,320 Speaker 1: the story became forty babies were beheaded and in the 200 00:10:43,320 --> 00:10:45,920 Speaker 1: British press today about six or seven newspapers had it 201 00:10:45,960 --> 00:10:49,480 Speaker 1: on their front pages. An Idea of spokesperson Dorian Spielman 202 00:10:49,720 --> 00:10:52,199 Speaker 1: told NBC News on Tuesday that he could not confirm 203 00:10:52,320 --> 00:10:55,200 Speaker 1: I twenty four news's report, but this did not keep 204 00:10:55,240 --> 00:10:59,000 Speaker 1: that claim from being repeated by President Biden, who said quote, 205 00:10:59,080 --> 00:11:01,520 Speaker 1: I never really thought I would see and have confirmed 206 00:11:01,520 --> 00:11:04,840 Speaker 1: pictures of terrorists beheading children. But soon after the White 207 00:11:04,880 --> 00:11:07,880 Speaker 1: House clarified that Biden was referring to reports from Israel 208 00:11:07,920 --> 00:11:11,319 Speaker 1: about beheaded children and cited several media reports of beheadings. 209 00:11:11,600 --> 00:11:14,600 Speaker 1: So why are these claims such a big deal? Because 210 00:11:14,640 --> 00:11:17,120 Speaker 1: now they've kind of become part of how we understand 211 00:11:17,160 --> 00:11:20,160 Speaker 1: what's happening, whether it's accurate or not, and they become 212 00:11:20,200 --> 00:11:23,400 Speaker 1: part of the justification for escalation and sort of just 213 00:11:23,440 --> 00:11:26,880 Speaker 1: become the truth of the situation, whether or not it 214 00:11:26,920 --> 00:11:30,000 Speaker 1: is grounded in fact. And BC reported that on Wednesday, 215 00:11:30,040 --> 00:11:33,600 Speaker 1: the phrase did Hamas kill babies saw the biggest increase 216 00:11:33,640 --> 00:11:36,000 Speaker 1: in search interest on Google of anything related to the 217 00:11:36,000 --> 00:11:39,480 Speaker 1: war and that forty babies beheaded claim had over forty 218 00:11:39,480 --> 00:11:43,880 Speaker 1: four million impressions on Twitter. Now, these claims are obviously 219 00:11:44,200 --> 00:11:48,679 Speaker 1: highly emotionally resonant and disturbing. It's the kind of specific 220 00:11:48,760 --> 00:11:51,320 Speaker 1: details that would get an emotional rise out of anyone. 221 00:11:51,800 --> 00:11:55,080 Speaker 1: But right now, as of Friday morning, I cannot tell 222 00:11:55,080 --> 00:11:58,400 Speaker 1: you whether this incredibly viral claim that it's dominated the 223 00:11:58,400 --> 00:12:01,520 Speaker 1: conversation is actually true or not. It might be true, 224 00:12:01,640 --> 00:12:03,959 Speaker 1: it might be false, it might be somewhere in the middle. 225 00:12:04,160 --> 00:12:06,240 Speaker 1: And it strikes me that we ought to be able 226 00:12:06,240 --> 00:12:09,559 Speaker 1: to verify a claim that forty four million different people 227 00:12:09,600 --> 00:12:12,800 Speaker 1: engaged with, and like, I'm not even really sure how 228 00:12:12,840 --> 00:12:16,120 Speaker 1: to describe this, but I have seen this vibe on 229 00:12:16,160 --> 00:12:19,280 Speaker 1: Twitter where people are kind of pushing back against the 230 00:12:19,320 --> 00:12:22,880 Speaker 1: idea that journalists would even need to or want to 231 00:12:22,960 --> 00:12:26,400 Speaker 1: verify this claim before amplifying it, kind of making it 232 00:12:26,400 --> 00:12:29,240 Speaker 1: seem like verifying it is a way to minimize the 233 00:12:29,280 --> 00:12:32,600 Speaker 1: horror of the situation. And I think that really shows 234 00:12:32,960 --> 00:12:36,040 Speaker 1: the danger of making these kind of specific claims if 235 00:12:36,040 --> 00:12:39,559 Speaker 1: they are not verified, because ultimately it makes the conversation 236 00:12:39,679 --> 00:12:42,360 Speaker 1: about that specific claim. You know that x amount of 237 00:12:42,360 --> 00:12:45,320 Speaker 1: babies were killed in ex specific horrific way, and it 238 00:12:45,360 --> 00:12:48,199 Speaker 1: becomes about trying to find out if that specific claim 239 00:12:48,360 --> 00:12:50,920 Speaker 1: is true or not, you know, tracing the origins, researching it, 240 00:12:50,960 --> 00:12:54,360 Speaker 1: all of that so that one specific, big claim becomes 241 00:12:54,400 --> 00:12:56,760 Speaker 1: a sticking point that kind of takes us away from 242 00:12:56,760 --> 00:13:01,120 Speaker 1: the larger conversation because here's the thing, that situation is 243 00:13:01,280 --> 00:13:05,560 Speaker 1: truly awful. We don't need to add highly emotionally charged, 244 00:13:05,640 --> 00:13:10,600 Speaker 1: specific unsubstantiated claims to the conversation to understand that. And ultimately, 245 00:13:10,880 --> 00:13:12,920 Speaker 1: I think that is the kind of climate that bad 246 00:13:12,960 --> 00:13:16,000 Speaker 1: actors want, where it doesn't really matter what the truth is. 247 00:13:16,360 --> 00:13:18,080 Speaker 1: It's how we get to a world where the truth 248 00:13:18,160 --> 00:13:20,800 Speaker 1: and facts and the reality of what happened kind of 249 00:13:20,880 --> 00:13:21,480 Speaker 1: don't matter. 250 00:13:24,720 --> 00:13:36,800 Speaker 2: Let's take a quick break at our back. 251 00:13:38,920 --> 00:13:41,560 Speaker 1: So another kind of complex claim that I want to 252 00:13:41,559 --> 00:13:44,040 Speaker 1: dig into that I saw on Twitter is that Black 253 00:13:44,040 --> 00:13:48,360 Speaker 1: Lives Matter is celebrating the attack on Israel. So Black 254 00:13:48,400 --> 00:13:52,040 Speaker 1: Lives Matter Chicago published a graphic depicting a Hamas militant 255 00:13:52,080 --> 00:13:55,760 Speaker 1: in a parachute. The militants used parachutes in the initial 256 00:13:55,800 --> 00:13:59,520 Speaker 1: attack on October seventh, obviously, the implication being that they 257 00:13:59,520 --> 00:14:02,680 Speaker 1: were afying the attack. So I saw this tweet with 258 00:14:02,720 --> 00:14:05,200 Speaker 1: my own eyes. So it is not in dispute that 259 00:14:05,240 --> 00:14:08,760 Speaker 1: a Twitter account associated with Black Lives Matter Chicago did 260 00:14:08,840 --> 00:14:11,400 Speaker 1: in fact tweet it out. But something that I know 261 00:14:11,720 --> 00:14:14,920 Speaker 1: is that when people say Black Lives Matter as an entity, 262 00:14:15,240 --> 00:14:18,120 Speaker 1: they could be referring to a few different things. You know, 263 00:14:18,280 --> 00:14:21,640 Speaker 1: there is the Black Lives Matter Global Network Foundation, which 264 00:14:21,720 --> 00:14:25,320 Speaker 1: is a nonprofit organization with all of the nonprofit like 265 00:14:25,480 --> 00:14:29,360 Speaker 1: paperwork and certifications from the government like nine nineties, that 266 00:14:29,480 --> 00:14:32,600 Speaker 1: was founded by Patrice Colors, opal Toametti and Alicia Garza. 267 00:14:33,000 --> 00:14:37,040 Speaker 1: There's Black Lives Matter state affiliates, There's people or groups 268 00:14:37,040 --> 00:14:39,880 Speaker 1: who are sort of loosely associated with Black Lives Matter, 269 00:14:40,280 --> 00:14:43,280 Speaker 1: and then there's Black Lives Matter kind of the movement, 270 00:14:43,400 --> 00:14:45,720 Speaker 1: you know, where you may have somebody who has no 271 00:14:45,800 --> 00:14:49,640 Speaker 1: official affiliation with any one organized group but is in 272 00:14:49,760 --> 00:14:53,480 Speaker 1: solidarity with racial justice sort of generally and sort of 273 00:14:53,520 --> 00:14:55,280 Speaker 1: as a side note. One of the ways that we've 274 00:14:55,360 --> 00:14:57,800 Speaker 1: kind of gotten here is through this vibe where anybody 275 00:14:57,800 --> 00:15:01,440 Speaker 1: who is protesting against racial justice was being called quote, 276 00:15:01,480 --> 00:15:05,320 Speaker 1: a Black Lives Matter activist, regardless of their affiliation with 277 00:15:05,360 --> 00:15:08,680 Speaker 1: the actual organization, which just kind of created this nebulous 278 00:15:08,720 --> 00:15:11,760 Speaker 1: idea that anybody who was black and against racial justice 279 00:15:12,000 --> 00:15:14,720 Speaker 1: was somehow affiliated with Black Lives Matter, even if they 280 00:15:14,720 --> 00:15:18,640 Speaker 1: weren't so. A Twitter account called black Lives Matter Chicago did, 281 00:15:18,720 --> 00:15:22,920 Speaker 1: in fact tweet out this image within picture of a 282 00:15:23,000 --> 00:15:26,440 Speaker 1: Hamas fighter in a parachute, kind of glorifying the attack, 283 00:15:27,040 --> 00:15:30,720 Speaker 1: and lots of people, you know, even elected officials, were 284 00:15:30,840 --> 00:15:34,360 Speaker 1: condemning it, saying, oh, black Lives Matter is despicable for 285 00:15:34,480 --> 00:15:39,040 Speaker 1: celebrating this attack on Israel and specifically saying things like, oh, well, 286 00:15:39,120 --> 00:15:41,800 Speaker 1: this is why I never supported Black Lives Matter, or 287 00:15:42,240 --> 00:15:45,640 Speaker 1: you know, black Lives Matter is anti Semitic, all of that. 288 00:15:46,000 --> 00:15:49,360 Speaker 1: But on October tenth, the Black Lives Matter Global Network, 289 00:15:49,400 --> 00:15:53,120 Speaker 1: which is the Black Lives Matter nonprofit organization, basically said 290 00:15:53,320 --> 00:15:56,400 Speaker 1: we have no affiliation with that account. The statement reads, 291 00:15:56,720 --> 00:15:58,480 Speaker 1: it has come to our attention that a number of 292 00:15:58,560 --> 00:16:01,280 Speaker 1: right wing media outlets and far right moguls have been 293 00:16:01,320 --> 00:16:05,200 Speaker 1: falsely claiming that Black Lives Matter organization issued those statements 294 00:16:05,440 --> 00:16:08,160 Speaker 1: and then falsely claiming that Black Lives Matter showed up 295 00:16:08,160 --> 00:16:12,240 Speaker 1: for Hermas and yet another effort to spread ANTIBLM propaganda 296 00:16:12,320 --> 00:16:15,960 Speaker 1: based on screenshots from fake independent Twitter and Instagram, BLM 297 00:16:16,040 --> 00:16:19,360 Speaker 1: branded accounts on social media please be advised the actual 298 00:16:19,440 --> 00:16:23,080 Speaker 1: Black Lives Matter organization, black Lives Matter Global Network, LLC, 299 00:16:23,560 --> 00:16:26,080 Speaker 1: has not issued any statement in regard to the Israel 300 00:16:26,120 --> 00:16:29,080 Speaker 1: Palestine conflict at all, and there are no plans to. 301 00:16:29,720 --> 00:16:33,080 Speaker 1: BLM Chicago is an independently run Twitter account that is 302 00:16:33,160 --> 00:16:36,120 Speaker 1: run by one individual and does not have any association 303 00:16:36,480 --> 00:16:39,160 Speaker 1: with our company at all, nor is that Twitter account 304 00:16:39,200 --> 00:16:42,520 Speaker 1: run by our organization, So any statement from any BLM 305 00:16:42,560 --> 00:16:45,920 Speaker 1: branded account on social media claiming to support Palestine did 306 00:16:45,960 --> 00:16:49,000 Speaker 1: not come from our organization. Since day one of this war, 307 00:16:49,160 --> 00:16:52,360 Speaker 1: high profile right wing media moguls on Twitter have been 308 00:16:52,400 --> 00:16:55,560 Speaker 1: falsely trying to blame link BLM and Black people to 309 00:16:55,600 --> 00:16:58,920 Speaker 1: this Israel Palestine conflict. There are literally over one hundred 310 00:16:58,920 --> 00:17:02,960 Speaker 1: different BLM branded Twitter and Instagram accounts. People and independent 311 00:17:03,000 --> 00:17:05,639 Speaker 1: online city chapters use our logo and brand for clout 312 00:17:05,960 --> 00:17:08,439 Speaker 1: and to get more attention to their pages. We have 313 00:17:08,480 --> 00:17:11,920 Speaker 1: no legal ability to stop this. We have previously consulted 314 00:17:11,960 --> 00:17:14,200 Speaker 1: with lawyers to stop others from using the Black Lives 315 00:17:14,200 --> 00:17:16,960 Speaker 1: Matter branding and logo so that we cannot be blamed 316 00:17:17,000 --> 00:17:19,720 Speaker 1: in the event one of these accounts says something controversial, 317 00:17:20,080 --> 00:17:22,720 Speaker 1: but have not been successful in shutting down these fake 318 00:17:22,920 --> 00:17:26,640 Speaker 1: BLM accounts. So literally, anyone can create a Black Lives 319 00:17:26,720 --> 00:17:30,520 Speaker 1: Matter branded account, No social media account from the actual 320 00:17:30,560 --> 00:17:33,400 Speaker 1: Black Lives Matter organization will be issuing support or any 321 00:17:33,400 --> 00:17:37,440 Speaker 1: press release regards to the Israel Palestine conflict at all. 322 00:17:37,840 --> 00:17:40,960 Speaker 1: So basically, Black Lives Matter of the organization is saying 323 00:17:41,440 --> 00:17:43,119 Speaker 1: this has nothing to do with us, This is just 324 00:17:43,240 --> 00:17:47,280 Speaker 1: one person acting independently. The Black Lives Matter Chicago accounts 325 00:17:47,320 --> 00:17:50,160 Speaker 1: spent the last few days after posting the image defending 326 00:17:50,160 --> 00:17:53,440 Speaker 1: it until eventually they deleted it, saying, yesterday we sent 327 00:17:53,480 --> 00:17:55,679 Speaker 1: out messages that we aren't proud of. We stand with 328 00:17:55,760 --> 00:17:57,920 Speaker 1: Palestine and the people who will do what they must 329 00:17:57,920 --> 00:18:00,800 Speaker 1: to live free. Our hearts are with the grieving mothers, 330 00:18:01,040 --> 00:18:03,879 Speaker 1: those rescuing babies from rubble who are in danger of 331 00:18:03,920 --> 00:18:08,080 Speaker 1: being wiped out completely. But the damage is already done. 332 00:18:08,160 --> 00:18:10,680 Speaker 1: People seized on that one post and used at the 333 00:18:10,720 --> 00:18:13,560 Speaker 1: paint all of Black Lives Matter or anyone even loosely 334 00:18:13,600 --> 00:18:17,679 Speaker 1: affiliated with it, or really anybody black as endorsing that post. 335 00:18:17,920 --> 00:18:20,520 Speaker 1: And of course this was just used to further stoke 336 00:18:20,680 --> 00:18:24,399 Speaker 1: existing divisions. Lots of people were using that one social 337 00:18:24,400 --> 00:18:27,200 Speaker 1: media post as a justification for where they don't support 338 00:18:27,320 --> 00:18:30,280 Speaker 1: racial justice. People tweeted that they were made to feel 339 00:18:30,280 --> 00:18:32,960 Speaker 1: like they had to support Black Lives Matter back in 340 00:18:33,000 --> 00:18:36,440 Speaker 1: twenty twenty and making it seem like now Black Lives Matter, 341 00:18:36,520 --> 00:18:39,959 Speaker 1: and really black people in general were endorsing what happened 342 00:18:40,000 --> 00:18:44,119 Speaker 1: in Israel. Bad actors like the mostly Peaceful Meme account 343 00:18:44,160 --> 00:18:46,080 Speaker 1: on Twitter, which is verified and has almost half a 344 00:18:46,080 --> 00:18:50,119 Speaker 1: million followers, replied to Black Lives Matter Chicago's posts saying 345 00:18:50,800 --> 00:18:53,720 Speaker 1: at mentioning Chick fil A, asking do you approve this 346 00:18:53,840 --> 00:18:56,600 Speaker 1: message with a link showing that Chick fil a donated 347 00:18:56,640 --> 00:19:00,440 Speaker 1: money to black nonprofits? Did Chick fil A donate money 348 00:19:00,480 --> 00:19:04,399 Speaker 1: to Black Lives Matter or any Black Lives Matter affiliated organization? No, 349 00:19:04,600 --> 00:19:06,880 Speaker 1: they didn't. If you go to Chick fil A's website 350 00:19:06,880 --> 00:19:10,280 Speaker 1: about the donations, the recipients are organizations like the Precious 351 00:19:10,359 --> 00:19:14,320 Speaker 1: Lamb School, which supports babies who are experiencing homelessness. But 352 00:19:14,400 --> 00:19:17,359 Speaker 1: the implication is that they are somehow associated with Black 353 00:19:17,400 --> 00:19:20,560 Speaker 1: Lives Matter just because they are a black nonprofit, and 354 00:19:20,600 --> 00:19:23,840 Speaker 1: thus they are responsible or need to answer for this 355 00:19:23,960 --> 00:19:27,440 Speaker 1: one person's tweet and that Chick fil A also needs 356 00:19:27,480 --> 00:19:30,520 Speaker 1: to answer for it too, because of their quote association 357 00:19:30,680 --> 00:19:32,840 Speaker 1: with them. Now, this is something that we need to 358 00:19:32,840 --> 00:19:37,040 Speaker 1: be very very aware of. Bad actors will always use 359 00:19:37,119 --> 00:19:39,840 Speaker 1: moments like these to try to exploit and inflame our 360 00:19:40,040 --> 00:19:44,199 Speaker 1: very real existing tensions. Bad actors do not want us 361 00:19:44,280 --> 00:19:46,880 Speaker 1: to be in solidarity with each other. They want us 362 00:19:46,960 --> 00:19:50,080 Speaker 1: to be divided. They will exploit and inflame those divisions. 363 00:19:50,080 --> 00:19:52,919 Speaker 1: Because when we're operating from a place of solidarity with 364 00:19:52,960 --> 00:19:55,879 Speaker 1: each other, we are much less likely to fall for 365 00:19:55,920 --> 00:19:58,880 Speaker 1: their lives. So now more than ever, we all need 366 00:19:58,880 --> 00:20:01,680 Speaker 1: to be operating from a place of empathy and genuine 367 00:20:01,720 --> 00:20:04,000 Speaker 1: solidarity with each other. That is the only way to 368 00:20:04,040 --> 00:20:08,040 Speaker 1: confront this. So there's unverified or difficult to verify claims, 369 00:20:08,280 --> 00:20:10,760 Speaker 1: But we also have the issue of just fake or 370 00:20:10,800 --> 00:20:15,600 Speaker 1: intentionally misrepresented claims flooding Twitter right now. On Saturday, a 371 00:20:15,720 --> 00:20:19,119 Speaker 1: doctored White House news release posted online falsely claimed that 372 00:20:19,160 --> 00:20:23,199 Speaker 1: Biden had authorized eight billion dollars in emergency a to Israel. 373 00:20:23,880 --> 00:20:25,840 Speaker 1: The fact that it was fake did not stop it 374 00:20:25,880 --> 00:20:28,399 Speaker 1: from being posted across the Internet and rising to the 375 00:20:28,400 --> 00:20:31,639 Speaker 1: top of Google search results. NBC reported that one of 376 00:20:31,640 --> 00:20:34,680 Speaker 1: the first results on Google is a false article from 377 00:20:34,680 --> 00:20:38,720 Speaker 1: the Mumbai based publication first post. The article appeared on 378 00:20:38,760 --> 00:20:42,359 Speaker 1: the top stories module on Google, alongside articles by Axios 379 00:20:42,359 --> 00:20:44,560 Speaker 1: and The Wall Street Journal. Even though it's fake, it 380 00:20:44,600 --> 00:20:47,199 Speaker 1: did not stop several news outlets from writing it up 381 00:20:47,240 --> 00:20:49,240 Speaker 1: as if it were a real story, and then those 382 00:20:49,280 --> 00:20:52,280 Speaker 1: news reports showing up with high prominence on Google Search. 383 00:20:52,680 --> 00:20:56,280 Speaker 1: Verified accounts on Twitter were then sharing this fake White 384 00:20:56,320 --> 00:21:00,360 Speaker 1: House report. And keep in mind, verified accounts are eligible 385 00:21:00,400 --> 00:21:03,520 Speaker 1: for Twitter's revenue sharing scheme if elon pays up, that is, 386 00:21:04,000 --> 00:21:06,560 Speaker 1: and that means they can make money off of spreading 387 00:21:06,600 --> 00:21:08,880 Speaker 1: lies and are incentivized to post things that get lots 388 00:21:08,920 --> 00:21:12,440 Speaker 1: of eyeballs. Post sharing the fake document and its claims, 389 00:21:12,640 --> 00:21:15,439 Speaker 1: many of which are still up, have accrued hundreds of 390 00:21:15,440 --> 00:21:18,920 Speaker 1: thousands of views on the platform. We've also seen several 391 00:21:18,960 --> 00:21:22,320 Speaker 1: instances of old videos from older conflicts, or videos that 392 00:21:22,359 --> 00:21:25,000 Speaker 1: are not even related to the conflict at all, being 393 00:21:25,040 --> 00:21:28,040 Speaker 1: repurposed on Twitter with claims that they are from the 394 00:21:28,119 --> 00:21:32,920 Speaker 1: current conflict. Shahan sar Darazade, journalists for BBC Verify, has 395 00:21:32,960 --> 00:21:36,600 Speaker 1: even found video game footage being posted on Twitter purporting 396 00:21:36,640 --> 00:21:39,720 Speaker 1: to show the conflict. Think about that. You know, video 397 00:21:39,760 --> 00:21:43,439 Speaker 1: games are designed specifically to look engaging in cinematic so 398 00:21:43,520 --> 00:21:46,359 Speaker 1: of course when those videos are put on Twitter, they're 399 00:21:46,359 --> 00:21:48,919 Speaker 1: going to rack up engagement and spread far and wide. 400 00:21:49,359 --> 00:21:53,199 Speaker 1: It's basically an engagement farm. These accounts are incentivized by 401 00:21:53,200 --> 00:21:57,560 Speaker 1: Twitter's current monetization program to tell these outlandish lies because 402 00:21:57,600 --> 00:21:59,000 Speaker 1: they know they can make money from it. 403 00:22:01,880 --> 00:22:02,800 Speaker 2: More. After a quick. 404 00:22:02,600 --> 00:22:17,360 Speaker 1: Break, let's get right back into it. So, as we've 405 00:22:17,359 --> 00:22:19,360 Speaker 1: talked about a lot of the futures that would help 406 00:22:19,440 --> 00:22:22,119 Speaker 1: curb the spread of an accurate information on Twitter, Elon 407 00:22:22,200 --> 00:22:25,680 Speaker 1: has either gotten rid of or really scaled back. Instead, 408 00:22:26,000 --> 00:22:28,720 Speaker 1: he has promoted the Community Notes program, where people can 409 00:22:28,760 --> 00:22:32,600 Speaker 1: add notes to posts to give more context. So how's 410 00:22:32,640 --> 00:22:37,720 Speaker 1: that going well? As NBC's Bengogon reports, not well. The 411 00:22:37,760 --> 00:22:41,639 Speaker 1: systems community Notes relies on improved volunteers to suggest notes 412 00:22:41,680 --> 00:22:44,639 Speaker 1: to be appended to posts. Those posts are then voted 413 00:22:44,680 --> 00:22:47,520 Speaker 1: on by other volunteers and eventually published after they reach 414 00:22:47,520 --> 00:22:50,240 Speaker 1: a certain threshold of helpful votes from people with different 415 00:22:50,240 --> 00:22:52,800 Speaker 1: points of view. According to Twitter, this is just a 416 00:22:53,040 --> 00:22:58,320 Speaker 1: really ineffective way to fact check things, and basically it 417 00:22:58,400 --> 00:23:01,720 Speaker 1: sounds like there is just too much inaccurate information on 418 00:23:01,800 --> 00:23:05,040 Speaker 1: Twitter right now. That the Community Notes program just cannot 419 00:23:05,119 --> 00:23:08,040 Speaker 1: keep up. NBC looked at two viral claims related to 420 00:23:08,080 --> 00:23:10,879 Speaker 1: the conflict, the Doctorated Press released saying that Biden had 421 00:23:10,920 --> 00:23:13,959 Speaker 1: approved billions in aid and a debunked claim that an 422 00:23:14,040 --> 00:23:17,840 Speaker 1: Orthodox church in Gaza was destroyed. Only eight percent of 423 00:23:17,840 --> 00:23:20,479 Speaker 1: one hundred and twenty posts related to those stories had 424 00:23:20,520 --> 00:23:24,200 Speaker 1: published community notes, while twenty six percent had unpublished notes 425 00:23:24,240 --> 00:23:27,360 Speaker 1: from volunteers that had yet to be approved. About two 426 00:23:27,440 --> 00:23:30,320 Speaker 1: thirds of the top post NBC News reviewed had no 427 00:23:30,520 --> 00:23:34,959 Speaker 1: proposed or published community notes on them. So just debunked 428 00:23:35,400 --> 00:23:40,360 Speaker 1: false information with no fact check or note whatsoever on 429 00:23:40,440 --> 00:23:45,560 Speaker 1: Twitter to be viewed, amplified, spread, and monetized. Kim Picazio, 430 00:23:45,800 --> 00:23:49,480 Speaker 1: a community notes volunteer, wrote on Instagram threads all weekend 431 00:23:49,480 --> 00:23:52,840 Speaker 1: we were furiously vetting, writing and approving community notes on 432 00:23:52,960 --> 00:23:56,600 Speaker 1: hundreds of posts which were demonstrably fake news. It took 433 00:23:56,640 --> 00:23:59,040 Speaker 1: two plus days for the back room to press whatever 434 00:23:59,080 --> 00:24:01,600 Speaker 1: button to find only make all of our warnings publicly 435 00:24:01,680 --> 00:24:04,800 Speaker 1: viewable by that time, you know the rest of that sentence. 436 00:24:05,080 --> 00:24:07,800 Speaker 1: Pacazio told NBC News that she ended up just tweeting 437 00:24:07,800 --> 00:24:11,440 Speaker 1: out proposed community notes herself in response to misinformation out 438 00:24:11,440 --> 00:24:16,080 Speaker 1: of total frustration. Which I completely understand that frustration, because 439 00:24:16,240 --> 00:24:19,199 Speaker 1: this system does not work, and it seems like Twitter 440 00:24:19,240 --> 00:24:22,080 Speaker 1: has kind of realized that it's not working. According to 441 00:24:22,119 --> 00:24:25,560 Speaker 1: a post from at community Notes on October third, Twitter wrote, 442 00:24:25,720 --> 00:24:28,399 Speaker 1: starting today, notes will appear on average of one point 443 00:24:28,440 --> 00:24:31,240 Speaker 1: five hours faster, and as much as three point five 444 00:24:31,280 --> 00:24:35,720 Speaker 1: hours faster in some cases. Twitter's new maybe CEO, Linda 445 00:24:35,800 --> 00:24:39,439 Speaker 1: Yakarino added, community notes now appear more quickly on x 446 00:24:39,600 --> 00:24:43,160 Speaker 1: They're a vital tool for adding context, of combating potential misinformation. 447 00:24:43,520 --> 00:24:46,520 Speaker 1: Become part of this important community. And I just find 448 00:24:46,520 --> 00:24:49,320 Speaker 1: it gross that she is talking about this like it's 449 00:24:49,320 --> 00:24:52,359 Speaker 1: some cool new bell or whistle that people should be 450 00:24:52,400 --> 00:24:56,919 Speaker 1: excited about, as opposed to an obviously ineffective way to 451 00:24:57,000 --> 00:25:00,600 Speaker 1: approach what should be a standard infrastructure of how platform 452 00:25:00,600 --> 00:25:04,200 Speaker 1: as important as Twitter should be responsibly run. Because here's 453 00:25:04,240 --> 00:25:06,800 Speaker 1: the thing. Twitter should not be depending on a crew 454 00:25:06,840 --> 00:25:10,720 Speaker 1: of frustrated volunteers to ensure that false information that could 455 00:25:10,760 --> 00:25:14,400 Speaker 1: actually put people's lives in danger is not being amplified 456 00:25:14,440 --> 00:25:17,400 Speaker 1: and monetized on the platform they run. You know, these 457 00:25:17,440 --> 00:25:20,560 Speaker 1: people are volunteers, are not even being paid, And even 458 00:25:20,560 --> 00:25:23,720 Speaker 1: Elon Musk seemed to see this as an issue, he tweeted, 459 00:25:23,960 --> 00:25:26,080 Speaker 1: as always, please try to stay as close to the 460 00:25:26,080 --> 00:25:29,159 Speaker 1: truth as possible, even for stuff you don't like. But 461 00:25:29,240 --> 00:25:31,760 Speaker 1: that was after he himself was telling his forty four 462 00:25:31,800 --> 00:25:35,520 Speaker 1: million followers to follow accounts known for amplifying lies in 463 00:25:35,560 --> 00:25:39,879 Speaker 1: anti semitism. Must suggested that folks follow War Monitors and 464 00:25:40,119 --> 00:25:43,440 Speaker 1: scent Defender quote for following the war in real time, 465 00:25:43,840 --> 00:25:46,359 Speaker 1: but both of these accounts spread a false claim that 466 00:25:46,400 --> 00:25:48,400 Speaker 1: there had been an explosion near the White House back 467 00:25:48,440 --> 00:25:51,640 Speaker 1: in May, and the War Monitors account that Elon suggested 468 00:25:51,640 --> 00:25:55,080 Speaker 1: folks follow has a history of posting anti Semitic comments 469 00:25:55,080 --> 00:25:57,919 Speaker 1: on Twitter. The account replied to a post from Kanye 470 00:25:57,960 --> 00:26:02,160 Speaker 1: Wes during his anti Semitic meltdown, adding quote the overwhelming 471 00:26:02,160 --> 00:26:05,280 Speaker 1: majority of people in the media and banks are Zionists, 472 00:26:05,480 --> 00:26:09,120 Speaker 1: while telling another Twitter user in June to go worship 473 00:26:09,160 --> 00:26:12,840 Speaker 1: a jew little bro Now. Musk did eventually delete that 474 00:26:12,920 --> 00:26:15,800 Speaker 1: post suggesting that people follow those two accounts for news 475 00:26:15,840 --> 00:26:18,240 Speaker 1: about the conflict, but he did so after it was 476 00:26:18,359 --> 00:26:21,119 Speaker 1: up for three hours and viewed by eleven million people. 477 00:26:21,760 --> 00:26:25,240 Speaker 1: So to be clear, I think this is particularly bad 478 00:26:25,359 --> 00:26:28,720 Speaker 1: on Twitter right now, and I'm not alone. Business insiders 479 00:26:28,720 --> 00:26:31,640 Speaker 1: spoke to Sandra vander Linden, a professor at the University 480 00:26:31,640 --> 00:26:35,120 Speaker 1: of Cambridge and author A fool Proof Why Misinformation Infects 481 00:26:35,119 --> 00:26:37,760 Speaker 1: Our Minds and How to Build Immunity, who said I 482 00:26:37,800 --> 00:26:39,840 Speaker 1: would be fairly confident to say that a lot of 483 00:26:39,840 --> 00:26:41,800 Speaker 1: what we're seeing right now is a direct result of 484 00:26:41,840 --> 00:26:45,040 Speaker 1: the policy changes that were implemented by Musk. Vander Linden 485 00:26:45,080 --> 00:26:48,200 Speaker 1: said that Musk's early changes to the platform, including gutting 486 00:26:48,240 --> 00:26:51,480 Speaker 1: the trust and Safety team, changing the verification process, and 487 00:26:51,520 --> 00:26:56,120 Speaker 1: introducing monetized content, are not only allowing but also motivating 488 00:26:56,160 --> 00:26:58,960 Speaker 1: the supread of misinformation on the platform. The fact that 489 00:26:59,000 --> 00:27:02,000 Speaker 1: people with verified a cat can monetize their content means 490 00:27:02,000 --> 00:27:05,000 Speaker 1: they have the wrong incentive, he said. They're incentivized to 491 00:27:05,040 --> 00:27:08,560 Speaker 1: spread content that's going to get engagement, clicks and ultimately 492 00:27:08,680 --> 00:27:12,280 Speaker 1: make them money. Whatever polarizing images they can find, whether 493 00:27:12,320 --> 00:27:15,600 Speaker 1: it's real or fake, is going to elicit clicks, which 494 00:27:15,640 --> 00:27:17,240 Speaker 1: I think is part of how we got to where 495 00:27:17,240 --> 00:27:19,800 Speaker 1: we are today. Now, there might be a silver lining 496 00:27:19,800 --> 00:27:24,000 Speaker 1: because a change might be coming. EU Commissioner Theory Breton 497 00:27:24,240 --> 00:27:26,840 Speaker 1: served Musk and other social media platforms with a letter 498 00:27:27,080 --> 00:27:29,439 Speaker 1: giving them twenty four hours to comply with our request 499 00:27:29,480 --> 00:27:32,720 Speaker 1: for information about how Twitter is following EU's Digital Services Act, 500 00:27:33,000 --> 00:27:36,040 Speaker 1: which has very strict rules about how platform handle inaccurate 501 00:27:36,080 --> 00:27:39,959 Speaker 1: information and material from extremist groups. And of course, because 502 00:27:40,080 --> 00:27:44,000 Speaker 1: it's Elon Musk we're talking about, Musk basically tried to 503 00:27:44,119 --> 00:27:48,119 Speaker 1: bait Theory Brenton into a public fight, demanding that the 504 00:27:48,119 --> 00:27:51,520 Speaker 1: EU publicly posts the violations that Twitter is responsible for, 505 00:27:51,960 --> 00:27:55,280 Speaker 1: which like, give me a break, Like you can just 506 00:27:55,359 --> 00:27:57,800 Speaker 1: look with your eyes and see the violations that Twitter 507 00:27:57,880 --> 00:28:00,919 Speaker 1: res responsible for. Like anybody who was been on Twitter 508 00:28:00,960 --> 00:28:03,080 Speaker 1: at all the last week could probably tell you, or 509 00:28:03,160 --> 00:28:05,880 Speaker 1: you could just listen to this podcast. So why does 510 00:28:05,920 --> 00:28:09,280 Speaker 1: any of this matter? Well, Twitter has historically been a 511 00:28:09,320 --> 00:28:12,600 Speaker 1: platform where elected officials and policy and newsmakers spend a 512 00:28:12,600 --> 00:28:14,639 Speaker 1: lot of time. These are the folks who are getting 513 00:28:14,640 --> 00:28:17,560 Speaker 1: a lot of their information from Twitter. So if it's 514 00:28:17,560 --> 00:28:22,080 Speaker 1: full of emotionally charged, inaccurate information that is impossible to verify, 515 00:28:22,359 --> 00:28:25,320 Speaker 1: that's really not good. And when you add in things 516 00:28:25,400 --> 00:28:29,000 Speaker 1: like AI generated deep fake images, I think it's only 517 00:28:29,040 --> 00:28:31,520 Speaker 1: going to get worse. And this is one of the 518 00:28:31,520 --> 00:28:36,360 Speaker 1: reasons why our digital ecosystem just feels so irreparably broken. 519 00:28:36,880 --> 00:28:40,040 Speaker 1: We have a real problem if one billionaire can single 520 00:28:40,080 --> 00:28:43,320 Speaker 1: handedly buy one of our most important platforms for information 521 00:28:43,680 --> 00:28:47,840 Speaker 1: and not just make it useless but dangerous. So what 522 00:28:47,880 --> 00:28:51,240 Speaker 1: can we do in the meantime? Well, I will repeat 523 00:28:51,240 --> 00:28:54,160 Speaker 1: this until the cows come home. Twitter is not your 524 00:28:54,240 --> 00:28:57,920 Speaker 1: friend right now. Do not take anything that you see 525 00:28:58,000 --> 00:29:01,160 Speaker 1: on Twitter right now at face value. You, especially if 526 00:29:01,200 --> 00:29:03,800 Speaker 1: you do not have an hour to spend doing background 527 00:29:03,840 --> 00:29:07,800 Speaker 1: research into whatever claim you're seeing there now, to be clear, 528 00:29:08,360 --> 00:29:11,200 Speaker 1: that is not right. That should not be the standard. 529 00:29:11,760 --> 00:29:16,000 Speaker 1: Everyday people should not have to do that level of research, 530 00:29:16,240 --> 00:29:19,320 Speaker 1: you know, while they're scrolling their morning coffee, just to 531 00:29:19,440 --> 00:29:23,600 Speaker 1: verify what they're seeing. We deserve a digital media landscape 532 00:29:23,640 --> 00:29:26,480 Speaker 1: that you can trust within reason. We shouldn't have to 533 00:29:26,520 --> 00:29:30,360 Speaker 1: do any of this. We deserve a better platform. But 534 00:29:30,520 --> 00:29:33,600 Speaker 1: until then, it is so important that all of us 535 00:29:33,680 --> 00:29:37,719 Speaker 1: really understand how bad Twitter has gotten and act accordingly. 536 00:29:38,440 --> 00:29:41,320 Speaker 1: Look to trusted news sources for information about the conflict 537 00:29:41,600 --> 00:29:45,760 Speaker 1: Beyond Twitter, professional journalists at established outlets that have standards, 538 00:29:46,160 --> 00:29:49,040 Speaker 1: And while you should always be thinking critically about everything 539 00:29:49,080 --> 00:29:52,320 Speaker 1: that you read in general, you can usually have confidence 540 00:29:52,360 --> 00:29:55,560 Speaker 1: that a big, established media outlet or newspaper is going 541 00:29:55,560 --> 00:29:59,160 Speaker 1: to verify facts before printing them. And the last thing 542 00:29:59,200 --> 00:30:01,800 Speaker 1: I'll leave you with is just the importance of all 543 00:30:01,840 --> 00:30:04,880 Speaker 1: of us leading with empathy right now. You know, people 544 00:30:04,960 --> 00:30:09,400 Speaker 1: are suffering, people are scared, people are mourning, and things 545 00:30:09,480 --> 00:30:13,560 Speaker 1: are likely about to get worse. Bad actors they are 546 00:30:13,640 --> 00:30:17,040 Speaker 1: counting on us giving into that fear, that anxiety, that 547 00:30:17,120 --> 00:30:21,280 Speaker 1: distrust and that chaos and really being reactionary. Those are 548 00:30:21,520 --> 00:30:26,560 Speaker 1: perfect conditions for people who are interested in spreading lies 549 00:30:26,640 --> 00:30:29,160 Speaker 1: and chaos. And the best thing we can do in 550 00:30:29,160 --> 00:30:32,000 Speaker 1: this climate is have empathy for each other and move 551 00:30:32,120 --> 00:30:36,200 Speaker 1: in genuine solidarity with one another, because we really are 552 00:30:36,240 --> 00:30:38,800 Speaker 1: stronger together and that's the only way that we're going 553 00:30:38,840 --> 00:30:45,680 Speaker 1: to make it through. Got a story about an interesting 554 00:30:45,720 --> 00:30:47,720 Speaker 1: thing in tech, or just want to say hi? You 555 00:30:47,760 --> 00:30:50,040 Speaker 1: can reach us at Hello at tegody dot com. You 556 00:30:50,040 --> 00:30:52,960 Speaker 1: can also find transcripts for today's episode at tengoity dot com. 557 00:30:53,280 --> 00:30:54,920 Speaker 1: There Are No Girls on the Internet was created by 558 00:30:54,960 --> 00:30:58,320 Speaker 1: me Bridgitad. It's a production of iHeartRadio and Unbossed creative 559 00:30:58,720 --> 00:31:01,719 Speaker 1: Jonathan Stricklet as our executive producer. Tari Harrison is our 560 00:31:01,760 --> 00:31:05,240 Speaker 1: producer and sound engineer. Michael Almato is our contributing producer, 561 00:31:05,520 --> 00:31:08,200 Speaker 1: I'm your host, Bridget Todd. If you want to help 562 00:31:08,240 --> 00:31:09,520 Speaker 1: us grow, rate and review. 563 00:31:09,360 --> 00:31:10,480 Speaker 2: Us on Apple Podcasts. 564 00:31:11,160 --> 00:31:14,000 Speaker 1: For more podcasts from iHeartRadio, check out the iHeartRadio app, 565 00:31:14,000 --> 00:31:26,600 Speaker 1: Apple Podcasts, or wherever you get your podcasts