1 00:00:00,440 --> 00:00:02,880 Speaker 1: The other day, I was on Pinterest and it linked 2 00:00:02,960 --> 00:00:06,240 Speaker 1: me to a latch hook rug. I was trying to 3 00:00:06,280 --> 00:00:07,200 Speaker 1: make a. 4 00:00:07,240 --> 00:00:11,280 Speaker 2: Rug from yarn scraps. Why do you have yarn scraps? 5 00:00:11,800 --> 00:00:13,800 Speaker 1: I don't have them yet, Okay, I was gonna get them. 6 00:00:13,840 --> 00:00:14,760 Speaker 1: I want to make something. 7 00:00:14,960 --> 00:00:17,439 Speaker 2: Oh my god, where are you gonna? Who do do 8 00:00:17,480 --> 00:00:19,280 Speaker 2: people purchase yarn scraps? 9 00:00:19,440 --> 00:00:21,080 Speaker 1: No, but that's the problem. 10 00:00:21,280 --> 00:00:24,480 Speaker 2: So you gotta knit or something and then have leftover 11 00:00:24,600 --> 00:00:27,760 Speaker 2: yarn and then you can make the rug. 12 00:00:28,000 --> 00:00:30,080 Speaker 1: I don't listen. I saw it on Pinterest. It was 13 00:00:30,520 --> 00:00:33,279 Speaker 1: a latchuk rug or it was a punch needle. I 14 00:00:33,440 --> 00:00:35,519 Speaker 1: was really liking all of those fiber arts, and I said, oh, 15 00:00:35,520 --> 00:00:38,080 Speaker 1: I'm gonna watch your tutorial on YouTube. And when I 16 00:00:38,080 --> 00:00:42,400 Speaker 1: got to YouTube, it was all presidential election twenty twenty. 17 00:00:42,960 --> 00:00:45,360 Speaker 1: YouTube looked defer Rent. Okay. 18 00:00:45,640 --> 00:00:49,520 Speaker 2: Same. Every time I get on Twitter, I can't even 19 00:00:49,560 --> 00:00:55,400 Speaker 2: scroll like one thumb up without somebody tweeting about the election. 20 00:00:55,880 --> 00:00:59,480 Speaker 2: And I'm like, I just want to see tweets about versus. 21 00:00:59,800 --> 00:01:04,360 Speaker 2: I just want to see tweets about, you know, Lovecraft country. 22 00:01:05,000 --> 00:01:09,200 Speaker 2: I need a break from all of that. I'm TT 23 00:01:09,400 --> 00:01:35,480 Speaker 2: and I'm Zachiah and from Spotify. This is dope Labs. 24 00:01:36,240 --> 00:01:39,760 Speaker 1: I'm getting a lot of information about the election, and 25 00:01:40,040 --> 00:01:43,479 Speaker 1: it's just everywhere. I'm having an election burnout. 26 00:01:43,520 --> 00:01:46,720 Speaker 2: Right, It's haunting my dreams two more months ago. It 27 00:01:46,720 --> 00:01:50,200 Speaker 2: feels like an eternity away, Like twenty twenty is the 28 00:01:50,280 --> 00:01:53,000 Speaker 2: longest year of all time. I feel like two months 29 00:01:53,040 --> 00:01:55,840 Speaker 2: into election, I mean, how old am I going to 30 00:01:55,880 --> 00:01:56,640 Speaker 2: be in two months? 31 00:01:56,800 --> 00:01:57,440 Speaker 1: Forty seven? 32 00:01:57,640 --> 00:01:59,760 Speaker 2: Definitely at least forty seven. 33 00:02:00,080 --> 00:02:04,000 Speaker 1: And the ads are not stopping on these different platforms. 34 00:02:04,000 --> 00:02:06,559 Speaker 1: It's not stopping at YouTube, it's not stopping with people 35 00:02:06,560 --> 00:02:10,200 Speaker 1: tweeting stuff. I'm also getting text messages. First of all, 36 00:02:10,240 --> 00:02:13,239 Speaker 1: my name is not William, but the messages are saying, 37 00:02:13,400 --> 00:02:16,960 Speaker 1: like them cities are burning, what are you going to do? 38 00:02:16,960 --> 00:02:19,200 Speaker 1: And I'm like, what is happening? Is this about what's 39 00:02:19,200 --> 00:02:22,440 Speaker 1: happening in California? I don't think so, right, what's going on? 40 00:02:23,080 --> 00:02:26,160 Speaker 2: I'm getting text messages from all over They're like the 41 00:02:26,200 --> 00:02:27,840 Speaker 2: Great State of North Carolina. I'm like, I don't live 42 00:02:27,880 --> 00:02:28,600 Speaker 2: in North Carolina. 43 00:02:28,720 --> 00:02:31,359 Speaker 1: Somebody has got something mixed up along the way. 44 00:02:31,200 --> 00:02:32,919 Speaker 2: There's something mixed up, and so I'll respond, I'm like, 45 00:02:32,919 --> 00:02:34,600 Speaker 2: I don't live in North Carolina. They're like, okay, I'll 46 00:02:34,600 --> 00:02:37,520 Speaker 2: remove you from our list. Then the next day I 47 00:02:37,520 --> 00:02:39,799 Speaker 2: get three more text messages about North Carolina where the 48 00:02:39,840 --> 00:02:41,560 Speaker 2: polls are in North Carolina. Doesn't help me. 49 00:02:42,200 --> 00:02:44,600 Speaker 1: Man, When you just said okay, I'll remove you from 50 00:02:44,639 --> 00:02:47,119 Speaker 1: our list, I felt so optimistic. I picked up my phone. 51 00:02:47,160 --> 00:02:49,720 Speaker 1: I was ready to reply to every spam message I received. 52 00:02:49,800 --> 00:02:53,200 Speaker 2: No, they don't remove you. They just keep going. They 53 00:02:53,280 --> 00:02:57,440 Speaker 2: just keep going. Today's lab is all about political ads. 54 00:02:57,240 --> 00:03:00,360 Speaker 1: Specifically how political ads play a role in our greater 55 00:03:00,520 --> 00:03:05,320 Speaker 1: political behavior, and the strategies that are used to make 56 00:03:05,440 --> 00:03:07,760 Speaker 1: political ads. Let's get into the recitation. 57 00:03:08,400 --> 00:03:09,600 Speaker 2: So what do we know? 58 00:03:10,120 --> 00:03:14,080 Speaker 1: We know political advertising has been around since American government 59 00:03:14,120 --> 00:03:14,720 Speaker 1: has been around. 60 00:03:14,720 --> 00:03:18,079 Speaker 2: Basically, Yes, I saw Hamilton and they were definitely using 61 00:03:18,120 --> 00:03:18,919 Speaker 2: political ads. 62 00:03:21,440 --> 00:03:22,760 Speaker 1: But things have changed a little bit. 63 00:03:23,080 --> 00:03:25,119 Speaker 2: Yeah, Because I mean when you think back to when 64 00:03:25,120 --> 00:03:27,560 Speaker 2: we were young, you would see, you know, political ads 65 00:03:27,560 --> 00:03:29,840 Speaker 2: on television, you would hear them on the radio. But 66 00:03:30,040 --> 00:03:34,680 Speaker 2: now with Facebook and YouTube and Instagram and all these 67 00:03:34,680 --> 00:03:37,880 Speaker 2: things like that, they've got a lot of different ways 68 00:03:38,000 --> 00:03:40,480 Speaker 2: to hit us with the political ads. 69 00:03:40,800 --> 00:03:44,000 Speaker 1: And even though it feels like the election season is 70 00:03:44,160 --> 00:03:46,640 Speaker 1: longer than it used to be, for some reason. I 71 00:03:46,640 --> 00:03:48,560 Speaker 1: don't know if it's because we were all at home, 72 00:03:48,760 --> 00:03:51,920 Speaker 1: but I feel like it's been politics NonStop and it 73 00:03:52,000 --> 00:03:54,640 Speaker 1: may feel like it couldn't be possible, but it seems 74 00:03:54,680 --> 00:03:56,960 Speaker 1: like the ads are ramping up the closer and closer 75 00:03:57,000 --> 00:03:58,000 Speaker 1: we get to the election. 76 00:03:58,360 --> 00:04:02,160 Speaker 2: Absolutely, I'm getting to messages literally every day. 77 00:04:02,320 --> 00:04:04,160 Speaker 1: Well what do we want to know? 78 00:04:04,480 --> 00:04:07,040 Speaker 2: Well, I want to know the history of political ads 79 00:04:07,080 --> 00:04:09,040 Speaker 2: and how they've changed over time. 80 00:04:09,440 --> 00:04:12,120 Speaker 1: And I'm interested in the different objectives like what do 81 00:04:12,160 --> 00:04:14,440 Speaker 1: you think this text message is going to do? 82 00:04:14,880 --> 00:04:17,479 Speaker 2: And I think another important thing to figure out is 83 00:04:17,520 --> 00:04:21,320 Speaker 2: what actually gets people to act? So after they see 84 00:04:21,880 --> 00:04:24,680 Speaker 2: an ad in whatever form, what is it about the 85 00:04:24,760 --> 00:04:28,080 Speaker 2: ad that gets them to do something about what they 86 00:04:28,200 --> 00:04:32,200 Speaker 2: just saw? And what assumptions are there about how people 87 00:04:32,200 --> 00:04:32,679 Speaker 2: will act? 88 00:04:33,080 --> 00:04:36,720 Speaker 1: And then just thinking about once you know what gets 89 00:04:36,720 --> 00:04:39,360 Speaker 1: people to act, how are you leveraging technology? So has 90 00:04:39,400 --> 00:04:43,360 Speaker 1: social media given these campaigns an advantage? Right? 91 00:04:43,600 --> 00:04:43,640 Speaker 3: It? 92 00:04:44,279 --> 00:04:46,680 Speaker 1: Is there something about social media that's better than more 93 00:04:46,720 --> 00:04:50,160 Speaker 1: traditional forms of ads. I imagine it's more responsive than 94 00:04:50,160 --> 00:04:50,760 Speaker 1: a billboard. 95 00:04:51,240 --> 00:04:55,120 Speaker 2: But how that's a really good question, like and do 96 00:04:55,160 --> 00:04:58,880 Speaker 2: they work? Do political ads work? Are they changing folks' minds? 97 00:04:58,960 --> 00:05:01,000 Speaker 1: I'll say, when I see too me the ads, I'm 98 00:05:01,040 --> 00:05:04,680 Speaker 1: turned off. So is there a risk? 99 00:05:04,960 --> 00:05:07,400 Speaker 2: Is there a limit? Like, yeah, do people get tired 100 00:05:07,440 --> 00:05:09,480 Speaker 2: of seeing the same ad over and over again? I 101 00:05:09,520 --> 00:05:12,960 Speaker 2: think that's true for some people, But I guess we 102 00:05:13,000 --> 00:05:15,680 Speaker 2: got to find out. Let's jump into the dissection. 103 00:05:18,160 --> 00:05:20,520 Speaker 1: So we're switching things up today and we're bringing in 104 00:05:20,600 --> 00:05:24,039 Speaker 1: not just one, but two guest experts to talk to 105 00:05:24,120 --> 00:05:27,280 Speaker 1: us through the complexity and nuance of political advertising. 106 00:05:27,760 --> 00:05:30,320 Speaker 2: Our first guest is doctor Cheryl Laird. 107 00:05:30,600 --> 00:05:33,479 Speaker 3: My name is Cheryl Laird. I am a professor of 108 00:05:33,520 --> 00:05:35,839 Speaker 3: Government and Legal Studies at Voden College. 109 00:05:36,000 --> 00:05:40,080 Speaker 1: Doctor Laired's research is based on political behavior, specifically black 110 00:05:40,160 --> 00:05:43,839 Speaker 1: political behavior and how that relates to public opinion. So 111 00:05:43,880 --> 00:05:46,680 Speaker 1: she's really focused on the consumer side of political ads. 112 00:05:46,880 --> 00:05:49,360 Speaker 1: How do ads affect a person's behavior. 113 00:05:49,720 --> 00:05:52,320 Speaker 2: Our second guest is Jenna Golden. Hi. 114 00:05:52,400 --> 00:05:55,920 Speaker 4: My name is Jenna Golden, and I work with companies 115 00:05:56,480 --> 00:05:59,719 Speaker 4: and organizations that are looking to better understand how to 116 00:05:59,800 --> 00:06:04,720 Speaker 4: tap into the advertising ecosystem in Washington, DC. Prior to this, 117 00:06:04,880 --> 00:06:08,160 Speaker 4: I ran the political and advocacy sales team at Twitter. 118 00:06:08,240 --> 00:06:11,159 Speaker 2: So while doctor Laird focuses on the receiving end and 119 00:06:11,240 --> 00:06:15,080 Speaker 2: the effect of political ads. Jenna Golden focuses more on 120 00:06:15,120 --> 00:06:19,080 Speaker 2: the advertiser side, working on things like strategy, and. 121 00:06:19,040 --> 00:06:21,520 Speaker 1: We're going to talk about those strategies and their effect 122 00:06:21,839 --> 00:06:23,160 Speaker 1: a little bit later in the show. 123 00:06:23,240 --> 00:06:26,680 Speaker 2: But first let's walk through the history of political ads. 124 00:06:26,920 --> 00:06:29,520 Speaker 2: Political ads have always been around, it's just been in 125 00:06:29,560 --> 00:06:32,839 Speaker 2: different forms. So before the invention of the printing press, 126 00:06:33,040 --> 00:06:35,120 Speaker 2: it was all in person, so they would get up 127 00:06:35,120 --> 00:06:37,560 Speaker 2: on stage and say why you should be voting for them. 128 00:06:37,960 --> 00:06:40,000 Speaker 2: Post the printing press, you could put up a flyer 129 00:06:40,000 --> 00:06:41,039 Speaker 2: that says, hey, vote for me. 130 00:06:41,520 --> 00:06:44,480 Speaker 1: And then when radio came along, it changed the game. 131 00:06:44,880 --> 00:06:48,280 Speaker 1: You could get on the radio say hey, I support Canada, X, 132 00:06:48,400 --> 00:06:50,720 Speaker 1: Y and Z, give all the drama, all the emotion, 133 00:06:50,880 --> 00:06:53,520 Speaker 1: and you would just broadcast over the waves. Everyone was 134 00:06:53,560 --> 00:06:54,080 Speaker 1: tuning in. 135 00:06:54,440 --> 00:06:55,400 Speaker 2: Here's doctor Laird. 136 00:06:55,480 --> 00:07:00,599 Speaker 3: So I mean the advent of various technological advancements. So 137 00:07:00,640 --> 00:07:03,320 Speaker 3: as we've moved and progressed on our technology, political advertising 138 00:07:03,360 --> 00:07:06,200 Speaker 3: has been able to shift in a number of ways. 139 00:07:06,279 --> 00:07:09,520 Speaker 1: But this was especially true with the boom of television 140 00:07:09,560 --> 00:07:10,760 Speaker 1: in the nineteen fifties. 141 00:07:10,880 --> 00:07:14,920 Speaker 3: But really, I think the biggest step towards advertising that 142 00:07:14,960 --> 00:07:18,040 Speaker 3: I think we still see today, right is the visual, 143 00:07:18,240 --> 00:07:20,160 Speaker 3: the pairing of the visual and the audio. 144 00:07:20,320 --> 00:07:24,400 Speaker 2: In nineteen fifty two, with television hitting the scene, Dwight D. Eisenhower, 145 00:07:24,440 --> 00:07:27,239 Speaker 2: who wasn't president at the time but would become our president, 146 00:07:27,320 --> 00:07:31,760 Speaker 2: later created a campaign of forty twenty second commercials called 147 00:07:32,200 --> 00:07:36,800 Speaker 2: Eisenhower Answers America, where he answered questions posed by Americans 148 00:07:36,840 --> 00:07:38,680 Speaker 2: about very specific issues. 149 00:07:39,320 --> 00:07:42,840 Speaker 1: Since then, political TV ads have become the dominant form 150 00:07:42,960 --> 00:07:47,440 Speaker 1: of campaign advertising, eclipsing even social media. Here's Jenna. 151 00:07:47,560 --> 00:07:50,160 Speaker 4: If you look at the budgets of political advertising, you 152 00:07:50,240 --> 00:07:52,920 Speaker 4: will still see that the vast majority of budget is 153 00:07:52,960 --> 00:07:56,800 Speaker 4: spent on television ads. So it is still TV that 154 00:07:56,920 --> 00:08:01,840 Speaker 4: is king when it comes to the dollars. TV is 155 00:08:01,920 --> 00:08:04,680 Speaker 4: not measurable the way that digital is measurable. 156 00:08:04,880 --> 00:08:08,720 Speaker 2: That's right. Social media has now opened the floodgates for 157 00:08:08,800 --> 00:08:13,440 Speaker 2: a whole new form of political advertising. Unlike television, social 158 00:08:13,480 --> 00:08:17,720 Speaker 2: media advertising is targetable and measurable. So even if you 159 00:08:17,760 --> 00:08:20,520 Speaker 2: want to reach a very specific group of people, like 160 00:08:20,640 --> 00:08:23,120 Speaker 2: within a zip code or a certain age group or 161 00:08:23,120 --> 00:08:27,080 Speaker 2: a certain racial demographic, you can do that with micro targeting. 162 00:08:27,440 --> 00:08:30,040 Speaker 4: You know, the micro targeting that is available on digital 163 00:08:30,280 --> 00:08:33,440 Speaker 4: is you know, ten times deeper than what you get elsewhere. 164 00:08:33,640 --> 00:08:36,920 Speaker 1: So this means each ad that is seen or an 165 00:08:37,000 --> 00:08:41,360 Speaker 1: ad impression theoretically has more impact because you're reaching the 166 00:08:41,440 --> 00:08:44,760 Speaker 1: exact group of people that you want to Doctor later 167 00:08:44,800 --> 00:08:47,840 Speaker 1: agrees that social media ads are a game changer, and 168 00:08:47,880 --> 00:08:49,319 Speaker 1: for a multitude of reasons. 169 00:08:49,520 --> 00:08:52,000 Speaker 3: Social media is like broken the whole like space on 170 00:08:52,080 --> 00:08:55,400 Speaker 3: this now, right, like with Twitter and Facebook and all 171 00:08:55,400 --> 00:08:58,200 Speaker 3: these different in YouTube and you know, just clicking on 172 00:08:58,240 --> 00:09:00,840 Speaker 3: the websites, I mean, like anything now you are just 173 00:09:01,600 --> 00:09:03,440 Speaker 3: seeing advertising. 174 00:09:02,880 --> 00:09:06,480 Speaker 2: And that repeat exposure, so like across all of those 175 00:09:06,520 --> 00:09:10,920 Speaker 2: platforms is another thing that sets social media advertises apart 176 00:09:10,960 --> 00:09:15,000 Speaker 2: from its predecessors. Every click of the mouse or tap 177 00:09:15,080 --> 00:09:18,160 Speaker 2: on your screen is a new opportunity for a fresh 178 00:09:18,240 --> 00:09:20,360 Speaker 2: ad to be thrown in your face. 179 00:09:20,640 --> 00:09:24,000 Speaker 1: And so from a campaigner's perspective, the more you click, 180 00:09:24,559 --> 00:09:26,840 Speaker 1: the more I understand about you as a user of 181 00:09:26,880 --> 00:09:31,120 Speaker 1: the Internet. This helps the campaign get down to the 182 00:09:31,240 --> 00:09:34,880 Speaker 1: exact target population they want to reach. And sometimes a 183 00:09:34,920 --> 00:09:37,600 Speaker 1: type of ad they send you depends on what stage 184 00:09:37,640 --> 00:09:40,559 Speaker 1: the campaign is in. Here's doctor Laird, So. 185 00:09:40,520 --> 00:09:44,160 Speaker 3: It depends for instance, on the target of the ad, right, 186 00:09:44,160 --> 00:09:45,520 Speaker 3: like what are you trying to do with your ad? 187 00:09:46,400 --> 00:09:50,640 Speaker 3: And so people have hired firms, people hire consultants, people 188 00:09:50,679 --> 00:09:53,160 Speaker 3: get focus groups together. I mean like there's a lot 189 00:09:53,200 --> 00:09:56,480 Speaker 3: of money invested into how do you advertise to people 190 00:09:56,559 --> 00:09:57,480 Speaker 3: and what are you appealing to? 191 00:09:57,600 --> 00:10:00,840 Speaker 1: Jena breaks down the objectives of campaign advertise into four 192 00:10:00,880 --> 00:10:05,479 Speaker 1: different stages, awareness, acquisition, persuasion, and mobilization. 193 00:10:06,040 --> 00:10:08,400 Speaker 4: In a lot of cases, especially if it's a newer 194 00:10:08,440 --> 00:10:10,760 Speaker 4: candidate that people are not familiar with, it starts with 195 00:10:10,800 --> 00:10:13,480 Speaker 4: what we call awareness, and really the goal here is 196 00:10:13,800 --> 00:10:16,720 Speaker 4: let's just get out this name and this information to 197 00:10:16,800 --> 00:10:19,880 Speaker 4: as many people as possible that potentially are within our 198 00:10:20,160 --> 00:10:23,160 Speaker 4: sort of space or geography, so that we get the 199 00:10:23,160 --> 00:10:24,720 Speaker 4: awareness that we need for the candidate. 200 00:10:25,559 --> 00:10:28,080 Speaker 2: Right. So, when you think back to any type of 201 00:10:28,640 --> 00:10:32,240 Speaker 2: primary elections, and it always during the primaries, you see 202 00:10:32,280 --> 00:10:35,480 Speaker 2: a bunch of new names. So when a new candidate 203 00:10:35,520 --> 00:10:37,480 Speaker 2: comes out and it's primary season and not a lot 204 00:10:37,480 --> 00:10:40,840 Speaker 2: of people know that person, the aim of that campaign 205 00:10:41,000 --> 00:10:43,840 Speaker 2: team is to get that person's name out so that 206 00:10:43,920 --> 00:10:46,680 Speaker 2: more folks know who they are and they recognize the 207 00:10:46,760 --> 00:10:47,640 Speaker 2: name when they see it. 208 00:10:47,840 --> 00:10:52,040 Speaker 4: But then the campaign, especially from an advertising standpoint, moves 209 00:10:52,040 --> 00:10:55,360 Speaker 4: to the acquisition stage. And what I mean by acquisition 210 00:10:55,640 --> 00:10:58,720 Speaker 4: is there are really two pieces of data that every 211 00:10:58,760 --> 00:11:03,199 Speaker 4: political campaign wants. One is your email address. Piece two 212 00:11:03,360 --> 00:11:06,120 Speaker 4: in the acquisition stage that they're working really hard at 213 00:11:06,240 --> 00:11:08,480 Speaker 4: is acquiring money, so it's fundraising. 214 00:11:08,640 --> 00:11:11,120 Speaker 1: So boom. If I know you know who my candidate is, 215 00:11:11,640 --> 00:11:14,199 Speaker 1: I want to know who you are. So I want 216 00:11:14,240 --> 00:11:18,120 Speaker 1: to build a huge listser of people who know my candidate, 217 00:11:18,400 --> 00:11:20,880 Speaker 1: like my candidate, and are willing to support my candidate 218 00:11:21,280 --> 00:11:23,000 Speaker 1: with a couple of coins. 219 00:11:23,360 --> 00:11:27,080 Speaker 2: Yeah. So if I see the name Zakiah Wattley and 220 00:11:27,120 --> 00:11:29,920 Speaker 2: I'm like, okay, let me go research her website. So 221 00:11:30,000 --> 00:11:31,719 Speaker 2: I go to her website and I find out more 222 00:11:31,720 --> 00:11:35,480 Speaker 2: about her. I'm like, okay, that's cool. And then they 223 00:11:35,520 --> 00:11:38,640 Speaker 2: say put your email here to sign up for this 224 00:11:38,720 --> 00:11:41,280 Speaker 2: list serve so that or to find out any updates 225 00:11:41,280 --> 00:11:43,200 Speaker 2: on Zakia Wattley. And so I put in my email 226 00:11:43,200 --> 00:11:45,160 Speaker 2: address because I want to know more. Now they have 227 00:11:45,200 --> 00:11:49,040 Speaker 2: a way to target me with more of their ads. 228 00:11:49,120 --> 00:11:51,200 Speaker 1: And that's exactly what I did to become your friend. 229 00:11:54,800 --> 00:11:58,160 Speaker 2: I knew it. I was like, hmm, where have I 230 00:11:58,320 --> 00:11:59,760 Speaker 2: heard this name before. 231 00:12:00,160 --> 00:12:04,439 Speaker 4: Then it moves to persuasion, and persuasion is where you 232 00:12:04,520 --> 00:12:07,560 Speaker 4: really start to see the content change. This is where 233 00:12:07,679 --> 00:12:11,240 Speaker 4: I'm trying to reach people to persuade them to vote 234 00:12:11,240 --> 00:12:15,160 Speaker 4: for my candidate or come to my side. Oftentimes you 235 00:12:15,280 --> 00:12:19,720 Speaker 4: hear in the political ad world people call their target 236 00:12:19,760 --> 00:12:24,320 Speaker 4: as persuadables. So if I'm Joe Biden, what I want 237 00:12:24,360 --> 00:12:26,120 Speaker 4: to do is I want to target the people in 238 00:12:26,160 --> 00:12:29,080 Speaker 4: the middle that aren't sure and they have the ability 239 00:12:29,160 --> 00:12:30,120 Speaker 4: to be persuaded. 240 00:12:30,320 --> 00:12:33,160 Speaker 1: So here, if you're already team Zakiyah, I don't want 241 00:12:33,160 --> 00:12:34,920 Speaker 1: to talk to you anymore. Really, I'm not spending any 242 00:12:34,920 --> 00:12:37,040 Speaker 1: more money on you. I'm looking for the people who 243 00:12:37,040 --> 00:12:39,800 Speaker 1: are like, huh, could be Team Zakiah, could be Team TT. 244 00:12:40,280 --> 00:12:42,199 Speaker 1: I want those people in the middle, and then I'm 245 00:12:42,200 --> 00:12:44,680 Speaker 1: going to try to persuade them like, hey, TT's not 246 00:12:44,720 --> 00:12:49,760 Speaker 1: really that nice, She's just pretending. Wait. So, one of 247 00:12:49,760 --> 00:12:53,520 Speaker 1: the most effective forms of persuasion, doctor Lay says is 248 00:12:53,559 --> 00:12:56,640 Speaker 1: the emotive appeal that's trying to get an emotional response. 249 00:12:56,880 --> 00:12:59,680 Speaker 2: One of the most common emotions that ads will try 250 00:12:59,720 --> 00:13:03,040 Speaker 2: and in sight is fear, and one of the most 251 00:13:03,040 --> 00:13:06,400 Speaker 2: notable political ads that use fear as its tactic was 252 00:13:06,400 --> 00:13:09,880 Speaker 2: from nineteen sixty four, when Lyndon B. Johnson was running 253 00:13:09,880 --> 00:13:11,079 Speaker 2: against Barry Goldwater. 254 00:13:11,480 --> 00:13:14,400 Speaker 3: The Daisy ad from LBJ where you have the little 255 00:13:14,440 --> 00:13:17,000 Speaker 3: girl playing with the flower and then you see the 256 00:13:17,120 --> 00:13:21,040 Speaker 3: large like atomic explosion go on. And this fear that's 257 00:13:21,040 --> 00:13:23,560 Speaker 3: supposed to be garnered from that ad, right, like the 258 00:13:23,640 --> 00:13:26,360 Speaker 3: innocence of this young woman is at stake because we 259 00:13:26,400 --> 00:13:29,480 Speaker 3: are in the midst of this fear of potentially being 260 00:13:29,480 --> 00:13:32,360 Speaker 3: annihilated by these weapons of mass destruction. 261 00:13:32,840 --> 00:13:35,400 Speaker 2: That is traumatizing. I can't even believe they were showing 262 00:13:35,440 --> 00:13:36,360 Speaker 2: that on television. 263 00:13:36,760 --> 00:13:39,199 Speaker 1: This was also the case during the nineteen eighty eight 264 00:13:39,200 --> 00:13:43,640 Speaker 1: election between Michael Ducaccus and George Bush Senior. Here there 265 00:13:43,679 --> 00:13:47,120 Speaker 1: was an ad that incided fear and was also pretty 266 00:13:47,120 --> 00:13:48,360 Speaker 1: problematic and harmful. 267 00:13:48,760 --> 00:13:51,520 Speaker 2: And when we say problematic, what we mean is racist. 268 00:13:51,679 --> 00:13:55,080 Speaker 3: The one where they talk about Ducacus on crime and 269 00:13:55,120 --> 00:13:57,560 Speaker 3: they show the image of Willy Horton, right, and that 270 00:13:57,640 --> 00:14:00,600 Speaker 3: the furlough that was granted to Willy Horton allowed him 271 00:14:00,640 --> 00:14:04,600 Speaker 3: to basically go and commit another felony against a couple, right, 272 00:14:04,679 --> 00:14:07,560 Speaker 3: And that that was something showing that the Caucus is 273 00:14:07,600 --> 00:14:11,120 Speaker 3: soft on crime and that Bush would be a better 274 00:14:11,200 --> 00:14:13,920 Speaker 3: person to put into office. But with doing that, they're 275 00:14:13,960 --> 00:14:18,640 Speaker 3: also triggering onto these implicit racial appeals. Right, So they 276 00:14:18,640 --> 00:14:21,960 Speaker 3: are trying to invoke for a white audience, in particular, 277 00:14:22,400 --> 00:14:24,080 Speaker 3: this fear of the black criminal. 278 00:14:24,240 --> 00:14:27,240 Speaker 2: So that's a problem, right, because it's bigger than I 279 00:14:27,280 --> 00:14:30,480 Speaker 2: want to win this presidential election. This is influencing people's 280 00:14:30,880 --> 00:14:36,520 Speaker 2: feelings about black people. And I feel like it's negligent 281 00:14:36,560 --> 00:14:38,680 Speaker 2: to put out stuff like that. You need to focus 282 00:14:38,920 --> 00:14:41,760 Speaker 2: talk about the issue. You don't need to have like 283 00:14:42,160 --> 00:14:44,800 Speaker 2: someone as the poster child, because then you run into 284 00:14:44,840 --> 00:14:48,600 Speaker 2: issues where people will start to discriminate against certain people 285 00:14:48,680 --> 00:14:51,320 Speaker 2: that look a certain way or sound a certain way, 286 00:14:51,360 --> 00:14:53,880 Speaker 2: that fit the profile of the person that you're putting 287 00:14:53,880 --> 00:14:54,840 Speaker 2: in this political ad. 288 00:14:55,280 --> 00:14:58,280 Speaker 1: And I think we still see traces of that to 289 00:14:58,480 --> 00:14:59,040 Speaker 1: this day. 290 00:14:59,600 --> 00:15:00,520 Speaker 2: Oh my, oh gosh. 291 00:15:00,600 --> 00:15:00,840 Speaker 3: Yeah. 292 00:15:00,840 --> 00:15:03,280 Speaker 1: So beyond fear, there are some other well known methods 293 00:15:03,280 --> 00:15:07,400 Speaker 1: of persuasion as well, like negative advertising or focusing on 294 00:15:07,440 --> 00:15:10,840 Speaker 1: a single issue that voters care about, whether it's war, economy, 295 00:15:10,960 --> 00:15:11,960 Speaker 1: or global pandemic. 296 00:15:12,640 --> 00:15:17,480 Speaker 2: We are seeing so many ads during this election cycle 297 00:15:17,640 --> 00:15:20,400 Speaker 2: that touch on the pandemic. There's a lot. I mean, 298 00:15:20,800 --> 00:15:23,400 Speaker 2: we've been trying to stay away from talking about the 299 00:15:23,440 --> 00:15:25,920 Speaker 2: pandemic and the coronavirus, but it's so hard because it's 300 00:15:25,960 --> 00:15:29,080 Speaker 2: a part of really everything that we're doing these days, 301 00:15:29,680 --> 00:15:33,720 Speaker 2: and so putting it into political ads, it definitely taps 302 00:15:33,720 --> 00:15:36,480 Speaker 2: into a lot of emotions that people are having. 303 00:15:36,320 --> 00:15:39,480 Speaker 1: Taking that persuasion right through the roof. So just a recap, 304 00:15:39,520 --> 00:15:44,520 Speaker 1: we've gone through the first three stages of campaign advertising, awareness, acquisition, 305 00:15:44,680 --> 00:15:46,040 Speaker 1: and persuasion. 306 00:15:45,840 --> 00:15:50,240 Speaker 4: And then lastly we have what we call mobilization or GOOTV, 307 00:15:50,760 --> 00:15:53,880 Speaker 4: and GOOTV stands for get off the vote. So there's 308 00:15:53,920 --> 00:15:56,440 Speaker 4: a big gap between people who say that they're going 309 00:15:56,480 --> 00:15:59,320 Speaker 4: to vote and people who actually vote, and so the 310 00:15:59,400 --> 00:16:03,240 Speaker 4: messaging happens in those last stages mobilization and get off 311 00:16:03,240 --> 00:16:06,120 Speaker 4: the vote. A lot of it is here's a reminder 312 00:16:06,160 --> 00:16:08,800 Speaker 4: of where your polling place is. Here's what time the 313 00:16:08,840 --> 00:16:12,440 Speaker 4: polling place opens. Make sure that you're there early. Don't 314 00:16:12,440 --> 00:16:14,760 Speaker 4: forget that your apps and tee ballad is coming. This 315 00:16:14,800 --> 00:16:16,360 Speaker 4: is how you mail it in. This is how you 316 00:16:16,400 --> 00:16:17,920 Speaker 4: make sure it gets there on time. 317 00:16:18,280 --> 00:16:21,400 Speaker 2: With those objectives in minds, campaigns reach out to potential 318 00:16:21,440 --> 00:16:26,160 Speaker 2: voters using mailers, emails, TV ads, social media ads, phone calls, 319 00:16:26,560 --> 00:16:28,360 Speaker 2: and a whole bunch of other methods. 320 00:16:28,400 --> 00:16:30,560 Speaker 1: You know, it's really one thing to say, I like 321 00:16:30,640 --> 00:16:34,040 Speaker 1: this ad, I understand more about this candidate. I'm willing 322 00:16:34,080 --> 00:16:37,320 Speaker 1: to share my email or donate, But I think it's 323 00:16:37,400 --> 00:16:40,520 Speaker 1: very different when it comes to actual mobilization. I think 324 00:16:40,560 --> 00:16:43,200 Speaker 1: sometimes it takes different motives to get you out of 325 00:16:43,200 --> 00:16:45,360 Speaker 1: the door, to vote, out of the door, to attend 326 00:16:45,400 --> 00:16:46,360 Speaker 1: a political rally. 327 00:16:46,560 --> 00:16:50,120 Speaker 2: Yeah, the activation energy is different for different people. So 328 00:16:50,320 --> 00:16:52,600 Speaker 2: it's not just like, oh, we all are going to 329 00:16:52,680 --> 00:16:54,520 Speaker 2: register and we're all going to get out to vote, 330 00:16:54,760 --> 00:16:57,280 Speaker 2: like some of the things that folks need to do 331 00:16:57,600 --> 00:17:00,600 Speaker 2: to be able to feel empowered to do those those things, 332 00:17:00,920 --> 00:17:02,560 Speaker 2: it's a lot harder for them. 333 00:17:02,920 --> 00:17:06,320 Speaker 1: Yeah, ideally everyone would be able to just drop that 334 00:17:06,520 --> 00:17:10,280 Speaker 1: ballot in the mail, done right, right. But I am ready. 335 00:17:10,359 --> 00:17:13,000 Speaker 1: While I might be burned out on the ads, when 336 00:17:13,040 --> 00:17:15,159 Speaker 1: it's time to vote, I am ready. Me and my 337 00:17:15,200 --> 00:17:18,199 Speaker 1: little Instagram stories. How will be there to cheer you on, 338 00:17:18,680 --> 00:17:20,800 Speaker 1: to say, hey, did you vote yet? Hey, this is 339 00:17:20,840 --> 00:17:22,560 Speaker 1: what you can do in your state. I want to 340 00:17:22,640 --> 00:17:24,520 Speaker 1: use my voice to kind of help somebody over the 341 00:17:24,560 --> 00:17:27,679 Speaker 1: hurdle if it will even help them. I'm there to 342 00:17:27,680 --> 00:17:28,080 Speaker 1: do it. 343 00:17:28,200 --> 00:17:30,040 Speaker 2: Right, and I think we should all be doing that. Like, 344 00:17:30,160 --> 00:17:32,159 Speaker 2: if you know where your polling place is, put up 345 00:17:32,200 --> 00:17:34,359 Speaker 2: the link for how you figured that out, show a 346 00:17:34,400 --> 00:17:36,679 Speaker 2: step by step, do a screen recording, and post it. 347 00:17:36,920 --> 00:17:39,199 Speaker 2: I actually have a friend that did that. She showed 348 00:17:39,240 --> 00:17:40,960 Speaker 2: how she figured out where her polling place was and 349 00:17:41,000 --> 00:17:43,040 Speaker 2: I was like, this is amazing. It makes it seem 350 00:17:43,320 --> 00:17:46,320 Speaker 2: so easy, you know what I'm saying, And it should 351 00:17:46,320 --> 00:17:48,720 Speaker 2: be easy because it's the American way. Voting is a 352 00:17:48,760 --> 00:17:51,720 Speaker 2: part of our democratic system and we should all be 353 00:17:51,760 --> 00:17:54,919 Speaker 2: doing it. I'm excited to vote. I'm very excited to vote, 354 00:17:55,119 --> 00:17:57,679 Speaker 2: and I'm excited to get y'all energized about voting. 355 00:17:58,119 --> 00:18:02,680 Speaker 1: If you're not already, and look out for our Instagram, Twitter, 356 00:18:02,720 --> 00:18:04,880 Speaker 1: it's gonna be on our website at Dope Labs podcast 357 00:18:04,960 --> 00:18:06,960 Speaker 1: dot com. We're gonna tell you everything you need to 358 00:18:06,960 --> 00:18:09,040 Speaker 1: know about registering to vote, and then when it's time 359 00:18:09,080 --> 00:18:11,120 Speaker 1: to vote, what you should do then too. 360 00:18:11,160 --> 00:18:13,360 Speaker 2: We're gonna take a quick break, and when we get back, 361 00:18:13,400 --> 00:18:16,879 Speaker 2: we're gonna talk more about social media, the political ad space, 362 00:18:16,920 --> 00:18:33,040 Speaker 2: and how your Internet activity determines what you see. 363 00:18:36,160 --> 00:18:39,480 Speaker 1: And we're back. We're talking to two guest experts, doctor 364 00:18:39,560 --> 00:18:42,800 Speaker 1: Cheryl Laird and Jenna Golden about the history, objectives, and 365 00:18:42,880 --> 00:18:44,280 Speaker 1: effects of political ads. 366 00:18:44,720 --> 00:18:47,159 Speaker 2: Like we said earlier, the Internet has really changed the 367 00:18:47,200 --> 00:18:50,359 Speaker 2: game within the political atmosphere with the rise of social 368 00:18:50,400 --> 00:18:54,919 Speaker 2: media advertising campaigns, and even those people not directly affiliated 369 00:18:54,960 --> 00:18:59,119 Speaker 2: with campaigns are able to specifically target certain voters and 370 00:18:59,160 --> 00:19:01,919 Speaker 2: then give them exposure to certain ads. 371 00:19:02,119 --> 00:19:05,719 Speaker 1: So how do social media ads target people? What criteria 372 00:19:05,800 --> 00:19:07,520 Speaker 1: do they use? Jenna breaks it down. 373 00:19:07,960 --> 00:19:10,159 Speaker 4: So there's sort of these two camps, and one is 374 00:19:10,400 --> 00:19:14,600 Speaker 4: information that you choose to actively share, and the second 375 00:19:14,800 --> 00:19:19,639 Speaker 4: is sort of informed information based on the actions and 376 00:19:19,800 --> 00:19:23,240 Speaker 4: steps that you take. So you'll see both are ways 377 00:19:23,359 --> 00:19:26,439 Speaker 4: that brands and organizations can ultimately target you. 378 00:19:26,720 --> 00:19:29,520 Speaker 2: I went to Zakia's website because I'm interested in possibly 379 00:19:29,600 --> 00:19:31,920 Speaker 2: voting for her, and when I get there, I put 380 00:19:31,920 --> 00:19:34,760 Speaker 2: in my email address, I put in my age, I 381 00:19:34,800 --> 00:19:40,160 Speaker 2: put in my zip code maybe, so from there they 382 00:19:40,160 --> 00:19:43,360 Speaker 2: have a lot of information about me, where I live, 383 00:19:43,520 --> 00:19:46,440 Speaker 2: how old I am, so a lot about my demographic 384 00:19:46,960 --> 00:19:49,040 Speaker 2: and that is me actively sharing. 385 00:19:49,240 --> 00:19:54,840 Speaker 1: But because tt has selected many Instagram ads, purchased many 386 00:19:54,840 --> 00:19:58,600 Speaker 1: embroidered sweatshirts across the web, I know a little bit 387 00:19:58,680 --> 00:20:03,520 Speaker 1: more about her, and so those are things that she's 388 00:20:03,600 --> 00:20:06,160 Speaker 1: not actively sharing, but those are things that I'm collecting 389 00:20:06,400 --> 00:20:09,560 Speaker 1: through her cookies on her website. That are describing the 390 00:20:09,640 --> 00:20:11,639 Speaker 1: type of person she is on the web. 391 00:20:11,960 --> 00:20:14,919 Speaker 2: Cookies is like leaving breadcrumbs wherever you go these website 392 00:20:14,960 --> 00:20:16,639 Speaker 2: you go to, you drop a few bread crumbs so 393 00:20:16,680 --> 00:20:19,040 Speaker 2: they know you were there. Because I mean, your cookies 394 00:20:19,080 --> 00:20:19,400 Speaker 2: are there. 395 00:20:19,440 --> 00:20:21,640 Speaker 3: There's a whole bunch of data that's being collected there 396 00:20:21,680 --> 00:20:26,600 Speaker 3: your cookies, and in that data is information about your preferences, 397 00:20:27,119 --> 00:20:31,400 Speaker 3: information about your gender, information about your social identities, information 398 00:20:31,440 --> 00:20:35,080 Speaker 3: about your background, and now the types of ads that 399 00:20:35,160 --> 00:20:38,399 Speaker 3: you can get towards you will be specific in what 400 00:20:38,440 --> 00:20:42,399 Speaker 3: people think may be appealing to you, and that's like 401 00:20:43,000 --> 00:20:44,000 Speaker 3: a whole new frontier. 402 00:20:44,119 --> 00:20:47,400 Speaker 1: Jenna says that it's not just your demographics and online behavior, 403 00:20:47,960 --> 00:20:50,600 Speaker 1: that zip code tt is just as important. 404 00:20:51,000 --> 00:20:55,120 Speaker 4: So there's a lot of recognition of individuals and targeting individuals, 405 00:20:55,119 --> 00:20:57,800 Speaker 4: but there's also a lot of care that goes towards 406 00:20:57,800 --> 00:21:01,679 Speaker 4: thinking about the geographies in which those individuals are located. 407 00:21:02,119 --> 00:21:04,920 Speaker 4: Because at the end of the day, you might be persuadable, 408 00:21:05,359 --> 00:21:09,080 Speaker 4: but if you are a leaning Republican and you live 409 00:21:09,280 --> 00:21:12,280 Speaker 4: in one of the most democratic states, it may not 410 00:21:12,440 --> 00:21:16,040 Speaker 4: be worth the budget to focus there. Whereas I want 411 00:21:16,080 --> 00:21:19,040 Speaker 4: to focus on what are these key swing states where 412 00:21:19,040 --> 00:21:22,000 Speaker 4: I can really get the most bang for our bum. 413 00:21:21,960 --> 00:21:23,640 Speaker 1: They might spend a little money on you, but they'll 414 00:21:23,680 --> 00:21:26,480 Speaker 1: spend more in places that are battlegrounds. And when we 415 00:21:26,520 --> 00:21:29,560 Speaker 1: say more, we don't mean a couple hundred thousand dollars. 416 00:21:30,680 --> 00:21:34,280 Speaker 1: It's estimated that seven billion dollars will be spent on 417 00:21:34,359 --> 00:21:36,639 Speaker 1: advertising during this general election. 418 00:21:36,920 --> 00:21:39,919 Speaker 2: Did y'all hear that? That's billion with a beat? 419 00:21:40,080 --> 00:21:42,320 Speaker 1: And the bulk of that, like sixty to seventy percent 420 00:21:42,359 --> 00:21:44,359 Speaker 1: of it will be spent in the last ten weeks 421 00:21:44,440 --> 00:21:47,440 Speaker 1: leading up to the election. And that's just hard money 422 00:21:47,440 --> 00:21:50,879 Speaker 1: from campaigns. There's also soft money from other groups and 423 00:21:51,000 --> 00:21:54,520 Speaker 1: organizations that are campaign adjacent or want to see a 424 00:21:54,520 --> 00:21:58,439 Speaker 1: certain candidate win. They're spending money too. That's so much money, 425 00:21:58,520 --> 00:22:01,240 Speaker 1: But money isn't the only thing that's getting out of control. 426 00:22:01,600 --> 00:22:04,600 Speaker 1: The other thing that's out of control is political misinformation. 427 00:22:05,160 --> 00:22:08,360 Speaker 2: All of the elements that we've talked about, the unlimited funding, 428 00:22:08,440 --> 00:22:13,399 Speaker 2: the increased targeting technology, it all helps breed this landscape 429 00:22:13,400 --> 00:22:17,280 Speaker 2: where it becomes impossible to know what's fact and what's 430 00:22:17,359 --> 00:22:21,880 Speaker 2: not and what Doctor Laird says, one misinformed match can 431 00:22:21,920 --> 00:22:23,399 Speaker 2: create a huge fire. 432 00:22:23,640 --> 00:22:25,160 Speaker 3: So I think that That's the thing to think about 433 00:22:25,160 --> 00:22:29,360 Speaker 3: with misinformation as well, is that it's dangerous because it's collective, right, 434 00:22:29,480 --> 00:22:32,520 Speaker 3: Like it is not just one individual, but it is 435 00:22:33,600 --> 00:22:36,080 Speaker 3: you know, a bunch of people all kind of starting 436 00:22:36,119 --> 00:22:38,680 Speaker 3: to agree and it doesn't take much to convince either. 437 00:22:38,720 --> 00:22:41,919 Speaker 1: And where that misinformation is coming from might surprise you. 438 00:22:42,400 --> 00:22:46,040 Speaker 1: Jenna says that the misinformation is primarily coming from organic content, 439 00:22:46,480 --> 00:22:50,439 Speaker 1: not paid advertising content. That means it's your own people, 440 00:22:50,960 --> 00:22:55,000 Speaker 1: real people, creating posts that are inaccurate, sharing them, and 441 00:22:55,040 --> 00:22:57,200 Speaker 1: they're spreading all around in your social network. 442 00:22:57,480 --> 00:23:00,800 Speaker 2: This reminds me of our episode protect to how we 443 00:23:00,840 --> 00:23:04,679 Speaker 2: talked about how virus spreads, like how it can just 444 00:23:05,000 --> 00:23:08,640 Speaker 2: hijack everything as soon as it's introduced to a new hostel. 445 00:23:08,920 --> 00:23:10,960 Speaker 2: And that's exactly how the misinformation is spreading. 446 00:23:11,040 --> 00:23:12,840 Speaker 1: And when you take that information and put it in 447 00:23:12,880 --> 00:23:17,199 Speaker 1: the context of these conversations about regulation of information on 448 00:23:17,240 --> 00:23:21,200 Speaker 1: social media platforms. We've all seen Mark Zuckerberg on CSPAN 449 00:23:21,840 --> 00:23:26,560 Speaker 1: or if you think about Jack Dorsey, the CEO of Twitter, 450 00:23:27,040 --> 00:23:29,800 Speaker 1: they're all trying to do something different. You can pull 451 00:23:29,840 --> 00:23:31,880 Speaker 1: down the ads, but that doesn't change the problem. 452 00:23:32,480 --> 00:23:36,320 Speaker 2: So how are social media companies stepping up what are 453 00:23:36,359 --> 00:23:39,880 Speaker 2: they doing to combat the spread of misinformation? 454 00:23:40,560 --> 00:23:43,160 Speaker 4: So now what Twitter has done over the last few 455 00:23:43,200 --> 00:23:48,479 Speaker 4: months has started to essentially place labels on pieces of 456 00:23:48,560 --> 00:23:52,639 Speaker 4: content that are tweeted out that could be misinformation. And 457 00:23:52,680 --> 00:23:55,280 Speaker 4: why it's so notable is because we all know that 458 00:23:55,320 --> 00:23:58,760 Speaker 4: while Twitter is the smallest, it has the largest megaphone, 459 00:23:58,800 --> 00:24:01,600 Speaker 4: and it also has quite a power user, which is 460 00:24:01,720 --> 00:24:03,920 Speaker 4: Donald trumb who is the President of the United States. 461 00:24:04,000 --> 00:24:06,879 Speaker 1: Twitter also made the decision to ban political ads all 462 00:24:07,000 --> 00:24:08,680 Speaker 1: together last November. 463 00:24:09,240 --> 00:24:12,440 Speaker 2: Other social media companies like pinterest in next Door didn't 464 00:24:12,440 --> 00:24:16,280 Speaker 2: allow political ads from the get go. They wanted nothing 465 00:24:16,280 --> 00:24:18,520 Speaker 2: to do with it, Like they said, no political ads 466 00:24:18,560 --> 00:24:24,240 Speaker 2: on this app. But for the ones that did, like Twitter, Facebook, Google, YouTube, 467 00:24:24,359 --> 00:24:28,600 Speaker 2: all those they're trying to put the toothpaste back into 468 00:24:28,640 --> 00:24:28,960 Speaker 2: the two. 469 00:24:29,119 --> 00:24:31,280 Speaker 4: When you think about the amount of content that is 470 00:24:31,320 --> 00:24:34,680 Speaker 4: pumping through those platforms on a daily basis, there is 471 00:24:34,720 --> 00:24:39,560 Speaker 4: not a way to possibly monitor all of that content, 472 00:24:39,960 --> 00:24:43,119 Speaker 4: definitely not manually, and as we've seen as a lot 473 00:24:43,160 --> 00:24:45,359 Speaker 4: of these companies have tried to monitor some of that 474 00:24:45,760 --> 00:24:49,160 Speaker 4: content from an AI standpoint or a machine learning standpoint 475 00:24:49,560 --> 00:24:51,000 Speaker 4: that often misses contacts. 476 00:24:51,000 --> 00:24:53,280 Speaker 1: Facebook has started to put some labels on things too. 477 00:24:53,760 --> 00:24:56,320 Speaker 1: But do you know what I saw in response or 478 00:24:56,520 --> 00:24:59,920 Speaker 1: a screenshot from a group message where people were saying, 479 00:25:00,280 --> 00:25:03,280 Speaker 1: this is how you remove fact checkers from your posts, 480 00:25:03,840 --> 00:25:05,399 Speaker 1: And I was like, you don't want your post to 481 00:25:05,400 --> 00:25:07,800 Speaker 1: be checked for facts, y'all just want to be wrong. 482 00:25:08,359 --> 00:25:09,480 Speaker 1: That made me really sad. 483 00:25:10,200 --> 00:25:13,080 Speaker 2: Yeah, people don't want the facts. They don't want them 484 00:25:13,280 --> 00:25:16,199 Speaker 2: because to them, it doesn't matter what the facts are 485 00:25:16,240 --> 00:25:18,040 Speaker 2: because it's not what they believe. It's not what they 486 00:25:18,080 --> 00:25:21,000 Speaker 2: feel exactly. If they don't believe it, it is not 487 00:25:21,000 --> 00:25:21,360 Speaker 2: a fact. 488 00:25:21,400 --> 00:25:23,560 Speaker 1: And I think that's the other part. Not only do 489 00:25:23,600 --> 00:25:25,159 Speaker 1: they not want to hear the truth, I think some 490 00:25:25,200 --> 00:25:31,160 Speaker 1: people are not really grasping the full magnitude of what 491 00:25:31,320 --> 00:25:35,399 Speaker 1: happens when you post something that's not true. Doctor Larrt 492 00:25:35,400 --> 00:25:36,000 Speaker 1: touched on this. 493 00:25:37,200 --> 00:25:39,400 Speaker 3: That is one of the things that is really troubling 494 00:25:39,440 --> 00:25:42,159 Speaker 3: about the digital social media space is that most of 495 00:25:42,200 --> 00:25:43,680 Speaker 3: these companies and people. 496 00:25:43,480 --> 00:25:46,560 Speaker 2: Have created it. I don't think have totally. 497 00:25:46,240 --> 00:25:49,960 Speaker 3: Processed that it can happen like that, like it can 498 00:25:50,000 --> 00:25:53,960 Speaker 3: happen in the snap of a finger. You'd be stunned 499 00:25:54,400 --> 00:25:59,960 Speaker 3: by what people are willing to do or are influenced by, 500 00:26:00,119 --> 00:26:01,120 Speaker 3: right do. 501 00:26:01,119 --> 00:26:02,320 Speaker 1: You remember pizzagate TT. 502 00:26:02,640 --> 00:26:06,440 Speaker 2: Yes, that was in twenty sixteen during the election, and 503 00:26:06,880 --> 00:26:10,520 Speaker 2: there was this conspiracy theory that said that this pizza 504 00:26:10,560 --> 00:26:16,920 Speaker 2: place in DCO had a child trafficking ring running through 505 00:26:16,920 --> 00:26:20,080 Speaker 2: it and that one of the candidates had something to 506 00:26:20,080 --> 00:26:22,680 Speaker 2: do with it. Yes, folks that are showing up to 507 00:26:22,680 --> 00:26:25,760 Speaker 2: the pizza place, like where are the kids? And they 508 00:26:25,800 --> 00:26:28,040 Speaker 2: got threats in everything. 509 00:26:28,200 --> 00:26:32,119 Speaker 1: Yes, this one man drove from North Carolina to DC 510 00:26:32,440 --> 00:26:33,400 Speaker 1: to that pizza shop. 511 00:26:33,640 --> 00:26:36,240 Speaker 2: That's four hours. That's four hours with a gun. 512 00:26:36,800 --> 00:26:39,679 Speaker 1: He was wrong, and once he realized that it was 513 00:26:39,720 --> 00:26:43,080 Speaker 1: all made up, just misinformation on the web, he turned 514 00:26:43,119 --> 00:26:45,359 Speaker 1: himself in. That's a wild ride. 515 00:26:45,400 --> 00:26:47,200 Speaker 2: Are there still people who believe in Pizzagate? 516 00:26:47,320 --> 00:26:49,760 Speaker 1: Well, Li's coming back in twenty twenty. Have you heard. No, 517 00:26:50,240 --> 00:26:52,840 Speaker 1: it has a new younger audience on TikTok. 518 00:26:52,520 --> 00:26:56,440 Speaker 2: Oh No, okay, Well that's that's all you need to say, period. TikTok. 519 00:26:57,920 --> 00:27:00,000 Speaker 2: Y'all got to do more research, y' y'all are not 520 00:27:00,080 --> 00:27:03,640 Speaker 2: even doing the bare minimum research, y'all just sharing tiktoks. 521 00:27:03,920 --> 00:27:05,959 Speaker 1: Social media is such a big part of this. And 522 00:27:06,240 --> 00:27:08,119 Speaker 1: if there's anything we want you to walk away with, 523 00:27:08,200 --> 00:27:10,640 Speaker 1: we want you to know when you're being targeted. Yes, 524 00:27:10,880 --> 00:27:13,760 Speaker 1: what is an ad what is just conversation? So when 525 00:27:13,760 --> 00:27:15,720 Speaker 1: you're sharing things, know that you got to do your 526 00:27:15,800 --> 00:27:19,840 Speaker 1: due diligence. They're looking for people just like you. They're saying, hey, 527 00:27:20,280 --> 00:27:24,560 Speaker 1: do you like puppies and do you care about puppy meals? 528 00:27:24,600 --> 00:27:28,040 Speaker 1: And then they're going to say this candidate has twenty 529 00:27:28,040 --> 00:27:31,080 Speaker 1: five puppy meals. You know, it's just whatever is out here, 530 00:27:31,119 --> 00:27:32,280 Speaker 1: And so I just want us to be a little 531 00:27:32,320 --> 00:27:32,880 Speaker 1: more diligent. 532 00:27:33,400 --> 00:27:35,920 Speaker 2: Don't fall for the okie dope. 533 00:27:36,040 --> 00:27:40,080 Speaker 3: The time lapse of how much you're engaging that, I mean, 534 00:27:40,240 --> 00:27:47,000 Speaker 3: it is mentally taxing, right, and cognitively taxing, and could 535 00:27:47,040 --> 00:27:50,160 Speaker 3: be leading to other kinds of outcomes that we haven't 536 00:27:50,200 --> 00:27:55,040 Speaker 3: truly surmised from all of it because it is so overwhelming. 537 00:27:55,520 --> 00:27:56,560 Speaker 3: How much is happening. 538 00:27:56,640 --> 00:27:58,920 Speaker 1: My model used to be zero fatigue, but now it's 539 00:27:59,000 --> 00:28:03,760 Speaker 1: all the fatigue. Okay, all the fatigue, election fatigue, general fatigue, 540 00:28:03,800 --> 00:28:09,119 Speaker 1: people fatigue, just all of it. We are fatigued, and 541 00:28:09,160 --> 00:28:12,720 Speaker 1: I think we're basically headed to the land of burnout. 542 00:28:12,840 --> 00:28:16,359 Speaker 2: Honestly, and with that in mind, our next episode is 543 00:28:16,400 --> 00:28:20,200 Speaker 2: actually going to be all about burnout. How to recognize 544 00:28:20,240 --> 00:28:22,320 Speaker 2: it and how to handle it. And we are so 545 00:28:22,359 --> 00:28:25,120 Speaker 2: excited to talk about it because I mean, being bombarded 546 00:28:25,160 --> 00:28:28,720 Speaker 2: with all these political ads and then the pandemic and 547 00:28:29,200 --> 00:28:31,159 Speaker 2: all these different things that are going on in the world. 548 00:28:31,480 --> 00:28:35,120 Speaker 2: RP to Chadwick Boseman, and we're all just tired. Twenty 549 00:28:35,160 --> 00:28:39,360 Speaker 2: twenty has sucked. And so this next episode on Burnout 550 00:28:39,600 --> 00:28:42,240 Speaker 2: is for the people, and we're going to get through this. 551 00:28:42,120 --> 00:28:42,640 Speaker 1: A lot of people. 552 00:28:42,720 --> 00:28:46,320 Speaker 2: I mean me, it's is I I am people. 553 00:28:47,760 --> 00:28:50,440 Speaker 1: After this episode airs, I'm going to announce your run 554 00:28:50,480 --> 00:28:51,520 Speaker 1: for president. 555 00:28:52,080 --> 00:28:55,360 Speaker 2: My run. I don't want to be president. I think 556 00:28:55,400 --> 00:28:57,960 Speaker 2: i'd be the worst president. I'd be like everybody, just chill. 557 00:28:58,440 --> 00:29:01,160 Speaker 1: I'll go to bed. So earlier t TV comes for president. 558 00:29:01,280 --> 00:29:03,440 Speaker 2: I think for your political ad, if I am on 559 00:29:03,760 --> 00:29:07,440 Speaker 2: your campaign strategy team, I'm gonna be like, Okay, I've 560 00:29:07,440 --> 00:29:10,160 Speaker 2: got a lot of pictures of food that Zakia has 561 00:29:10,240 --> 00:29:14,960 Speaker 2: made everybody likes to eat. I think that's something we 562 00:29:15,000 --> 00:29:17,800 Speaker 2: can all bond over. And so then I'm just putting 563 00:29:17,840 --> 00:29:24,480 Speaker 2: out pictures of plates that I have had a Zekias 564 00:29:24,520 --> 00:29:27,000 Speaker 2: asks meing like with Zekiah. 565 00:29:26,880 --> 00:29:32,040 Speaker 1: We all eat, we all eat good. Mic drop no 566 00:29:32,120 --> 00:29:33,560 Speaker 1: more hashtag struggle plate. 567 00:29:47,240 --> 00:29:49,360 Speaker 2: That's it for Lab thirty one, but we have so 568 00:29:49,520 --> 00:29:51,760 Speaker 2: much more for you to dig into on our website, 569 00:29:51,800 --> 00:29:55,200 Speaker 2: so head on over there, Dope Labs podcast dot com. 570 00:29:55,200 --> 00:29:57,120 Speaker 1: On our website you can find a cheat sheet for 571 00:29:57,160 --> 00:29:59,200 Speaker 1: today's lab, along with a ton of other links and 572 00:29:59,240 --> 00:30:00,640 Speaker 1: resources in the show notes. 573 00:30:01,520 --> 00:30:03,000 Speaker 2: And if you want to stay in the know with 574 00:30:03,120 --> 00:30:05,680 Speaker 2: Dope Labs, don't forget to sign up for our newsletter 575 00:30:05,720 --> 00:30:06,720 Speaker 2: on our site too. 576 00:30:06,880 --> 00:30:08,959 Speaker 1: We won't sell your email address, but we might use 577 00:30:09,000 --> 00:30:10,120 Speaker 1: it for TT's campaign. 578 00:30:13,680 --> 00:30:15,200 Speaker 2: Just delete all your cookies. 579 00:30:15,560 --> 00:30:18,720 Speaker 1: Right special thanks to both our guest experts, doctor Cheryl 580 00:30:18,800 --> 00:30:20,000 Speaker 1: Laird and Jenna Golden. 581 00:30:20,360 --> 00:30:24,120 Speaker 2: You can follow Jenna Golden on Twitter at ji Golden. 582 00:30:23,840 --> 00:30:26,480 Speaker 1: And you can visit doctor Cheryl Laired's website at Cheryl 583 00:30:26,520 --> 00:30:30,280 Speaker 1: Lair dot com. That's c h R Y L l 584 00:30:30,320 --> 00:30:33,200 Speaker 1: a I R D dot com. You can also follow 585 00:30:33,200 --> 00:30:35,920 Speaker 1: her on Twitter at Cheryl Laird. You can find even 586 00:30:35,960 --> 00:30:37,760 Speaker 1: more links to their work in our show notes. 587 00:30:38,480 --> 00:30:40,760 Speaker 2: You can also find us on Twitter and Instagram at 588 00:30:40,800 --> 00:30:41,960 Speaker 2: Dope Labs Podcast. 589 00:30:42,160 --> 00:30:45,840 Speaker 1: TT is on Twitter at d R Underscore t s h. 590 00:30:45,800 --> 00:30:49,120 Speaker 2: O, and you can find Zakiya at z said. So 591 00:30:49,440 --> 00:30:52,400 Speaker 2: are y'all registered to vote yet get started at headcount 592 00:30:52,400 --> 00:30:55,880 Speaker 2: dot org slash play your part. It's quick and easy, 593 00:30:56,000 --> 00:30:57,000 Speaker 2: I promise yes. 594 00:30:57,560 --> 00:31:00,280 Speaker 1: Also, we love hearing from you. What is your think 595 00:31:00,280 --> 00:31:03,160 Speaker 1: about today's lab? Do you have ideas for future labs? 596 00:31:03,720 --> 00:31:06,800 Speaker 1: Call us at two zero two five six seven seven 597 00:31:06,920 --> 00:31:08,440 Speaker 1: zero two eight and let us know. 598 00:31:09,240 --> 00:31:12,080 Speaker 2: You can find us on Twitter and Instagram at Dope Labs. 599 00:31:12,080 --> 00:31:15,440 Speaker 2: Podcast TT is on Twitter at d R Underscore t 600 00:31:15,680 --> 00:31:19,480 Speaker 2: s h O, and you can find Zakiya at z said. 601 00:31:19,320 --> 00:31:22,080 Speaker 1: So follow us on Spotify or wherever else you listen 602 00:31:22,120 --> 00:31:23,000 Speaker 1: to podcasts. 603 00:31:23,480 --> 00:31:27,000 Speaker 2: Dope Labs is produced by Jenny radalt Mass of Waverner Studios. 604 00:31:27,040 --> 00:31:29,200 Speaker 1: Mixing and sound design are by Hannes Brown. 605 00:31:29,720 --> 00:31:33,440 Speaker 2: Our theme music is by Taka Yasuzawa and Alex Sugiura, 606 00:31:33,480 --> 00:31:37,440 Speaker 2: with additional music by Elijah Lex Harvey. Dope Labs is 607 00:31:37,440 --> 00:31:40,240 Speaker 2: a production of Spotify and Mega Oh Media Group, and. 608 00:31:40,240 --> 00:31:44,400 Speaker 1: It's executive produced by us T T show Da Zakiah Wattley. 609 00:31:49,360 --> 00:31:50,600 Speaker 2: What would you put in your mem You. 610 00:31:50,600 --> 00:31:54,640 Speaker 1: Know who I really feel like is aligned with like? 611 00:31:54,720 --> 00:31:58,760 Speaker 1: My brand is somewhere between Anita Baker and Meghan Thesallion. Yes, 612 00:31:58,920 --> 00:32:00,800 Speaker 1: and so I really have to do some micro targeting. 613 00:32:00,800 --> 00:32:03,160 Speaker 1: To get certain groups of people where I feel like 614 00:32:03,240 --> 00:32:05,320 Speaker 1: Meg will be effective, but not the groups that will 615 00:32:05,320 --> 00:32:07,640 Speaker 1: be turned off by that, and that are more Anita 616 00:32:07,680 --> 00:32:11,680 Speaker 1: Baker and Shade. Yeah, but that's where I land. Anita 617 00:32:11,760 --> 00:32:13,920 Speaker 1: the Stallion, Anita the Stallion,