1 00:00:00,560 --> 00:00:04,440 Speaker 1: Already and this is the Daily This is the Daily OS. 2 00:00:05,200 --> 00:00:06,880 Speaker 2: Oh, now it makes sense. 3 00:00:14,800 --> 00:00:17,880 Speaker 3: Good morning, and welcome to the Daily OS. It's Thursday, 4 00:00:17,920 --> 00:00:19,440 Speaker 3: the seventeenth of October. 5 00:00:19,600 --> 00:00:21,000 Speaker 2: I'm Emma, I'm Sam. 6 00:00:21,320 --> 00:00:24,720 Speaker 1: The US election is less than three weeks away. And 7 00:00:24,960 --> 00:00:27,360 Speaker 1: while we don't know who's going to win until the 8 00:00:27,480 --> 00:00:29,440 Speaker 1: votes are cast, and even then we're gonna have to 9 00:00:29,440 --> 00:00:31,840 Speaker 1: wait until it all comes out, what we do know 10 00:00:31,880 --> 00:00:34,159 Speaker 1: for sure is that this election has been one of 11 00:00:34,200 --> 00:00:38,479 Speaker 1: the most complex and anticipated political races in modern history. 12 00:00:39,159 --> 00:00:43,519 Speaker 3: For many young Americans in particular, this unprecedented election has 13 00:00:43,560 --> 00:00:47,839 Speaker 3: played out via short, vertical videos on their social media feeds, 14 00:00:47,960 --> 00:00:52,680 Speaker 3: in memes circulated through their group chats, via celebrity endorsements, 15 00:00:52,720 --> 00:00:57,000 Speaker 3: and on viral podcasts or late night appearances and algorithms. 16 00:00:57,320 --> 00:00:59,800 Speaker 2: So on today's show, Sam and I are going to go. 17 00:00:59,680 --> 00:01:03,200 Speaker 3: A little bit deeper into the experiences of young Americans 18 00:01:03,440 --> 00:01:06,680 Speaker 3: during this election. We'll look at the way that both 19 00:01:06,760 --> 00:01:10,319 Speaker 3: the current VP Kamala Harris and former President Donald Trump 20 00:01:10,319 --> 00:01:14,200 Speaker 3: have attempted to engage this younger cohort of voters. 21 00:01:14,600 --> 00:01:16,400 Speaker 1: Yeah, we're going to talk about what we think has 22 00:01:16,480 --> 00:01:20,200 Speaker 1: worked in the building of brand Harris and brands, Trump 23 00:01:20,440 --> 00:01:24,520 Speaker 1: and where young Americans actually get their news from the 24 00:01:24,560 --> 00:01:26,319 Speaker 1: First AMMA. What's making headlines. 25 00:01:29,880 --> 00:01:33,119 Speaker 3: Prime Minister Anthony Alberanzi has defended his decision to buy 26 00:01:33,160 --> 00:01:35,399 Speaker 3: a four point three million dollar property on the New 27 00:01:35,400 --> 00:01:38,600 Speaker 3: South Wales central Coast after he was criticized for the 28 00:01:38,640 --> 00:01:42,440 Speaker 3: timing of the purchase. Albanzi confirmed he bought the beachside 29 00:01:42,440 --> 00:01:45,360 Speaker 3: property in Copacabana, where he planned to move with his 30 00:01:45,400 --> 00:01:48,720 Speaker 3: fiance Jody Hayden. The PM, who said he's planning on 31 00:01:48,800 --> 00:01:52,040 Speaker 3: selling his property in Sydney's Inner West, has been criticized 32 00:01:52,080 --> 00:01:55,639 Speaker 3: for the decision, which Shadow Finance Minister Jane Hume called 33 00:01:55,840 --> 00:01:59,680 Speaker 3: tone deaf during a cost of living crisis. Albanzi told 34 00:01:59,720 --> 00:02:02,559 Speaker 3: reports he knows what it's like to have struggled, having 35 00:02:02,600 --> 00:02:05,200 Speaker 3: grown up in public housing, and said he's focused on 36 00:02:05,280 --> 00:02:09,120 Speaker 3: passing legislation to help more people own a home. Senior 37 00:02:09,120 --> 00:02:12,440 Speaker 3: government ministers have defended Albanesi, saying he can spend his 38 00:02:12,480 --> 00:02:16,480 Speaker 3: own money as he likes, while Green's Housing spokesperson Max 39 00:02:16,520 --> 00:02:19,800 Speaker 3: Chandler Mayther said the purchase reflected a system where property 40 00:02:19,840 --> 00:02:24,440 Speaker 3: investors can afford waterfront homes while quote millions can't even 41 00:02:24,520 --> 00:02:26,040 Speaker 3: find an affordable rental. 42 00:02:28,800 --> 00:02:32,399 Speaker 1: Westpac customers have been impacted by a third consecutive day 43 00:02:32,440 --> 00:02:36,880 Speaker 1: of online banking adages. Thousands of customers have reported issues 44 00:02:36,880 --> 00:02:40,240 Speaker 1: with the Westpac's online system along with its subsidiaries. Saint 45 00:02:40,280 --> 00:02:44,639 Speaker 1: George Real Time Outage Monitored down Detector recorded a peak 46 00:02:44,720 --> 00:02:48,160 Speaker 1: in the number of issues on Wednesday morning. Westpac, one 47 00:02:48,160 --> 00:02:50,640 Speaker 1: of Australia's Big four banks, has made a series of 48 00:02:50,680 --> 00:02:53,200 Speaker 1: statements on social media since the beginning of the week, 49 00:02:53,360 --> 00:02:56,760 Speaker 1: saying it was aware of the issues and quote working 50 00:02:56,800 --> 00:02:59,560 Speaker 1: around the clock to help customers access their bank. 51 00:03:02,440 --> 00:03:05,720 Speaker 3: The US government has threatened to stop supplying Israel with 52 00:03:05,760 --> 00:03:08,800 Speaker 3: weapons if the country doesn't allow more aid to enter 53 00:03:08,840 --> 00:03:12,200 Speaker 3: the Gaza Strip. A letter to Israeli leaders written by 54 00:03:12,320 --> 00:03:16,119 Speaker 3: US Defense Secretary Lloyd Austin and Secretary of State Anthony 55 00:03:16,120 --> 00:03:19,640 Speaker 3: Blincoln was leaked to the media. It called on leaders 56 00:03:19,680 --> 00:03:22,600 Speaker 3: to open up four border crossings into Gaza within the 57 00:03:22,600 --> 00:03:25,760 Speaker 3: next month to allow for a greater flow of aid, 58 00:03:25,960 --> 00:03:30,040 Speaker 3: including food, medicine, and vaccines, which the US says has 59 00:03:30,080 --> 00:03:33,760 Speaker 3: been mostly cut off. The letter said US shipments of 60 00:03:33,880 --> 00:03:37,360 Speaker 3: arms to Israel could be impacted if Israel fails to 61 00:03:37,480 --> 00:03:41,200 Speaker 3: allow for aid to enter Gaza and Israeli official said 62 00:03:41,240 --> 00:03:45,240 Speaker 3: authorities were reviewing the letter and taking the matter seriously. 63 00:03:47,640 --> 00:03:51,560 Speaker 1: And in today's good news. The WNBA, the women's professional 64 00:03:51,640 --> 00:03:55,080 Speaker 1: basketball league in the US, had its largest audience for 65 00:03:55,160 --> 00:03:58,880 Speaker 1: a finals match in about twenty three years Game two 66 00:03:59,000 --> 00:04:01,880 Speaker 1: of the finals between New York and Minnesota. It drew 67 00:04:01,880 --> 00:04:05,600 Speaker 1: in roughly one point three million viewers. The previous record 68 00:04:05,680 --> 00:04:07,600 Speaker 1: was set in two thousand and one, when more than 69 00:04:07,600 --> 00:04:10,720 Speaker 1: one and a half million people tuned in, according to 70 00:04:10,800 --> 00:04:13,720 Speaker 1: the online tracker Sports Media Watch. It was also the 71 00:04:13,760 --> 00:04:16,200 Speaker 1: most of you game this year that did not feature 72 00:04:16,400 --> 00:04:20,600 Speaker 1: WNBA superstar Caitlin Clark. Viewership was also one hundred and 73 00:04:20,680 --> 00:04:23,560 Speaker 1: fifteen percent higher than the audience for last year's Game 74 00:04:23,600 --> 00:04:24,160 Speaker 1: two final. 75 00:04:27,400 --> 00:04:30,320 Speaker 3: So, Sam, somehow, we are now less than three weeks 76 00:04:30,360 --> 00:04:33,440 Speaker 3: away from the US presidential election. 77 00:04:34,400 --> 00:04:35,719 Speaker 2: It's been a journey. 78 00:04:35,880 --> 00:04:37,400 Speaker 1: Wow, I feel like I've aged. 79 00:04:37,600 --> 00:04:38,240 Speaker 2: Yeah, me too. 80 00:04:38,279 --> 00:04:39,599 Speaker 1: Well, I'm not even in America. 81 00:04:39,720 --> 00:04:41,560 Speaker 2: We aren't imagine what it's like over there. 82 00:04:41,960 --> 00:04:43,360 Speaker 3: And that's kind of what we want to talk a 83 00:04:43,400 --> 00:04:45,880 Speaker 3: little bit more about today in terms of what this 84 00:04:45,960 --> 00:04:49,359 Speaker 3: election has meant for young people through the lens of 85 00:04:49,720 --> 00:04:54,120 Speaker 3: social media and the online world. Let's lay some foundations first. 86 00:04:54,200 --> 00:04:56,360 Speaker 3: So I want to look at Donald Trump and Kamala 87 00:04:56,440 --> 00:04:59,640 Speaker 3: Harris both as brands. Can you give me a sense 88 00:04:59,640 --> 00:05:03,640 Speaker 3: of how these candidates and the massive strategic machines that 89 00:05:03,680 --> 00:05:06,839 Speaker 3: sit behind them are actually trying to sell themselves to 90 00:05:07,000 --> 00:05:07,720 Speaker 3: younger voters. 91 00:05:07,920 --> 00:05:10,280 Speaker 1: It's an interesting exercise, isn't it to think of them 92 00:05:10,400 --> 00:05:12,839 Speaker 1: like a serial box and how are they putting themselves 93 00:05:12,920 --> 00:05:16,200 Speaker 1: on the shelf to position themselves to get a young 94 00:05:16,279 --> 00:05:18,440 Speaker 1: voter who might not have voted before or might not 95 00:05:18,520 --> 00:05:20,960 Speaker 1: have turned out to vote when they were eligible last time. 96 00:05:21,240 --> 00:05:23,920 Speaker 1: So we'll start with brand Harris. She had a really 97 00:05:23,960 --> 00:05:26,960 Speaker 1: big job ahead of her because she entered the race late. 98 00:05:27,279 --> 00:05:29,320 Speaker 1: It was the latest I think, to enter the presidential 99 00:05:29,400 --> 00:05:32,039 Speaker 1: race in at least the last fifty or sixty years. 100 00:05:32,360 --> 00:05:34,960 Speaker 1: She took over from Joe Biden when he pulled out 101 00:05:34,960 --> 00:05:38,080 Speaker 1: a couple of months ago. Now, younger voters weren't connecting 102 00:05:38,080 --> 00:05:41,920 Speaker 1: with Joe Biden. They were abandoning the president, not necessarily 103 00:05:41,960 --> 00:05:45,680 Speaker 1: in favor of support for Donald Trump, but more in 104 00:05:45,720 --> 00:05:49,280 Speaker 1: favor of third party candidates or independent candidates, or perhaps 105 00:05:49,320 --> 00:05:52,160 Speaker 1: just not voting at all and totally disengaging. 106 00:05:51,480 --> 00:05:52,679 Speaker 2: Which we know is a big issue. 107 00:05:52,720 --> 00:05:56,760 Speaker 3: In the US because voting is not compulsory, so people 108 00:05:56,800 --> 00:05:58,799 Speaker 3: really have to want to turn out totally. 109 00:05:58,839 --> 00:06:00,960 Speaker 1: There's kind of two challenges in the US. One is 110 00:06:00,960 --> 00:06:03,039 Speaker 1: to convince them that they should vote for you, and 111 00:06:03,080 --> 00:06:05,840 Speaker 1: the next bit is actually to convince them to vote. So, 112 00:06:05,880 --> 00:06:08,440 Speaker 1: in terms of brand Harris entering the race, there was 113 00:06:08,480 --> 00:06:10,640 Speaker 1: one line in an article I was reading that sums 114 00:06:10,640 --> 00:06:14,440 Speaker 1: it up into three categories really nicely. This analyst said, 115 00:06:14,560 --> 00:06:17,440 Speaker 1: she's representing three things that young people said they want 116 00:06:17,480 --> 00:06:21,800 Speaker 1: most authenticity, actionable policies, and a change from the status quo. 117 00:06:22,480 --> 00:06:24,839 Speaker 1: Now it's clear to me that the authenticity element is 118 00:06:24,880 --> 00:06:28,520 Speaker 1: being presented through her emphasis on her story, her early life, 119 00:06:28,520 --> 00:06:31,800 Speaker 1: her college days, her family history. She is spending some 120 00:06:31,960 --> 00:06:35,039 Speaker 1: time talking about climate change and racial justice and other 121 00:06:35,120 --> 00:06:38,240 Speaker 1: kind of hot young people's issues or issues we know 122 00:06:38,640 --> 00:06:42,080 Speaker 1: win young votes, but she's really focusing on these two 123 00:06:42,240 --> 00:06:46,520 Speaker 1: big issues, economic inequality and abortion rights and tying them 124 00:06:46,600 --> 00:06:49,320 Speaker 1: very closely to an America that young people want to 125 00:06:49,320 --> 00:06:52,760 Speaker 1: grow up in. And the actionable side of that is 126 00:06:52,800 --> 00:06:55,200 Speaker 1: like she's giving lots of tangible plans and you know, 127 00:06:55,240 --> 00:06:57,440 Speaker 1: one hundred day promises and all of that kind of thing. 128 00:06:57,880 --> 00:07:01,800 Speaker 3: It's interesting that you mentioned the kinds of focuses for 129 00:07:01,880 --> 00:07:06,280 Speaker 3: Kamala Harris, because you could be forgiven for not knowing 130 00:07:06,480 --> 00:07:09,520 Speaker 3: that there are actionable policies that she is putting out 131 00:07:09,520 --> 00:07:12,760 Speaker 3: there for this young voter. It's hard to kind of 132 00:07:12,800 --> 00:07:16,720 Speaker 3: cut through the world of brat Summer existing in the 133 00:07:16,800 --> 00:07:21,760 Speaker 3: context there has been that memification around this election. But 134 00:07:21,880 --> 00:07:23,840 Speaker 3: she really does seem to be spending a lot of 135 00:07:23,840 --> 00:07:27,720 Speaker 3: time aligning brand Harris with a change from the status quota. 136 00:07:28,200 --> 00:07:31,000 Speaker 3: She's not Joe Biden, is something she has been saying 137 00:07:31,040 --> 00:07:33,440 Speaker 3: a lot along the campaign trail. You know, she's trying 138 00:07:33,480 --> 00:07:38,160 Speaker 3: to really distinguish herself as being a unique candidate away 139 00:07:38,280 --> 00:07:41,680 Speaker 3: from the older male leader that voters are used to seeing, 140 00:07:42,120 --> 00:07:44,480 Speaker 3: a change from what she describes as the same old 141 00:07:44,560 --> 00:07:48,280 Speaker 3: playbook from Donald Trump and here's political antics. In many ways, 142 00:07:48,320 --> 00:07:50,640 Speaker 3: I think she's really trying to make her brand less 143 00:07:50,640 --> 00:07:53,480 Speaker 3: about her, less about the person, and more about what 144 00:07:53,680 --> 00:07:56,560 Speaker 3: she represents. What is her identity, What are the policy 145 00:07:56,600 --> 00:07:59,840 Speaker 3: issues that she wants to drive change behind for young voters, 146 00:08:00,080 --> 00:08:01,600 Speaker 3: what young voters want from their. 147 00:08:01,480 --> 00:08:04,320 Speaker 1: Politics, Which is crazy, right, because she's part of the 148 00:08:04,400 --> 00:08:07,960 Speaker 1: current government so normally in the presidential debate you would 149 00:08:08,000 --> 00:08:11,600 Speaker 1: have a candidate in Harris's position be defending her record 150 00:08:11,960 --> 00:08:14,760 Speaker 1: and saying not to change and saying that things are 151 00:08:14,760 --> 00:08:16,640 Speaker 1: great as they are and we need more of it. 152 00:08:17,040 --> 00:08:18,800 Speaker 1: So the fact that she's then the challenger is a 153 00:08:18,800 --> 00:08:20,640 Speaker 1: bit of a weird one for US politics and for 154 00:08:20,680 --> 00:08:22,960 Speaker 1: the US media. I also want to point out that 155 00:08:23,480 --> 00:08:26,680 Speaker 1: she's got this message of change and of getting rid 156 00:08:26,680 --> 00:08:30,840 Speaker 1: of the status quo. But simultaneously she's also saying that 157 00:08:30,920 --> 00:08:34,680 Speaker 1: she wouldn't have made any decisions differently from Joe Biden's 158 00:08:34,720 --> 00:08:38,000 Speaker 1: over the past four years. So that's where we're starting 159 00:08:38,000 --> 00:08:41,080 Speaker 1: to see the conflict within that positioning to a younger 160 00:08:41,160 --> 00:08:44,120 Speaker 1: voter of vote for me, I'm different, but I actually 161 00:08:44,160 --> 00:08:45,520 Speaker 1: wouldn't have done anything differently. 162 00:08:45,640 --> 00:08:47,760 Speaker 3: Yeah, and that's the defense in the line that we've 163 00:08:47,760 --> 00:08:50,679 Speaker 3: heard from Trump and Jade Vance's camp constantly. You know 164 00:08:51,040 --> 00:08:54,000 Speaker 3: this retric of you've had four years to show us 165 00:08:54,080 --> 00:08:56,680 Speaker 3: that you care about this. I suppose it's so difficult 166 00:08:56,679 --> 00:09:01,000 Speaker 3: type wrote for her. Definitely, absolutely and uniquely kind of rope. 167 00:09:01,040 --> 00:09:02,800 Speaker 3: I don't think you would hear that kind of talk 168 00:09:02,920 --> 00:09:06,679 Speaker 3: from an Australian election. What about the other side we've 169 00:09:06,679 --> 00:09:09,440 Speaker 3: heard about brand Harris tell me about brand Trump. 170 00:09:09,760 --> 00:09:11,680 Speaker 1: Well, Brand Trump is doing what he does best, and 171 00:09:11,720 --> 00:09:15,079 Speaker 1: that is appealing to a sense of nationalism, a sense 172 00:09:15,160 --> 00:09:19,280 Speaker 1: of commerce, and he's been very vocal on social media 173 00:09:19,400 --> 00:09:24,120 Speaker 1: about issues like job creation, taxes, grocery items going up 174 00:09:24,160 --> 00:09:27,280 Speaker 1: in price, and of course immigration. It is a more 175 00:09:27,320 --> 00:09:29,840 Speaker 1: traditional message to younger voters, but the way that he's 176 00:09:29,880 --> 00:09:34,760 Speaker 1: delivering that message with memes, viral content, and very targeted 177 00:09:34,800 --> 00:09:38,960 Speaker 1: appearances on youth centric YouTube channels and podcasts where he 178 00:09:39,000 --> 00:09:43,080 Speaker 1: gets a bit more room to express his unapologetically personal brand, 179 00:09:43,760 --> 00:09:47,840 Speaker 1: that is really resonating with a certain segment of younger voters, 180 00:09:48,280 --> 00:09:51,240 Speaker 1: especially those who are feeling disillusioned by what they see 181 00:09:51,360 --> 00:09:55,560 Speaker 1: as a broken political system, and especially young men. Right. 182 00:09:56,200 --> 00:10:00,000 Speaker 3: This is obviously a really unique climate that these can 183 00:10:00,000 --> 00:10:02,360 Speaker 3: and did it's find themselves in in terms of personal 184 00:10:02,400 --> 00:10:06,280 Speaker 3: brand in the online space, twenty twenty feels like a 185 00:10:06,320 --> 00:10:09,920 Speaker 3: lifetime ago, but of course it was an election where 186 00:10:10,080 --> 00:10:12,320 Speaker 3: a lot of rhetoric played out online in the lead 187 00:10:12,400 --> 00:10:15,560 Speaker 3: up to that vote. Is there anything we can learn 188 00:10:15,679 --> 00:10:17,800 Speaker 3: from young Americans from that election? 189 00:10:17,880 --> 00:10:18,520 Speaker 2: How did they vote? 190 00:10:18,559 --> 00:10:20,480 Speaker 1: Then? Well, I think it's helpful to look at twenty 191 00:10:20,559 --> 00:10:23,120 Speaker 1: twenty in trying to figure out what to expect from 192 00:10:23,160 --> 00:10:26,000 Speaker 1: this year because all of that social media noise kind 193 00:10:26,000 --> 00:10:29,079 Speaker 1: of needs to translate to votes. So in twenty twenty, 194 00:10:29,440 --> 00:10:33,400 Speaker 1: statisticians say about fifty percent of Americans under twenty nine 195 00:10:33,679 --> 00:10:36,560 Speaker 1: actually turned out and voted, and that was up eleven 196 00:10:36,640 --> 00:10:39,840 Speaker 1: percent from twenty sixteen, So that made twenty twenty one 197 00:10:39,880 --> 00:10:41,800 Speaker 1: of the largest youth turnouts ever. 198 00:10:42,120 --> 00:10:44,360 Speaker 3: I just want to take a moment to reflect on that, 199 00:10:44,520 --> 00:10:49,079 Speaker 3: like fifty percent of young Americans voting being celebrated as 200 00:10:49,120 --> 00:10:53,760 Speaker 3: one of the largest turnouts ever. That is a staggering 201 00:10:53,840 --> 00:10:56,520 Speaker 3: number when you consider the voter turnout here in Australia, 202 00:10:56,559 --> 00:11:00,560 Speaker 3: and I think worth remembering when considering the kind of 203 00:11:00,640 --> 00:11:05,680 Speaker 3: online zeitgeist, the cultural conversations, what that actually translates into 204 00:11:05,800 --> 00:11:08,080 Speaker 3: in terms of boots on the ground on polling day 205 00:11:08,360 --> 00:11:09,360 Speaker 3: is a very different. 206 00:11:09,080 --> 00:11:12,360 Speaker 1: Story, definitely, and that's why we see so much work 207 00:11:12,400 --> 00:11:14,800 Speaker 1: being done on the turnout to vote and rock the 208 00:11:14,880 --> 00:11:16,400 Speaker 1: vote and all of those kind of things just to 209 00:11:16,440 --> 00:11:18,960 Speaker 1: get people to turn up. So, in terms of those 210 00:11:19,000 --> 00:11:22,240 Speaker 1: who did vote, younger voters voted for Biden over Trump 211 00:11:22,280 --> 00:11:26,080 Speaker 1: by a margin of about twenty percentage points. It's worth 212 00:11:26,160 --> 00:11:30,400 Speaker 1: noting that Trump actually gained eight points amongst millennials, so 213 00:11:30,440 --> 00:11:32,880 Speaker 1: those who were between twenty four and thirty nine in 214 00:11:32,960 --> 00:11:36,839 Speaker 1: twenty twenty compared with his twenty sixteen performance. So there 215 00:11:36,960 --> 00:11:38,920 Speaker 1: was a little bit of a trend that analysts have 216 00:11:38,960 --> 00:11:41,480 Speaker 1: been looking at to see would Trump be able to 217 00:11:41,520 --> 00:11:44,800 Speaker 1: bring down the average age of his voters. People who 218 00:11:44,840 --> 00:11:49,160 Speaker 1: vote for Republicans in a presidential debate typically do trend older, 219 00:11:49,679 --> 00:11:52,440 Speaker 1: So there was interest in that trend of perhaps he 220 00:11:52,520 --> 00:11:53,960 Speaker 1: is resonating with younger people. 221 00:11:54,400 --> 00:11:58,680 Speaker 3: I wonder, and this is purely speculative, but this notion 222 00:11:58,920 --> 00:12:03,040 Speaker 3: that Trump points among some young voters when he ran 223 00:12:03,080 --> 00:12:07,599 Speaker 3: against Biden compared to when he ran against Hillary Clinton, 224 00:12:08,040 --> 00:12:10,440 Speaker 3: I wonder if that tells us that that younger audience 225 00:12:11,080 --> 00:12:14,840 Speaker 3: preferred the female candidate in that earlier instance. I wonder 226 00:12:14,880 --> 00:12:18,040 Speaker 3: if it was more about Biden's lack of popularity than 227 00:12:18,040 --> 00:12:20,439 Speaker 3: Trump's increased popularity potentially. 228 00:12:20,480 --> 00:12:23,000 Speaker 1: I mean, another factor to consider was that Trump was 229 00:12:23,040 --> 00:12:26,120 Speaker 1: running against a candidate older than him in Joe Biden, 230 00:12:26,200 --> 00:12:28,480 Speaker 1: and so that might have influenced some people as well. 231 00:12:28,920 --> 00:12:32,600 Speaker 1: It's hard to really nail exactly what happened on that day, 232 00:12:32,600 --> 00:12:34,880 Speaker 1: and then you know, people's whole jobs are to analyze 233 00:12:34,880 --> 00:12:37,800 Speaker 1: presidential results for the next four years. Yeah, and this 234 00:12:37,880 --> 00:12:40,400 Speaker 1: year is looking just as kind of uncertain in that way. 235 00:12:40,600 --> 00:12:44,160 Speaker 3: Yeah, we keep hearing about the uncertainty of this November 236 00:12:44,200 --> 00:12:48,480 Speaker 3: five vote. The polls are extremely close from what we 237 00:12:48,559 --> 00:12:51,560 Speaker 3: are hearing. So do we have any updated numbers in 238 00:12:51,640 --> 00:12:53,280 Speaker 3: terms of the younger vote for this election. 239 00:12:53,600 --> 00:12:55,959 Speaker 1: I'm always cautious about poles. You and I have had 240 00:12:55,960 --> 00:12:58,440 Speaker 1: that chat on the podcast before. I like the Harvard 241 00:12:58,440 --> 00:13:01,080 Speaker 1: Youth poll they seem to have over the years, had 242 00:13:01,120 --> 00:13:05,160 Speaker 1: really quite you know, at least scientifically executed polling, and 243 00:13:05,600 --> 00:13:08,600 Speaker 1: they released a poll last month. It shows Harris has 244 00:13:08,679 --> 00:13:12,439 Speaker 1: a commanding lead amongst gen Z's twenty three percentage points. 245 00:13:12,520 --> 00:13:15,400 Speaker 1: Was the difference there in under thirties amongst those who 246 00:13:15,480 --> 00:13:20,000 Speaker 1: are registered to vote. Amongst female voters, that gap is 247 00:13:20,040 --> 00:13:23,520 Speaker 1: nearly fifty percent, So what we're seeing e merge is 248 00:13:23,760 --> 00:13:26,320 Speaker 1: a bit of a difference in gender that's now being 249 00:13:26,360 --> 00:13:30,960 Speaker 1: accentuated after Harris replaced Joe Biden. There was another really 250 00:13:31,000 --> 00:13:34,440 Speaker 1: interesting part of this poll relating to memes. So fifty 251 00:13:34,480 --> 00:13:37,120 Speaker 1: three percent of young adults said they had seen a 252 00:13:37,160 --> 00:13:40,040 Speaker 1: meme about Kamala Harris in the last month of those 253 00:13:40,040 --> 00:13:42,679 Speaker 1: people who saw a meme, fifty percent said it didn't 254 00:13:42,679 --> 00:13:45,360 Speaker 1: make a difference to how they felt about her, sixteen 255 00:13:45,360 --> 00:13:48,440 Speaker 1: percent said it made them feel more negatively towards her, 256 00:13:48,840 --> 00:13:51,360 Speaker 1: and thirty four percent, so one in three said it 257 00:13:51,400 --> 00:13:54,240 Speaker 1: made them like her more. Wow, that was really cool. 258 00:13:54,280 --> 00:13:56,839 Speaker 1: Then they did the same question for Trump. Fifty six 259 00:13:56,920 --> 00:13:59,839 Speaker 1: percent said they had seen a meme about Trump. On 260 00:14:00,120 --> 00:14:02,960 Speaker 1: percent of people said didn't change their view, twenty six 261 00:14:03,000 --> 00:14:05,599 Speaker 1: percent of people said it made them feel more negatively, 262 00:14:05,920 --> 00:14:09,199 Speaker 1: and only thirteen percent said it made them like him more. 263 00:14:09,559 --> 00:14:13,520 Speaker 3: I think that tells us, and probably unsurprisingly, that there 264 00:14:13,559 --> 00:14:16,400 Speaker 3: is a smaller pool of people who haven't made up 265 00:14:16,440 --> 00:14:18,800 Speaker 3: their mind about Trump. Sure, he's been in the public 266 00:14:18,840 --> 00:14:22,600 Speaker 3: eye their whole lives, he had his stint as president. 267 00:14:22,800 --> 00:14:25,800 Speaker 3: He is now running in a third campaign, So I 268 00:14:25,840 --> 00:14:29,520 Speaker 3: suppose there's been plenty of time for Americans to figure 269 00:14:29,560 --> 00:14:31,320 Speaker 3: him out or figure out what they think and feel 270 00:14:31,320 --> 00:14:34,680 Speaker 3: about him, whereas a lot wasn't known about Kamala Harris 271 00:14:34,840 --> 00:14:37,800 Speaker 3: until you know, even the last few months for many voters. 272 00:14:38,200 --> 00:14:40,800 Speaker 1: Yeah, and so now the job for both of the 273 00:14:40,840 --> 00:14:43,760 Speaker 1: campaigns has been we've built these brands, We've decided what 274 00:14:43,800 --> 00:14:46,160 Speaker 1: we want to resonate with young voters, where do we 275 00:14:46,160 --> 00:14:49,280 Speaker 1: actually show up online to deliver that message to them? 276 00:14:49,640 --> 00:14:51,080 Speaker 1: And so this is a bit of a pattern now 277 00:14:51,080 --> 00:14:53,320 Speaker 1: with the Trump campaign, but it's very clear that his 278 00:14:53,400 --> 00:14:56,200 Speaker 1: focus has been on younger men. So it was four 279 00:14:56,240 --> 00:14:59,120 Speaker 1: months ago almost when he sat down with Logan Paul, 280 00:14:59,160 --> 00:15:02,760 Speaker 1: who was an influence and a wrestler for his Impulsive podcast, 281 00:15:02,840 --> 00:15:05,240 Speaker 1: and that has been viewed over six million times on 282 00:15:05,280 --> 00:15:08,360 Speaker 1: YouTube alone. Then he's gone on the All In podcast, 283 00:15:08,400 --> 00:15:11,080 Speaker 1: which is a business podcast targeted at a kind of 284 00:15:11,360 --> 00:15:15,880 Speaker 1: entrepreneurial tech industry, Silicon Valley crowd. They have a majority 285 00:15:15,920 --> 00:15:18,640 Speaker 1: male audience as well. He's done live streams with one 286 00:15:18,680 --> 00:15:21,840 Speaker 1: of the most followed gen Z streamers, Aidan Ross. He's 287 00:15:21,840 --> 00:15:25,200 Speaker 1: played golf on TikTok with another influencer, and of course 288 00:15:25,240 --> 00:15:28,240 Speaker 1: he's had the backing of Elon Musk on X. There's 289 00:15:28,280 --> 00:15:30,440 Speaker 1: a long list of other examples, but the key theme 290 00:15:30,760 --> 00:15:33,200 Speaker 1: to me at least is that these are all environments 291 00:15:33,240 --> 00:15:36,800 Speaker 1: where Donald Trump has been allowed to be more himself 292 00:15:36,880 --> 00:15:39,840 Speaker 1: than a sit down political interview. There's a lot less structure, 293 00:15:40,120 --> 00:15:42,760 Speaker 1: it's often not in a studio environment, and I think 294 00:15:42,800 --> 00:15:44,600 Speaker 1: that's a very conscious effort. 295 00:15:44,480 --> 00:15:49,640 Speaker 3: Interesting and also interesting that the influences these kind of 296 00:15:49,800 --> 00:15:54,160 Speaker 3: tech figures media figures that he has chosen to interact 297 00:15:54,200 --> 00:15:57,680 Speaker 3: with are all male, all have very male audiences. So 298 00:15:57,720 --> 00:16:02,400 Speaker 3: it's as though he's cementing his status as a popular 299 00:16:02,400 --> 00:16:05,240 Speaker 3: figure amongst the groups that he already has on side, 300 00:16:05,440 --> 00:16:08,560 Speaker 3: and he doesn't appear to be making a deliberate effort 301 00:16:08,600 --> 00:16:11,200 Speaker 3: to appeal to anyone who he thinks might have already 302 00:16:11,200 --> 00:16:14,000 Speaker 3: written him off. So what about Kamala Harris. I mean, 303 00:16:14,160 --> 00:16:16,960 Speaker 3: she's been all over the internet, all over social media. 304 00:16:17,280 --> 00:16:19,680 Speaker 3: Speaking of popular podcast you know, she sat down on 305 00:16:19,680 --> 00:16:21,720 Speaker 3: one of the biggest podcasts in the world very recently. 306 00:16:22,160 --> 00:16:24,280 Speaker 3: Tell me about Brand Harris. 307 00:16:24,240 --> 00:16:26,800 Speaker 1: Well, I think Brand Harris is making more use of 308 00:16:27,360 --> 00:16:31,120 Speaker 1: their own social media channels. So Trump is obviously prolific 309 00:16:31,200 --> 00:16:35,040 Speaker 1: on truth Social his own social media channel, and he's 310 00:16:35,200 --> 00:16:37,200 Speaker 1: very busy on x now as well, but he hasn't 311 00:16:37,200 --> 00:16:39,880 Speaker 1: been that active, or at least not compared to the 312 00:16:39,920 --> 00:16:43,440 Speaker 1: Harris campaign on more traditional gen Z platforms like TikTok 313 00:16:43,560 --> 00:16:46,400 Speaker 1: or Instagram. Harris has really been blitzing it. There's a 314 00:16:46,400 --> 00:16:48,160 Speaker 1: lot of you know, collab posts, and there's a lot 315 00:16:48,160 --> 00:16:50,160 Speaker 1: of tags, a lot of comments on other people's posts, 316 00:16:50,200 --> 00:16:53,360 Speaker 1: a lot of memes that they are creating themselves, and 317 00:16:53,400 --> 00:16:55,240 Speaker 1: so there's a lot more use of those platforms. As 318 00:16:55,280 --> 00:16:57,400 Speaker 1: you said, Call Her Daddy one of the biggest podcasts 319 00:16:57,440 --> 00:16:59,960 Speaker 1: in the world. She was on that podcast last week. 320 00:17:00,600 --> 00:17:04,160 Speaker 1: She invited two hundred full time creators to the Democratic 321 00:17:04,200 --> 00:17:07,840 Speaker 1: Convention to capture content from the convention to really launch 322 00:17:07,880 --> 00:17:10,760 Speaker 1: that campaign. She's also been very active on late night TV. 323 00:17:10,880 --> 00:17:14,040 Speaker 1: You know, Jimmy Fallon, Jimmy Kimmel, Stephen Colbert, and they've 324 00:17:14,040 --> 00:17:17,000 Speaker 1: all got big YouTube followings as well. But there's also 325 00:17:17,000 --> 00:17:20,080 Speaker 1: been this whole side of the Harris campaign from endorsements 326 00:17:20,080 --> 00:17:22,840 Speaker 1: she didn't necessarily ask for or go on a podcast 327 00:17:22,840 --> 00:17:25,959 Speaker 1: to appear from. And we cannot ignore Charlie XCX and 328 00:17:26,240 --> 00:17:29,720 Speaker 1: Taylor Swift. And in swifts case, that happened just after 329 00:17:29,760 --> 00:17:33,560 Speaker 1: the presidential debate concluded between Harris and Trump. There were 330 00:17:33,600 --> 00:17:37,080 Speaker 1: four hundred thousand new visitors directly from Taylor Swift's Instagram 331 00:17:37,119 --> 00:17:40,760 Speaker 1: page to the voter registration portal, and thirty five thousand 332 00:17:40,760 --> 00:17:43,280 Speaker 1: of those actually went through and registered to vote. And 333 00:17:43,320 --> 00:17:46,040 Speaker 1: that was the single biggest day since twenty twenty. 334 00:17:45,840 --> 00:17:50,000 Speaker 3: Wow, for anyone who might write off the celebrity endorsement. 335 00:17:50,240 --> 00:17:54,159 Speaker 3: That is the evidence there of how influential a celebrity 336 00:17:54,200 --> 00:17:57,720 Speaker 3: can be when they have a say in this campaign. 337 00:17:58,240 --> 00:18:02,879 Speaker 3: I also think that that speaks to this organic reach 338 00:18:03,000 --> 00:18:05,760 Speaker 3: that Kamala Harris has had as Brand Harris. And you know, 339 00:18:05,800 --> 00:18:08,280 Speaker 3: whether or not it's as organic as it might look 340 00:18:08,320 --> 00:18:11,520 Speaker 3: to us on the surface, some of those viral moments 341 00:18:11,560 --> 00:18:14,840 Speaker 3: that clip from Fox News or one of the conservative 342 00:18:14,840 --> 00:18:19,280 Speaker 3: American news outlets where you've got a group of middle 343 00:18:19,280 --> 00:18:22,439 Speaker 3: aged journals trying to understand what brat is, and just 344 00:18:22,480 --> 00:18:25,560 Speaker 3: moments like that that really fell into Brand Harris's lap. 345 00:18:25,760 --> 00:18:27,560 Speaker 1: And I think they've been very good at owning those 346 00:18:27,600 --> 00:18:30,280 Speaker 1: moments and really kind of exploiting them or making them 347 00:18:30,280 --> 00:18:32,640 Speaker 1: Internet moments rather than just letting them float by. 348 00:18:33,040 --> 00:18:36,080 Speaker 3: Okay, So that gives us a really solid sense of 349 00:18:36,160 --> 00:18:39,320 Speaker 3: what's happening on social media online. But as you've kind 350 00:18:39,320 --> 00:18:41,600 Speaker 3: of touched on, none of that really matters if people 351 00:18:41,760 --> 00:18:46,040 Speaker 3: don't turn out and vote. So when we're talking about turnout, 352 00:18:46,160 --> 00:18:48,480 Speaker 3: you know that really is the multimillion dollar question. How 353 00:18:48,560 --> 00:18:52,439 Speaker 3: much can we actually rely on the success of this 354 00:18:52,560 --> 00:18:56,600 Speaker 3: online content of this brand building in terms of predicting 355 00:18:56,640 --> 00:18:58,960 Speaker 3: who is actually going to show up at. 356 00:18:58,920 --> 00:19:02,239 Speaker 1: The pulse' rely on it. I mean, think about it 357 00:19:02,320 --> 00:19:04,680 Speaker 1: like this, and this is a really non scientific way 358 00:19:04,680 --> 00:19:06,960 Speaker 1: to think about it. But let's say that all of 359 00:19:07,359 --> 00:19:10,960 Speaker 1: the most successful Instagram content that was resonating with Harris 360 00:19:11,040 --> 00:19:14,800 Speaker 1: voters was being watched by people in California. Harris has 361 00:19:14,800 --> 00:19:17,520 Speaker 1: already won California, that we kind of know that that's 362 00:19:17,520 --> 00:19:19,479 Speaker 1: going to be a Democrat leaning state. The way that 363 00:19:19,520 --> 00:19:22,040 Speaker 1: the electoral college works is it's really going to matter 364 00:19:22,080 --> 00:19:25,320 Speaker 1: about the young people in particular states, and so it's 365 00:19:25,400 --> 00:19:29,400 Speaker 1: not helpful really to say there's been more successful use 366 00:19:29,400 --> 00:19:32,760 Speaker 1: of TikTok and Instagram across the board for Harris, Therefore 367 00:19:32,800 --> 00:19:34,679 Speaker 1: she's going to win. It's going to come down to 368 00:19:34,880 --> 00:19:38,160 Speaker 1: turnout in some of those key areas. Michigan is having 369 00:19:38,200 --> 00:19:40,919 Speaker 1: a big youth discussion of how young people are going 370 00:19:40,960 --> 00:19:44,080 Speaker 1: to vote. There. There are four million voters who are 371 00:19:44,119 --> 00:19:46,119 Speaker 1: expected to vote for the first time in the US, 372 00:19:46,520 --> 00:19:48,720 Speaker 1: and if you look at all the voters who could vote, 373 00:19:49,000 --> 00:19:52,080 Speaker 1: there's going to be forty one million voters under thirty. 374 00:19:52,480 --> 00:19:54,680 Speaker 1: So this is a big group of people and it's 375 00:19:54,680 --> 00:19:58,960 Speaker 1: going to matter not about passion but more about turnout, 376 00:19:59,320 --> 00:20:02,600 Speaker 1: and maybe it is the young men that Trump is 377 00:20:02,800 --> 00:20:05,160 Speaker 1: more connected to, even though there are a smaller group 378 00:20:05,200 --> 00:20:08,520 Speaker 1: of people than the kind of Instagram and TikTok masses 379 00:20:08,680 --> 00:20:11,880 Speaker 1: of the Harris campaign that will make the difference. We're 380 00:20:11,880 --> 00:20:13,560 Speaker 1: not going to know. What we do know is that 381 00:20:13,600 --> 00:20:15,919 Speaker 1: it's hard to get young people to actually go to 382 00:20:15,960 --> 00:20:18,600 Speaker 1: the polls on voting day, even if they are registered. 383 00:20:19,480 --> 00:20:22,040 Speaker 1: And we're not going to see these efforts die down 384 00:20:22,200 --> 00:20:24,840 Speaker 1: until you know people have actually cast their ballots. 385 00:20:25,520 --> 00:20:28,320 Speaker 3: And if it's as close as the posters are predicting, 386 00:20:28,440 --> 00:20:30,760 Speaker 3: we're not going to have an answer within the first 387 00:20:30,880 --> 00:20:33,160 Speaker 3: hours or days even of poles closing. 388 00:20:33,280 --> 00:20:36,800 Speaker 1: So and then social media will be really interesting. 389 00:20:36,560 --> 00:20:40,960 Speaker 3: Exactly, It's definitely going to be fascinating however it plays out. 390 00:20:41,040 --> 00:20:42,960 Speaker 2: Sam. Thank you so much for your insights. 391 00:20:42,960 --> 00:20:44,720 Speaker 3: I think it's given us all a lot to think 392 00:20:44,760 --> 00:20:48,000 Speaker 3: about as we head towards the US election in two 393 00:20:48,119 --> 00:20:49,000 Speaker 3: and a bit weeks. 394 00:20:50,080 --> 00:20:52,280 Speaker 2: And thanks to you all for tuning in. 395 00:20:52,359 --> 00:20:55,520 Speaker 3: Don't forget to subscribe to the Daily OLS podcast wherever 396 00:20:55,560 --> 00:20:58,439 Speaker 3: you are listening or if you're over on our YouTube, Hello, 397 00:20:58,560 --> 00:21:00,840 Speaker 3: thank you for watching. Make sure you subscribe to the 398 00:21:00,920 --> 00:21:03,840 Speaker 3: channel so that you don't miss out on our next episode. 399 00:21:04,280 --> 00:21:06,920 Speaker 3: We will be back with another one tomorrow, but until then, 400 00:21:07,080 --> 00:21:08,120 Speaker 3: have a great day. 401 00:21:11,080 --> 00:21:13,399 Speaker 1: My name is Lily Maddon and I'm a proud Arunda 402 00:21:13,600 --> 00:21:18,399 Speaker 1: Bungelung Calkatin woman from Gadighl country. The Daily oz acknowledges 403 00:21:18,480 --> 00:21:20,639 Speaker 1: that this podcast is recorded on the lands of the 404 00:21:20,680 --> 00:21:24,240 Speaker 1: Gadighl people and pays respect to all Aboriginal and Torres 405 00:21:24,240 --> 00:21:27,159 Speaker 1: Strait Island and nations. We pay our respects to the 406 00:21:27,160 --> 00:21:29,959 Speaker 1: first peoples of these countries, both past and present.