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18 results for “social media algorithms”
Concept3 mentions across episodes
social media
Topic3 mentions across episodes
social media
Topic2 mentions across episodes
social media algorithms
...algorithms are pointing people in prodigious ways. It's not just purely an academic question at this point. We can look at some of these algorithms, say, YouTube does tend to point people towards, you know, politically controversial or divisive issue
25:26 / 26:38
from transcript25:26 – 26:38
“TikTok killed follower counts and changed social media distribution forever”
...know, social media was an interest not an interest graph, a social graph based on, you know, who you follow, followers counted, and that's how your content was distributed distributed mostly. So who y
7:29 / 8:03
market insight7:29 – 8:03
...algorithms are bad. Right? Like, the algorithm is whatever. It's severing our ties. It's putting us into bubbles. It's exposing us too much to people outside of like, whatever the thing is. You know, okay. So there's there's trade offs with algorithm
18:35 / 19:46
from transcript18:35 – 19:46
They handle so much work for these advertisers and for these companies in their marketing efforts that I think they're in such a good position to just steal all of it now. And in terms of, you know, the tools Meta is using to do this, they've been re
21:43 / 22:49
from transcript21:43 – 22:49
ordered row of heads at the top of your app. And here's where the internal advantages that Facebook, the family of apps had, they already had this world class ranking algorithmic expertise within the company that was being applied to news feed, that
4:17:15 / 4:18:16
from transcript4:17:15 – 4:18:16
...In a social network, you know, if you scroll by something, it's very low until they made the ads, and it still is very low. But people are in there for three hours. Whereas on Google search, you're on there for thirty seconds, and you do 10 searches
59:53 / 1:01:02
from transcript59:53 – 1:01:02
...media. And so I think there's two elements to it. One is, like, it's our core business, ranking things. And two,
14:11 / 15:15
from transcript14:11 – 15:15
...Like, social media has created a world through algorithms, through recommendation algorithms, where we are really polarized. Everything is super personalized, all the content you see, and that makes us all polarized, very individualized, the loneline
22:30 / 23:50
from transcript22:30 – 23:50
...the AI social products that mimics Instagram feed or Twitter feed was bots and AI, is that that feels skeuomorphic. That feels like this is what it used to look like. We're gonna do it, but with AI. And maybe that's not really the form factor. And, y
11:59 / 13:08
from transcript11:59 – 13:08
...good at media. And so I think there's two elements to it. One is, like, it's our core business, ranking things. And two, yeah, there's really engaging AI stuff out there, and we need to be on top of it. Just like we were the shift to reels, just like
14:58 / 16:14
from transcript14:58 – 16:14
...algorithms are pointing people in prodigious ways. It's not just purely an academic question at this point. We can look at some of these algorithms, say, YouTube does tend to point people towards, you know, politically
24:46 / 25:51
from transcript24:46 – 25:51
...from social. You're already getting your social now in private in your digital living room. The town square can become something that is completely not social.
4:21:00 / 4:22:05
from transcript4:21:00 – 4:22:05
...on social media is wrong. That was the case during the catastrophe, the tragedy. And that was also the case again when the name came out, and everyone found the wrong person who had the same name and jumped to nine conclusions and wanted to, you know
50:09 / 51:23
from transcript50:09 – 51:23
And so I I think ultimately, Lon, this is a trend that's real and totally valid for reporting on. But I would also say I don't think it's gonna be a net positive for these brands long term because I don't think you can ever get better at knowing when
36:44 / 37:45
from transcript36:44 – 37:45
...is algorithms are powerful, and they're a tool that people use, and they serve the ends that we tell them. And if we tell them better ends, they'll help us get better results. And so this is something that we we talked about a lot at Substack because
19:22 / 20:38
from transcript19:22 – 20:38
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