TikTok's Algorithm
The Brian Lehrer Show
WNYC
4.6 • 1.5K Ratings
🗓️ 7 May 2024
⏱️ 14 minutes
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| 0:00.0 | Brian Ler on WNYC to close out the show today. |
| 0:13.4 | We'll talk about TikTok, including your calls on this question. |
| 0:16.9 | Does the TikTok algorithm or recommendation engine know you better than you know yourself? |
| 0:23.4 | And who does TikTok have you pinned down as? |
| 0:27.2 | 212-433 W-NYC, 212-433-9-6-9-2. |
| 0:35.0 | Does TikTok know you better than you know yourself? Or if not, who does it have you pegged as? |
| 0:41.1 | 212-433-962. And we're going to talk about this with John Herman, contributing writer at New York |
| 0:48.9 | Magazine's Intelligencer. He's their tech columnist. And in a recent article about this, Herman challenges the perception |
| 0:56.4 | that TikTok's algorithm is an all-powerful secret sauce that can read your mind better than users |
| 1:02.9 | know themselves. Instead, he argues that the real mystery lies in the user's willingness to |
| 1:08.0 | repeatedly engage with the platform, even if it feels like being a test |
| 1:12.3 | subject in exchange for entertainment. The article also explores how TikTok's Chinese ownership |
| 1:17.7 | has shaped the scrutiny and perception of the platform. John Herman, again, tech columnist for |
| 1:24.2 | New York Magazine's Intelligencer, joins us now.. Hey John, welcome back to WNYC. |
| 1:30.1 | Thanks so much for having me. So not the algorithm itself, something about the users comprises |
| 1:36.1 | the secret sauce. Want to explain? Yeah. So the TikTok's big innovation was forefronting recommendations. |
| 1:47.0 | If you think about Facebook in the old days, you sort of knew why you were seeing things. |
| 1:51.2 | You were friends with certain people. |
| 1:52.7 | You followed certain topics or pages. |
| 1:54.7 | Those things would show up a lot because that was the arrangement that you made. |
| 1:58.3 | Over time, Facebook and other platforms started making recommendations from elsewhere, based on invisible calculations that you made. Over time, Facebook and other platforms started making recommendations |
| 2:01.7 | from elsewhere based on invisible calculations that you weren't really a part of. TikTok jumped |
... |
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