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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>TikTok's recommendations skewed towards Republican content during the 2024 U.S. presidential race · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2501.17831/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2501.17831/feed.xml" rel="self" type="application/rss+xml" /><item><title>TikTok's recommendations skewed towards Republican content during the 2024 U.S. presidential race — mentioned by xiii1408</title><link>https://news.ycombinator.com/item?id=42936574</link><guid isPermaLink="false">urn:hackerpapers:mention:2501.17831:42936574</guid><pubDate>Tue, 04 Feb 2025 18:28:36 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s another sock puppet study: https://arxiv.org/abs/2501.17831 Very similar methodology to an earlier study the government cited in their case against TikTok: https://networkcontagion.us/wp-content/uploads/NCRI-Report_-... There are a number of issues with these studies, one being that the way the sock puppet bots interact with content is not exactly organic. Typically they search for content in a conditioning phase, followed by random scrolling during which the recommended videos are collected and classified by an LLM. Modern recommendation algorithms famously work by examining how long…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2501.17831/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SI</category></item></channel></rss>
