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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Auditing Political Exposure Bias: Algorithmic Amplification on Twitter/X During the 2024 U.S. Presidential Election · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2411.01852/</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/2411.01852/feed.xml" rel="self" type="application/rss+xml" /><item><title>Auditing Political Exposure Bias: Algorithmic Amplification on Twitter/X During the 2024 U.S. Presidential Election — mentioned by p4bl0</title><link>https://news.ycombinator.com/item?id=42687726</link><guid isPermaLink="false">urn:hackerpapers:mention:2411.01852:42687726</guid><pubDate>Mon, 13 Jan 2025 19:31:59 GMT</pubDate><description>&lt;p&gt;This is by Twitter itself, before Musk: &amp;quot;Our results reveal a remarkably consistent trend: In six out of seven countries studied, the mainstream political right enjoys higher algorithmic amplification than the mainstream political left.&amp;quot; https://www.pnas.org/doi/10.1073/pnas.2025334119 This is more recent: &amp;quot;We observe a right-leaning bias in exposure for new accounts within their default timelines.&amp;quot; https://arxiv.org/abs/2411.01852 You can also find a lot a testimony from users like: https://www.reddit.com/r/behindthebastards/comments/1es2lfd/... --- Now from personal experience (I&amp;#x27;ve been on…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2411.01852/"&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>
