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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>PoliticsBench: Benchmarking Political Values in Large Language Models with Multi-Turn Roleplay · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2603.23841/</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/2603.23841/feed.xml" rel="self" type="application/rss+xml" /><item><title>PoliticsBench: Benchmarking Political Values in Large Language Models with Multi-Turn Roleplay — mentioned by dijit</title><link>https://news.ycombinator.com/item?id=48841932</link><guid isPermaLink="false">urn:hackerpapers:mention:2603.23841:48841932</guid><pubDate>Thu, 09 Jul 2026 06:56:26 GMT</pubDate><description>&lt;p&gt;These articles are what makes me say that, https://arxiv.org/pdf/2603.23841 https://www.washingtonpost.com/technology/interactive/2026/0... (X post about it: https://x.com/genejchan/status/2070099701547090340) https://www.promptfoo.dev/blog/grok-4-political-bias/&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2603.23841/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>PoliticsBench: Benchmarking Political Values in Large Language Models with Multi-Turn Roleplay — mentioned by FunHearing3443</title><link>https://news.ycombinator.com/item?id=48838293</link><guid isPermaLink="false">urn:hackerpapers:mention:2603.23841:48838293</guid><pubDate>Wed, 08 Jul 2026 22:36:58 GMT</pubDate><description>&lt;p&gt;Studies on political bias in models consistently show that LLMs lean politically left. The only outlier is grok which leans right but by a smaller factor, according to this study for instance: https://arxiv.org/abs/2603.23841 Edit: adding some other studies that are easily retrievable with a quick search for those unsatisfied with the first one - https://arxiv.org/abs/2606.12922 https://arxiv.org/abs/2412.16746 Claiming reality has a left wing bias is certainly an opinion you&amp;#x27;re welcome to have to explain this, but the reality of the bias in models is well evidenced. It seems that practically…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2603.23841/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item><item><title>PoliticsBench: Benchmarking Political Values in Large Language Models with Multi-Turn Roleplay — mentioned by WatchDog</title><link>https://news.ycombinator.com/item?id=47608278</link><guid isPermaLink="false">urn:hackerpapers:mention:2603.23841:47608278</guid><pubDate>Wed, 01 Apr 2026 23:59:36 GMT</pubDate><description>&lt;p&gt;Overall it&amp;#x27;s worse than the other frontier models, but it&amp;#x27;s decent for queries about breaking news, due to being trained on twitter data. It&amp;#x27;s also better for queries about controversial topics, and topics that the other labs have deemed to be &amp;quot;unsafe&amp;quot;. Politically, it differs quite a bit from other models.[0] It&amp;#x27;s right leaning, although it&amp;#x27;s closer neutral than other models, defining what neutral is a challenge though. [0]: https://arxiv.org/abs/2603.23841&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2603.23841/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
