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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Annotation Tool and Dataset for Fact-Checking Podcasts · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2502.01402/</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/2502.01402/feed.xml" rel="self" type="application/rss+xml" /><item><title>Annotation Tool and Dataset for Fact-Checking Podcasts — mentioned by MrCoffee7</title><link>https://news.ycombinator.com/item?id=45008949</link><guid isPermaLink="false">urn:hackerpapers:mention:2502.01402:45008949</guid><pubDate>Mon, 25 Aug 2025 00:02:50 GMT</pubDate><description>&lt;p&gt;Those are some pretty sweeping allegations made in the 18 bullet points. It would be interesting if you could run an AI summarizer to list which points were raised during Lex&amp;#x27;s podcast that support each of the 18 bullet points, and then run some kind of AI fact checker on each supporting argument. That makes me wonder if there are any people or discussion forums that are already doing fact checking of Lex&amp;#x27;s podcasts? It looks like some researchers are beginning to study the issue of fact checking podcasts, eg. https://arxiv.org/abs/2502.01402 .&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2502.01402/"&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>
