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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>BiasScanner: Automatic Detection and Classification of News Bias to Strengthen Democracy · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2407.10829/</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/2407.10829/feed.xml" rel="self" type="application/rss+xml" /><item><title>BiasScanner: Automatic Detection and Classification of News Bias to Strengthen Democracy — mentioned by jll29</title><link>https://news.ycombinator.com/item?id=47134603</link><guid isPermaLink="false">urn:hackerpapers:mention:2407.10829:47134603</guid><pubDate>Tue, 24 Feb 2026 08:52:05 GMT</pubDate><description>&lt;p&gt;In case you&amp;#x27;re looking for the opposite, not an AI &amp;quot;kill switch&amp;quot;, but a propaganda kill switch using AI to fight disinformatiom, try BiasScanner: BiasScanner - Firefox Plug-In https://addons.mozilla.org/en-CA/firefox/addon/bias-scanner/ Paper: https://arxiv.org/abs/2407.10829&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2407.10829/"&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>BiasScanner: Automatic Detection and Classification of News Bias to Strengthen Democracy — mentioned by jll29</title><link>https://news.ycombinator.com/item?id=42184809</link><guid isPermaLink="false">urn:hackerpapers:mention:2407.10829:42184809</guid><pubDate>Tue, 19 Nov 2024 15:51:31 GMT</pubDate><description>&lt;p&gt;BiasScanner is a new machine learning model (based on a fine-tuned LLM) and associated Firefox plug-in that analyzes the news you are reading and can warn you from propaganda and other types of media bias. Paste in a news story and click &amp;quot;Detect Bias!&amp;quot;; then hover over the sentence marked yellow with the mouse to see that it also generates human explanations for each of its classification decisions. Demo: https://biasscanner.org Open Access Paper: https://arxiv.org/abs/2407.10829&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2407.10829/"&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>
