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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2210.15723/</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/2210.15723/feed.xml" rel="self" type="application/rss+xml" /><item><title>Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation — mentioned by nomel</title><link>https://news.ycombinator.com/item?id=42629035</link><guid isPermaLink="false">urn:hackerpapers:mention:2210.15723:42629035</guid><pubDate>Tue, 07 Jan 2025 23:33:36 GMT</pubDate><description>&lt;p&gt;A way to quantify this doesn&amp;#x27;t immediately come to my mind. Maybe reasonable metrics would be: 1. What % misleading/false posts are flagged 2. What % of those flagged are given meaningful context/corrections that are accurate. It seems there&amp;#x27;s circular logic of first determining truth with 1, and then maybe something to do with a &amp;quot;trust&amp;quot;/quality poll with 2. I suspect a good measurement would be very similar to the actual community notes implementation, since both of those are the goal of the system [1]. [1] https://arxiv.org/abs/2210.15723&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2210.15723/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SI</category></item><item><title>Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation — mentioned by nomel</title><link>https://news.ycombinator.com/item?id=42627296</link><guid isPermaLink="false">urn:hackerpapers:mention:2210.15723:42627296</guid><pubDate>Tue, 07 Jan 2025 20:50:02 GMT</pubDate><description>&lt;p&gt;&amp;gt; Community notes are just opinions of random people on internet It&amp;#x27;s much more complicated than that. Here&amp;#x27;s the white paper: https://arxiv.org/abs/2210.15723&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2210.15723/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SI</category></item><item><title>Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation — mentioned by nomel</title><link>https://news.ycombinator.com/item?id=42627284</link><guid isPermaLink="false">urn:hackerpapers:mention:2210.15723:42627284</guid><pubDate>Tue, 07 Jan 2025 20:48:53 GMT</pubDate><description>&lt;p&gt;Here&amp;#x27;s the Community Notes whitepaper [1], for how it all works. Previous discussion [2]. [1] Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation, https://arxiv.org/abs/2210.15723 [2] https://news.ycombinator.com/item?id=33478845&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2210.15723/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SI</category></item><item><title>Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation — mentioned by Gravityloss</title><link>https://news.ycombinator.com/item?id=39264350</link><guid isPermaLink="false">urn:hackerpapers:mention:2210.15723:39264350</guid><pubDate>Mon, 05 Feb 2024 18:01:56 GMT</pubDate><description>&lt;p&gt;Hmm sorry don&amp;#x27;t have anything. I recall hearing about some international research project that was used as input when creating the Twitter community notes but can&amp;#x27;t find it anymore. Interesting graphical tools exist nowadays to navigate the citation web and I guess one could try to backpropagate from this paper by Twitter employees, (Wojcik 2022):: https://arxiv.org/abs/2210.15723 Example navigation tool: https://www.connectedpapers.com/main/f983a4e27b457a502fba322...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2210.15723/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SI</category></item><item><title>Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation — HN submission</title><link>https://news.ycombinator.com/item?id=39119014</link><guid isPermaLink="false">urn:hackerpapers:submission:2210.15723:39119014</guid><pubDate>Wed, 24 Jan 2024 16:08:02 GMT</pubDate><description>&lt;p&gt;Birdwatch: Crowd Wisdom and Algorithms to Understand and Reduce Misinformation&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;41 points; 6 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2210.15723/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.SI</category></item><item><title>Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation — mentioned by webmaven</title><link>https://news.ycombinator.com/item?id=34824137</link><guid isPermaLink="false">urn:hackerpapers:mention:2210.15723:34824137</guid><pubDate>Thu, 16 Feb 2023 19:13:39 GMT</pubDate><description>&lt;p&gt;A list of recent papers by Twitter-affiliated authors would be helpful, but as far as I can tell arxiv.org doesn&amp;#x27;t support that type of search. Here is the mentioned &amp;quot;Birdwatch&amp;quot; paper: https://arxiv.org/abs/2210.15723&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2210.15723/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SI</category></item><item><title>Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation — mentioned by jaybaxter</title><link>https://news.ycombinator.com/item?id=33474196</link><guid isPermaLink="false">urn:hackerpapers:mention:2210.15723:33474196</guid><pubDate>Fri, 04 Nov 2022 21:40:27 GMT</pubDate><description>&lt;p&gt;Hi! Birdwatch ML Engineer here-- these context notes are from Birdwatch. They are written and rated by users, and the notes are only added as context to Tweets if they are rated highly enough by multiple raters who have tended to disagree in the past. The core algorithm is open source as well as all of the data, and there is lots of public documentation about it too: https://twitter.github.io/birdwatch/ https://twitter.com/birdwatch/status/1585794012052611076?s=2... https://arxiv.org/pdf/2210.15723.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2210.15723/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SI</category></item><item><title>Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation — HN submission</title><link>https://news.ycombinator.com/item?id=33412986</link><guid isPermaLink="false">urn:hackerpapers:submission:2210.15723:33412986</guid><pubDate>Mon, 31 Oct 2022 20:57:09 GMT</pubDate><description>&lt;p&gt;Birdwatch: Crowd Wisdom and Bridging Algorithm-Powered Misinfo Annotations&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2210.15723/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.SI</category></item></channel></rss>
