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Show HN: Jabble – Collaborative Fact-Checking with Fallacy Detection

1 pointsby manx9 months ago
Hello HN,<p>we are three researchers (Felix, Jonathan, Johannes) and over the past years, we&#x27;ve been doing research on polarization and misinformation. An earlier project from us is Quality News (<a href="https:&#x2F;&#x2F;news.social-protocols.org&#x2F;" rel="nofollow">https:&#x2F;&#x2F;news.social-protocols.org&#x2F;</a>). This is our first prototype for a platform for collaborative fact-checking.<p>What we have so far:<p>- automated detection for rhetorical fallacies in posts. This is done using gpt-4o-mini. We might release that as a library. Let us know if you&#x27;re interested.<p>On the roadmap:<p>- calculate fact check results taking all the votes and comments in a thread into account<p>- comment ranking by measuring how mind-changing a comment is. We&#x27;ll decide this by analyzing voting patterns using bayesian statistics.<p>- game theoretical reputation system with incentives for honesty - bias correction for votes with matrix factorization (similar to Community Notes)<p>- crowdfunding of fact checks (money distributed to contributors based on the effectiveness of their comments and votes)<p>We&#x27;re aware that the true&#x2F;false vote buttons are not ideal for all the content people will post. But we think it&#x27;s a start. If you have ideas in this direction, please let us know.<p>We appreciate any feedback!

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