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    <title>Projects on Giovanni Luca Ciampaglia</title>
    <link>https://glciampaglia.com/project/</link>
    <description>Recent content in Projects on Giovanni Luca Ciampaglia</description>
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    <copyright>&amp;copy; 2025 Giovanni Luca Ciampaglia</copyright>
    <lastBuildDate>Tue, 13 Sep 2016 17:38:40 -0400</lastBuildDate>
    
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      <title>Computational Fact-checking</title>
      <link>https://glciampaglia.com/project/computational-fact-checking/</link>
      <pubDate>Tue, 13 Sep 2016 17:38:40 -0400</pubDate>
      
      <guid>https://glciampaglia.com/project/computational-fact-checking/</guid>
      <description>Description Traditional fact checking by expert journalists cannot keep up with the enormous volume of information that is now generated online. Computational fact checking may significantly enhance our ability to evaluate the veracity of dubious information. We have shown that the complexities of human fact checking can be approximated quite well by finding the shortest path between concept nodes under properly defined semantic proximity metrics on knowledge graphs.
In follow-up work, we have extended this approach along two avenues.</description>
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      <title>Hoaxy</title>
      <link>https://glciampaglia.com/project/hoaxy/</link>
      <pubDate>Tue, 13 Sep 2016 17:37:04 -0400</pubDate>
      
      <guid>https://glciampaglia.com/project/hoaxy/</guid>
      <description>Official Project Site hoaxy.iuni.iu.edu .
Description Most American adults access the news through social media1. Massive amounts of low-credibility content have spread over social media before and after the 2016 US Presidential Elections despite intense fact-checking efforts. How do the spread of misinformation and fact-checking compete? What is the impact of social bots in the spread of low-credibility content? To explore these questions we built Hoaxy, a tool that visualizes the spread and competition of digital misinformation and fact-checking on Twitter.</description>
    </item>
    
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      <title>Collective Deliberation on Wikipedia</title>
      <link>https://glciampaglia.com/project/notabilia/</link>
      <pubDate>Tue, 13 Sep 2016 17:28:21 -0400</pubDate>
      
      <guid>https://glciampaglia.com/project/notabilia/</guid>
      <description>Official Project Page notabilia.net 
Description Every day thousands of new entries are added to Wikipedia. While many contain useful information, a large fraction is about content that does not meet Wikipedia&amp;rsquo;s inclusion standards. Examples include spam, copyrighted content, and vandalism. However, since the encyclopedia tries to cover the sum of all human knowledge, often it is hard to decide whether the content at hand should be deleted or not.</description>
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