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Creators/Authors contains: "Thebault-Spieker, Jacob"

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  1. ; ; ; (, Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency)
    Full Text Available 
  2. ; ; ; (, ACM Transactions on Social Computing)
    null (Ed.)
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  3. ; ; ; ; ; (, Proceedings of the ACM on Human-Computer Interaction)
    Full Text Available 
  4. ; ; ; ; (, AAAI HCOMP 2019 Poster)
    null (Ed.)
    Misinformation poses a threat to public health, safety, and democracy. Training novices to debunk visual misinformation with image verification techniques has shown promise, yet little is known about how novices do so in the wild, and what methods prove effective. Thus, we studied 225 verification challenges posted by experts on Twitter over one year with the aim of improving novices’ skills. We collected, annotated, and analyzed these challenges and over 3,100 replies by 304 unique participants. We find that novices employ multiple tools and approaches, and techniques like collaboration and reverse image search significantly improve performance. 
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    Accepted Manuscript Full Text Available