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Putting Users in Control of Social Platforms for Better Content Credibility.

. CSCW Companion, page 241-244. ACM, (2022)

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Exploring the Use of Personalized AI for Identifying Misinformation on Social Media., , , , and . CHI, page 105:1-105:27. ACM, (2023)Effects of Past Interactions on User Experience with Recommended Documents, , , and . Proceedings of the 2020 Conference on Human Information Interaction and Retrieval, page 153-162. ACM, (March 2020)A Browser Extension for in-place Signaling and Assessment of Misinformation., and . CHI, page 946:1-946:21. ACM, (2024)Structure or Nurture?, , , , and . Proceedings of the ACM on Human-Computer Interaction, 2 (CSCW): 1--21 (November 2018)https://doi.org/10.1145/3274337.Understanding User Behavior For Document Recommendation., , , , , , and . WWW, page 3012-3018. ACM / IW3C2, (2020)Putting Users in Control of Social Platforms for Better Content Credibility.. CSCW Companion, page 241-244. ACM, (2022)Empowering Users on Social Media for Better Content Credibility. MIT, USA, (2023)Designing Credibility Tools To Combat Mis/Disinformation: A Human-Centered Approach., , , , and . CHI Extended Abstracts, page 107:1-107:4. ACM, (2022)An Experimental Study of Bias in Platform Worker Ratings: The Role of Performance Quality and Gender., , , , and . CHI, page 1-13. ACM, (2020)