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An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes, , , , , , , , , and . Fifteenth ACM Conference on Recommender Systems, page 1-11. ACM, (September 2021)Best paper award.An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes., , , , , , , , , and . CoRR, (2022)A Study of Fake News Reading and Annotating in Social Media Context., , , , and . CoRR, (2021)Is it indeed bigger better? The comprehensive study of claim detection LMs applied for disinformation tackling., , , , and . CoRR, (2023)Analysis of User Behavior in Interfaces with Recommended Items: An Eye-tracking Study., , , and . IntRS@RecSys, volume 2225 of CEUR Workshop Proceedings, page 32-36. CEUR-WS.org, (2018)Games with a Purpose: User Generated Valid Metadata for Personal Archives., and . SMAP, page 45-50. IEEE Computer Society, (2011)Towards Automated Web Navigation and Search Skill Assessment: An Eye-tracking Study on the Skill Differences., , , and . SMAP, page 49-54. IEEE, (2018)Validation of music metadata via game with a purpose., , and . I-SEMANTICS, page 177-180. ACM, (2012)Screen recording segmentation to scenes for eye-tracking analysis., and . Multimedia Tools Appl., 78 (2): 2401-2425 (2019)Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles., , , , , , , , , and 1 other author(s). Trans. Recomm. Syst., 1 (1): 1-33 (March 2023)