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Examining Video Recommendation Bias on YouTube.

, , , , and . BIAS, volume 1418 of Communications in Computer and Information Science, page 106-116. Springer, (2021)

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Using Diffusion of Innovations Theory to Study Connective Action Campaigns., , , , , and . SBP-BRiMS, volume 12720 of Lecture Notes in Computer Science, page 131-140. Springer, (2021)Measuring the Interference Effect of Bots in Disseminating Opposing Viewpoints Related to COVID-19 on Twitter Using Epidemiological Modeling., , , and . HICSS, page 2296-2305. ScholarSpace, (2023)Developing an Epidemiological Model to Study Spread of Toxicity on YouTube., , , and . SBP-BRiMS, volume 12268 of Lecture Notes in Computer Science, page 266-276. Springer, (2020)Proposing a Broader Scope of Predictive Features for Modeling Refugee Counts., , , and . WWW (Companion Volume), page 154-160. ACM / IW3C2, (2021)Applying an Epidemiological Model to Evaluate the Propagation of Misinformation and Legitimate COVID-19-Related Information on Twitter., , , , and . SBP-BRiMS, volume 12720 of Lecture Notes in Computer Science, page 23-34. Springer, (2021)Assessing Bias in YouTube's Video Recommendation Algorithm in a Cross-lingual and Cross-topical Context., , , , , and . SBP-BRiMS, volume 12720 of Lecture Notes in Computer Science, page 71-80. Springer, (2021)Examining Video Recommendation Bias on YouTube., , , , and . BIAS, volume 1418 of Communications in Computer and Information Science, page 106-116. Springer, (2021)Identifying Toxicity Within YouTube Video Comment., , , and . SBP-BRiMS, volume 11549 of Lecture Notes in Computer Science, page 214-223. Springer, (2019)The Ebb and Flow of the COVID-19 Misinformation Themes., , and . CIKM (Workshops), volume 2699 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Applying an Epidemiological Model to Evaluate the Propagation of Toxicity related to COVID-19 on Twitter., , , , and . HICSS, page 1-10. ScholarSpace, (2022)