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Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations., , , , , and . ICWSM, page 22-31. AAAI Press, (2017)The World of Connections and Information Flow in Twitter., , , and . IEEE Trans. Syst. Man Cybern. Part A, 42 (4): 991-998 (2012)Equal but different: a contextual analysis of duplicated videos on YouTube., , , , and . J. Braz. Comput. Soc., 16 (3): 201-214 (2010)Factual or Biased? Predicting Sentence-Level Factuality and Bias of News., , , and . CoRR, (2023)An empirical study of socialbot infiltration strategies in the Twitter social network., , , and . Soc. Netw. Anal. Min., 6 (1): 23:1-23:16 (2016)The Emergence of Crowdsourcing among Pokémon Go Players., , , and . CoRR, (2017)The role of research leaders on the evolution of scientific communities., , and . WWW (Companion Volume), page 649-656. International World Wide Web Conferences Steering Committee / ACM, (2013)Neutrality may matter: sentiment analysis in reviews of Airbnb, Booking, and Couchsurfing in Brazil and USA., , , and . Soc. Netw. Anal. Min., 10 (1): 45 (2020)Anonymity Effects: A Large-Scale Dataset from an Anonymous Social Media Platform., , and . HT, page 69-74. ACM, (2020)Detecção Automática de Desinformação Relacionada à Covid-19 no Brasil., , , , , , and . SBBD, page 164-176. SBC, (2022)