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2019 Auditing Radicalization Pathways on YouTube Horta Ribeiro et al. · ACM 2020 Conference on Fairness,… · Spread & networks, Platforms, policy & society 2019 Characterizing the Use of Images in State-Sponsored Information Warfare Operations by Russian Trolls on Twitter Zannettou et al. · AAAI Conference on Web and Social Media · Bots & coordinated campaigns, Deepfakes & multimodal 2019 Scalable and Generalizable Social Bot Detection through Data Selection Yang et al. · arXiv · Bots & coordinated campaigns, Datasets & evaluation 2019 Arming the public with artificial intelligence to counter social bots Yang et al. · arXiv · Bots & coordinated campaigns, Datasets & evaluation 2019 Better Safe Than Sorry: an Adversarial Approach to improve Social Bot Detection Cresci et al. · ACM Web Science Conference · Bots & coordinated campaigns, Detection methods 2019 Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection Adelani et al. · arXiv · LLMs & generative AI, Detection methods 2019 A Study of Misinformation in WhatsApp groups with a focus on the Brazilian Presidential Elections Machado et al. · The Web Conference · Spread & networks, Bots & coordinated campaigns 2019 Coordinating a Multi-Platform Disinformation Campaign: Internet Research Agency Activity on Three U.S. Social Media Platforms, 2015 to 2017 Lukito · Political Communication · Bots & coordinated campaigns, Platforms, policy & society 2018 Who Let The Trolls Out? Towards Understanding State-Sponsored Trolls Zannettou et al. · arXiv · Bots & coordinated campaigns, Spread & networks 2018 On the Origins of Memes by Means of Fringe Web Communities Zannettou et al. · IMC 2018 · Spread & networks, Bots & coordinated campaigns 2018 Disinformation Warfare: Understanding State-Sponsored Trolls on Twitter and Their Influence on the Web Zannettou et al. · arXiv · Bots & coordinated campaigns, Platforms, policy & society 2018 Anatomy of an online misinformation network Shao et al. · arXiv · Spread & networks, Bots & coordinated campaigns 2018 Bots increase exposure to negative and inflammatory content in online social systems Stella et al. · National Academy of Sciences · Bots & coordinated campaigns, Spread & networks 2018 Influencers in Polarized Political Networks on Twitter Soares et al. · SMSociety · Spread & networks, Bots & coordinated campaigns 2017 The Paradigm-Shift of Social Spambots: Evidence, Theories, and Tools for the Arms Race Cresci et al. · WWW 2017 Companion · Bots & coordinated campaigns, Detection methods 2017 Online Human-Bot Interactions: Detection, Estimation, and Characterization Varol et al. · arXiv · Bots & coordinated campaigns, Datasets & evaluation 2017 The spread of low-credibility content by social bots Shao et al. · arXiv · Spread & networks, Bots & coordinated campaigns 2017 Detecting Bots on Russian Political Twitter Stukal et al. · Big Data · Bots & coordinated campaigns, Platforms, policy & society 2017 The Spread of True and False News Online Vosoughi et al. · MIT Initiative on the Digital Economy… · Spread & networks, Bots & coordinated campaigns 2016 BotOrNot: A System to Evaluate Social Bots Davis et al. · 25th International Conference Companion on… · Bots & coordinated campaigns, Datasets & evaluation 2016 DNA-Inspired Online Behavioral Modeling and Its Application to Spambot Detection Cresci et al. · IEEE Intelligent Systems · Bots & coordinated campaigns, Detection methods 2015 The Rise of Social Bots Ferrara et al. · ACM Transactions on the Web · Bots & coordinated campaigns, Detection methods 2010 Detecting and Tracking the Spread of Astroturf Memes in Microblog Streams Ratkiewicz et al. · arXiv · Spread & networks, Bots & coordinated campaigns