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GUIDEUnderstanding fake news, misinformation & disinformation

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2026 Detector-Guided Vocoder Training for Adversarial Text-to-Speech Synthesis Cui et al. · arXiv · Deepfakes & multimodal, LLMs & generative AI2026 Statistical Detectability of Coordination Iannucci et al. · arXiv · Bots & coordinated campaigns, Datasets & evaluation2026 Birds of a Feather Flock Together: Network-Based Detection of Coordinated Disinformation Campaigns on Telegram Tsagkarakis et al. · SECRYPT · Bots & coordinated campaigns, Spread & networks2026 Setting the clock: Evaluating temporal window parameters for coordinated behavior detection Panayiotou et al. · AIDEM Workshop, ECML-PKDD 2026 · Bots & coordinated campaigns, Datasets & evaluation2026 Control-Theoretic Content Moderation Tessa et al. · arXiv · Platforms, policy & society, Spread & networks2026 Social bots weaken activist cohesion Li et al. · arXiv · Bots & coordinated campaigns, Spread & networks2024 Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data Marchal et al. · arXiv · LLMs & generative AI, Platforms, policy & society2023 Universal and Transferable Adversarial Attacks on Aligned Language Models Zou et al. · arXiv · LLMs & generative AI, Platforms, policy & society2023 Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations Goldstein et al. · arXiv · LLMs & generative AI, Platforms, policy & society2023 DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature Mitchell et al. · 40th International Conference on Machine… · LLMs & generative AI, Detection methods2022 Botometer 101: Social bot practicum for computational social scientists Yang et al. · arXiv · Bots & coordinated campaigns, Datasets & evaluation2022 Red Teaming Language Models with Language Models Perez et al. · arXiv · LLMs & generative AI, Bots & coordinated campaigns2021 The Threat of Offensive AI to Organizations Mirsky et al. · ACM Computing Surveys · Platforms, policy & society, Bots & coordinated campaigns2020 On the Detection of Disinformation Campaign Activity with Network Analysis Vargas et al. · Cloud Computing Security Workshop · Spread & networks, Bots & coordinated campaigns2020 Uncovering Coordinated Networks on Social Media: Methods and Case Studies Pacheco et al. · ICWSM · Bots & coordinated campaigns, Spread & networks2020 Detection of Novel Social Bots by Ensembles of Specialized Classifiers Sayyadiharikandeh et al. · arXiv · Bots & coordinated campaigns, Detection methods2020 Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset Memon & Carley · arXiv · Datasets & evaluation, Spread & networks2020 A Decade of Social Bot Detection Cresci · Communications of the ACM · Bots & coordinated campaigns, Datasets & evaluation2020 Troll Factories: Manufacturing Specialized Disinformation on Twitter Linvill & Warren · Political Communication · Bots & coordinated campaigns, Platforms, policy & society2020 Cross-Platform State Propaganda: Russian Trolls on Twitter and YouTube during the 2016 U.S. Presidential Election Golovchenko et al. · The International Journal of Press/Politics · Bots & coordinated campaigns, Platforms, policy & society2020 It takes a village to manipulate the media: coordinated link sharing behavior during 2018 and 2019 Italian elections Giglietto et al. · Information, Communication & Society · Bots & coordinated campaigns, Spread & networks2020 Assessing the Russian Internet Research Agency's impact on the political attitudes and behaviors of American Twitter users in late 2017 Bail et al. · National Academy of Sciences · Bots & coordinated campaigns, Platforms, policy & society2019 Auditing Radicalization Pathways on YouTube Horta Ribeiro et al. · ACM 2020 Conference on Fairness,… · Spread & networks, Platforms, policy & society2019 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