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GUIDEUnderstanding fake news, misinformation & disinformation

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2027 Fear Doesn't Go Viral, It Lingers: Spread, Affect, and Discourse of Food-Fear Content on TikTok Shin et al. · The Web Conference · Spread & networks, Platforms, policy & society2026 Fake News Theories: Harnessing Disciplinary Insights for Computational Modeling, Detection, and Explanation Cao et al. · arXiv · Detection methods, Platforms, policy & society2026 When Imperfect Automated Fact-Checking Backfires: Social Learning in the Presence of Misinformation Liu & Cao · arXiv · Fact-checking & verification, Platforms, policy & society2026 Algorithmic Intervention Decreases Polarization in Content Moderation Bertani et al. · arXiv · Platforms, policy & society, Spread & networks2026 The uneven rise of AI-generated web content Visokay et al. · arXiv · LLMs & generative AI, Datasets & evaluation2026 New Election, Same Old Story: How Tropes Form a Grammar of Election Rumors Prochaska et al. · arXiv · Spread & networks, Platforms, policy & society2026 Propasafe-Hybrid: A Text-Based Hybrid Propaganda Detection Tool Kimmeth et al. · arXiv · Detection methods, LLMs & generative AI2026 Statistical Detectability of Coordination Iannucci et al. · arXiv · Bots & coordinated campaigns, Datasets & evaluation2026 From Leniency to Suspicion: How an Open Post-Training Recipe Changes Whom LLM Fact-Checkers Believe AlDahoul & Zaki · arXiv · LLMs & generative AI, Platforms, policy & society2026 Fact-check? True!: Tracking Verification Requests and the Absence of Truth Verdicts across Correction Systems Wack & Warren · arXiv · Fact-checking & verification, Platforms, policy & society2026 Harm Is Behavioural, Moderation Is Lexical: How Language and Culture Decide Whom Automated Safety Systems Protect and Whom They Silence Sabadin et al. · arXiv · Platforms, policy & society, Datasets & evaluation2026 Benchmarking System One Models in Online Moderation Mazzoni & Failla · arXiv · Platforms, policy & society, Detection methods2026 When Platforms Pay Users to Correct Misinformation: Revenue Incentives and Governance Capacity in Weibo Annotations Lin et al. · arXiv · Platforms, policy & society, Datasets & evaluation2026 Friends as Sensors: High-Sensitivity Monitoring of Misinformation and Platform Dynamics via the Friendship Paradox Angermaier et al. · arXiv · Spread & networks, Datasets & evaluation2026 Conspiracy and Environment Communities on Reddit Sort Along Different Demographic Axes Sánchez-Cortés et al. · arXiv · Spread & networks, Psychology & interventions2026 Drowning in AI Slop: How Social Media Platforms (Do Not) Label AI and Deepfake Content under EU law Rijsbosch et al. · arXiv · Platforms, policy & society, Deepfakes & multimodal2026 Setting the clock: Evaluating temporal window parameters for coordinated behavior detection Panayiotou et al. · AIDEM Workshop, ECML-PKDD 2026 · Bots & coordinated campaigns, Datasets & evaluation2026 Why Does Misinformation Propagate Faster? An Algorithmic Perspective on X Li & Gao · arXiv · Spread & networks, Platforms, policy & society2026 SoK: Formal Methods for Fact-Checking and Information Integrity Kekatos et al. · arXiv · Fact-checking & verification, LLMs & generative AI2026 Strategic Opinion Manipulation in Multiplex Networks Ebrahimi & Franceschetti · arXiv · Spread & networks, Platforms, policy & society2026 Two Fault Lines: Latent Polarity Geometry in X Community Notes Andreou & Sirivianos · arXiv · Spread & networks, Platforms, policy & society2026 Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records Tiltack et al. · arXiv · LLMs & generative AI, Platforms, policy & society2026 Control-Theoretic Content Moderation Tessa et al. · arXiv · Platforms, policy & society, Spread & networks2026 A Multi-Stage Agentic Framework for Effective Counter-Narrative Generation and Refinement Kronfeld et al. · arXiv · LLMs & generative AI, Platforms, policy & society