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GUIDEUnderstanding fake news, misinformation & disinformation

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2026 Fake News Theories: Harnessing Disciplinary Insights for Computational Modeling, Detection, and Explanation Cao et al. · arXiv · Detection methods, Platforms, policy & society2026 VeriSpoof: Beyond Real or Fake with One Audio LLM Xiao & Dang · Technical Report · Deepfakes & multimodal, Detection methods2026 DeepfakeGenome: Toward Next-Generation Deepfake Attribution Wang et al. · NeurIPS 2026 · Deepfakes & multimodal, Datasets & evaluation2026 UniGADD: Universal Generator-Agnostic Deepfake Detector Tomczyk et al. · arXiv · Deepfakes & multimodal, Detection methods2026 CLRM: Cross-Layer Relation Modeling for Audio Deepfake Detection Qu et al. · arXiv · Deepfakes & multimodal, Detection methods2026 When Imperfect Automated Fact-Checking Backfires: Social Learning in the Presence of Misinformation Liu & Cao · arXiv · Fact-checking & verification, Platforms, policy & society2026 GraphSeal: Graph-Augmented Speech Deepfake Detection via Temporal-Spectral Artifact Propagation Lee et al. · arXiv · Deepfakes & multimodal, Detection methods2026 ReplayFactor: Replay-Aware Dual-Attribute Learning for Practical Speech Deepfake Detection He et al. · arXiv · Deepfakes & multimodal, Detection methods2026 Detector-Guided Vocoder Training for Adversarial Text-to-Speech Synthesis Cui et al. · arXiv · Deepfakes & multimodal, LLMs & generative AI2026 Algorithmic Intervention Decreases Polarization in Content Moderation Bertani et al. · arXiv · Platforms, policy & society, Spread & networks2026 Where Does Rhetorical Distortion Live? A Multi-Platform, Multi-Language Measurement of Influencer Content Yu et al. · arXiv · Spread & networks, Detection methods2026 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 Interpretive Variation and Discourse Structure in Detecting Enthymemes in Controversial Political Discourse Pastor & Oostdijk · arXiv · Detection methods, 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 A misinformation playbook sharpens judgement without breeding cynicism Guo et al. · arXiv · Psychology & interventions, Fact-checking & verification2026 A Large Language Model (LLM) Approach to COVID-19 Fake News Detection Arif et al. · arXiv · LLMs & generative AI, Detection methods2026 Friends as Sensors: High-Sensitivity Monitoring of Misinformation and Platform Dynamics via the Friendship Paradox Angermaier et al. · arXiv · Spread & networks, Datasets & evaluation