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GUIDEUnderstanding fake news, misinformation & disinformation

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2026 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 ReplayFactor: Replay-Aware Dual-Attribute Learning for Practical Speech Deepfake Detection He et al. · arXiv · Deepfakes & multimodal, Detection methods2026 The uneven rise of AI-generated web content Visokay et al. · arXiv · LLMs & generative AI, Datasets & evaluation2026 Statistical Detectability of Coordination Iannucci et al. · arXiv · Bots & coordinated campaigns, Datasets & evaluation2026 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 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 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 & 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 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 VEX-Bench: Benchmarking Verification Complexity of LLM-Generated Misinformation Huang et al. · NeurIPS 2026, Track on Evaluations and Datasets · LLMs & generative AI, Fact-checking & verification2026 Setting the clock: Evaluating temporal window parameters for coordinated behavior detection Panayiotou et al. · AIDEM Workshop, ECML-PKDD 2026 · Bots & coordinated campaigns, Datasets & evaluation2026 VietPrism: A Large-Scale Vietnamese Speech and Deepfake Corpus with Diverse Dialects and Code-Switching Hoang & Le · arXiv · Deepfakes & multimodal, Datasets & evaluation2026 Counter-GEO-Bench: Evaluating Defenses Against Information-Distorting Generative Engine Optimization Zheng et al. · arXiv · LLMs & generative AI, Datasets & evaluation2026 CoVer: Conflict-Aware Claim Verification Zhang et al. · arXiv · Fact-checking & verification, Datasets & evaluation2026 MMMMM: A Unified Taxonomy for Investigating the Mechanisms of Multilingual MultiModal Misinformation Borenstein et al. · arXiv · Deepfakes & multimodal, Datasets & evaluation2026 Calibrating Small Language Models for Claim Check-Worthiness Detection Amatya et al. · arXiv · LLMs & generative AI, Fact-checking & verification2026 Build it, Break it, Repeat: Benchmarking and improving LLM-manipulated disinformation detection in social media posts Thomas et al. · arXiv · LLMs & generative AI, Detection methods2026 Network Information Enhances Unreliable News Domain Detection Kefler et al. · arXiv · Spread & networks, Detection methods2026 From Manipulation to Mistrust: Explaining Diverse Micro-Video Misinformation for Robust Debunking in the Wild Zeng et al. · ACM International Conference · Datasets & evaluation, Deepfakes & multimodal2026 Seeing Through Deception: Uncovering Misleading Creator Intent in Multimodal News with Vision-Language Models Wu et al. · ICLR 2026 · Deepfakes & multimodal, Detection methods