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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 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 Birds of a Feather Flock Together: Network-Based Detection of Coordinated Disinformation Campaigns on Telegram Tsagkarakis et al. · SECRYPT · Bots & coordinated campaigns, Spread & networks2026 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 A Multi-Branch Feature Fusion Approach for Health Misinformation Detection and Propagation Sikosana et al. · IEEE Access · Detection methods, Psychology & interventions2026 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 methods2026 Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection Wang et al. · World Wide Web Conference · LLMs & generative AI, Detection methods2026 Beyond Speculation: Measuring the Growing Presence of LLM-Generated Texts in Multilingual Disinformation Macko et al. · IEEE Computer · LLMs & generative AI, Datasets & evaluation2026 Industrialized Deception: The Collateral Effects of LLM-Generated Misinformation on Digital Ecosystems Loth et al. · ACM Web Conference 2026 · LLMs & generative AI, Detection methods2026 Agentic Mixed-Source Multi-Modal Misinformation Detection with Adaptive Test-Time Scaling Jiang et al. · ACM Conference · Deepfakes & multimodal, Detection methods2026 Spectral Analysis of Fake News Propagation Cai & Zafarani · SIAM · Spread & networks, Detection methods2025 Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection Wang et al. · CIKM · Detection methods, LLMs & generative AI2025 A Guide to Misinformation Detection Data and Evaluation Thibault et al. · KDD '25 — 31st ACM SIGKDD Conference on… · Datasets & evaluation, Detection methods2025 E-FreeM2: Efficient Training-Free Multi-Scale and Cross-Modal News Verification via MLLMs Phan et al. · SCID '25 · LLMs & generative AI, Detection methods2025 Propasafe: A BERT-based offline tool for propaganda detection Sharma et al. · ACM Web Conference 2025 · Detection methods, LLMs & generative AI