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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 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 Where Does Rhetorical Distortion Live? A Multi-Platform, Multi-Language Measurement of Influencer Content Yu et al. · arXiv · Spread & networks, Detection methods2026 Propasafe-Hybrid: A Text-Based Hybrid Propaganda Detection Tool Kimmeth et al. · arXiv · Detection methods, LLMs & generative AI2026 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 A Large Language Model (LLM) Approach to COVID-19 Fake News Detection Arif et al. · arXiv · LLMs & generative AI, Detection methods2026 Lazy Grounding: Attacking Search Agents with Factual Evidence Zhang et al. · arXiv · Detection methods, LLMs & generative AI2026 A Multi-Branch Feature Fusion Approach for Health Misinformation Detection and Propagation Sikosana et al. · IEEE Access · Detection methods, Psychology & interventions2026 Swin Meets EfficientNet: Lightweight Architectures for GAN-Based Face Forensics Basu et al. · arXiv · Deepfakes & multimodal, Detection methods2026 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 methods2026 Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection Wang et al. · World Wide Web Conference · LLMs & generative AI, Detection methods2026 MALicious INTent Dataset and Inoculating LLMs for Enhanced Disinformation Detection Modzelewski et al. · arXiv · Datasets & evaluation, LLMs & generative AI2026 Industrialized Deception: The Collateral Effects of LLM-Generated Misinformation on Digital Ecosystems Loth et al. · ACM Web Conference 2026 · LLMs & generative AI, Detection methods2026 What's Left Unsaid? Detecting and Correcting Misleading Omissions in Multimodal News Previews Li et al. · arXiv · Detection methods, Deepfakes & multimodal2026 Agentic Mixed-Source Multi-Modal Misinformation Detection with Adaptive Test-Time Scaling Jiang et al. · ACM Conference · Deepfakes & multimodal, Detection methods