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2026 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 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 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 AI2024 RAIDAR: Generative AI Detection via Rewriting Mao et al. · ICLR · LLMs & generative AI, Detection methods2024 Can LLM-Generated Misinformation Be Detected? Chen & Shu · ICLR 2024 · LLMs & generative AI, Detection methods2023 A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Dai et al. · ACM Computing Surveys · LLMs & generative AI, Detection methods2023 The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention Ayoobi et al. · 3rd ACM Conference on Hypertext and Social Media · LLMs & generative AI, Datasets & evaluation2023 DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature Mitchell et al. · 40th International Conference on Machine… · LLMs & generative AI, Detection methods2022 "This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders Zhou et al. · ACM Web Conference 2022 · Spread & networks, Detection methods2022 All the News That's Fit to Fabricate: AI-Generated Text as a Tool of Media Misinformation Kreps et al. · Journal of Experimental Political Science · LLMs & generative AI, Detection methods2022 A Comprehensive Survey on Trustworthy Recommender Systems Fan et al. · ACM Computing Surveys · Platforms, policy & society, Detection methods2022 Deepfake Detection: A Systematic Literature Review Rana et al. · IEEE Access · Deepfakes & multimodal, Datasets & evaluation2021 Shifting attention to accuracy can reduce misinformation online Pennycook et al. · Nature · Psychology & interventions, Platforms, policy & society2021 Multimodal Emergent Fake News Detection via Meta Neural Process Networks Wang et al. · ACM SIGKDD Conference on Knowledge Discovery… · Deepfakes & multimodal, Detection methods