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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