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GUIDEUnderstanding fake news, misinformation & disinformation

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2023 A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Cao et al. · J. ACM, Vol. 37, No. 4 · LLMs & generative AI, Deepfakes & multimodal2022 Deepfake Detection: A Systematic Literature Review Rana et al. · IEEE Access · Deepfakes & multimodal, Datasets & evaluation2021 Multimodal Emergent Fake News Detection via Meta Neural Process Networks Wang et al. · ACM SIGKDD Conference on Knowledge Discovery… · Deepfakes & multimodal, Detection methods2021 On the Opportunities and Risks of Foundation Models Bommasani et al. · arXiv · LLMs & generative AI, Deepfakes & multimodal2021 A Survey on Multimodal Disinformation Detection Alam et al. · arXiv · Deepfakes & multimodal, Detection methods2021 Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multimodal Data Silva et al. · AAAI 2021 · Detection methods, Deepfakes & multimodal2020 Media Forensics and DeepFakes: an overview Verdoliva · arXiv · Detection methods, Deepfakes & multimodal2020 Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News Tan et al. · arXiv · Deepfakes & multimodal, Detection methods2020 DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection Tolosana et al. · arXiv · Deepfakes & multimodal, Detection methods2020 The Creation and Detection of Deepfakes: A Survey Mirsky & Lee · ACM Computing Surveys · Deepfakes & multimodal, Detection methods2020 A Multi-Modal Method for Satire Detection using Textual and Visual Cues Li et al. · arXiv · Deepfakes & multimodal, Detection methods2020 MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation Li et al. · arXiv · Datasets & evaluation, Detection methods2020 TweepFake: about detecting deepfake tweets Fagni et al. · arXiv · Deepfakes & multimodal, Datasets & evaluation2020 The DeepFake Detection Challenge (DFDC) Dataset Dolhansky et al. · CVPR 2020 · Deepfakes & multimodal, Datasets & evaluation2020 A Picture Paints a Thousand Lies? The Effects and Mechanisms of Multimodal Disinformation and Rebuttals Disseminated via Social Media Hameleers et al. · Political Communication · Deepfakes & multimodal, Fact-checking & verification2020 Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News Vaccari & Chadwick · Social Media + Society · Deepfakes & multimodal, Platforms, policy & society2020 SAFE: Similarity-Aware Multi-Modal Fake News Detection Zhou et al. · arXiv · Deepfakes & multimodal, Detection methods2020 ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research Zhou et al. · CIKM '20 · Datasets & evaluation, Deepfakes & multimodal2019 The Emergence of Deepfake Technology: A Review Westerlund · Technology Innovation Management Review · Deepfakes & multimodal, Detection methods2019 Deep Learning for Deepfakes Creation and Detection: A Survey Nguyen et al. · arXiv · Deepfakes & multimodal, Detection methods2019 Characterizing the Use of Images in State-Sponsored Information Warfare Operations by Russian Trolls on Twitter Zannettou et al. · AAAI Conference on Web and Social Media · Bots & coordinated campaigns, Deepfakes & multimodal2019 Recurrent Convolutional Strategies for Face Manipulation Detection in Videos Sabir et al. · arXiv · Deepfakes & multimodal, Detection methods2019 FaceForensics++: Learning to Detect Manipulated Facial Images Rössler et al. · arXiv · Deepfakes & multimodal, Detection methods2019 r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection Nakamura et al. · arXiv · Datasets & evaluation, Deepfakes & multimodal