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GUIDEUnderstanding fake news, misinformation & disinformation

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2021 A Heuristic-driven Uncertainty based Ensemble Framework for Fake News Detection in Tweets and News Articles Das et al. · arXiv · Detection methods, LLMs & generative AI2021 On the Opportunities and Risks of Foundation Models Bommasani et al. · arXiv · LLMs & generative AI, Deepfakes & multimodal2021 A General Language Assistant as a Laboratory for Alignment Askell et al. · arXiv · LLMs & generative AI2021 Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection Vo & Lee · arXiv · Detection methods, LLMs & generative AI2021 MDFEND: Multi-domain Fake News Detection Nan et al. · CIKM '21: The 30th ACM International… · Detection methods, Datasets & evaluation2021 The Threat of Offensive AI to Organizations Mirsky et al. · ACM Computing Surveys · Platforms, policy & society, Bots & coordinated campaigns2021 DEAP-FAKED: Knowledge Graph based Approach for Fake News Detection Mayank et al. · IEEE/ACM International Conference on Advances… · Detection methods, Datasets & evaluation2021 TruthfulQA: Measuring How Models Mimic Human Falsehoods Lin et al. · arXiv · LLMs & generative AI, Datasets & evaluation2021 FakeBERT: Fake News Detection in Social Media with a BERT-based Deep Learning Approach Kaliyar et al. · Multimedia Tools and Applications · Detection methods, LLMs & generative AI2021 Towards Fine-Grained Reasoning for Fake News Detection Jin et al. · ACL · Detection methods, LLMs & generative AI2021 A Survey on Stance Detection for Mis- and Disinformation Identification Hardalov et al. · arXiv · Fact-checking & verification, Datasets & evaluation2021 Truthful AI: Developing and Governing AI That Does Not Lie Evans et al. · arXiv · LLMs & generative AI, Platforms, policy & society2021 KAN: Knowledge-aware Attention Network for Fake News Detection Dun et al. · AAAI 2021 · Detection methods, LLMs & generative AI2021 Cross-lingual COVID-19 Fake News Detection Du et al. · arXiv · Detection methods, Datasets & evaluation2021 User Preference-aware Fake News Detection Dou et al. · SIGIR 2021 · Detection methods, Spread & networks2021 All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text Clark et al. · arXiv · LLMs & generative AI, Datasets & evaluation2020 The Limitations of Stylometry for Detecting Machine-Generated Fake News Schuster et al. · Computational Linguistics · Detection methods, LLMs & generative AI2020 TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP Morris et al. · arXiv · LLMs & generative AI, Detection methods2020 A Survey of the State of Explainable AI for Natural Language Processing Danilevsky et al. · arXiv · LLMs & generative AI, Detection methods2020 Misinformation Has High Perplexity Lee et al. · arXiv · Detection methods, LLMs & generative AI2020 Language Models are Few-Shot Learners Brown et al. · NeurIPS 2020 · LLMs & generative AI, Platforms, policy & society2020 Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News Vo & Lee · arXiv · Fact-checking & verification, Detection methods2020 Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements Shu et al. · Book chapter · Detection methods, Spread & networks2020 The Creation and Detection of Deepfakes: A Survey Mirsky & Lee · ACM Computing Surveys · Deepfakes & multimodal, Detection methods