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GUIDEUnderstanding fake news, misinformation & disinformation

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2022 Atlas: Few-shot Learning with Retrieval Augmented Language Models Izacard et al. · arXiv · LLMs & generative AI, Fact-checking & verification2022 Botometer 101: Social bot practicum for computational social scientists Yang et al. · arXiv · Bots & coordinated campaigns, Datasets & evaluation2022 Discovering Language Model Behaviors with Model-Written Evaluations Perez et al. · LLMs & generative AI, Datasets & evaluation2022 Deepfake Detection: A Systematic Literature Review Rana et al. · IEEE Access · Deepfakes & multimodal, Datasets & evaluation2022 NELA-GT-2022: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles Gruppi et al. · arXiv · Datasets & evaluation, Detection methods2022 Real or Fake Text?: Investigating Human Ability to Detect Boundaries Between Human-Written and Machine-Generated Text Dugan et al. · arXiv · LLMs & generative AI, Detection methods2021 Prevalence of Health Misinformation on Social Media: Systematic Review Suarez-Lledo & Alvarez-Galvez · Journal of Medical Internet Research · Spread & networks, Datasets & evaluation2021 Assessing the Quality of the Datasets by Identifying Mislabeled Samples Pulastya et al. · arXiv · Datasets & evaluation, Detection methods2021 Misinformation Detection on YouTube Using Video Captions Jagtap et al. · arXiv · Detection methods, Datasets & evaluation2021 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 A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances Zhou et al. · ACM Computing Surveys · Spread & networks, Datasets & evaluation2021 MDFEND: Multi-domain Fake News Detection Nan et al. · CIKM '21: The 30th ACM International… · Detection methods, Datasets & evaluation2021 A Survey on Predicting the Factuality and the Bias of News Media Nakov et al. · arXiv · Fact-checking & verification, Datasets & evaluation2021 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 A Survey on Stance Detection for Mis- and Disinformation Identification Hardalov et al. · arXiv · Fact-checking & verification, Datasets & evaluation2021 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 All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text Clark et al. · arXiv · LLMs & generative AI, Datasets & evaluation2021 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 On the Detection of Disinformation Campaign Activity with Network Analysis Vargas et al. · Cloud Computing Security Workshop · Spread & networks, Bots & coordinated campaigns2020 Uncovering Coordinated Networks on Social Media: Methods and Case Studies Pacheco et al. · ICWSM · Bots & coordinated campaigns, Spread & networks