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GUIDEUnderstanding fake news, misinformation & disinformation

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2021 Shared partisanship dramatically increases social tie formation in a Twitter field experiment Mosleh et al. · National Academy of Sciences · Spread & networks, Psychology & interventions2021 Cognitive reflection correlates with behavior on Twitter Mosleh et al. · Nature Communications · Psychology & interventions, Spread & networks2021 Does Media Literacy Help Identification of Fake News? Information Literacy Helps, but Other Literacies Don't Jones-Jang et al. · American Behavioral Scientist · Psychology & interventions, Platforms, policy & society2021 Examining the consumption of radical content on YouTube Hosseinmardi et al. · PNAS · Spread & networks, Platforms, policy & society2021 The echo chamber effect on social media Cinelli et al. · National Academy of Sciences · Spread & networks, Platforms, policy & society2020 Media Forensics and DeepFakes: an overview Verdoliva · arXiv · 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 A first look at COVID-19 information and misinformation sharing on Twitter Singh et al. · arXiv · Spread & networks, Platforms, policy & society2020 The Limitations of Stylometry for Detecting Machine-Generated Fake News Schuster et al. · Computational Linguistics · Detection methods, LLMs & generative AI2020 Uncovering Coordinated Networks on Social Media: Methods and Case Studies Pacheco et al. · ICWSM · Bots & coordinated campaigns, Spread & networks2020 Exposure to untrustworthy websites in the 2016 US election Guess et al. · Nature Human Behaviour · Spread & networks, Platforms, policy & society2020 Assessing the risks of 'infodemics' in response to COVID-19 epidemics Gallotti et al. · Nature Human Behaviour · Spread & networks, Platforms, policy & society2020 Types, Sources, and Claims of COVID-19 Misinformation Brennen et al. · Reuters Institute for the Study of… · Fact-checking & verification, Platforms, policy & society2020 Generating Fact Checking Explanations Atanasova et al. · arXiv · Detection methods, Fact-checking & verification2020 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 A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration Banda et al. · arXiv · Datasets & evaluation, Spread & networks2020 Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News Tan et al. · arXiv · Deepfakes & multimodal, 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 Inoculating Against Fake News About COVID-19 van der Linden et al. · Frontiers in Psychology · Psychology & interventions, Platforms, policy & society2020 DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection Tolosana et al. · arXiv · Deepfakes & multimodal, Detection methods2020 Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements Shu et al. · Book chapter · Detection methods, Spread & networks