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GUIDEUnderstanding fake news, misinformation & disinformation

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2021 Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multimodal Data Silva et al. · AAAI 2021 · Detection methods, Deepfakes & multimodal2021 News literacy, social media behaviors, and skepticism toward information on social media Vraga & Tully · Information, Communication & Society · Psychology & interventions, Spread & networks2021 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 On the Detection of Disinformation Campaign Activity with Network Analysis Vargas et al. · Cloud Computing Security Workshop · Spread & networks, Bots & coordinated campaigns2020 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 Language Models are Few-Shot Learners Brown et al. · NeurIPS 2020 · LLMs & generative AI, Platforms, policy & society2020 Inoculating Against Fake News About COVID-19 van der Linden et al. · Frontiers in Psychology · Psychology & interventions, Platforms, policy & society2020 Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements Shu et al. · Book chapter · Detection methods, Spread & networks2020 Fighting an Infodemic: COVID-19 Fake News Dataset Patwa et al. · Springer · Datasets & evaluation, Detection methods2020 The Creation and Detection of Deepfakes: A Survey Mirsky & Lee · ACM Computing Surveys · Deepfakes & multimodal, Detection methods2020 A Decade of Social Bot Detection Cresci · Communications of the ACM · Bots & coordinated campaigns, Datasets & evaluation2020 Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks Bian et al. · AAAI 2020 · Spread & networks, Detection methods2020 What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context Baly et al. · 58th Annual Meeting of the Association for… · Spread & networks, Detection methods2020 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 Social media and vaccine hesitancy Wilson & Wiysonge · BMJ Global Health · Platforms, policy & society, Spread & networks2020 Fact-Checking: A Meta-Analysis of What Works and for Whom Walter et al. · Political Communication · Fact-checking & verification, Psychology & interventions