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GUIDEUnderstanding fake news, misinformation & disinformation

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2019 Influence of fake news in Twitter during the 2016 US presidential election Bovet & Makse · Nature Communications · Spread & networks, Platforms, policy & society2019 A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking Hanselowski et al. · arXiv · Fact-checking & verification, Datasets & evaluation2019 MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims Augenstein et al. · arXiv · Fact-checking & verification, Datasets & evaluation2019 NELA-GT-2018: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles Nørregaard et al. · arXiv · Datasets & evaluation, Spread & networks2019 RumourEval 2019: Determining Rumour Veracity and Support for Rumours Gorrell et al. · 13th International Workshop on Semantic… · Spread & networks, Datasets & evaluation2019 Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media Baly et al. · arXiv · Fact-checking & verification, Platforms, policy & society2019 Fighting Misperceptions and Doubting Journalists' Objectivity: A Review of Fact-checking Literature Nieminen & Rapeli · Political Studies Review · Fact-checking & verification, Platforms, policy & society2019 Cognitive attraction and online misinformation Acerbi · Palgrave Communications · Psychology & interventions, Spread & networks2018 Detection and Resolution of Rumours in Social Media: A Survey Zubiaga et al. · ACM Computing Surveys · Detection methods, Datasets & evaluation2018 The Fact Extraction and VERification (FEVER) Shared Task Thorne et al. · ACL 2018 Shared Task · Fact-checking & verification, Datasets & evaluation2018 FEVER: A Large-Scale Dataset for Fact Extraction and VERification Thorne et al. · arXiv · Fact-checking & verification, Datasets & evaluation2018 DeClareE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning Popat et al. · arXiv · Fact-checking & verification, Detection methods2018 All-in-one: Multi-task Learning for Rumour Verification Kochkina et al. · arXiv · Detection methods, Fact-checking & verification2018 Sampling the News Producers: A Large News and Feature Data Set for the Study of the Complex Media Landscape Horne et al. · ICWSM 2018 · Datasets & evaluation, Spread & networks2018 Predicting Factuality of Reporting and Bias of News Media Sources Baly et al. · arXiv · Fact-checking & verification, Datasets & evaluation2018 The Science of Fake News Lazer et al. · Science · Platforms, policy & society, Fact-checking & verification2017 ClaimBuster: The first end-to-end fact-checking system Hassan · VLDB · Fact-checking & verification, Datasets & evaluation2017 Claim Ranking in Political Debates Hassan · EMNLP · Fact-checking & verification, Psychology & interventions2017 Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation Kim et al. · arXiv · Spread & networks, Fact-checking & verification2017 Liar, Liar Pants on Fire: A New Benchmark Dataset for Fake News Detection Wang · arXiv · Datasets & evaluation, Fact-checking & verification2017 Finding Streams in Knowledge Graphs to Support Fact Checking Shiralkar et al. · arXiv · Fact-checking & verification, Datasets & evaluation2017 Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking Rashkin et al. · 2017 Conference on Empirical Methods in… · Detection methods, Fact-checking & verification2017 SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours Derczynski et al. · 11th International Workshop on Semantic… · Spread & networks, Datasets & evaluation2017 Inoculating the Public against Misinformation about Climate Change van der Linden et al. · Global Challenges · Psychology & interventions, Platforms, policy & society