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2018 Exposure to opposing views on social media can increase political polarization Bail et al. · PNAS · Spread & networks, Platforms, policy & society 2017 "News you don't believe": Audience perspectives on fake news Nielsen & Graves · Reuters Institute Factsheet · Detection methods, Spread & networks 2017 This Just In: Fake News Packs a Lot in Title, Uses Simpler, Repetitive Content in Text Body, More Similar to Satire than Real News Horne & Adalı · AAAI · Spread & networks, Detection methods 2017 Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation Kim et al. · arXiv · Spread & networks, Fact-checking & verification 2017 Topological Recurrent Neural Network for Diffusion Prediction Wang et al. · ICDM 2017 · Spread & networks, Detection methods 2017 Some Like it Hoax: Automated Fake News Detection in Social Networks Tacchini et al. · Technical Report, UC Santa Cruz · Detection methods, Spread & networks 2017 Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM Kochkina et al. · 11th International Workshop on Semantic… · Spread & networks, Detection methods 2017 Fake News Detection on Social Media: A Data Mining Perspective Shu et al. · arXiv · Detection methods, Datasets & evaluation 2017 The spread of low-credibility content by social bots Shao et al. · arXiv · Spread & networks, Bots & coordinated campaigns 2017 Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning Ma et al. · ACL · Detection methods, Spread & networks 2017 Quantifying Controversy on Social Media Garimella et al. · ACM Transactions on Social Computing · Spread & networks, Datasets & evaluation 2017 SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours Derczynski et al. · 11th International Workshop on Semantic… · Spread & networks, Datasets & evaluation 2017 Spreadable Spectacle in Digital Culture: Civic Expression, Fake News, and the Role of Media Literacies in "Post-Fact" Society Mihailidis & Viotty · American Behavioral Scientist · Spread & networks, Psychology & interventions 2017 Emotion shapes the diffusion of moralized content in social networks Brady et al. · National Academy of Sciences · Spread & networks, Psychology & interventions 2017 Information Disorder: Toward an Interdisciplinary Framework for Research and Policy Making Wardle & Derakhshan · Council of Europe report · Spread & networks, Platforms, policy & society 2017 The Spread of True and False News Online Vosoughi et al. · MIT Initiative on the Digital Economy… · Spread & networks, Bots & coordinated campaigns 2017 Social Media and Fake News in the 2016 Election Allcott & Gentzkov · Journal of Economic Perspectives · Spread & networks, Platforms, policy & society 2016 Filter Bubbles, Echo Chambers, and Online News Consumption Flaxman et al. · Public Opinion Quarterly · Spread & networks, Psychology & interventions 2016 Stance Classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations Zubiaga et al. · arXiv · Spread & networks, Detection methods 2016 DeepCas: an End-to-end Predictor of Information Cascades Li et al. · arXiv · Spread & networks, Detection methods 2016 Reducing Controversy by Connecting Opposing Views Garimella et al. · WSDM 2017 · Spread & networks, Platforms, policy & society 2016 Corporate funding and ideological polarization about climate change Farrell · National Academy of Sciences · Spread & networks, Platforms, policy & society 2014 Rumor Cascades Friggeri et al. · Eighth International AAAI Conference on… · Spread & networks, Datasets & evaluation 2014 Can Cascades be Predicted? Cheng et al. · International Conference on Web and Social Media · Spread & networks, Detection methods