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2017 Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter Volkova et al. · ACL 2017 · Detection methods, LLMs & generative AI 2017 Automatic Detection of Fake News Pérez-Rosas et al. · arXiv · Detection methods, Datasets & evaluation 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 ClaimBuster: The first end-to-end fact-checking system Hassan · VLDB · Fact-checking & verification, Datasets & evaluation 2017 Claim Ranking in Political Debates Hassan · EMNLP · Fact-checking & verification, Psychology & interventions 2017 Attention Is All You Need Vaswani et al. · Advances in Neural Information Processing… · LLMs & generative AI 2017 A Survey on Hate Speech Detection using Natural Language Processing Schmidt & Wiegand · Fifth International Workshop on Natural… · Detection methods, Datasets & evaluation 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 Liar, Liar Pants on Fire: A New Benchmark Dataset for Fake News Detection Wang · arXiv · Datasets & evaluation, Fact-checking & verification 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 Finding Streams in Knowledge Graphs to Support Fact Checking Shiralkar et al. · arXiv · Fact-checking & verification, Datasets & evaluation 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 The Paradigm-Shift of Social Spambots: Evidence, Theories, and Tools for the Arms Race Cresci et al. · WWW 2017 Companion · Bots & coordinated campaigns, Detection methods 2017 Online Human-Bot Interactions: Detection, Estimation, and Characterization Varol et al. · arXiv · Bots & coordinated campaigns, Datasets & evaluation 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 CSI: A Hybrid Deep Model for Fake News Detection Ruchansky et al. · CIKM'17 · Detection methods, LLMs & generative AI 2017 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 & verification 2017 A Stylometric Inquiry into Hyperpartisan and Fake News Potthast et al. · arXiv · Detection methods, Datasets & evaluation 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