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2018 The Fact Extraction and VERification (FEVER) Shared Task Thorne et al. · ACL 2018 Shared Task · Fact-checking & verification, Datasets & evaluation 2018 Studying Fake News via Network Analysis: Detection and Mitigation Shu et al. · Book chapter · Spread & networks, Detection methods 2018 Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media ElSherief et al. · ICWSM · Psychology & interventions, Platforms, policy & society 2018 Combating Fake News: A Survey on Identification and Mitigation Techniques Sharma et al. · ACM Transactions on Intelligent Systems and… · Detection methods, Datasets & evaluation 2018 Rumor Detection on Twitter with Tree-structured Recursive Neural Networks Ma et al. · 56th Annual Meeting of the Association for… · Spread & networks, Detection methods 2018 The Science of Fake News Lazer et al. · Science · Platforms, policy & society, Fact-checking & verification 2018 EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection Wang et al. · KDD '18: The 24th ACM SIGKDD International… · Deepfakes & multimodal, Detection methods 2018 Belief in conspiracy theories: Basic principles of an emerging research domain van Prooijen & Douglas · European Journal of Social Psychology · Psychology & interventions, Platforms, policy & society 2018 Bots increase exposure to negative and inflammatory content in online social systems Stella et al. · National Academy of Sciences · Bots & coordinated campaigns, Spread & networks 2018 Influencers in Polarized Political Networks on Twitter Soares et al. · SMSociety · Spread & networks, Bots & coordinated campaigns 2018 The small, disloyal fake news audience: The role of audience availability in fake news consumption Nelson & Taneja · New Media & Society · Spread & networks, Psychology & interventions 2018 Exposure to opposing views on social media can increase political polarization Bail et al. · PNAS · Spread & networks, Platforms, policy & society 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 "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 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 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 CSI: A Hybrid Deep Model for Fake News Detection Ruchansky et al. · CIKM'17 · Detection methods, LLMs & generative AI