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GUIDEUnderstanding fake news, misinformation & disinformation

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2019 RoBERTa: A Robustly Optimized BERT Pretraining Approach Liu et al. · arXiv · LLMs & generative AI, Detection methods2019 SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media Zampieri et al. · 13th International Workshop on Semantic… · Detection methods, Datasets & evaluation2019 Predicting the Type and Target of Offensive Posts in Social Media Zampieri et al. · NAACL · Datasets & evaluation, Detection methods2019 Learning Hierarchical Discourse-level Structure for Fake News Detection Karimi & Tang · arXiv · Detection methods, LLMs & generative AI2019 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 Scalable and Generalizable Social Bot Detection through Data Selection Yang et al. · arXiv · Bots & coordinated campaigns, Datasets & evaluation2019 Arming the public with artificial intelligence to counter social bots Yang et al. · arXiv · Bots & coordinated campaigns, Datasets & evaluation2019 Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection San Martino et al. · NLP4IF Workshop at EMNLP-IJCNLP · Detection methods, Datasets & evaluation2019 FaceForensics++: Learning to Detect Manipulated Facial Images Rössler et al. · arXiv · Deepfakes & multimodal, Detection methods2019 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 r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection Nakamura et al. · arXiv · Datasets & evaluation, Deepfakes & multimodal2019 A Benchmark Study of Machine Learning Models for Online Fake News Detection Khan et al. · arXiv · Detection methods, Datasets & evaluation2019 RumourEval 2019: Determining Rumour Veracity and Support for Rumours Gorrell et al. · 13th International Workshop on Semantic… · Spread & networks, Datasets & evaluation2019 Beyond News Contents: The Role of Social Context for Fake News Detection Shu et al. · ACM International Conference on Web Search… · Detection methods, Datasets & evaluation2019 Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation Shu et al. · AAAI · Spread & networks, Detection methods2019 MVAE: Multimodal Variational Autoencoder for Fake News Detection Khattar et al. · World Wide Web Conference · Deepfakes & multimodal, Detection methods2019 Network-based Fake News Detection: A Pattern-driven Approach Zhou & Zafarani · arXiv · Spread & networks, Detection methods2019 Credibility-based Fake News Detection Sitaula et al. · arXiv · Detection methods, Datasets & evaluation2019 The Role of User Profiles for Fake News Detection Shu et al. · arXiv · Detection methods, Datasets & evaluation2018 Multi-Source Multi-Class Fake News Detection Karimi et al. · 27th International Conference on… · Detection methods, Datasets & evaluation2018 The Clickbait Challenge 2017: Towards a Regression Model for Clickbait Strength Potthast et al. · arXiv · Detection methods, Datasets & evaluation2018 Comparative Studies of Detecting Abusive Language on Twitter Lee et al. · arXiv · Detection methods, Datasets & evaluation2018 Detection and Resolution of Rumours in Social Media: A Survey Zubiaga et al. · ACM Computing Surveys · Detection methods, Datasets & evaluation