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2019 MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims Augenstein et al. · arXiv · Fact-checking & verification, Datasets & evaluation 2019 Characterizing the Use of Images in State-Sponsored Information Warfare Operations by Russian Trolls on Twitter Zannettou et al. · AAAI Conference on Web and Social Media · Bots & coordinated campaigns, Deepfakes & multimodal 2019 Scalable and Generalizable Social Bot Detection through Data Selection Yang et al. · arXiv · Bots & coordinated campaigns, Datasets & evaluation 2019 Arming the public with artificial intelligence to counter social bots Yang et al. · arXiv · Bots & coordinated campaigns, Datasets & evaluation 2019 Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection San Martino et al. · NLP4IF Workshop at EMNLP-IJCNLP · Detection methods, Datasets & evaluation 2019 Recurrent Convolutional Strategies for Face Manipulation Detection in Videos Sabir et al. · arXiv · Deepfakes & multimodal, Detection methods 2019 FaceForensics++: Learning to Detect Manipulated Facial Images Rössler et al. · arXiv · Deepfakes & multimodal, Detection methods 2019 NELA-GT-2018: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles Nørregaard et al. · arXiv · Datasets & evaluation, Spread & networks 2019 r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection Nakamura et al. · arXiv · Datasets & evaluation, Deepfakes & multimodal 2019 Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations Kumar & Carley · 57th Annual Meeting of the Association for… · Detection methods, Spread & networks 2019 A Benchmark Study of Machine Learning Models for Online Fake News Detection Khan et al. · arXiv · Detection methods, Datasets & evaluation 2019 Automatic Detection of Generated Text is Easiest when Humans are Fooled Ippolito et al. · arXiv · LLMs & generative AI, Detection methods 2019 RumourEval 2019: Determining Rumour Veracity and Support for Rumours Gorrell et al. · 13th International Workshop on Semantic… · Spread & networks, Datasets & evaluation 2019 GLTR: Statistical Detection and Visualization of Generated Text Gehrmann et al. · arXiv · LLMs & generative AI, Detection methods 2019 Better Safe Than Sorry: an Adversarial Approach to improve Social Bot Detection Cresci et al. · ACM Web Science Conference · Bots & coordinated campaigns, Detection methods 2019 FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals Cifci et al. · IEEE Transactions on Pattern Analysis and… · Deepfakes & multimodal, Detection methods 2019 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 & society 2019 Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection Adelani et al. · arXiv · LLMs & generative AI, Detection methods 2019 Defending Against Neural Fake News Zellers et al. · NeurIPS · LLMs & generative AI, Detection methods 2019 Beyond News Contents: The Role of Social Context for Fake News Detection Shu et al. · ACM International Conference on Web Search… · Detection methods, Datasets & evaluation 2019 Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation Shu et al. · AAAI · Spread & networks, Detection methods 2019 Fake News Detection on Social Media using Geometric Deep Learning Monti et al. · arXiv · Spread & networks, Detection methods 2019 Fake News: Fundamental Theories, Detection Strategies and Challenges Zhou et al. · WSDM '19 · Spread & networks, Detection methods 2019 dEFEND: Explainable Fake News Detection Shu et al. · KDD 2019 · Detection methods, Spread & networks