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2019 The Emergence of Deepfake Technology: A Review Westerlund · Technology Innovation Management Review · Deepfakes & multimodal, Detection methods 2019 Deep Learning for Deepfakes Creation and Detection: A Survey Nguyen et al. · arXiv · Deepfakes & multimodal, Detection methods 2019 Influence of fake news in Twitter during the 2016 US presidential election Bovet & Makse · Nature Communications · Spread & networks, Platforms, policy & society 2019 RoBERTa: A Robustly Optimized BERT Pretraining Approach Liu et al. · arXiv · LLMs & generative AI, Detection methods 2019 The platform governance triangle: conceptualising the informal regulation of online content Gorwa · Internet Policy Review · Platforms, policy & society 2019 SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media Zampieri et al. · 13th International Workshop on Semantic… · Detection methods, Datasets & evaluation 2019 Predicting the Type and Target of Offensive Posts in Social Media Zampieri et al. · NAACL · Datasets & evaluation, Detection methods 2019 Learning Hierarchical Discourse-level Structure for Fake News Detection Karimi & Tang · arXiv · Detection methods, LLMs & generative AI 2019 Auditing Radicalization Pathways on YouTube Horta Ribeiro et al. · ACM 2020 Conference on Fairness,… · Spread & networks, Platforms, policy & society 2019 A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking Hanselowski et al. · arXiv · Fact-checking & verification, Datasets & evaluation 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