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2018 Multi-Source Multi-Class Fake News Detection Karimi et al. · 27th International Conference on… · Detection methods, Datasets & evaluation 2018 A Deep Learning Approach for Multimodal Deception Detection Krishnamurthy et al. · arXiv · Deepfakes & multimodal, Detection methods 2018 The Clickbait Challenge 2017: Towards a Regression Model for Clickbait Strength Potthast et al. · arXiv · Detection methods, Datasets & evaluation 2018 Comparative Studies of Detecting Abusive Language on Twitter Lee et al. · arXiv · Detection methods, Datasets & evaluation 2018 Automated identification of media bias in news articles: an interdisciplinary literature review Hamborg et al. · International Journal on Digital Libraries · Detection methods, LLMs & generative AI 2018 The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation Brundage et al. · arXiv · Platforms, policy & society, Deepfakes & multimodal 2018 Detection and Resolution of Rumours in Social Media: A Survey Zubiaga et al. · ACM Computing Surveys · Detection methods, Datasets & evaluation 2018 Two-Stream Neural Networks for Tampered Face Detection Zhou et al. · arXiv · Deepfakes & multimodal, Detection methods 2018 The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans Zannettou et al. · arXiv · Spread & networks, Datasets & evaluation 2018 Who Let The Trolls Out? Towards Understanding State-Sponsored Trolls Zannettou et al. · arXiv · Bots & coordinated campaigns, Spread & networks 2018 On the Origins of Memes by Means of Fringe Web Communities Zannettou et al. · IMC 2018 · Spread & networks, Bots & coordinated campaigns 2018 Disinformation Warfare: Understanding State-Sponsored Trolls on Twitter and Their Influence on the Web Zannettou et al. · arXiv · Bots & coordinated campaigns, Platforms, policy & society 2018 TI-CNN: Convolutional Neural Networks for Fake News Detection Yang et al. · arXiv · Detection methods, Deepfakes & multimodal 2018 Exposing Deep Fakes Using Inconsistent Head Poses Yang et al. · arXiv · Deepfakes & multimodal, Detection methods 2018 The Fact Extraction and VERification (FEVER) Shared Task Thorne et al. · ACL 2018 Shared Task · Fact-checking & verification, Datasets & evaluation 2018 FEVER: A Large-Scale Dataset for Fact Extraction and VERification Thorne et al. · arXiv · 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 DeClareE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning Popat et al. · arXiv · Fact-checking & verification, Detection methods 2018 Combating Fake News with Interpretable News Feed Algorithms Mohseni & Ragan · arXiv · Spread & networks, Platforms, policy & society 2018 Detecting GAN-generated Imagery using Color Cues McCloskey & Albright · arXiv · Deepfakes & multimodal, Detection methods 2018 In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking Li et al. · arXiv · Deepfakes & multimodal, Detection methods 2018 DeepFakes: a New Threat to Face Recognition? Assessment and Detection Korshunov & Marcel · arXiv · Deepfakes & multimodal, Detection methods 2018 All-in-one: Multi-task Learning for Rumour Verification Kochkina et al. · arXiv · Detection methods, Fact-checking & verification 2018 Sampling the News Producers: A Large News and Feature Data Set for the Study of the Complex Media Landscape Horne et al. · ICWSM 2018 · Datasets & evaluation, Spread & networks