Multimodally-Grounded Information Retrieval and Verification Steven Novella, Yale University School of Medicine The Misinformation Trifecta: What are the tactics used by those spreading misinformation and false narratives online? Gabriele Picco, Thanh Lam Hoang, Marco Luca Sbodio and Vanessa Lopez Neural Unification for Logic Reasoning over Natural Language Isidora Tourni, Lei Guo, Taufiq Daryanto, Fabian Zhafransyah, Edward Edberg Halim, Mona Jalal, Boqi Chen, Sha Lai, Hengchang Hu, Margrit Betke, Prakash Ishwar and Derry Tanti WijayaĬontractNLI: A Dataset for Document-level Natural Language Inference for Contractsįighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Societyįiroj Alam, Shaden Shaar, Fahim Dalvi, Hassan Sajjad, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Nadir Durrani, Kareem Darwish, Abdulaziz Al-Homaid, Wajdi Zaghouani, Tommaso Caselli, Gijs Danoe, Friso Stolk, Britt Bruntink and Preslav Nakov Shad Akhtar, Preslav Nakov and Tanmoy Chakrabortyĭetecting Frames in News Headlines and Lead Images in U.S. Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets Pere-Lluís Huguet Cabot and Roberto Navigli REBEL: Relation Extraction By End-to-end Language generation Yohan Jo, Haneul Yoo, JinYeong Bak, Alice Oh, Chris Reed and Eduard Hovy Knowledge-Enhanced Evidence Retrieval for Counterargument Generation Hitarth Narvala, Graham McDonald and Iadh Ounis RelDiff: Enriching Knowledge Graph Relation Representations for Sensitivity Classification Orkun Temiz, Özgün Ozan Kılıç, Arif Ozan Kızıldağ and Tuğba Taşkaya Temizel Justus Mattern, Yu Qiao, Elma Kerz, Daniel Wiechmann and Markus StrohmaierĪ Fact Checking and Verification System for FEVEROUS Using a Zero-Shot Learning Approach Mohammed Adel Saeed, Giulio Alfarano, Khai nguyen, Duc Pham, Raphael Troncy and Paolo PapottiįANG-COVID: A New Large-Scale Benchmark Dataset for Fake News Detection in German Neural Re-rankers for Evidence Retrieval in the FEVEROUS Task Laura Mascarell, Tatyana Ruzsics, Christian Schneebeli, Philippe Schlattner, Luca Campanella, Severin Klingler and Cristina KadarĬombining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTaĪutomatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning In-Zu Gi, Ting-Yu Fang and Richard Tzong-Han Tsai NCU: Verdict Inference with Claim and Retrieved Elements Using RoBERTa Modeling Entity Knowledge for Fact Verification Q&A with Brendan Nyhan and Shared Task System presenters Team Papelo at FEVEROUS: Multi-hop Evidence Pursuit Mostafa Bouziane, Hugo Perrin, Amine Sadeq, Thanh Nguyen, Aurélien Cluzeau and Julien Mardas Q&A with Mirella Lapata and Pasqualle Minerviniįacts and myths about (mis)information exposure and beliefsįaBULOUS: Fact-checking Based on Understanding of Language Over Unstructured and Structured information Pasquale Minervini, University College London Neema Kotonya, Thomas Spooner, Daniele Magazzeni and Francesca ToniĮxtractive Opinion Summarization in Quantized Transformer SpacesĪnswering Complex Questions Over Knowledge Bases and Natural Language Corpora At Scale Graph Reasoning with Context-Aware Linearizations for Fact Extraction and Verification Maria Liakata, Queen Mary University of LondonĮvidence Selection as a Token-Level Prediction Task Personalised Longitudinal Natural Language Processing Preslav Nakov, Qatar Computing Research Institute Detecting the "Fake News" Before It Was Even Written, Media Literacy, and Flattening the Curve of the COVID-19 Infodemic
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