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Even to a simple and short news headline, readers react in a multitude of ways: cognitively (e.g.
Fake news detection as natural language inference
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Covid-twitter-bert: A natural language processing model to analyse covid-19 content on twitter
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Detecting east asian prejudice on social media
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Coaid: Covid-19 healthcare misinformation dataset
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Disinformation and misinformation on twitter during the novel coronavirus outbreak
Binxuan Huang and Kathleen M. Carley. 2020 · 2006
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What’s next for science communication? promising directions and lingering distractions
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Support for climate policy and societal action are linked to perceptions about scientific agreement
Ding Ding, Edward W. Maibach, Xiaoquan Zhao, Connie Roser-Renouf, and Anthony Leiserowitz. 2011 · 2011
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Finding deceptive opinion spam by any stretch of the imagination
Myle Ott, Yejin Choi, Claire Cardie, and Jeffrey T. Hancock. 2011 · 2011
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Representing general relational knowledge in ConceptNet 5
Robyn Speer and Catherine Havasi. 2012 · 2012
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All the news that’s fit to read: a study of social annotations for news reading
Chinmay Kulkarni and Ed Chi. 2013 · 2013
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A functional analysis of disinformation
D. Fallis. 2014 · 2014
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The media frames corpus: Annotations of frames across issues
Dallas Card, Amber E. Boydstun, Justin H. Gross, Philip Resnik, and Noah A. Smith. 2015 · 2015
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Social media and fake news in the 2016 election
Hunt Allcott and Matthew Gentzkow. 2017 · 2016
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Social clicks: What and who gets read on twitter?
Maksym Gabielkov, Arthi Ramachandran, Augustin Chaintreau, and Arnaud Legout. 2016 · 2016
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Pragmatic language interpretation as probabilistic inference
Noah D. Goodman and Michael C. Frank. 2016 · 2016
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Fake news or truth? using satirical cues to detect potentially misleading news
Victoria Rubin, Niall Conroy, Yimin Chen, and Sarah Cornwell. 2016 · 2016
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Fake news threatens a climate literate world
Res Lett. 2017 · 2017
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Truth of varying shades: Analyzing language in fake news and political fact-checking
Hannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova, and Yejin Choi. 2017 · 2017
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Separating facts from fiction: Linguistic models to classify suspicious and trusted news posts on twitter
Svitlana Volkova, Kyle Shaffer, Jin Yea Jang, and Nathan Hodas. 2017 · 2017
Cited alongside, same era.
“liar, liar pants on fire”: A new benchmark dataset for fake news detection
William Yang Wang. 2017 · 2017
Cited alongside, same era.
Framing and agenda-setting in Russian news: a computational analysis of intricate political strategies
Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky, and Yulia Tsvetkov. 2018 · 2018
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Social chemistry 101: Learning to reason about social and moral norms
Maxwell Forbes, Jena D. Hwang, Vered Shwartz, Maarten Sap, and Yejin Choi. 2020 · 2020
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Fake news on facebook and twitter: Investigating how people (don’t) investigate
Christine Geeng, Savanna Yee, and Franziska Roesner. 2020 · 2020
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COVIDLies: Detecting COVID-19 misinformation on social media
Tamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, Yoshitomo Matsubara, Sean Young, and Sameer Singh. 2020 · 2020
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”why is ’chicago’ deceptive?” towards building model-driven tutorials for humans
Vivian Lai, Han Liu, and Chenhao Tan. 2020 · 2020
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How does context matter? on the robustness of event detection with context-selective mask generalization
Jian Liu, Yubo Chen, Kang Liu, Yantao Jia, and Zhicheng Sheng. 2020 · 2020
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Bilal Ghanem, Paolo Rosso, and Francisco Rangel. 2018 · 2018
Cited alongside, same era.
Fake cures: User-centric modeling of health misinformation in social media
Amira Ghenai and Yelena Mejova. 2018 · 2018
Cited alongside, same era.
Fake news vs satire: A dataset and analysis
Jennifer Golbeck, Matthew Mauriello, Brooke Auxier, Keval H. Bhanushali, Christopher Bonk, Mohamed Amine Bouzaghrane, Cody Buntain, Riya Chanduka, Paul Cheakalos, Jennine B. Everett, Waleed Falak, Carl Gieringer, Jack Graney, Kelly M. Hoffman, Lindsay Huth, Zhenya Ma, Mayanka Jha, Misbah Khan, Varsha Kori, Elo Lewis, George Mirano, William T. Mohn IV, Sean Mussenden, Tammie M. Nelson, Sean Mcwillie, Akshat Pant, Priya Shetye, Rusha Shrestha, Alexandra Steinheimer, Aditya Subramanian, and Gina Visnansky. 2018 · 2018
Cited alongside, same era.
Linguistic signals under misinformation and fact-checking: Evidence from user comments on social media
Shan Jiang and Christo Wilson. 2018 · 2018
Cited alongside, same era.
Nela-gt-2018: A large multi-labelled news dataset for the study of misinformation in news articles
Jeppe Norregaard, Benjamin D. Horne, and Sibel Adali. 2019 · 2018
Cited alongside, same era.
Content based fake news detection using knowledge graphs
Jeff Z. Pan, Siyana Pavlova, Chenxi Li, Ningxi Li, Yangmei Li, and Jinshuo Liu. 2018 · 2018
Cited alongside, same era.
Event2Mind: Commonsense inference on events, intents, and reactions
Hannah Rashkin, Maarten Sap, Emily Allaway, Noah A. Smith, and Yejin Choi. 2018 · 2018
Cited alongside, same era.
How decoding strategies affect the verifiability of generated text
Luca Massarelli, Fabio Petroni, Aleksandra Piktus, Myle Ott, Tim Rocktäschel, Vassilis Plachouras, Fabrizio Silvestri, and Sebastian Riedel. 2020 · 2020
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Self-reported willingness to share political news articles in online surveys correlates with actual sharing on twitter
Mohsen Mosleh, Gordon Pennycook, and David G. Rand. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam M. Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, W. Li, and Peter J. Liu. 2020 · 2020
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Social bias frames: Reasoning about social and power implications of language
Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, and Yejin Choi. 2020 · 2020
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The limitations of stylometry for detecting machine-generated fake news
Tal Schuster, R. Schuster, Darsh J. Shah, and Regina Barzilay. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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Effects of credibility indicators on social media news sharing intent
Waheeb Yaqub, Otari Kakhidze, Morgan L. Brockman, Nasir Memon, and Sameer Patil. 2020 · 2020
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Bertscore: Evaluating text generation with bert
Tianyi Zhang, V. Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
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A survey of fake news: Fundamental theories, detection methods, and opportunities
Xinyi Zhou and Reza Zafarani. 2020 · 2020
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Voterfraud2020: a multi-modal dataset of election fraud claims on twitter
Anton Abilov, Yiqing Hua, Hana Matatov, Ofra Amir, and Mor Naaman. 2021 · 2021
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In Proposal for a regulation of the european parliament and of the council laying down harmonised rules on artificial intelligence (artificial intelligence act) and amending certain union legislative acts
European Commission. 2021 · 2021
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Mitigating racial biases in toxic language detection with an equity-based ensemble framework
Matan Halevy, Camille Harris, Amy Bruckman, Diyi Yang, and Ayanna M. Howard. 2021 · 2021
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A survey on stance detection for mis- and disinformation identification
Momchil Hardalov, Arnav Arora, Preslav Nakov, and Isabelle Augenstein. 2021 · 2021
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Exploring lightweight interventions at posting time to reduce the sharing of misinformation on social media
F. Jahanbakhsh, Amy X. Zhang, A. Berinsky, Gordon Pennycook, David G. Rand, and D. Karger. 2021 · 2021
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Delphi: Towards machine ethics and norms
Liwei Jiang, Jena D. Hwang, Chandrasekhar Bhagavatula, Ronan Le Bras, Maxwell Forbes, Jon Borchardt, Jenny Liang, Oren Etzioni, Maarten Sap, and Yejin Choi. 2021 · 2021
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A distributional approach to controlled text generation
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Neuralnere: Neural named entity relationship extraction for end-to-end climate change knowledge graph construction
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Gpt-3 models are poor few-shot learners in the biomedical domain
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Social motives for sharing conspiracy theories
Zhiying (Bella) Ren, Eugen Dimant, and Maurice E. Schweitzer. 2021 · 2021
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Annotators with attitudes: How annotator beliefs and identities bias toxic language detection
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Jury learning: Integrating dissenting voices into machine learning models
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