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Found 7 papers, 3 papers with code
Finding Already Debunked Narratives via Multistage Retrieval: Enabling Cross-Lingual, Cross-Dataset and Zero-Shot Learning
The task of retrieving already debunked narratives aims to detect stories that have already been fact-checked.
A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation
This motivated us to carry out a comparative study of the characteristics of COVID-19 misinformation versus those of accurate COVID-19 information through a large-scale computational analysis of over 242 million tweets.
GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article Similarity
This paper describes the second-placed system on the leaderboard of SemEval-2022 Task 8: Multilingual News Article Similarity.
WikiTalkEdit: A Dataset for modeling Editors' behaviors on Wikipedia
We show how the data supports the classic understanding of style matching, where positive emotion and the use of first-person pronouns predict a positive emotional change in a Wikipedia contributor.
Multistage BiCross encoder for multilingual access to COVID-19 health information
The Coronavirus (COVID-19) pandemic has led to a rapidly growing 'infodemic' of health information online.
Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus
The explosion of disinformation accompanying the COVID-19 pandemic has overloaded fact-checkers and media worldwide, and brought a new major challenge to government responses worldwide.
On the Coherence of Fake News Articles
The generation and spread of fake news within new and online media sources is emerging as a phenomenon of high societal significance.
