61 citations · 81 across the 9 of their papers we have counts for
9 papers
GateNLP at SemEval-2025 Task 10: Hierarchical Three-Step Prompting for Multilingual Narrative Classification
Iknoor Singh, Carolina Scarton, Kalina Bontcheva
The proliferation of online news and the increasing spread of misinformation necessitate robust methods for automatic data analysis. Narrative classification is emerging as a impor…
Breaking Language Barriers with MMTweets: Advancing Cross-Lingual Debunked Narrative Retrieval for Fact-Checking
Iknoor Singh, Carolina Scarton, Xingyi Song +1
Finding previously debunked narratives involves identifying claims that have already undergone fact-checking. The issue intensifies when similar false claims persist in multiple la…
A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation
Yida Mu, Ye Jiang, Freddy Heppell +4
The COVID-19 pandemic led to an infodemic where an overwhelming amount of COVID-19 related content was being disseminated at high velocity through social media. This made it challe…
Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation
Iknoor Singh, Kalina Bontcheva, Xingyi Song +1
This paper compares quantitatively the spread of Ukraine-related disinformation and its corresponding debunks, first by considering re-tweets, replies, and favourites, which demons…
GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article Similarity
Iknoor Singh, Yue Li, Melissa Thong +1
This paper describes the second-placed system on the leaderboard of SemEval-2022 Task 8: Multilingual News Article Similarity. We propose an entity-enriched Siamese Transformer whi…
The False COVID-19 Narratives That Keep Being Debunked: A Spatiotemporal Analysis
Iknoor Singh, Kalina Bontcheva, Carolina Scarton
The onset of the COVID-19 pandemic led to a global infodemic that has brought unprecedented challenges for citizens, media, and fact-checkers worldwide. To address this challenge,…
Multistage BiCross encoder for multilingual access to COVID-19 health information
Iknoor Singh, Carolina Scarton, Kalina Bontcheva
The Coronavirus (COVID-19) pandemic has led to a rapidly growing 'infodemic' of health information online. This has motivated the need for accurate semantic search and retrieval of…
Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus
Xingyi Song, Johann Petrak, Ye Jiang +3
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 world…
On the Coherence of Fake News Articles
Iknoor Singh, Deepak P, Anoop K
The generation and spread of fake news within new and online media sources is emerging as a phenomenon of high societal significance. Combating them using data-driven analytics has…