| Identifying Twitter users who repost unreliable news sources with linguistic information Y Mu, N Aletras PeerJ Computer Science, 2020 | 17 | 2020 |
| Identifying and characterizing active citizens who refute misinformation in social media Y Mu, P Niu, N Aletras ACM Web Science, 2022 | 13 | 2022 |
| It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits Y Mu, K Bontcheva, N Aletras EACL Findings, 2023 | 12 | 2023 |
| VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter Y Mu, M Jin, C Grimshaw, C Scarton, K Bontcheva, X Song ICWSM, 2023 | 8 | 2023 |
| Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science Y Mu, BP Wu, W Thorne, A Robinson, N Aletras, C Scarton, K Bontcheva, ... LREC-COLING, 2024 | 6 | 2024 |
| Examining Temporalities on Stance Detection Towards COVID-19 Vaccination Y Mu, M Jin, K Bontcheva, X Song LREC-COLING, 2024 | 5 | 2024 |
| Predicting and analyzing the popularity of false rumors in Weibo Y Mu, P Niu, K Bontcheva, N Aletras Expert Systems with Applications 243, 122791, 2024 | 1 | 2024 |
| Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets Y Mu, X Song, K Bontcheva, N Aletras LREC-COLING, 2024 | 1 | 2024 |
| Examining temporal bias in abusive language detection M Jin, Y Mu, D Maynard, K Bontcheva arXiv preprint arXiv:2309.14146, 2023 | 1 | 2023 |
| A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation Y Mu, Y Jiang, F Heppell, I Singh, C Scarton, K Bontcheva, X Song ICWSM TrueHealth Workshop, 2023 | 1 | 2023 |
| Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling Y Mu, C Dong, K Bontcheva, X Song LREC-COLING, 2024 | | 2024 |
| Don't Waste a Single Annotation: Improving Single-Label Classifiers Through Soft Labels B Wu, Y Li, Y Mu, C Scarton, K Bontcheva, X Song EMNLP Findings, 2023 | | 2023 |
| Classification-Aware Neural Topic Model Combined With Interpretable Analysis--For Conflict Classification T Liang, Y Mu, S Kim, DLK Kuate, J Lang, R Vos, X Song RANLP, 2023 | | 2023 |
| Combating misinformation on social media by exploiting post and user-level information Y Mu University of Sheffield, 2023 | | 2023 |
Kalina BontchevaProfessor of Text Analytics, University of SheffieldVerified email at sheffield.ac.uk
