| 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 | 23 | 2024 |
| Identifying Twitter users who repost unreliable news sources with linguistic information Y Mu, N Aletras PeerJ Computer Science 6, e325, 2020 | 21 | 2020 |
| It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits Y Mu, K Bontcheva, N Aletras EACL Findings, 2023 | 19 | 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 | 17 | 2024 |
| Identifying and characterizing active citizens who refute misinformation in social media Y Mu, P Niu, N Aletras Proceedings of the 14th ACM Web Science Conference 2022, 401-410, 2022 | 14 | 2022 |
| Vaxxhesitancy: A dataset for studying hesitancy towards covid-19 vaccination on twitter Y Mu, M Jin, C Grimshaw, C Scarton, K Bontcheva, X Song Proceedings of the International AAAI Conference on Web and Social Media 17 …, 2023 | 13 | 2023 |
| 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 | 10 | 2023 |
| Examining temporalities on stance detection towards covid-19 vaccination Y Mu, M Jin, K Bontcheva, X Song LREC-COLING, 2024 | 7 | 2024 |
| Overview of the CLEF-2024 CheckThat! Lab task 6 on robustness of credibility assessment with adversarial examples (InCrediblAE) P Przybyła, B Wu, A Shvets, Y Mu, KC Sheang, X Song, H Saggion Working Notes of CLEF, 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 | 4 | 2024 |
| Examining temporal bias in abusive language detection M Jin, Y Mu, D Maynard, K Bontcheva arXiv preprint arXiv:2309.14146, 2023 | 4 | 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 arXiv preprint arXiv:2304.04811, 2023 | 4 | 2023 |
| Examining the limitations of computational rumor detection models trained on static datasets Y Mu, X Song, K Bontcheva, N Aletras LREC-COLING, 2024 | 3 | 2024 |
| Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling Y Mu, P Bai, K Bontcheva, X Song arXiv preprint arXiv:2405.00611, 2024 | 2 | 2024 |
| Optimising LLM-Driven Machine Translation with Context-Aware Sliding Windows X Yang, Y Mu, K Bontcheva, X Song Proceedings of the Ninth Conference on Machine Translation, 1004-1010, 2024 | | 2024 |
| Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research Y Mu, M Jin, X Song, N Aletras EMNLP, 2024 | | 2024 |
| Stock Price Prediction with Sentiment Analysis for Chinese Market Y Luan, H Zhang, C Zhang, Y Mu, W Wang Proceedings of the Joint Workshop of the 7th Financial Technology and …, 2024 | | 2024 |
| 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 arXiv preprint arXiv:2308.15232, 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