Identifying Twitter users who repost unreliable news sources with linguistic information. - Yida Mu; Nikolaos Aletras (PeerJ Comput. Sci., 2020)

Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media. - Yida Mu; Pu Niu; Nikolaos Aletras (WebSci, 2022)

It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits. - Yida Mu; Kalina Bontcheva; Nikolaos Aletras (EACL (Findings), 2023)

Don't waste a single annotation: improving single-label classifiers through soft labels. - Ben Wu 001; Yue Li; Yida Mu; Carolina Scarton; Kalina Bontcheva; Xingyi Song (EMNLP (Findings), 2023)

VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twitter. - Yida Mu; Mali Jin; Charlie Grimshaw; Carolina Scarton; Kalina Bontcheva; Xingyi Song (ICWSM, 2023)

Classification-Aware Neural Topic Model Combined with Interpretable Analysis - for Conflict Classification. - Tianyu Liang; Yida Mu; Soonho Kim; Darline Kengne Kuate; Julie Lang; Rob Vos; Xingyi Song (RANLP, 2023)

A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation. - Yida Mu; Ye Jiang 001; Freddy Heppell; Iknoor Singh; Carolina Scarton; Kalina Bontcheva; Xingyi Song (CoRR, 2023)

Examining Temporal Bias in Abusive Language Detection. - Mali Jin; Yida Mu; Diana Maynard; Kalina Bontcheva (CoRR, 2023)

Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE). - Piotr Przybyla; Ben Wu 001; Alexander V. Shvets; Yida Mu; Kim Cheng Sheang; Xingyi Song; Horacio Saggion (CLEF (Working Notes), 2024)

Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling. - Yida Mu; Chun Dong; Kalina Bontcheva; Xingyi Song (LREC/COLING, 2024)

Examining Temporalities on Stance Detection towards COVID-19 Vaccination. - Yida Mu; Mali Jin; Kalina Bontcheva; Xingyi Song (LREC/COLING, 2024)

Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. - Yida Mu; Xingyi Song; Kalina Bontcheva; Nikolaos Aletras (LREC/COLING, 2024)

Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. - Yida Mu; Ben P. Wu 001; William Thorne; Ambrose Robinson; Nikolaos Aletras; Carolina Scarton; Kalina Bontcheva; Xingyi Song (LREC/COLING, 2024)

Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research. - Yida Mu; Mali Jin; Xingyi Song; Nikolaos Aletras (EMNLP, 2024)

Optimising LLM-Driven Machine Translation with Context-Aware Sliding Windows. - Xinye Yang; Yida Mu; Kalina Bontcheva; Xingyi Song (WMT, 2024)

Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling. - Yida Mu; Peizhen Bai; Kalina Bontcheva; Xingyi Song (CoRR, 2024)

Predicting and analyzing the popularity of false rumors in Weibo. - Yida Mu; Pu Niu; Kalina Bontcheva; Nikolaos Aletras (Expert Syst. Appl., 2024)

A Dataset for Analysing News Framing in Chinese Media. - Owen Cook; Yida Mu; Xinye Yang; Xingyi Song; Kalina Bontcheva (ICWSM, 2025)

Chinese News Framing Dataset. - Owen Cook; Yida Mu; Xinye Yang; Xingyi Song; Kalina Bontcheva (Zenodo, 2025)