| 2025 | ICWSM | A Dataset for Analysing News Framing in Chinese Media. | Owen Cook, Yida Mu, Xinye Yang, Xingyi Song, Kalina Bontcheva |
| 2024 | COLING | Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling. | Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song |
| 2024 | COLING | Examining Temporalities on Stance Detection towards COVID-19 Vaccination. | Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song |
| 2024 | COLING | Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. | Yida Mu, Xingyi Song, Kalina Bontcheva, Nikolaos Aletras |
| 2024 | COLING | Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. | Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song |
| 2024 | EMNLP | Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research. | Yida Mu, Mali Jin, Xingyi Song, Nikolaos Aletras |
| 2023 | EACL | It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits. | Yida Mu, Kalina Bontcheva, Nikolaos Aletras |
| 2023 | EMNLP | Don't waste a single annotation: improving single-label classifiers through soft labels. | Ben Wu, Yue Li, Yida Mu, Carolina Scarton, Kalina Bontcheva, Xingyi Song |
| 2023 | ICWSM | VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twitter. | Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, Xingyi Song |
| 2023 | RANLP | 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 |