Yida Mu
According to our database1,
Yida Mu
authored at least 12 papers
between 2020 and 2024.
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Bibliography
2024
Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling.
CoRR, 2024
2023
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets.
CoRR, 2023
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science.
CoRR, 2023
A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation.
CoRR, 2023
Classification-Aware Neural Topic Model Combined with Interpretable Analysis - for Conflict Classification.
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023
VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twitter.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023
Don't waste a single annotation: improving single-label classifiers through soft labels.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
2022
Identifying and Characterizing Active Citizens who Refute Misinformation in Social Media.
Proceedings of the WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, June 26, 2022
2020
Identifying Twitter users who repost unreliable news sources with linguistic information.
PeerJ Comput. Sci., 2020