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09/20/2023
Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets
A crucial aspect of a rumor detection model is its ability to generalize...
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08/29/2023
Classification-Aware Neural Topic Model Combined With Interpretable Analysis – For Conflict Classification
A large number of conflict events are affecting the world all the time. ...
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05/23/2023
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science
Instruction-tuned Large Language Models (LLMs) have exhibited impressive...
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04/10/2023
A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation
The COVID-19 pandemic led to an infodemic where an overwhelming amount o...
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04/10/2023
Examining Temporalities on Stance Detection Towards COVID-19 Vaccination
Previous studies have highlighted the importance of vaccination as an ef...
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02/06/2023
It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits
New events emerge over time influencing the topics of rumors in social m...
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01/17/2023
VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter
Vaccine hesitancy has been a common concern, probably since vaccines wer...
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04/21/2022
