Projects

We examine how individuals engage with various groups and communications in digital spaces. For example, our research aims to tackle social challenges related mis/disinformation and online scams.

Projects

• Cognitive security
• Understanding mis/disinformation flow
• Intervention designs to mitigate unintended information spread and user behaviors

Selected publications

• Shibuya, Y., Nakazato, T., & Takagi, S. (2025). How do people evaluate the accuracy of video posts when a warning indicates they were generated by AI?. International Journal of Human-Computer Studies, 103485.
• Nakazato, T., Onishi, M., Suzuki, H., & Shibuya, Y. (2024). JSocialFact: a Misinformation dataset from Social Media for Benchmarking LLM Safety. In 2024 IEEE International Conference on Big Data (BigData) (pp. 3017-3025). IEEE.
• Shibuya, Y., Hamm, A., & Pargman, T. C. (2022). Mapping HCI research methods for studying social media interaction: A systematic literature review. Computers in Human Behavior, 129, 107131.