Funded Projects

Designing and Evaluating an Online Intervention to Combat Anti-Asian Racism: A Pilot Study

        2024 - 2025

        Funded by Anti-Racism and Inclusive Excellence (ARIE) Initiative, George Mason University

        Grant: $48,505

        Principal Investigator: Beidi Dong

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Media Coverage:

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Quoted in "As More Schools Turn to AI Weapons Detection, Questions Persist".  

https://undark.org/2026/02/13/as-more-schools-turn-to-ai-weapons-detection-questions-persist/ 

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Publications:

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Houser, T.E. & Dong, B. (2025). The convergence of artificial intelligence and terrorism: A systematic review of the literature. Studies in Conflict & Terrorism, 1-24. https://doi.org/10.1080/1057610X.2025.2527608

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Houser, T.E., McMillan, A. & Dong, B. (2024). Bridging the gap between criminology and computer vision: A multidisciplinary approach to curb gun violence. Security Journal, 37, 1409–1429. https://doi.org/10.1057/s41284-024-00423-7

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Dong, B., Lee, J. R, Zhu, Z., & Srinivasan, B. (2024). Assessing large language models for online extremism research: Identification, explanation, and new knowledge. arXiv. https://doi.org/10.48550/arXiv.2408.16749

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Dong, B., & Wu, X. (2022). Reaching and engaging people: Analyzing tweeting practices of large U.S. police departments pre- and post- the killing of George Floyd. PLOS ONE, e0269288. https://doi.org/10.1371/journal.pone.0269288

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Zhang, Z., Sha, D., Dong, B., Ruan, S., Qiu, A., Li, Y., Liu, J., & Yang, C. (2020). Spatiotemporal patterns and driving factors on crime changing during Black Lives Matter protests. ISPRS International Journal of Geo-Information, 9(11), 640.

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Manuscripts in Progress: 

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Kang, B., Dong, B., & TBA (In Progress). Making safer AI for technology-facilitated intimate partner violence survivors: LLM fine-tuning approach using expert-annotated data

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