🙋 Hello! I am Bohan Jiang.

I am a Ph.D. candidate in Computer Science at Arizona State University (ASU), advised by Prof. Huan Liu. My research lies at the intersection of data mining, computational social science, AI, and NLP.

I am particularly interested in understanding and mitigating online harms, such as disinformation, echo chambers, and conspiracies, and in leveraging and evaluating AI models for the benefit of science, public health, and well-being. I also work closely with and am advised by Prof. Kristina Lerman and Prof. H. Russell Bernard.

I expect to graduate in Summer 2026 and am currently looking for assistant professor / post-doc / research scientist positions. Please feel free to reach out at bjiang14[AT]asu.edu.

🧑‍💻 Research Interests

• Data Mining: Developing advanced algorithms to collect, analyze, and model big data, aiming to provide practical insights to real-world applications and decision making.
• AI for Good: Advancing applied ML, AI, and Human-AI collaboration to solve real-world problems and promote well-being; AI for science, AI evaluation, Large Language Model application.
• Computational Social Science: Leveraging computational methods and statistical models to address social problems; Fact-checking; Disinformation detection; Social polarization; Crisis Classification.
• Public Health: Studying the impact of online activities on offline health-related outcomes; Pandemic dynamics; Multimodal and multilingual public health data collection and analysis.

📰 News and Updates

• 2026.06: ✈️ Attending 2026 SUNBELT in Daytona Beach, FL. link
• 2026.05: ✈️ Attending ICWSM 2026 in LA. link
• 2026.05: 🎉 Our paper on “Anticausal LLM-based Data Synthesis” is accepted to KDD 2026 Research Track, see you in Jeju, Korea (maybe).
• 2026.05: ✈️ Attending APPEX—ASU Launch in ASU west campus. link
• 2026.04: 🎉 Our paper on “Is Chain-of-Thought Reasoning of LLMs a Mirage?” is accepted to ACL 2026, see you in San Diego. paper
• 2026.04: ✈️ Attending ASU Machine Learning Day 2026 in ASU west campus, and poster presentation. link
• 2026.04: ✈️ Attending The inaugural AIX Summit in New York City, and present our work on LLM-powered Social Impact Assessment. link
• 2026.04: 🎉 Our paper on “MLLMs for Simulating Subjective Human Responses to Short Video” is accepted to SocialLLM@ICWSM 2026, see you in LA.
• 2026.02: 🎉 Our paper on “Causality-guided Multimodal Crisis Classification” is accepted to PAKDD 2026, see you in Hong Kong (maybe). paper
• 2026.01: 🎉 Our paper on “Preference Leakage: A Contamination Problem in LLM-as-a-judge” is accepted to ICLR 2026. This work also received the Best Paper Award 🏆 at DIG-BUGS@ICML 2025. paper
• 2025.12: 🎉 Our paper on “LLM-based Data Synthesis” is accpeted to WSDM 2026, see you in Boise! paper
• 2025.11: 🎉 Our paper on “Social Impact Assessment of Conspiracy Theories” is accpeted to ICWSM 2026, see you in LA!.