Publications
You can find my publications on my Google Scholar.
(* indicates equal contributions)
- Assessing the Impact of Conspiracy Theories Using Large Language Models
Bohan Jiang, Dawei Li, Zhen Tan, Xinyi Zhou, Ashwin Rao, Kristina Lerman, H Russell Bernard, Huan Liu
Under Review - In-Group Love, Out-Group Hate: A Framework to Measure Affective Polarization via Contentious Online Discussions
Buddhika Nettasinghe, Ashwin Rao, Bohan Jiang, Allon Percus, Kristina Lerman
Under Review - From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
Dawei Li, Bohan Jiang, Liangjie Huang, Alimohammad Beigi, Chengshuai Zhao, Zhen Tan, Amrita Bhattacharjee, Yuxuan Jiang, Canyu Chen, Tianhao Wu, Kai Shu, Lu Cheng, Huan Liu
Under Review - LRQ-Fact: LLM-Generated Relevant Questions for Multimodal Fact-Checking
Alimohammad Beigi, Bohan Jiang, Dawei Li, Tharindu Kumarage, Zhen Tan, Pouya Shaeri, Huan Liu
Under Review - BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social
Ujun Jeong, Bohan Jiang, Zhen Tan, H Russell Bernard, Huan Liu
IEEE Data Descriptions (2024), 1–8. - Catching Chameleons: Detecting Evolving Disinformation Generated using Large Language Models (🏆 Best Student Paper Award)
Bohan Jiang*, Chengshuai Zhao*, Zhen Tan, Huan Liu
IEEE International Conference on Cognitive Machine Intelligence (IEEE CogMI 2024) - Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media
Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu
IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA 2024) - Large Language Models for Data Annotation and Synthesis: A Survey
Zhen Tan*, Dawei Li*, Song Wang*, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024 Oral) - Disinformation Detection: An Evolving Challenge in the Age of LLMs
Bohan Jiang, Zhen Tan, Ayushi Nirmal, Huan Liu
SIAM International Conference on Data Mining (SDM 2024) - Advancing Recognition Justice in Telecoupled Critical Mineral Supply Chains: The Promise of Social Media
Datu Buyung Agusdinata, Hallie Eakin, Nicole Darnall, Bohan Jiang, Hugo Romero
Energy Research & Social Science, 2023 - SocioHub: An Interactive Tool for Cross-Platform Social Media Data Collection
Ayushi Nirmal, Bohan Jiang, Huan Liu
International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2024) - CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Research
Bohan Jiang, Paras Sheth, Baoxin Li, Huan Liu
International AAAI Conference on Web and Social Media (ICWSM 2023) Workshop - A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation
Faisal Alatawi, Lu Cheng, Anique Tahir, Mansooreh Karami, Bohan Jiang, Tyler Black, Huan Liu - Mechanisms and Attributes of Echo Chambers in Social Media
Bohan Jiang, Mansooreh Karami, Lu Cheng, Tyler Black, Huan Liu
International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2021) - Quantifying Compliance with COVID-19 Mitigation Policies in the US: A Mathematical Modeling Study
Nao Yamamoto, Bohan Jiang, Haiyan Wang
Infectious Disease Modelling, 2021 - MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation
Yichuan Li, Bohan Jiang, Kai Shu, Huan Liu
IEEE International Conference on Big Data (IEEE BigData 2020)