| 2026 | WWW | Campaign-2-PT-RAG: LLM-Guided Semantic Product Type Attribution for Scalable Campaign Ranking. | Yiming Che, Mansi Ranjit Mane, Keerthi Gopalakrishnan, Parisa Kaghazgaran, Murali Mohana Krishna Dandu, Archana Venkatachalapathy, Sinduja Subramaniam, Yokila Arora, Evren Krpeoglu, Sushant Kumar, Kannan Achan |
| 2024 | ICWSM | MultiFOLD: Multi-source Domain Adaption for Offensive Language Detection. | Aym Arango, Parisa Kaghazgaran, Sheikh Muhammad Sarwar, Vanessa Murdock, C. J. Lee |
| 2020 | CHI | Towards an Automated Writing Assistant for Online Reviews. | Parisa Kaghazgaran, James Caverlee |
| 2020 | CIKM | Social Factors in Closed-Network Content Consumption. | Parisa Kaghazgaran, Maarten W. Bos, Leonardo Neves, Neil Shah |
| 2020 | SIGIR | ADORE: Aspect Dependent Online REview Labeling for Review Generation. | Parisa Kaghazgaran, Jianling Wang, Ruihong Huang, James Caverlee |
| 2019 | CIKM | Wide-Ranging Review Manipulation Attacks: Model, Empirical Study, and Countermeasures. | Parisa Kaghazgaran, Majid Alfifi, James Caverlee |
| 2019 | ICWSM | A Large-Scale Study of ISIS Social Media Strategy: Community Size, Collective Influence, and Behavioral Impact. | Majid Alfifi, Parisa Kaghazgaran, James Caverlee, Fred Morstatter |
| 2019 | ICWSM | TOmCAT: Target-Oriented Crowd Review Attacks and Countermeasures. | Parisa Kaghazgaran, Majid Alfifi, James Caverlee |
| 2018 | WSDM | Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach. | Parisa Kaghazgaran, James Caverlee, Anna Cinzia Squicciarini |
| 2017 | ICWSM | Behavioral Analysis of Review Fraud: Linking Malicious Crowdsourcing to Amazon and Beyond. | Parisa Kaghazgaran, James Caverlee, Majid Alfifi |
| 2017 | SIGIR | Crowdsourced App Review Manipulation. | Shanshan Li, James Caverlee, Wei Niu, Parisa Kaghazgaran |