Bias: Friend or Foe? User Acceptance of Gender Stereotypes in Automated Career Recommendations. - Clarice Wang; Kathryn Wang; Andrew Bian; Rashidul Islam; Kamrun Naher Keya; James R. Foulds; Shimei Pan (CoRR, 2021)

Do Humans Prefer Debiased AI Algorithms? A Case Study in Career Recommendation. - Clarice Wang; Kathryn Wang; Andrew Bian; Rashidul Islam; Kamrun Naher Keya; James R. Foulds; Shimei Pan (IUI, 2022)

When Biased Humans Meet Debiased AI: A Case Study in College Major Recommendation. - Clarice Wang; Kathryn Wang; Andrew Bian; Rashidul Islam; Kamrun Naher Keya; James R. Foulds; Shimei Pan (ACM Trans. Interact. Intell. Syst., 2023)

A Labeled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and Other Sources About the 2024 Outbreak of Measles. - Nirmalya Thakur; Vanessa Su; Mingchen Shao; Kesha A. Patel; Hongseok Jeong; Victoria Knieling; Andrew Bian (HCI (64), 2024)

A Labelled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and Other Sources about the 2024 Outbreak of Measles. - Nirmalya Thakur; Vanessa Su; Mingchen Shao; Kesha A. Patel; Hongseok Jeong; Victoria Knieling; Andrew Bian (CoRR, 2024)

A Labelled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and other Sources about the 2024 Outbreak of Measles. - Nirmalya Thakur; Vanessa Su; Mingchen Shao; Kesha A. Patel; Hongseok Jeong; Victoria Knieling; Andrew Bian (IEEE DataPort, 2024)

Dynamics of COVID-19 Misinformation: An Analysis of Conspiracy Theories, Fake Remedies, and False Reports. - Nirmalya Thakur; Mingchen Shao; Victoria Knieling; Vanessa Su; Andrew Bian; Hongseok Jeong (HCI (22), 2025)