Research
I'm broadly interested in understanding and designing safer and fairer interactions within algorithm-mediated communication systems (e.g. social media, LLM-based chat). My work leverages methods from natural language processing (NLP), social computing and human computer interaction (HCI). I'm currently particularly excited about the following research directions
- Anti-sociality in Online Communities [COMPASS 2023, CHI VSP 2023, ICLR PML4DC 2022]
- NLP + Health [JMIR MH 2022]
- Human-Centered AI [CHI 2024]
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Patient Perspectives on AI-Driven Predictions of Schizophrenia Relapses: Understanding Concerns and Opportunities for Self-Care and Treatment
Dong Whi Yoo,
Hayoung Woo,
Viet Cuong Nguyen,
Michael L. Birnbaum,
Kaylee Payne Kruzan,
Jennifer G Kim,
Gregory D. Abowd,
Munmun De Choudhury
CHI, 2024
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Hate Speech Detection in Limited Data Contexts using Synthetic Data Generation
Aman Khullar,
Daniel Nkemelu,
Viet Cuong Nguyen,
Michael Best
ACM COMPASS, 2023
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Understanding and Mitigating Mental Health Misinformation on Video Sharing Platforms
Viet Cuong Nguyen,
Michael Birnbaum,
Munmun De Choudhury
CHI Workshop on Building Credibility, Trust, and Safety on Video-Sharing Platforms, 2023
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Cross-Platform Detection of Psychiatric Hospitalization via Social Media Data: Comparison Study
Viet Cuong Nguyen,
Nathaniel Lu,
John M Kane,
Michael L Birnbaum,
Munmun De Choudhury
JMIR Mental Health, 2022
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Why So Inflammatory? Explainability in Automatic Detection of Inflammatory Social Media Users
Viet Cuong Nguyen,
Daniel Nkemelu,
Ankit Mehta,
Michael Best,
ICLR Workshop on Practical Machine Learning for Developing Countries, 2022
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Updates
- January 2024: One paper accepted at CHI 2024
- December 2023: One paper published in ACM JCSS
- August 2023: Started my PhD at Georgia Tech
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