Munmun De Choudhury
Professor
Uses computational social science and language analysis of social media to reason about mental health and well-being.
Munmun De Choudhury's lab at Georgia Tech works on accessibility, health & wellbeing, social computing & responsible AI and language & society. 76 papers since 2023, 19 at top venues, mostly CSCW and NAACL. 8 PhD students and 15 master's students. 129 alumni. Applications close .
At a glance
- papers, 2023–2026
- 20/ year
- at T1 venues
- 25%
- PhD students
- 8
- MS students
- 15
- alumni listed
- 129
Papers by yearfrom the lab homepage, 2023–2026
- 12 papers2026 · T1 0 · collecting
- 24 papers2025 · T1 8
- 20 papers2024 · T1 5
- 20 papers2023 · T1 6
T1 venuesOtherVenues: CSCW, NAACL, ACL, EMNLP, FAccT
Research focuspaper titles that use each topic's words
- Accessibility, health & wellbeing27 papers
- Social computing & responsible AI19 papers
- social19 papers
- Language & society11 papers
- reason0 papers
Paper list
From the lab homepage.
202612 papers
- In Proceedings of the Conference on Human Factors in Computing Systems. CHI , to appear(Re)mediators of Epistemic Injustice: Generative AI and Hermeneutic Resource Provision in Intimate Partner Violence
- In Proceedings of the International AAAI Conference on Web and Social Media, ICWSM , to appearAdverse Mental Health Events As a Trigger for Online Harassment: Evidence from Online Conversations of Youth Experiencing Psychiatric Hospitalizations
- In Proceedings of the Conference on Human Factors in Computing Systems. CHI , to appearAI as We Describe It: How Large Language Models and Their Applications in Health are Represented Across Channels of Public Discourse
- In Proceedings of the Findings of the Annual Meeting of the Association for Computational Linguistics. ACL , to appearAuditing LLM Responses to Harmful Stereotypes Targeting Mental Health Groups
- BMC AI, to appearCommunication Styles and Reader Preferences of LLM and Human Experts in Explaining Health Information
- npj Digital Public HealthLife events as predictors of mental health outcomes
- Nature partner journal (npj) AI, to appearLinguistic Comparison of AI-and Human-Written Responses to Online Mental Health Queries
- In Proceedings of the Annual Meeting of the Association for Computational Linguistics. ACL , to appearReasoning is not all you need: Examining LLMs for multi-turn mental health conversations
- JMIR Mental HealthTriaging casual from critical: Leveraging machine learning to detect self-harm and suicide risks for youth on social media
- In Proceedings of the Annual Meeting of the Association for Computational Linguistics. ACL , to appearWhat About the Scene with the Hitler Reference? HAUNT: A Framework to Probe LLMs' Self-consistency Via Adversarial Nudge
- Computational Communication ResearchWhen More Shots Don't Help: LLM Sensitivity and Variability in Social Media Annotation and Stance Detection of Health Information
- In Proceedings of the Findings of the Annual Meeting of the Association for Computational Linguistics. ACL , to appearWho's Asking? Simulating Role-Based Questions for Conversational AI Evaluation
202524 papers
- In Proceedings of the International AAAI Conference on Web and Social Media, ICWSM"A Growing Sense of Alienation": Spirals of Silence and Suppression of Structural Circumstances of Suicide in News
- In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, AIESA Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models
- CSCW (T1)A Risk Taxonomy and Reflection Tool for LLM Adoption in Public Health
- Nature Mental Health, 1-10Advancing a consent-forward paradigm for digital mental health data
- CSCW (T1)Breaking Barriers in Remote Client-Therapist Interaction: Exploring Design Spaces of Sensing and Sharing Non-Verbal Cues in Remote Psychotherapy
- NAACL (T1)Do Large Language Models Align with Core Mental Health Counseling Competencies?
- In Proceedings of the Conference on Human Factors in Computing Systems. CHIExploreself: Fostering user-driven exploration and reflection on personal challenges with adaptive guidance by large language models
- npj Artificial Intelligence, 1(1)Exposure to content written by large language models can reduce stigma around opioid use disorder
- In Proceedings of the ACM Conference on Fairness, Accountability, and Transparency. FAccTFrom Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents
- CSCW (T1)Harm in Layers: Misinformation, Narratives, and Targeted Entities in Anti-Asian Hate Speech and Their Impact on Perceived Harmfulness
- The Lancet Digital HealthLarge language models for the mental health community: framework for translating code to care
- In Proceedings of the International AAAI Conference on Web and Social Media. ICWSMLarge-Scale Analysis of Online Questions Related to Opioid Use Disorder on Reddit
202420 papers
- In Proceedings of the CHI Conference on Human Factors in Computing Systems. CHI"I'm gonna KMS": From Imminent Risk to Youth Joking about Suicide and Self-Harm via Social Media
- ACL (T1)A Community-Centric Perspective for Characterizing and Detecting Anti-Asian Violence-Provoking Speech
- CSCW (T1)A Cross Community Comparison of Muting in Conversations of Gendered Violence on Reddit
- In Proceedings of the International AAAI Conference on Web and Social Media. ICWSMAssessing the Impact of Online Harassment on Youth Mental Health in Private Networked Spaces
- In Proceedings of the ACM Web Conference . * Co- authorsBetter to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries
- JMIR Formative ResearchExamining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach
- JMIR Mental Health, to appearFraming of Suicide Circumstances by Gender: Stigmatization and Glorification in News Media
- JMIR Formative Research, 8, p.e44726Identification of Myths and Misinformation About Treatment for Opioid Use Disorder on Social Media: Infodemiology Study
- JMIR Formative Research, to appearLeveraging Social Media to Predict COVID-induced Disruptions to Mental Wellbeing among University Students: Pilot Study
- CSCW (T1)Missed Opportunities for Human-Centered AI Research: Understanding Stakeholder Collaboration in Mental Health AI Research
- In Proceedings of the International AAAI Conference on Web and Social Media. ICWSMNews Media and Violence Against Women: Understanding Framings of Stigma
- In Proceedings of the CHI Conference on Human Factors in Computing Systems. CHIObserver Effect in Social Media Use
202320 papers
- FAccTA Systematic Review of Ethics Disclosures in Predictive Mental Health Research
- In Proceedings of the CHI Conference on Human Factors in Computing Systems. CHIAlgorithmic Power or Punishment: Information Worker Perspectives on Passive Sensing Enabled AI Phenotyping of Performance and Wellbeing
- CSCW (T1)Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI
- CSCW (T1)Discussing Social Media During Psychotherapy Consultations: Patient Narratives and Privacy Implications
- Frontiers in Digital Health - Health Informatics, to appearEmpirical networks for localized COVID-19 interventions using WiFi infrastructure at university campuses
- CSCW (T1)Getting Meta: A Multimodal Approach for Detecting Unsafe Conversations within Instagram Direct Messages of Youth
- JMIR Mental Health, 10, e43253Leveraging Symptom Search Data to Understand Disparities in US Mental Health Care: Demographic Analysis of Search Engine Trace Data
- EPJ Data ScienceLeveraging WiFi network logs to infer student collocation and its relationship with academic performance
- CSCW (T1)Marginalization and the Construction of Mental Illness Narratives Online: Foregrounding Institutions in Technology-Mediated Care
- Trauma, Violence, & Abuse, p.15248380231176062Misogynistic extremism: a scoping review
- JMIR Formative Research, 7(1), p.e47256Models of Gender Dysphoria Using Social Media Data for Use in Technology-Delivered Interventions: Machine Learning and Natural Language Processing Validation Study
- In Proceedings of the CHI Conference on Human Factors in Computing Systems. CHIMoral Framing of Mental Health Discourse and Its Relationship to Stigma: A Comparison of Social Media and News
Where alumni went129 listed
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
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- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS
- Fee
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Not yet confirmed for this intake.
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