Yoo, D.W., Woo, H., Nguyen, V.C., Birnbaum, M.L., Kruzan, K.P., Kim, J.G., Abowd, G.D. and De Choudhury, M. (2024). Patient Perspectives on AI-Driven Predictions of Schizophrenia Relapses: Understanding Concerns and Opportunities for Self-Care and Treatment. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (pp. 1-20). [ link ]

Yoo, D. W., Woo, H., Pendse, S. R., Lu, N. Y., Birnbaum, M. L., Abowd, G. D., & De Choudhury, M. (2024). Missed opportunities for human-centered AI research: Understanding stakeholder collaboration in mental health AI research. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1), 1-24. [ link ]

Swain, V. D., Ye, J., Ramesh, S. K., Mondal, A., Abowd, G. D., & De Choudhury, M. (2024). Leveraging Social Media to Predict COVID-19–Induced Disruptions to Mental Well-Being Among University Students: Modeling Study. JMIR Formative Research, 8(1), e52316. [ link ]

Kim, S., Razi, A., Alsoubai, A., Wisniewski, P. J., & De Choudhury, M. (2024). Assessing the Impact of Online Harassment on Youth Mental Health in Private Networked Spaces. In Proceedings of the International AAAI Conference on Web and Social Media (Vol. 18, pp. 826-838). [ link ]

Razi, A., Seberger, J. S., Alsoubai, A., Naher, N., De Choudhury, M., & Wisniewski, P. J. (2024). Toward Trauma-Informed Research Practices with Youth in HCI: Caring for Participants and Research Assistants When Studying Sensitive Topics. Proceedings of the ACM on human-computer interaction, 8(CSCW1), 1-31. [ link ]

Ali, N. S., Qadir, S., Alsoubai, A., De Choudhury, M., Razi, A., & Wisniewski, P. J. (2024). "I'm gonna KMS": From Imminent Risk to Youth Joking about Suicide and Self-Harm via Social Media. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (pp. 1-18). [ link ]

Alsoubai, A., Razi, A., Agha, Z., Ali, S., Stringhini, G., De Choudhury, M., & Wisniewski, P. J. (2024). Profiling the offline and online risk experiences of youth to develop targeted interventions for online safety. Proceedings of the ACM on human-computer interaction, 8(CSCW1), 1-37. [ link ]

Razi, A., Alsoubai, A., Kim, S., Ali, S., Stringhini, G., De Choudhury, M., & Wisniewski, P. J. (2023). Sliding into my dms: Detecting uncomfortable or unsafe sexual risk experiences within instagram direct messages grounded in the perspective of youth. Proceedings of the ACM on human-computer interaction, 7(CSCW1), 1-29. [ link ]

Ali, S., Razi, A., Kim, S., Alsoubai, A., Ling, C., De Choudhury, M., Wisniewski, P.J. and Stringhini, G. (2023). Getting meta: a multimodal approach for detecting unsafe conversations within instagram direct messages of youth. Proceedings of the ACM on human-computer interaction, 7(CSCW1), pp.1-30. [ link ]

Nguyen, V. C., Lu, N., Kane, J. M., Birnbaum, M. L., & De Choudhury, M. (2022). Cross-platform detection of psychiatric hospitalization via social media data: comparison study. JMIR Mental Health, 9(12), e39747. [ link ]

Razi, A., AlSoubai, A., Kim, S., Naher, N., Ali, S., Stringhini, G., De Choudhury, M. and Wisniewski, P.J. (2022). Instagram data donation: a case study on collecting ecologically valid social media data for the purpose of adolescent online risk detection. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (pp. 1-9). [ link ]

Ali, S., Razi, A., Kim, S., Alsoubai, A., Gracie, J., De Choudhury, M., Wisniewski, P.J. and Stringhini, G. (2022). Understanding the digital lives of youth: Analyzing media shared within safe versus unsafe private conversations on Instagram. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (pp. 1-14). [ link ]

Ernala, S. K., Kashiparekh, K. H., Bolous, A., Ali, A., Kane, J. M., Birnbaum, M. L., & De Choudhury, M. (2021). A social media study on mental health status transitions surrounding psychiatric hospitalizations. Proceedings of the ACM on Human-computer Interaction, 5(CSCW1), 1-32. [ link ]

Birnbaum, M.L., Wen, H., Van Meter, A., Ernala, S.K., Rizvi, A.F., Arenare, E., Estrin, D., De Choudhury, M. and Kane, J.M. (2020). Identifying emerging mental illness utilizing search engine activity: a feasibility study. PLoS One, 15(10), p.e0240820. [ link ]

Birnbaum, M.L., Kulkarni, P.P., Van Meter, A., Chen, V., Rizvi, A.F., Arenare, E., De Choudhury, M. and Kane, J.M. (2020). Utilizing machine learning on internet search activity to support the diagnostic process and relapse detection in young individuals with early psychosis: feasibility study. JMIR Mental Health, 7(9), p.e19348. [ link ]

Ernala, S. K., Birnbaum, M. L., Candan, K. A., Rizvi, A. F., Sterling, W. A., Kane, J. M., & De Choudhury, M. (2019). Methodological gaps in predicting mental health states from social media: Triangulating diagnostic signals. In Proceedings of the 2019 chi conference on human factors in computing systems (pp. 1-16). [ link ]

Birnbaum, M. L., Ernala, S. K., Rizvi, A. F., Arenare, E., R. Van Meter, A., De Choudhury, M., & Kane, J. M. (2019). Detecting relapse in youth with psychotic disorders utilizing patient-generated and patient-contributed digital data from Facebook. NPJ schizophrenia, 5(1), 17. [ link ]