If you enjoyed this episode and want to learn more, here are some materials to check out:
Some of Munmun’s Work:
- Ernala, S. K., Birnbaum, M. L., Candan, K., Rizvi, A., Sterling, W. A., Kane, J. M., and 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 (Glasgow, Scotland, May 4-9, 2019). CHI 2019. http://www.munmund.net/pubs/CHI19_MethodGaps.pdf
- Birnbaum, M. L.*, Ernala, S. K.*, Rizvi, A., Arenare, E., Van Meter, A., De Choudhury, M.** and Kane, J. M.** (2019). Detecting Relapse in Youth with Psychotic Disorders Utilizing Patient-Generated and Patient-Contributed Digital Data from Facebook. In Nature Partner Journal – Schizophrenia. npj Schizophrenia. * Co-first authors; ** Co-supervising authors https://www.nature.com/articles/s41537-019-0085-9
- Choi, D., Sumner, S., Holland, K., Draper, J., Murphy, S., Bowen, D., Zwald, M., Wang, J., Law, R., Taylor, J., Konjeti, C., and De Choudhury, M. (2020). Development of a Machine Learning Model Using Multiple, Heterogeneous Data Sources to Estimate Weekly US Suicide Fatalities. JAMA Network Open. 2020;3(12):e2030932. https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2774462
- Chancellor, S., and De Choudhury, M. (2020). Methods in Predictive Techniques for Mental Health Status on Social Media: A Critical Review. In Nature Partner Journal – Digital Medicine. npj Digital Medicine. https://www.nature.com/articles/s41746-020-0233-7
- Saha, K., Torous, J. T., Caine, E. D., and De Choudhury, M. (2020). Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media. In the Journal of Medical Internet Research. JMIR. https://www.jmir.org/2020/11/e22600
- Chancellor, S., Birnbaum, M. L., Caine, E., Silenzio, V., and De Choudhury, M. (2019). A Taxonomy of Ethical Tensions in Inferring Mental Health States from Social Media. In Proceedings of the 2nd ACM Conference on Fairness, Accountability, and Transparency (Atlanta GA, January 29-31, 2019), forthcoming. FAT* 2019. http://www.munmund.net/pubs/FAT*2019_EthicsTaxonomy.pdf
Munmun’s Twitter: @munmun10
Munmun’s Lab: Lab’s Twitter: @SocwebGT
Munmun’s Organization: @gtcomputing