I'm a doctoral candidate in Computer Science at the School of Interactive Computing at Georgia Tech. I work in the Social Dynamics and Wellbeing lab and am advised by Munmun De Choudhury. Previously, I was at International Institute of Information Technology Hyderabad, India where I completed my undergraduate and graduate studies in Computer Science with a research specialization in Humanities.
I am broadly interested in Computational Social Science, wherein I apply methods from statistical modeling, machine learning, and natural language processing to study human behavior as manifested on online social systems and derive insights specific to health and wellbeing. My research examines how social media supports clinical and social pathways to care for mental health. Along this exploration, I care deeply about the validity (or invalidity) of online measurements of behavior and the implications of research to all stakeholders involved.
Jan 2020 - I was named a finalist of the Facebook Fellowship this year for the Computational Social Science research area. I'm grateful for the recognition and thankful for all the support.
Dec 2019 - Our paper on evaluating time-on-site survey questions with server log data was accepted at CHI 2020. This was work I did as an intern at Facebook this summer and I am looking forward to sharing recommendations on the most accurate ways to collect time-spent data via surveys. PDF coming soon.
Nov 2019 - I successfully defended my thesis proposal defense and I'm now a PhD candidate. Yay! I am grateful for my amazing committee members and I'm looking forward to conduct my dissertation research on the intersection of clinical and social care for mental health.
- Ernala, S. K., Burke, M., Leavitt, A., and Ellison, N. (2020). How Well Do People Report Time Spent on Facebook? An Evaluation of Established Survey Questions with Recommendations. ACM Conference on Human Factors in Computing Systems. CHI 2020. PDF
- Saha, K., Ernala, S. K., Dutta, S., Sharma, E., and De Choudhury, M. (2020) Understanding Moderation in Online Mental Health Communities. To Appear In 22nd International Conference on Human-Computer Interaction. HCII 2020. 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 Journals - Schizophrenia. npj Schizophrenia. * Co-first authors; ** Co-supervising authors link
- Saha, K., Torous, J., Ernala, S.K. , Rizuto, C., Stafford, A., and De Choudhury, M. (2019). A Computational Study of Mental Health Awareness Campaigns on Social Media. In Translational Behavioral Medicine (TBM). link
- Ernala, S. K., Birnbaum, M., Candan, K., Rizvi, A., Sterling, W., Kane, J., and De Choudhury, M. (2018). Methodological Gaps in Predicting Mental Health States from Social Media: Triangulating Diagnostic Signals. ACM Conference on Human Factors in Computing Systems. CHI 2019. PDF
- Birnbaum, M., Rizvi, A., De Choudhury, M., Ernala, S. K., Cecchi, G., and Kane, J. (2018). Identifying Psychotic Symptoms and Predicting Relapse Through Social Media. Schizophrenia Bulletin, 44 (Suppl 1), S100. link
- Ernala, S. K., Labetoulle, T., Bane, F., Birnbaum, M., Rizvi, A., Kane, J., and De Choudhury, M. (2018). Characterizing Audience Engagement and Assessing its Impact on Social Media Disclosures of Mental Illnesses. International AAAI Conference on Web and Social Media ICWSM 2018. PDF Additional Materials
- Ernala, S. K., Rizvi, A., Birnbaum, M., Kane, J., and De Choudhury, M. (2018). Linguistic Markers Indicating Therapeutic Outcomes of Social Media Disclosures of Schizophrenia. ACM Conference on Computer-Supported CooperativeWork and Social Computing (New York, NY November 3-7, 2018). CSCW 2018 Online First. PDF
- Birnbaum, M., Ernala, S. K., Rizvi, A., De Choudhury, M. and Kane, J. (2017). A Collaborative Approach to Identifying Social Media Markers of Schizophrenia by Employing Machine Learning and Clinical Appraisals. In Journal of Medical Internet Research (JMIR). link
- Ernala, S. K.*, Sharma, E.*, Saha, K.*, Ghoshal, S.*, and De Choudhury, M. (2017). Analyzing Ideological Discourse on Social Media: A Case Study of the Abortion Debate. CSSA's Annual Conference on Computational Social Science. CSS 2017. PDF
- Banerjee, J., Raravi, G., Gupta, M., Ernala, S. K., Kunde, S., and Dasgupta, K. (2016). "CAPReS: Context Aware Persona Based Recommendation for Shoppers". In AAAI Conference on Artificial Intelligence, North America. AAAI 2016. PDF
- Ernala, S. K., Poddar, S., and Singh, N. (2016) PACMAN: Psycho and Computational Framework of an Individual (Man). In Proceedings of the Language Resources and Evaluation Conference Workshop on Emotion and Sentiment Analysis. LREC 2016.PDF
- Ernala, S. K., Poddar, S., Singh, N., and Samvara, A. (2016). Towards a Ubiquitous Model of an Individual in Social Machines. In Proceedings of the 25th International Conference Companion on World Wide Web. WWW 2016.PDF
- Asooja, K., Ernala, S. K., and Buitelaar, P. UNLP at the MediaEval 2015 C@merata Task. In MediaEval 2015 Workshop, Wurzen, Germany.PDF
- Asooja, K., Ernala, S. K., and Buitelaar, P. UNLP at the MediaEval 2014 C@merata Task. In MediaEval 2014 Workshop, Barcelona, Spain.PDF