- Bhatia, S., Walasek, L., Slovic, P., & Kunreuther, H. (2021). The more who die, the less we care: Evidence from natural language analysis of online news articles and social media posts. Risk Analysis, 41(1), 179-203. [pdf]
- Vu, H. Abdurahman, S., Bhatia, S., & Ungar, L. (2020). Predicting responses to psychological questionnaires from participants’ social media posts and question text embeddings. Findings of ACL: EMNLP 2020. [pdf]
- Gallus, J. & Bhatia, S. (2020). Gender, power and emotions in the collaborative production of knowledge: A large-scale analysis of Wikipedia editor conversations. Organizational Behavior and Human Decision Processes. 160. 115-130. [pdf]
- Bhatia, S. Walasek, L., & Mellers, B. (2019). Affective responses to uncertain real-world outcomes: Sentiment change on Twitter. PLOS One, 14(2):e0212489. [pdf]
- Sirota, M., Juanchich, M., Petrova, D., Garcia-Retamero, R., Walasek, L., & Bhatia, S. (2018). Health professionals prefer to communicate risk-related numerical information using ‘1-in-X’ ratios. Medical Decision Making, 38(3), 366-376. [pdf]
- Walasek, L., Bhatia, S. & Brown, G. (2018). Positional goods and the social rank hypothesis: Income inequality affects online chatter about high and low status brands on Twitter. Journal of Consumer Psychology, 28(1), 138-148. [pdf]
- McCaig, D., Bhatia, S., Elliot, M., Walasek, L., & Meyer, C. (2018). Text-mining as a methodology to assess eating disorder-relevant factors: Comparing mentions of fitness tracking technology across online communities. International Journal of Eating Disorders, 51(7), 647-655. [pdf]
- Bhatia, S. & Walasek, L. (2016). Event construal and temporal distance in natural language. Cognition, 152(6), 1-8. [pdf]
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