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Predicting Individual Well-Being Through the Language of Social Media., , , , , , , , , and 3 other author(s). PSB, page 516-527. (2016)Toward Personality Insights from Language Exploration in Social Media., , , , , , , , and . AAAI Spring Symposium: Analyzing Microtext, volume SS-13-01 of AAAI Technical Report, AAAI, (2013)Testing Ageing Theory among Later Middle-aged and Older Users Using Social Media., , , and . CSCW Companion, page 247-250. ACM, (2017)Inferring the demographics of search users: social data meets search queries., , , and . WWW, page 131-140. International World Wide Web Conferences Steering Committee / ACM, (2013)Tracking the Digital Footprints of Personality., and . Proc. IEEE, 102 (12): 1934-1939 (2014)Predicting self-monitoring skills using textual posts on Facebook., , , , and . Comput. Hum. Behav., (2014)Values in Words: Using Language to Evaluate and Understand Personal Values., , , , , and . ICWSM, page 31-40. AAAI Press, (2015)Evaluating Language Model Agency Through Negotiations., , , and . ICLR, OpenReview.net, (2024)Theory of Mind May Have Spontaneously Emerged in Large Language Models.. CoRR, (2023)Do Facebook Status Updates Reflect Subjective Well-Being?, , , , and . Cyberpsychology, behavior and social networking, 18 (7): 373--379 (July 2015)