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Characterizing Geographic Variation in Well-Being Using Tweets., , , , , , , , , and 1 other author(s). ICWSM, The AAAI Press, (2013)Predicting Dark Triad Personality Traits from Twitter Usage and a Linguistic Analysis of Tweets., , , and . ICMLA (2), page 386-393. IEEE, (2012)978-1-4673-4651-1.Predicting Individual Well-Being Through the Language of Social Media., , , , , , , , , and 3 other author(s). PSB, page 516-527. (2016)When Less is More: Effects of Grade Skipping on Adult STEM Accomplishments among Mathematically Precocious Adolescents.. Vanderbilt University, Nashville, Tennessee, USA, (2011)base-search.net (ftvanderbilt:oai:ir.vanderbilt.edu:1803/12397).Extracting Human Temporal Orientation from Facebook Language., , , , , , , , , and 1 other author(s). HLT-NAACL, page 409-419. The Association for Computational Linguistics, (2015)Towards Assessing Changes in Degree of Depression through Facebook., , , , , , , and . CLPsych@ACL, page 118-125. Association for Computational Linguistics, (2014)Developing Age and Gender Predictive Lexica over Social Media., , , , , , , and . EMNLP, page 1146-1151. ACL, (2014)