Research Day showcases the contributions of the iSchool students and faculty working at the intersections of archival, information, library and children’s literature studies.
Questions about social media as sources of information about individuals (of different ages, genders, backgrounds) and communities, their uses in our personal and professional lives, and impact on our practices and overall well-being are central to the work of students and scholars across all our iSchool programs. Recognizing this common ground, this year’s Research Day will focus on the broad topic of “information, social media, and well-being,” considering the many connections social media now have with the way we do information, library, and archival studies.
This event happened on March 10, 2017.
Speaker:
Lyle Ungar, Professor of Computer And Information Science, University of Pennsylvania
Dr. Lyle Ungar is a Professor of Computer and Information Science at the University of Pennsylvania, where he also holds appointments in multiple departments in the Schools of Business, Medicine, Arts and Sciences, and Engineering and Applied Science. Lyle received a B.S. from Stanford University and a Ph.D. from M.I.T. He has published over 200 articles, supervised two dozen PhD students, and is co-inventor on eleven patents. His current research focuses on developing scalable machine learning methods for data mining and text mining, including spectral methods for NLP, and analysis of social media to better understand the drivers of physical and mental well-being.
“Social media such as Twitter and Facebook provide a rich, if imperfect portal onto people’s lives. We analyze tens of millions of Facebook posts and billions of tweets to study variation in language use with age, gender, personality, and mental and physical well-being. Word clouds visually illustrate the big five personality traits (e.g., “What is it like to be neurotic?”), while correlations between language use and county level health data suggest connections between health and happiness, including potential psychological causes of heart disease.”
Select Books and Articles Available at UBC Library
Smith, R. J., Crutchley, P., Schwartz, H. A., Ungar, L., Shofer, F., Padrez, K. A., & Merchant, R. M. (2017). Variations in Facebook Posting Patterns Across Validated Patient Health Conditions: A Prospective Cohort Study. Journal of Medical Internet Research, 19(1), e7. [Link]
Carpenter, J., Preotiuc-Pietro, D., Flekova, L., Giorgi, S., Hagan, C., Kern, M. L., … & Seligman, M. E. (2016). Real Men Don’t Say “Cute” Using Automatic Language Analysis to Isolate Inaccurate Aspects of Stereotypes. Social Psychological and Personality Science, 1948550616671998. [Link]
Kern, M. L., Park, G., Eichstaedt, J. C., Schwartz, H. A., Sap, M., Smith, L. K., & Ungar, L. H. (2016). Gaining insights from social media language: Methodologies and challenges. [Link]
Sinnenberg, L., DiSilvestro, C. L., Mancheno, C., Dailey, K., Tufts, C., Buttenheim, A. M., … & Asch, D. A. (2016). Twitter as a Potential Data Source for Cardiovascular Disease Research. Jama cardiology, 1(9), 1032-1036. [Link]
Carpenter, J., Preotiuc-Pietro, D., Flekova, L., Giorgi, S., Hagan, C., Kern, M. L., … & Seligman, M. E. (2016). Real Men Don’t Say “Cute” Using Automatic Language Analysis to Isolate Inaccurate Aspects of Stereotypes. Social Psychological and Personality Science, 1948550616671998. [Link]
Brooks, S. (05/01/2015). Computers in human behavior: Does personal social media usage affect efficiency and well-being? Elsevier. doi:10.1016/j.chb.2014.12.053 [Link]
Gerson, J., Plagnol, A. C., & Corr, P. J. (10/01/2016). Computers in human behavior: Subjective well-being and social media use: Do personality traits moderate the impact of social comparison on facebook? Elsevier. doi:10.1016/j.chb.2016.06.023 [Link]
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