Stony Brook University
The Power of Big Social Media Data
Wednesday, September 6, 2017
Anita Tuvin Schlechter Auditorium, 7 p.m.
Schwartz will focus on what large-scale social media data can reveal about the users generating it and how this is changing social science.
The event is sponsored by the Clarke Forum for Contemporary Issues and co-sponsored by the Department of Mathematics & Computer Science and the Department of American Studies. It is also part of the Clarke Forum’s semester theme, Big Data.
Biography (provided by the speaker)
H. Andrew Schwartz is an assistant professor of computer science at Stony Brook University (SUNY), where he runs the HLAB: Human Language Analysis Beings, and teaches courses in data science. His interdisciplinary research focuses on large and scalable language analyses for health and social sciences. Utilizing natural language processing and machine learning techniques he seeks to discover new behavioral and psychological factors of health and well-being as manifest through language in social media. He received his Ph.D. in computer science from the University of Central Florida in 2011 with research on acquiring lexical semantic knowledge from the Web, and he was previously a visiting assistant professor at the University of Pennsylvania and lead research scientist for the World Well-Being Project, a multi-disciplinary team of computer, health, and social scientists seeking to measure and advance our understanding of human well-being using big data. His work has been featured in The New York Times, Wired, and The Washington Post.
Related Links
Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach
Transparency and Trust — Online Patient Reviews of Physicians
Twitter Can Predict Rates of Coronary Heart Disease, According to Penn Research
Video of the Lecture