We live in a time period in which more is understood as to the dangers of social media on our psychologies and society, but it has taken quite a toll to get here (and hopefully beyond). Social media data is incredibly easy for big tech companies to analyze and research with, but it is quite difficult for us to do the same. The problem starts with the fact that we do not own our data. In this presentation, I would like to share a bit about my unconventional path to understanding my computational data (and yours), while also sharing what is currently going on within certain circles of social media data research.
Joseph Yun is a research assistant professor of accounting and director of Data Science Research Services at Gies College of Business at the University of Illinois at Urbana-Champaign. He also has affiliations with the Charles H. Sandage Department of Advertising, the National Center for Supercomputing Applications, Illinois Informatics, and the Center for Health Informatics. Yun’s research is primarily focused on novel data science algorithms, user-centric analytics systems, and societal considerations of AI-based advertising and marketing (e.g., privacy, ethics). Yun is also the principal investigator of the Social Media Macroscope, which is an open research environment for social media analytics (socialmediamacroscope.org).