26/09/2024 (Thursday) 13:00-14:00 E21B-G002
Decoding the Dynamics of Media Platforms: Two Computational Approaches
Abstract:
This talk will examine the dynamics of media platforms through two research projects employing computational methods. In the first project, a network analysis approach is employed to investigate the citation and co-citation network behind fact-checking content in the United States, revealing the selective way online fact-checkers cites sources. The second project analyzes the value and regulation systems embedded within the public-facing policies (community guidelines) of media platforms through lexical analysis and network analysis. Using digital datasets that are not commonly employed in communication research, the findings of these two projects aims to understand the complexity of media platforms and the impact on their audiences.
Bio:
Chris Chao SU is an Assistant Professor of Emerging Media Studies at the College of Communication and the Faculty of Computing & Data Science, Boston University, USA. His research examines the media platforms and audience consumption online through computational methods and passively measured data. His work has appeared in such journals as Journal of Communication, New Media & Society, The International Journal of Press/Politics, Journalism and Mass Communication Quarterly, Digital Journalism, Information, Communication & Society, among others. He won many awards for his scholarship, including the Michael Pfau Outstanding Article Award and the top student/faculty papers (ICA, AEJMC, NCA, CCA).
