活動

2023年5月16日

09:30-11:00 (UTC+8, HKT)

Webinar

Prof. Jennifer Pan

Jennifer Pan is a Professor of Communication at Stanford University. Her research resides at the intersection of political communication, authoritarian politics, and computational social science. Her work has appeared in peer-reviewed publications such as Science, the American Political Science Review, the American Journal of Political Science, and Journal of Politics.

In this talk, we examine whether and how information flows across national borders. By developing a semi-automated system that combines deep learning and human annotation to find co-occurring content across different social media platforms and languages, we identify inflows of information from the global information ecosystem into China. We find that approximately one-fourth of content with relevance for China that gains widespread public attention on Twitter makes its way to Weibo. Traditional media outlets play a dominant role in facilitating these inflows of information, but Weibo users without institutional affiliations are also an important mechanism for transmitting information into China.

For details: https://linktr.ee/cssl_cuhk