How Information Flows from the World to China


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.


Prof. Jennifer Pan

Professor of Communication

Stanford University

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