Kecheng Fang (方可成) is a doctoral candidate at the Annenberg School for Communication, University of Pennsylvania. His research interests include digital media, journalism, and political communication, mainly in the Chinese context. He has been working on several projects examining the digital disruption in the information environment in an authoritarian regime, including how China's propaganda machine adapts to digital media and seeks to win hearts and minds both at home and abroad, how users creatively participate in online collective actions, and how media organizations respond to the changes. His dissertation project, supported by the Chiang-ching Kuo Foundation Dissertation Fellowship, uses a novel data-driven approach to investigate the range of ideological perspectives represented in the news media in China.
Before coming to the U.S., Fang worked as a political journalist at Southern Weekly (南方周末) for three years. He has appeared in media including BBC, Financial Times, Foreign Policy, The New Yorker, Politico, BuzzFeed News, Business Insider, Al Jazeera, South China Morning Post, and Radio Netherlands Worldwide, commenting on issues related to news media and Chinese politics.
Fang is also a long-time and active Internet writer and observer, a “best blogger” nominated by Deutsche Welle. In 2011, he founded CNPolitics.org, an independent website committed to introducing academic studies on Chinese politics to the Chinese public. He also maintains a newsletter "NewsLab" for students, researchers, and media professionals in China, which discusses latest trends in global journalism and cutting-edge communication research.
Previously, he studied at Peking University in China and the University of Wisconsin-Madison.
Activism, Communication, and Social Justice
Global and Comparative Communication
Media Institutions and Systems
Center for Advanced Research in Global Communication
Digital Media, Networks, and Political Communication Group
Institute for the Study of Citizens and Politics
Media Activism Research Collective