Anti-intellectualism on Social Media During COVID-19

Two years ago, the Confucius Institute at Geneva University launched a new lecture series called "China Tomorrow" 未来中国. The presentations are multidisciplinary and focus on the future of China. Each lecture is streamed online and features a Chinese speaker and a Western discussant, or vice versa. If you would like to receive alerts on upcoming sessions, send an email to ic(at)unige.ch with the subject line "China Tomorrow".

We are pleased to welcome you to the next lecture of this series :

« Anti-intellectualism on Social Media during COVID-19 »
July 11, 12:15 to 13:45.

Lecturer :
CHEN Yingying, Assistant Professor, Renmin University of China

Discussants :
Steven J. BARELA, Senior Research Fellow, UNIGE
Danisha DECIUS, Master IHDS, UNIGE
Da PENG, Master in Socio-Economics, UNIGE
Peiyuan SUN, Master IHDS, UNIGE

Prof. CHEN Yingying will present her research employing topic modeling and supervised machine learning to focus on anti-Fauci tweets, revealing themes of people-scientist antagonism and delegitimization of scientists' motivations and knowledge. The findings highlight significant implications for public trust in scientists and the challenges of effective science communication.

CHEN Yingying is a distinguished lecturer and researcher with extensive expertise in International News Communication and Computational Social Science Methods. With a PhD in Information and Media from Michigan State University and multiple advanced degrees from esteemed institutions like Northwestern University and Tsinghua University, Dr. Chen brings a wealth of knowledge and experience to our conference. She also has significant media experience, having worked as a reporter for Xinhua News Agency's foreign department and served as the chief correspondent at Xinhua's Nairobi bureau.

This conference will take place online, on zoom.
On July 11, please click the link below to join the webinar:
https://unige.zoom.us/j/62815876478?pwd=W0kuhpQNbCAaCiIIjVIiO_FtZ47lnA.q09xNWkkego5Cwsg 
Zoom ID: 628 1587 6478
Passcode: 147625