Jianing Li is a PhD candidate in the School of Journalism and Mass Communication at the University of Wisconsin-Madison, where she has been a Knight Scholar of Communication and Civic Renewal and a Helen Firstbrook Franklin Wisconsin Distinguished Graduate Fellow. Her research centers on misinformation, social media skepticism, and how social, political, and informational disparities across communities shape people’s understanding of the society we live in.
Her research has examined (1) different types of informedness, including what it means to be misinformed; (2) the effects of corrective messages on knowledge and attitudes; (3) the role of social media skepticism in improving digital literacy and civic competence; and (4) how multi-level dynamics—i.e., interactions between individuals’ identities, news diets, conversations, and inequalities in the broader contexts of the community they live in—shape misperceptions about politics and public health, support for social movements, and democratic governance. Methodologically, she uses experiments (quasi-experiment, web-based dynamic experiment), computational methods (natural language processing, machine learning, network mapping), large-scale panel surveys, mixed-methods approaches, and the integration of textual, behavioral, and/or social geographical data. Li’s work has appeared in peer-reviewed journals including Journal of Communication, Political Communication, Mass Communication and Society, and Social Media + Society.
Li’s research has been funded by the Social Science Research Council, the International Fact-Checking Network, and the Knight Foundation, and has received top awards from the International Communication Association and the Association for Education in Journalism and Mass Communication. She received her B.A. in Journalism from Peking University, and her M.A. in Journalism and Mass Communication from the University of Wisconsin-Madison.
Jianing Li’s personal website: https://jianingli.org/
Google Scholar: https://scholar.google.com/citations?user=2tjHRqUAAAAJ&hl=en