Hanning Wang

My research interests are in the areas of collective action and social movements, civil resistance and political psychology, with a particular emphasis on the motivational dynamics of political participation. The three main questions driving my research ask: 1) What motivates people to participate in social movements? 2) How do protestors different from each other? 3) How do we understand individuals’ political behavior in the macro socio-political context they are embedded in? To answer these questions, I conduct cross-national comparative studies using quantitative research methods.

In my MA Thesis, I compare abeyant protestors to new protestors and established protestors in their sociodemographic characteristics, motivational dynamics, and patterns of protest participation. Through multilevel analysis of data from protestors in 84 demonstrations in eight European countries, I examine the individual-level, demonstration-level, and country-level factors that account for the unique role of abeyant protestors.

Education & Training

  • University of Pittsburgh, MA, 2020
  • Renmin University of China, BA, 2012

Representative Publications

Zhou, Min and Hanning Wang. 2018. "The Role of Rationality in Motivating Participation in Social Movements: The Case of Anti-Japanese Demonstrations in China." Rationality and Society. 30(1): 155-86.

Zhou, Min and Hanning Wang. 2017. "An Integrative Model of Motivations for Movement Participation: The Case of Anti-Japanese Demonstrations in China." Tsinghua Sociological Review. 07: 6-35. (in Chinese)

Zhou, Min and Hanning Wang. 2017. "Anti-Japanese Sentiment among Chinese University Students: The Influence of Contemporary Nationalist Propaganda." Journal of Current Chinese Affairs. 46(1): 167-85.

Zhou, Min and Hanning Wang. 2016. "Participation in Anti-Japanese Demonstrations in China: Evidence from a Survey on Three Elite Universities in Beijing." Journal of East Asian Studies. 16(3): 391-413.

Research Interests

  • Collective action and social movements
  • Quantitative research methods
  • Digital studies and methods