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Research Spotlight
Let the Public Govern AI
By using the tools of deliberative democracy, Alice Siu says everyday users, not just industry moguls, can and should contribute meaningfully to important decisions about technology governance.
Fabricated Justice: How Due Process Reform Enables Evidence Manipulation
Using evidence from Mexico, Beatriz Magaloni and Esteban Salmón examine when and how abusive criminal justice practices persist under democracy, even after significant institutional reform.
Political Parties Are Essential Democratic Institutions
Didi Kuo explains why — despite their shortcomings — strong political parties with roots in society are essential to long-term democratic stability and economic growth.
Report prepared by the Deliberative Democracy Lab at Stanford University, housed within the Center on Democracy, Development and the Rule of Law at the Freeman Spogli Institute for International Studies
We study the effect of a victimization narrative on national identity and public opinion in China experimentally. Previous research has suggested that governments can shape public opinion by guiding citizens’ collective memories of historical events, but few studies have established a clear causal link. By conducting an online survey experiment among 1890 urban Chinese citizens, we examine the causal impact of historical narratives on political attitudes. We find that, compared to control conditions, a narrative focusing on China’s humiliating past in the late Qing significantly reinforces respondents’ attachment to the victim side of the Chinese national identity, raises suspicion of the intention of foreign governments in international disputes, stimulates preference for more hawkish foreign policies, and strengthens support for China’s current political system. These effects are particularly strong among respondents without a college degree.
The International Journal of Press/Politics,
August 8, 2022
Government censorship—internet shutdowns, blockages, firewalls—impose significant barriers to the transnational flow of information despite the connective power of digital technologies. In this paper, we examine whether and how information flows across borders despite government censorship. We develop a semi-automated system that combines deep learning and human annotation to find co-occurring content across different social media platforms and languages. We use this system to detect co-occurring content between Twitter and Sina Weibo as Covid-19 spread globally, and we conduct in-depth investigations of co-occurring content to identify those that constitute an inflow 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. Unsurprisingly, Chinese state-controlled media and commercialized domestic media play a dominant role in facilitating these inflows of information. However, we find that Weibo users without traditional media or government affiliations are also an important mechanism for transmitting information into China. These results imply that while censorship combined with media control provide substantial leeway for the government to set the agenda, social media provides opportunities for non-institutional actors to influence the information environment. Methodologically, the system we develop offers a new approach for the quantitative analysis of cross-platform and cross-lingual communication.
A study examining the BRI through the lens of the obsolescing bargain to evaluate the practices of China’s state-owned enterprises (SOEs) and policy banks in mitigating political risk.
Repression research examines the causes and consequences of actions or policies that are meant to, or actually do, raise the costs of activism, protest, and/or social movement activity. The rise of digital and social media has brought substantial increases in attention to the repression of digital activists and movements and/or to the use of digital tools in repression, which is spread across many disciplines and areas of study. We organize and review this growing welter of research under the concept of digital repression by expanding a typology that distinguishes actions based on actor type, whether actions are overt or covert, and whether behaviors are shaped by coercion or channeling. This delineation between broadly different forms of digital repression allows researchers to develop expectations about digital repression, better understand what is “new” about digital repression in terms of explanatory factors, and better understand the consequences of digital repression.
In Strategy in the Contemporary World, edited by John Baylis, James J. Wirtz, and Jeannie L. Johnson, Oriana Skylar Mastro examines the evolution of Chinese grand strategy from Mao Zedong to Xi Jinping, its drivers, and its implications.