Annie Y. Chen

Annie Y. Chen

Data Scientist

Institute for State and Local Governance

Hi! I am a Data Scientist at the CUNY Institute for State and Local Governance supporting work on the Safety and Justice Challenge and the NYPD Reform initiative. I was a Bright Line Watch Fellow and Research Associate at Dartmouth College in the Department of Quantitative Social Science. I graduated with a Master’s degree in Political Science from McGill University in Montréal, Canada, where I was a member of the Centre for the Study of Democratic Citizenship. I like wrestling with social science questions using a combination of experimental and quasi-experimental techniques.

Interests

  • Criminal justice reform
  • Online information consumption
  • Voting systems and voting behavior
  • Causal inference

Education

  • MA in Political Science, 2020

    McGill University

  • BA in Political Science; Criminology, 2017

    University of Toronto

Research

(Forthcoming Journal of Experimental Politics) Discriminatory Immigration Bans Elicit Anti-Americanism in Targeted Communities: Evidence from Nigerian Expatriates

Do discriminatory U.S. immigration policies affect foreign public opinion about Americans? When examining negative reactions to U.S. actions perceived as bullying on the world stage, existing research has focused either on U.S. policies that involve direct foreign military intervention or seek to influence foreign countries’ domestic economic policy or policies advocating minority representation. We argue that U.S. immigration policies—especially when they are perceived as discriminatory—can similarly generate anti-American sentiment. Using data from a conjoint experiment embedded in a unique survey of Nigerian expatriates in Ghana in the field before and after President Trump surprisingly announced a ban on Nigerian immigration to the United States, we estimate a large 13 percentage point drop in Nigerian subjects’ favorability towards American citizens.

Exposure to Alternative & Extremist Content on YouTube

How harmful is YouTube? Critics worry that it plays an outsized role among technology platforms in exposing people to hateful or extreme ideas, while the platform claims to have substantially reduced the reach of what it calls “borderline content and harmful misinformation.”1 However, little is publicly known about who watches potentially harmful videos on YouTube, how much they watch, or the role of the site’s recommendations in promoting those videos to users. To answer these questions, we collected comprehensive behavioral data measuring YouTube video and recommendation exposure among a diverse group of survey participants. Using browser history and activity data, we examined exposure to extremist and white supremacist YouTube channels as well as to “alternative” channels that can serve as gateways to more extreme forms of content…

Partisanship, Personalisation of Politics, and Incumbency in Australia

What are the electoral advantages of current officeholders in a highly partisan environment? To answer this question, I evaluate overall incumbency effects and personal incumbency effects in Australian elections and find that incumbent parties receive a small boost in vote shares on average, but that this effect is asymmetric between parties in federal elections. By contrast, incumbent legislators who barely win an election tend to receive the same or even fewer votes than non-incumbents in the next election. I also find no evidence that incumbency advantages have increased over time in the face of eroding partisanship in Australia. These results suggest that party ties in Australia remain a salient feature of its political landscape despite the personalisation of politics.