Sono Shah is a senior computational social scientist on Pew Research Center’s Data Labs team. He focuses on the application of computational social science methods to a variety of topics around the center, including race and ethnicity as well as political rhetoric. Shah is a contributing author of studies about how Democrats and Republicans behave on Twitter, how members of congress use social media platforms and others. Before joining the Center, Sono worked as a Center Associate at UC Riverside’s Center for Social Innovation and as a researcher at AAPI Data. He received his doctorate in Political Science from the University of California Riverside. His graduate work explored the role that race and ethnicity play in campaign contributions to congressional candidates. Sono’s academic work includes research on Asian American political attitudes and political behavior, the role of elite rhetoric on attitudes, and civic participation.
Among Asian Americans, U.S.-born children of immigrants are most likely to have hidden part of their heritage
32% of U.S.-born Asian adults have hidden a part of their heritage, compared with 15% of immigrants.