Shawn Walker is an Assistant Professor in the School of Social and Behavioral Sciences in the New College at Arizona State University. He received his PhD and M.S. in Information Science from the University of Washington Information School and degrees in International Studies, and Liberal Studies, with a focus on public policy and technology, from Northern Kentucky University.
His research focuses on two complementary areas: 1) new forms of political participation emerging on social media platforms and 2) the related challenges of collecting, analyzing, and working with data from these platforms. This work examines how new forms of political participation emerge on social media platforms through the analysis of social media posts surrounding social movements, protests, and elections. His work on social media methods addresses gaps in our understanding about social media data, collection methods, and the implications (ethics, representation, etc.) of using those methods.
PhD, University of Washington Information School
MS Information Science, University of Washington Information School
MA Liberal Studies (technology and public policy), Northern Kentucky University
BA, International Studies, Northern Kentucky University
Driscoll, K., Walker, S. (2014). Big Data, Big Questions| Working Within a Black Box: Transparency in the Collection and Production of Big Twitter Data. International Journal Of Communication, 8, 20.
Bennett, W. L., Segerberg, A., Walker, S. (2014). Organization in the crowd: peer production in large-scale networked protests. Information, Communication Society, 17(2), 232–260. doi:10.1080/1369118X.2013.870379.
Agarwal, S. D., Bennett, W. L., Johnson, C. N., Walker, S. (2014). A Model of Crowd Enabled Organization: Theory and Methods for Understanding the Role of Twitter in the Occupy Protests. International Journal of Communication, 8(0), 27.
Nahon, K., Hemsley, J., Walker, S. Hussain, M. (2011). Fifteen Minutes of Fame: The Power of Blogs in the Lifecycle of Viral Political Information. Policy Internet, 3, 1–28. doi: 10.2202/1944-2866.1108.