Big Data and Political Communication: A Partnership to Study Racialized Media Coverage in the 2018 Midterm Elections

Posted: 13 Nov 2018

Date Written: November 13, 2018

Abstract

Partnering with a data science organization, we set out to examine the ways that local media covered candidates of color in the 2018 midterm elections. This presentation elaborates on the details of the partnership, including discussion of the myriad issues that needed to be considered in collecting such a wide-ranging and large set of data. We offer preliminary results of the way that racial stereotypes were present in the coverage of candidates of color as compared to white candidates. Additionally, we reflect on how large datasets like the one we rely on for this study help to yield greater insights about these issues compared to more traditional studies limited to smaller sample data.

Keywords: elections, campaigns, race, ethnicity, politics, government, political communication

Suggested Citation

Caliendo, Stephen M. and McIlwain, Charlton D., Big Data and Political Communication: A Partnership to Study Racialized Media Coverage in the 2018 Midterm Elections (November 13, 2018). 2019 National Conference of Black Political Scientists (NCOBPS) Annual Meeting, Available at SSRN: https://ssrn.com/abstract=3283530

Stephen M. Caliendo (Contact Author)

North Central College ( email )

30 N. Brainard Street
Naperville, IL 60540
United States
6306375344 (Phone)

Charlton D. McIlwain

New York University (NYU) ( email )

Bobst Library, E-resource Acquisitions
20 Cooper Square 3rd Floor
New York, NY 10003-711
United States

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