Selling anger

49 Pages Posted: 7 May 2024 Last revised: 4 Feb 2025

See all articles by Diego Garcia

Diego Garcia

University of Colorado at Boulder - Leeds School of Business

Ryan Lewis

University of Colorado, Boulder

Maximilian Rohrer

NHH - Norwegian School of Economics

Date Written: May 3, 2024

Abstract

We develop a new method to quantify media content based on people and their associated Wikipedia topics (e.g. political affiliation, gender, race, etc). We apply our method to the closed caption transcriptions of cable news to uncover a new pattern in media content and polarization: TV networks have been increasingly focusing their limited airtime on the opposing party, while simultaneously exacerbating rhetorical slant. These negative affective behaviors go beyond politicians and include topics such as African Americans and LGBTQ people, where Fox News has accelerated negative coverage relative to CNN and MSNBC. Our findings extend to Fox Business relative to CNBC and Bloomberg TV, the leading business news channels.

Keywords: media, cable news, named entities

JEL Classification: D82, G14

Suggested Citation

Garcia, Diego and Lewis, Ryan and Rohrer, Maximilian, Selling anger (May 3, 2024). Available at SSRN: https://ssrn.com/abstract=4816065 or http://dx.doi.org/10.2139/ssrn.4816065

Diego Garcia (Contact Author)

University of Colorado at Boulder - Leeds School of Business ( email )

Boulder, CO 80309-0419
United States

Ryan Lewis

University of Colorado, Boulder ( email )

Boulder, CO 80309-0419
United States

Maximilian Rohrer

NHH - Norwegian School of Economics ( email )

Helleveien 30
N-5045 Bergen
Norway

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