215
Views
2
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH

Spanish-Language Radio and Issue Advertising: Targeting Latinos during the 2018 Elections

Pages 381-395 | Published online: 09 Nov 2020
 

ABSTRACT

This research examines how Spanish radio stations in the United States were used to reach Latinos through non-candidate political (issue) advertising during the midterm election of 2018. Spanish-Language radio is an essential part of the weekly media diet of the Latinos in the U.S. and reaches almost all adults in this demographic. Using an unprecedented and detailed analysis of advertising records from the Federal Communication Commission (FCC)’s political file database, this study analyzes the issues employed by outside groups who were targeting a diverse, but largely underrepresented population demographic. Despite more than 160,000 total political ads representing more than $13 million in spending, the data suggests that radio, as a media platform, was under-utilized by groups targeting Latinos during the 2018 midterm elections, as less than a third of all the Spanish-Language radio stations in the U.S. carried political advertising. This study concludes that interest groups missed an opportunity to maximize political participation among Latinos through targeted appeals on topics like immigration, jobs, education, and housing. Theoretical implications for engaging Latinos in political processes are also discussed.

Disclosure Statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 220.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.