Communication about health disparities in the mass media
Abstract
A variety of scholars have explored the role of communication in reducing, maintaining, and even widening health disparities, but comparatively less attention has focused on the content and effects of communication about health disparities in the mass media. This article aims to summarize the current state of knowledge about these issues by identifying key outcomes and audiences for mass-mediated communication about health disparities, describing what is known about public opinion about health disparities, reviewing selected research on the content and effects of mass-mediated communication about health disparities, and identifying priorities for future research to better understand the role of communication in shaping public support and collective action to reduce health disparities.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Data from prior national surveys indicate that the majority of American adults were unaware of gaps in health between African Americans and whites.
“Data from prior national surveys indicate that the majority of American adults were unaware of gaps in health between African Americans and whites [100].”
From Reducing Racial Inequities in Health: Using What We Already Know to Take Action (2019) · cites this paper as [100]
The existing research on effective strategies for raising awareness of racial inequities in health by using mass media is limited and significant gaps exist in current understanding.
“The existing research on the effective strategies for raising awareness of racial inequities in health by using the mass media is limited and significant gaps exist in our current understanding [100].”
From Reducing Racial Inequities in Health: Using What We Already Know to Take Action (2019) · cites this paper as [100]
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 79 · Cited by 83
- Authors
- Niederdeppe, J., Bigman, C. A., Gonzales, A. L., & Gollust, S. E.
- Affiliations
- Cornell University (US)
- Harvard University (US)
- Indiana University Bloomington (US)
- University of Minnesota (US)
- Venue
- Journal of Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-01-10
- Volume
- 63
- Issue
- 1
- Pages
- 8-30
- ISSN
- 0021-9916 (ISSN-L)
- OpenAlex
- W2116933634
- Semantic Scholar
- cd72fc7fbdf326a2c3797c2004cd390298d33aae
- Cited by
- 83
- References
- 79
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 7 · 2023: 9 · 2022: 11 · 2021: 5 · 2020: 10 · 2019: 9 · 2018: 7 · 2017: 7 · 2016: 4 · 2014: 4 · 2013: 1
- FWCI
- 50.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Communication (publishedVersion)
- Funders
- Robert Wood Johnson Foundation
- National Institute on Minority Health and Health Disparities
- Topics
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Media Influence and Health
- Social Sciences › Communication › Media Studies and Communication
- Social Sciences › Communication › Communication and COVID-19 Impact
- Keywords
- health disparities, mass media, health communication, public opinion, media influence, collective action
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
