Evidence map›Paper›PMID 36833925›Full record

ArticleInternational journal of environmental research and public health2023

Examining Exposure to Messaging, Content, and Hate Speech from Partisan News Social Media Posts on Racial and Ethnic Health Disparities.

Thu T Nguyen, Weijun Yu, Junaid S Merchant, Shaniece Criss, Chris J Kennedy, Heran Mane, Krishik N Gowda, Melanie Kim, Ritu Belani, Caitlin F Blanco and 6 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 1 country.

Thu T NguyenDepartment of Epidemiology & Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA.ORCID 0000-0003-1185-045X
Weijun YuDepartment of Epidemiology & Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA.ORCID 0000-0002-0771-5581
Junaid S MerchantDepartment of Epidemiology & Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA.ORCID 0000-0002-4315-6211
Shaniece CrissDepartment of Health Sciences, Furman University, Greenville, SC 29613, USA.ORCID 0000-0002-2470-5377
Chris J KennedyDepartment of Psychiatry, Harvard Medical School, Boston, MA 02114, USA.ORCID 0000-0001-7444-2766
Heran ManeDepartment of Epidemiology & Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA.
Krishik N GowdaDepartment of Epidemiology & Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA.
Melanie KimDepartment of Anthropology, Brown University, Providence, RI 02912, USA.
Ritu BelaniDepartment of Epidemiology & Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA.ORCID 0000-0001-7645-4250
Caitlin F BlancoDepartment of Epidemiology & Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA.ORCID 0000-0002-5183-4326
Manvitha KalachagariDepartment of Epidemiology & Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA.
Xiaohe YueDepartment of Epidemiology & Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA.
Vanessa V VolpeDepartment of Psychology, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0000-0002-0679-1160
Amani M AllenDivisions of Community Health Sciences and Epidemiology, University of California, Berkeley, CA 94704, USA.
Yulin HswenDepartment of Epidemiology and Biostatistics, Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA 94143, USA.
Quynh C NguyenDepartment of Epidemiology & Biostatistics, University of Maryland School of Public Health, College Park, MD 20742, USA.ORCID 0000-0003-4745-6681
University of Maryland, College Park · USBrown University · USFurman University · USHarvard University · USNorth Carolina State University · USUniversity of California, Berkeley · USUniversity of California, San Francisco · US

Funding

Risk and strength: determining the impact of area-level sentiment and protective factors on birth outcomesR01MD015716 · NIMHD · UNIV OF MARYLAND, COLLEGE PARK · PI NGUYEN, THU · 2021 to 2025
$3.6M
Rosie the Chatbot: Leveraging Automated and Personalized Health Information Communication to Reduce Disparities in Maternal and Child HealthR01MD016037 · NIMHD · UNIV OF MARYLAND, COLLEGE PARK · PI NGUYEN, THU, NORELL, ELIZABETH MARIE · 2021 to 2025
$3.3M
Neighborhood Looking Glass: 360 Degree Automated Characterization of the Built Environment for Neighborhood Effects ResearchR01LM012849 · NLM · UNIV OF MARYLAND, COLLEGE PARK · PI NGUYEN, QUYNH · 2018 to 2021
$1.3M
Place-level discrimination and birth outcomesR00MD012615 · NIMHD · UNIV OF MARYLAND, COLLEGE PARK · PI NGUYEN, THU · 2020 to 2022
$720k
NIMHD NIH HHS R00 MD012615NIMHD NIH HHS R01 MD015716NIMHD NIH HHS R01 MD016037NLM NIH HHS R01 LM012849
6 · The paper itself

Abstract

We investigated the content of liberal and conservative news media Facebook posts on race and ethnic health disparities. A total of 3,327,360 liberal and conservative news Facebook posts from the United States (US) from January 2015 to May 2022 were collected from the Crowd Tangle platform and filtered for race and health-related keywords. Qualitative content analysis was conducted on a random sample of 1750 liberal and 1750 conservative posts. Posts were analyzed for a continuum of hate speech using a newly developed method combining faceted Rasch item response theory with deep learning. Across posts referencing Asian, Black, Latinx, Middle Eastern, and immigrants/refugees, liberal news posts had lower hate scores compared to conservative posts. Liberal news posts were more likely to acknowledge and detail the existence of racial/ethnic health disparities, while conservative news posts were more likely to highlight the negative consequences of protests, immigration, and the disenfranchisement of Whites. Facebook posts from liberal and conservative news focus on different themes with fewer discussions of racial inequities in conservative news. Investigating the discourse on race and health in social media news posts may inform our understanding of the public's exposure to and knowledge of racial health disparities, and policy-level support for ameliorating these disparities.

Indexed as

RacismSocial MediaHateHumansMass MediaSpeechUnited Statesmachine learningnews mediaracial health disparitiessocial media

Identifiers

PMID36833925
PMCPMC9960309
OpenAlexW4320493536

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.