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Digital Hostility Toward LGBTQIA+ Research Recruitment on Social Media Using Topic Modeling and Sentiment Analysis of Facebook Comments: Quantitative Content Analysis Study

Journal of Medical Internet Research(2025)10.2196/79080Source: DataRank Database

Digital Hostility Toward LGBTQIA+ Research Recruitment on Social Media Using Topic Modeling and Sentiment Analysis of Facebook Comments: Quantitative Content Analysis Study is a research paper published in Journal of Medical Internet Research (2025). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

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Open Access3 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: goldTopics (27)IDs (PubMed, PMC)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (4)

Brett Peterson ORCID,Ashley Benhayoun ORCID,Qimin Liu ORCID,Violeta J. Rodriguez ORCID

Live enrichment

PubMed:40921069 PMC:PMC12455171

NIH HHS

Grant: DP5 OD036508

National Institutes of Health

Grant: 5DP5OD036508-02

Optimizing the Assessment of Parenting: A Multi-Method and Multi-Informant Approach

goldLicense: cc-by

publisherhttps://www.jmir.org/2025/1/e79080/PDF

publisherhttps://www.jmir.org/2025/1/e79080

repositoryhttps://doaj.org/article/593dd9b78d2d4ec3acc91059966a8540

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12455171

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12455171/

Fields of Study

0508 media and communications05 social sciences

MeSH Terms

HumansHostilityFemaleMaleSocial StigmaSocial MediaSexual and Gender Minorities

Keywords

Text MiningSentiment AnalysisLiwcTopic ModelingLinguistic Inquiry And Word CountResearcher Well-BeingStigma CommunicationVirtual StigmaFacebook CommentsLgbtqia+ ResearchMaleOriginal PaperSexual and Gender MinoritiesHostilitySocial StigmaHumansFemaleSocial Media