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Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community–Related Posts on Social Media: Quantitative Study

Journal of Medical Internet Research(2025)10.2196/72822Source: DataRank Database

Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community–Related Posts on Social Media: Quantitative 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 5 times.

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Enrichment:Funding (2 grants)Impact (FWCI 6.98)OA: goldTopics (44)IDs (PubMed, PMC, OpenAlex)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (11)

Xiaohe Yue ORCID,Heran Mane ORCID,Kyle Seelman,Penchala Sai Priya Mullaputi ORCID,Elizabeth Dennard ORCID

Live enrichment

PubMed:40354116 PMC:PMC12107201 OpenAlex:https://openalex.org/W4410304501

NIMHD NIH HHS

Grant: R01 MD015716

National Institutes of Health

Grant: 5R01MD015716-04

Risk and strength: determining the impact of area-level racial bias and protective factors on birth outcomes.

FWCI

6.98

Citation Percentile

1.0%

Citation Trend

2025

2026

goldLicense: cc-by

journalhttps://www.jmir.org/2025/1/e72822/PDF

publisherhttps://www.jmir.org/2025/1/e72822/PDF

publisherhttps://www.jmir.org/2025/1/e72822

journalhttps://doi.org/10.2196/72822

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40354116

Fields of Study

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion MiningSpam and Phishing Detection02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

MeSH Terms

Machine LearningSexual and Gender MinoritiesFemaleHateHumansMaleSocial Media

Keywords

TransgenderComputer scienceQueerLesbianLatent Dirichlet allocationArtificial intelligenceSocial mediaNatural language processingHomophilyTopic modelPsychologyWorld Wide WebSocial psychologyAIPublic HealthSentiment AnalysisMemesSocial Media AnalysisMultimodal Machine LearningCultural Determinants Of HealthHate Speech DetectionMaleOriginal PaperComputer applications to medicine. Medical informaticsR858-859.7HateMachine LearningSexual and Gender MinoritiesHumansFemalePublic aspects of medicineRA1-1270

Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community–Related Posts on Social Media: Quantitative Study

FAIR Checklist

Authors (11)

Funding (2 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)