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Analytic Methods to Investigate HIV-Related Digital Communication: A Scoping Review.
Parisa Ayoubi1, Bailey Holmes Spencer2, Ohemaa B Poku3
1Department of Community Health and Social Sciences, City University of New York (CUNY) Graduate School of Public Health, New York, USA.
Current HIV/AIDS Reports
|November 13, 2025
Summary
This review identifies analytic methods for digital communication about HIV. Most studies use social media data and qualitative methods like thematic analysis, with quantitative approaches also employed.
Area of Science:
- Digital Health
- Public Health
- Computational Social Science
Background:
- Digital communication platforms are increasingly used to discuss HIV.
- Understanding these conversations is crucial for public health interventions.
Purpose of the Study:
- To identify and characterize the analytical methods used in research on digital communication related to HIV.
- To provide an overview of current methodologies in this emerging field.
Main Methods:
- Scoping review of 106 articles published before February 2025.
- Analysis of qualitative, quantitative, and mixed-methods approaches.
- Categorization of methods based on their application to HIV-related digital communication.
Main Results:
- Over half of the studies focused on HIV prevention, predominantly using social media data.
- Qualitative methods, particularly thematic analysis, were most common.
- Quantitative methods included topic modeling, classifier training, and sentiment analysis.
- A significant portion of studies employed mixed-methods approaches.
Conclusions:
- A diverse range of analytical methods are applied to HIV-related digital communication.
- Future research should explore innovative qualitative and quantitative methods.
- Digital communication can offer insights into lived experiences of HIV treatment and stigma.
- Ethical considerations are paramount for future research in this area.
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