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Social Media Monitoring of Discrimination and HIV Testing in Brazil, 2014–2015

Bibliographic Data

ID15337403
AuthorsRené Clausen Nielsen (0000-0002-5296-7040), Miguel Luengo-Oroz (0000-0002-8694-2001), Maeve B Mello (0000-0002-2573-7776), J Pérez de la Paz (Ministério da Saúde), Josi Paz, Colin Pantin (Ministério da Saúde), Taavi Erkkola (Joint United Nations Programme on HIV/AIDS, corresponding author)
Year2017
Volume21
IssueS1
Pages114-120
Publication date2017-03-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAIDS and Behavior (JOURNAL)
Journal identifiersISSN: 1090-7165 • E-ISSN: 1573-3254
PublisherSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s10461-017-1753-2
PMID28349220
OpenAlexW2602468491
LanguageEN
Citations received8
References cited12

Big data can be used to assess perceptions about public health issues. This study assessed social media data from Twitter to inform communication campaigns to promote HIV testing and reduce discrimination related to HIV/AIDS or towards key populations to the HIV epidemic, and its potential utility to evaluate such campaigns through HIV testing uptake. Tweets from Brazil were collected from January 2014 to March 2015 and filtered by four categories of keywords including discrimination, HIV prevention, HIV testing, and HIV campaigns. In total over 100,000 geo-located tweets were extracted and analyzed. A dynamic online dashboard updated daily allowed mapping trends, anomalies and influencers, and enabled its use for feedback to campaigns, including correcting misconceptions. These results encourage the use of social networking data for improved messaging in campaigns. Clinical HIV test data was collected monthly from the city of Curitiba and compared to the number of tweets mapped to the city showing a moderate positive correlation (r = 0.39). Results are limited due to the availability of the HIV testing data. The potential of social media as a proxy for HIV testing uptake needs further validation, which can only be done with higher frequency and higher spatial granularity of service delivery data, enabling comparisons with the social media data. Such timely information could empower early response immediate media messaging to support programmatic efforts, such as HIV prevention, testing, and treatment scale up

Business · Environmental health · Family medicine · Human immunodeficiency virus (HIV · Influencer marketing · Men who have sex with men · Public health · Social media · World Wide Web · Computer Science · Data-Driven Disease Surveillance · HIV, Drug Use, Sexual Risk · HIV/AIDS Research and Interventions · Medicine · Marketing

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Unique citing works8
Citations per year1.14
Citation span2019 - 2025 (7)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 8

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