Name Monitoring HIV Outcomes with Social Media
Source University of California
Hyperlink to Source http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4031268/
Description The study suggests the feasibility of using social networking data as a method for evaluating and detecting Human immunodeficiency virus (HIV) risk behaviors and outcomes. Recent availability of 'big data' might be used to study whether and how sexual risk behaviors are communicated on real-time social networking sites and how data might inform HIV prevention and detection. This study seeks to establish methods of using real-time social networking data for HIV prevention by assessing 1) whether geolocated conversations about HIV risk behaviors can be extracted from social networking data, 2) the prevalence and content of these conversations, and 3) the feasibility of using HIV risk-related real-time social media conversations as a method to detect HIV outcomes. In 2012, tweets (N=553,186,061) were collected online and filtered to include those with HIV risk-related keywords (e.g., sexual behaviors and drug use). Data were merged with AIDSVU data on HIV cases. Negative binomial regressions assessed the relationship between HIV risk tweeting and prevalence by county, controlling for socioeconomic status measures. Over 9800 geolocated tweets were extracted and used to create a map displaying the geographical location of HIV-related tweets. There was a significant positive relationship (p<.01) between HIV-related tweets and HIV cases. Results suggest the feasibility of using social networking data as a method for evaluating and detecting Human immunodeficiency virus (HIV) risk behaviors and outcomes.
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Lead Institution University of California
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Partners Virginia Tech
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Info link http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4031268/
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Type Research
Potential for reuse High
Open source N/A
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Plug & Play N/A
Outputs compatible with indicators from Official Statistics N/A
Status Pilot
Country use cases
Target Groups
Statistical Institute
Other Government Agencies
Sectors where the innovation can be applied
  • Areas of technological innovation
  • Real Time Data
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  • Social Media Data
  • Areas of management practice innovations
    Use of Alternative Data Sources
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    Legislation
    Case Study URL with Public Sector Participation
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    Created On 2014-04-12
    Updated On 2014-04-12
    Status Published
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