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LK 120
Social media big data for prediction of health behaviors and outcomes
LK 120
Social media big data for prediction of health behaviors and outcomes
PhD, MS, Assistant Professor of Family Medicine, UCLA
BackgroundRecent availability of “big data” might be used to study whether and how sexual risk behaviors are communicated on real-time social networking sites (e.g., Twitter) and how data might inform... Read more

Description

Background

Recent availability of “big data” might be used to study whether and how sexual risk behaviors are communicated on real-time social networking sites (e.g., Twitter) 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.

Methods

We collected 553,186,061 tweets from Twitter and filtered them 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.

Results

Analysis in Progress

Conclusion

Analysis in Progress

Sean Young, PhD, MS is an Assistant Professor of Family Medicine at UCLA. His work focuses on health behavior change and patient engagement— on the design and evaluation of mobile technology interventions for community and global health. He has published a number of studies in top academic journals on this work suggesting how social networking communities and social media can be used to predict and change health behaviors in the United States and international settings. His clinical work for the Department of Family Medicine is focused on developing technologies to increase patient engagement and improve health outcomes. Dr. Young received his PhD in Psychology from Stanford University.

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