Automatic Cohort Determination from Twitter for HIV Prevention amongst Black and Hispanic Men. Article Swipe
Davy Weissenbacher
,
J Ivan Flores
,
Yunwen Wang
,
Karen O’Connor
,
Siddharth Rawal
,
Robin Stevens
,
Graciela Gonzalez‐Hernandez
·
YOU?
·
· 2022
· Open Access
·
YOU?
·
· 2022
· Open Access
·
Recruiting people from diverse backgrounds to participate in health research requires intentional and culture-driven strategic efforts. In this study, we utilize publicly available Twitter posts to identify targeted populations to recruit for our HIV prevention study. Natural language processing and machine learning classification methods were used to find self-declarations of ethnicity, gender, age group, and sexually-explicit language. Using the official Twitter API we collected 47.4 million tweets posted over 8 months from two areas geo-centered around Los Angeles. Using available tools (Demographer and M3), we identified the age and race of 5,392 users as likely young Black or Hispanic men living in Los Angeles. We then collected and analyzed their timelines to automatically find sex-related tweets, yielding 2,166 users. Despite a limited precision, our results suggest that it is possible to automatically identify users based on their demographic attributes and Twitter language characteristics for enrollment into epidemiological studies.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://pubmed.ncbi.nlm.nih.gov/35854738
- OA Status
- green
- Cited By
- 2
- References
- 22
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4286376740Canonical identifier for this work in OpenAlex
- Title
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Automatic Cohort Determination from Twitter for HIV Prevention amongst Black and Hispanic Men.Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
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2022-01-01Full publication date if available
- Authors
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Davy Weissenbacher, J Ivan Flores, Yunwen Wang, Karen O’Connor, Siddharth Rawal, Robin Stevens, Graciela Gonzalez‐HernandezList of authors in order
- Landing page
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https://pubmed.ncbi.nlm.nih.gov/35854738Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/9285152Direct OA link when available
- Concepts
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Timeline, Ethnic group, Social media, Human immunodeficiency virus (HIV), Race (biology), Internet privacy, Gerontology, Medicine, Computer science, World Wide Web, Political science, Geography, Family medicine, Gender studies, Sociology, Archaeology, LawTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2024: 1, 2021: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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