UTILIZING TWITTER TO IDENTIFY AND RECRUIT YOUNG BLACK MEN AT HIGH RISK OF HIV INFECTION

利用推特来识别和招募艾滋病毒感染高风险的年轻黑人

基本信息

  • 批准号:
    10214087
  • 负责人:
  • 金额:
    $ 24.75万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-09-30 至 2022-08-31
  • 项目状态:
    已结题

项目摘要

Project Summary The disproportionate incidence of HIV/AIDS among Black men underscores a dire need for technologically innovative and culturally-responsive approaches to reduce HIV in Black communities. There is evidence that social media platforms such as Twitter may offer an unprecedented opportunity to identify and recruit young Black men (YBM) at elevated risk, but to date there is a dearth of empirical evidence to support that social media based-recruitment using natural language processing is feasible and/or acceptable. On social media platforms like Twitter, young men share substance and sex related content. We propose mining these Twitter posts to identify YBM who may be at risk of elevated HIV, based on their substance and sexual risk posts. This study will serve as a proof of method to test the extent to which we can identify and recruit YBM based on their social media posts. We will extend and calibrate our “High-Risk Language” (HRL) algorithm to identify users who post HIV-risk related language on Twitter. Those who agree to participate and deemed eligible will complete a qualitative interview and in- person study visit which includes HIV testing, multi-drug screening, and a survey of their sexual risk and substance use behaviors. Our primary outcomes are; (1) condomless (and/or without PrEP) vaginal or anal sex and (2) illicit drug use before or during sex. We will assess the yield and accuracy of our HRL algorithm at identifying YBM at risk, compared to their biomarkers and surveys. This work will test cutting-edge research tools aimed at increasing the rigor and precision of online recruitment efforts to reduce HIV in the Black community.
项目摘要 黑人男性中艾滋病毒/艾滋病的发病率不高,强调了可怕的需求 用于技术创新和文化响应的方法,以减少黑色的HIBE 社区有证据表明,Twitter等社交媒体平台可能会提供 识别和招募年轻黑人(YBM)的前所未有的机会,但风险较高,但 迄今为止,缺乏证据可以支持基于社交媒体 使用自然语言处理是可行的和/或在社交媒体平台上进行的。 Twitter,年轻人共享实质性和性别的内容。 根据其物质和性行为,识别可能有艾滋病毒升高风险的YBM的帖子 风险职位。 并根据他们的社交媒体帖子招募YBM。 语言“(HRL)算法识别在Twitter上发布HIV风险与语言的用户。 同意参加并被认为有资格参加,将完成定性的访谈和 人研究访问,包括艾滋病毒测试,多药筛查和对性的调查 风险和物质使用行为。 PREP)阴道或肛交以及(2)在性行为之前或期间使用非法药物。 与其生物标志物相比 调查。 在线招聘的精确度减少了黑人社区的HIB。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review.
  • DOI:
    10.2196/35788
  • 发表时间:
    2022-04-29
  • 期刊:
  • 影响因子:
    7.4
  • 作者:
    Golder, Su;Stevens, Robin;O'Connor, Karen;James, Richard;Gonzalez-Hernandez, Graciela
  • 通讯作者:
    Gonzalez-Hernandez, Graciela
Automatic Cohort Determination from Twitter for HIV Prevention amongst Black and Hispanic Men.
Twitter 自动确定黑人和西班牙裔男性艾滋病毒预防队列。
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