Characterizing alcohol use disorder recovery-related exposures on Twitter: Content, cluster, and network analysis
描述 Twitter 上与酒精使用障碍恢复相关的暴露特征:内容、聚类和网络分析
基本信息
- 批准号:10934623
- 负责人:
- 金额:$ 14.82万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-20 至 2027-08-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
PROJECT SUMMARY/ABSTRACT
The overarching goal of this K01 is to support the training of Dr. Alex Russell. His goal is to become an
independent alcohol use disorder (AUD) recovery researcher with expertise in how to leverage social media
platforms to enhance AUD treatment and recovery outcomes in novel and innovative ways. To help achieve this
goal, the candidate proposes an original mentored research study focused on developing scientific knowledge
about AUD and recovery-related social media exposures in order to define prominent social-media based
barriers to and facilitators of AUD recovery, and thereby informing narrative-based social media interventions
designed to enhance AUD treatment and recovery outcomes. In aim 1, we will characterize AUD and recovery-
related exposures on Twitter by conducting a qualitative content analysis using an unsupervised machine
learning and inductive coding approach – identifying potential barriers to/facilitators of recovery present on
Twitter. In aim 2, we will use latent class analysis to identify underlying content similarities between clusters of
tweets, over and above individual themes. We will also determine how varying post characteristics (e.g., format,
source) and content cluster themes are associated with user engagement (i.e., likes, retweets). In aim 3, social
network analysis will be used to examine the network structure of barriers/facilitators-related posts, identifying
important opinion-leaders and topics about AUD and recovery on Twitter (targets for later intervention) and to
determine how network position of posts varies by post characteristics (e.g., format, source) and domains of
AUD recovery barriers and facilitators. This mentored study is intended to facilitate training to help the candidate
develop the expertise to build an independent research career. More specifically, Dr. Russell’s mentorship team
(Philip Massey, Brandon Bergman, John Kelly, Dana Litt, and Brian Primack) will foster his scientific development
in the following areas: 1) AUD recovery science (addiction treatment and recovery, mechanisms of recovery-
related behavior change, digital recovery support services); 2) social media-based research methods (theory,
data collection, measurement, analyses, and interpretation); 3) latent class analysis; 4) social network analysis;
and 5) career development and grantsmanship. Additionally, Dr. Russell’s training plan will supplement practical
experiences and mentorship with formal coursework and workshop attendance, and dissemination of research
findings at conferences. His career goals are in line with NIAAA’s emphases on a) the identification and
development of strategies to reduce personal and organizational barriers that prevent people with alcohol use
disorders from seeking and receiving appropriate care, b) the study of potentially vital recovery mechanisms
during an at-risk developmental stage, c) the development and testing of methods that can enhance the diffusion
and adoption of evidence-based alcohol-related treatment practices across the full spectrum of services for at-
risk, harmful, and dependent drinkers, and d) the development of innovative behavioral strategies to promote
drinking-related behavior change (PA-15-299).
项目总结/文摘
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Alex Russell其他文献
Alex Russell的其他文献
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{{ truncateString('Alex Russell', 18)}}的其他基金
Characterizing alcohol use disorder recovery-related exposures on Twitter: Content, cluster, and network analysis
描述 Twitter 上与酒精使用障碍恢复相关的暴露特征:内容、聚类和网络分析
- 批准号:
10572265 - 财政年份:2022
- 资助金额:
$ 14.82万 - 项目类别:
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