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社交媒体分析工具及其在评估在线性健康干预活动与参与度方面的应用综述。

A review of social media analytic tools and their applications to evaluate activity and engagement in online sexual health interventions.

作者信息

Young Lindsay E, Soliz Stephanie, Xu Jackie Jingyi, Young Sean D

机构信息

Annenberg School for Communication and Journalism, University of Southern California, Los Angeles, CA, United States.

School of Social Work, University of Washington, Seattle, United States.

出版信息

Prev Med Rep. 2020 Jul 3;19:101158. doi: 10.1016/j.pmedr.2020.101158. eCollection 2020 Sep.


DOI:10.1016/j.pmedr.2020.101158
PMID:32685364
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7358714/
Abstract

Unprecedented public engagement with social media has provided viable and culturally relevant platforms for application in sexual health interventions, yet there are concerns that methods for evaluating engagement in these interventions have not kept pace with their implementation. More recently, the rise of social media analytics (SMA) and online marketing has spawned the development of analytic tools that boast promise for such a task. In this paper, we review a sample of the most popular of these tools, paying particular attention to: (1) the social media platforms that can be analyzed; (2) analytic capabilities; and (3) measures of engagement. We follow this with a review of sexual health intervention studies that apply these tools in evaluation efforts. Our findings suggest that these tools have numerous analytic capabilities that would be useful for evaluating interventions more efficiently. However, in nearly all cases, the tools we reviewed alone would not be sufficient to fully grasp engagement dynamics, as they need to be complemented with additional tools for textual analysis and social network analysis. Therefore, we consider this fertile ground for future collaborations between software developers and behavioral health scientists to develop more comprehensive analytic platforms with applications for public health research.

摘要

社交媒体前所未有的公众参与度为性健康干预措施提供了可行且与文化相关的应用平台,但有人担心评估这些干预措施中参与度的方法并未跟上其实施步伐。最近,社交媒体分析(SMA)和网络营销的兴起催生了一些分析工具的开发,这些工具号称有望完成此类任务。在本文中,我们回顾了这些工具中最受欢迎的一部分示例,特别关注:(1)可分析的社交媒体平台;(2)分析能力;以及(3)参与度衡量标准。在此之后,我们回顾了在评估工作中应用这些工具的性健康干预研究。我们的研究结果表明,这些工具具有许多分析能力,有助于更高效地评估干预措施。然而,几乎在所有情况下,仅靠我们所回顾的这些工具并不足以完全掌握参与动态,因为它们需要与用于文本分析和社交网络分析的其他工具相结合。因此,我们认为这是软件开发人员和行为健康科学家未来开展合作的沃土,以开发更全面的分析平台并应用于公共卫生研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8578/7358714/97c1652a3541/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8578/7358714/97c1652a3541/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8578/7358714/97c1652a3541/gr1.jpg

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本文引用的文献

[1]
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JMIR Public Health Surveill. 2019-6-17

[2]
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JMIR Public Health Surveill. 2018-12-19

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An Online Support Group Intervention for Adolescents Living with HIV in Nigeria: A Pre-Post Test Study.

JMIR Public Health Surveill. 2018-11-28

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Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies.

J Med Internet Res. 2018-11-16

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JMIR Res Protoc. 2018-8-28

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