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A framework for linking and sharing social media data for high-resolution longitudinal measurement of mental health across CLOSER cohorts

A framework for linking and sharing social media data for high-resolution longitudinal measurement of mental health across CLOSER cohorts
用于链接和共享社交媒体数据的框架,用于对 CLOSER 队列中的心理健康进行高分辨率纵向测量
批准号:
ES/R011583/1
负责人:
Oliver Davis
金额:
$13.31万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --

项目摘要

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中文摘要
翻译
社交媒体上的互动有可能帮助我们理解人类行为,包括良好和不良心理健康的发展。然而,为了做最好的科学,我们需要尽可能多地了解参与我们研究的人。更接近英国纵向队列的群体包括那些从出生起就为研究贡献数据的人。通过邀请这些群体的参与者也允许我们从他们的社交媒体订阅源中获取信息,我们将能够将这些信息与我们试图理解的行为的黄金标准衡量标准联系起来,并与生活其他方面的世界级数据联系起来。为了找出做到这一点的最佳方式,我们的项目将与90年代儿童群体的参与者接触,以找出他们在收集和使用他们在社交媒体上的互动方面可以接受的方式。我们将利用所学知识开发软件,收集和编码社交媒体数据,保护参与者的匿名性,方法是在不向研究人员提供文本的情况下对Tweet进行评分。我们将与其他更亲密的群体共享此软件,以便他们能够轻松邀请参与者以安全可靠的方式提供他们的Twitter数据。以这种方式收集的高分辨率数据将帮助我们理解人类行为和心理健康如何随着时间的推移而变化。在众所周知的人群中收集这些数据也将为科学家提供他们需要的信息,以提高使用社交媒体进行的所有研究的质量。
英文摘要
Interactions on social media have the potential to help us to understand human behaviour, including the development of both good and poor mental health. However, to do the best science we need to know as much as possible about the people who are participating in our research. The CLOSER group of UK longitudinal cohorts include people who have contributed their data to research since birth. By inviting participants in these cohorts to also allow us to derive information from their social media feeds, we will be able to relate this information to gold-standard measures of the behaviours we are trying to understand and to world-class data on other aspects of life. To work out the best way to do this, our project will engage with participants in the Children of the '90s cohort to find out what is acceptable to them in terms of collecting and using their interactions on social media. We will use what we have learnt to develop software that collects and codes social media data in a way that protects the anonymity of participants by scoring Tweets without making the text available to researchers. We will share this software with other CLOSER cohorts to make it easy for them to invite participants to contribute their Twitter data in a safe and secure way. The high-resolution data collected in this way will help us to understand human behaviour and how mental health changes over time. Collecting these data in well known groups of people will also give scientists the information they need to improve the quality of all research using social media.
期刊论文(5)
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会议论文
DOI: 10.2196/42734
发表时间: 2023-05-08
期刊: JOURNAL OF MEDICAL INTERNET RESEARCH
影响因子: 7.4
作者: [Cara, Nina H. Di, Maggio, Valerio, Davis, Oliver S. P., Haworth, M. A.]
通讯作者: Haworth, M. A.
Views on social media and its linkage to longitudinal data from two generations of a UK cohort study.
对社交媒体的看法及其与英国两代队列研究的纵向数据的联系。
DOI: 10.12688/wellcomeopenres.15755.2
发表时间: 2020
期刊: Wellcome open research
影响因子: --
作者: [Di Cara NH]
通讯作者: Di Cara NH
Investigating chromatin misfolding as a pathogenic mechanism in neurodevelopmental disorders.
  • 批准号:
    MR/Y000463/1
  • 项目类别:
    Fellowship
  • 资助金额:
    $35.54万
  • 财政年份:
    2023
  • 负责人:
    Oliver Davis
  • 依托单位:
海外基金