社交媒体作为了解神经分歧身份和生活经验中运动差异作用的工具
1School of Kinesiology, University of Michigan, Ann Arbor, MI, USA.
Journal of motor learning and development
|January 26, 2024
概括
社交媒体数据揭示了自闭症患者和发展协调障碍 (DCD) 患者如何将运动差异作为其身份的一部分讨论. 这项研究提供了一种新的方法来理解神经发育和行为的神经分离观点.
科学领域:
- 神经科学是一个神经科学.
- 发展心理学 发展心理学
- 社会学 社会学 社会学
背景情况:
- 像Twitter这样的社交媒体平台提供了丰富的,公开可用的数据,以了解社区的观点.
- 与在线数据分析相比,传统的定性研究方法在范围和可访问性方面存在局限性.
- 检查关于运动差异的在线话语可以提供对身份和生活经验的见解.
研究的目的:
- 为推特数据在运动发育和行为研究中提供数据收集和分析管道.
- 探索自闭症患者和发展协调障碍 (DCD) /失调症患者如何讨论与其身份相关的运动差异.
- 展示社交媒体数据对理解神经分歧和残疾人的视角的有用性.
主要方法:
- 开发一个管道来收集和分析Twitter数据,重点是用户的生物和帖子.
- 在两个案例研究中应用管道:一个是自闭症用户,一个是DDC/dyspraxic用户.
- 分析在线话语,以确定与运动差异和身份表达相关的主题.
主要成果:
- 推特数据可以有效地捕捉神经分歧社区内运动差异的观点.
- 这些研究确定了自闭症和DCD/dyspraxic用户如何表达运动差异作为其身份的一部分.
- 该管道对于研究运动差异的个体的实践经验非常有用.
结论:
- 社交媒体分析是运动发育和行为研究的一个有价值的工具,特别是对于代表性不足的群体.
- 这种方法提供了一个可扩展和具有全球代表性的方法来研究身份和运动差异.
- 未来的研究应该探索各种社交媒体平台和先进的分析技术,以获得更丰富的见解.
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