Harvesting Twitter Data for Studying Motor Behavior in Disabled Populations: An Introduction and Tutorial in Python.
Harvesting Twitter Data for Studying Motor Behavior in Disabled Populations: An Introduction and Tutorial in Python.
复制标题
收集 Twitter 数据以研究残疾人的运动行为：Python 简介和教程。
DOI：
10.1123/jmld.2023-0006
复制
发表时间：
2023
影响因子：
1.3
通讯作者：
Miller,HaylieL
中科院分区：
文献类型：
--
作者：
Fears,NicholasE;Chatterjee,Riya;Tamplain,PriscilaM;Miller,HaylieL
社交媒体平台是一个丰富而动态的空间，个人在人与人之间以及与更广泛的受众进行沟通。这些平台提供了丰富的公开数据，可以揭示来自众多临床人群的人们的生活经历。Twitter可用于检查关于特定特征的个人表达和社区讨论（例如， 运动技能、倦怠）。这些数据有助于理解代表广泛临床人群的多元化国际自我倡导者群体的观点。在这里，我们提供了一个框架，用于如何使用Python（一种免费的开源编程语言）通过其免费的学术研究人员应用程序编程接口访问从Twitter获取数据。我们还提供了一个样本数据集收获使用这个框架和一组分析这些数据具体涉及到运动神经发育条件的差异。该框架提供了一种具有成本效益和灵活的方法来收集和分析Twitter数据。研究人员应该利用这些资源，通过社交媒体平台来促进我们对临床人群生活经验的理解，并确定对改善生活质量最重要的关键问题。
Social media platforms are rich and dynamic spaces where individuals communicate on a person-to-person level and to broader audiences. These platforms provide a wealth of publicly available data that can shed light on the lived experiences of people from numerous clinical populations. Twitter can be used to examine individual expressions and community discussions about specific characteristics (e.g., motor skills, burnout) associated with a diagnostic group. These data are useful for understanding the perspectives of a diverse, international group of self-advocates representing a wide range of clinical populations. Here, we provide a framework for how to harvest data from Twitter through their free, academic researcher application programming interface access using Python, a free, open-source programming language. We also provide a sample data set harvested using this framework and a set of analyses on these data specifically related to motor differences in neurodevelopmental conditions. This framework offers a cost-effective and flexible means of harvesting and analyzing Twitter data. Researchers should utilize these resources to advance our understanding of the lived experiences of clinical populations through social media platforms and to determine the critical questions that are of most importance to improving quality of life.