Affiliation:
1. Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Victoria, Australia
Abstract
The rising popularity of social media has created valuable opportunities for researchers to quickly and cheaply tap large amounts of data on naturalistic social interactions. One of the most useful and accessible sources of social media data is Twitter. Although Twitter data are free to access, however, the programming tools required to collect and analyze these data are likely to create a barrier for many psychologists. The goal of this article is to reduce that barrier by explaining what data are available from Twitter and providing code and step-by-step instructions to retrieve them. I also review approaches to deriving psychological insight from these data, the accompanying challenges, and potential solutions, providing code to make these tasks easier. Particularly for researchers without access to large participant pools, overseas collaborators, or online panels, Twitter can be an important source of psychological insight.
Subject
Clinical Psychology,Social Psychology
Cited by
36 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献