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  • 标题:Researching with Twitter timeline data: A demonstration via “everyday” socio-political talk around welfare provision:
  • 本地全文:下载
  • 作者:Phillip Brooker ; Phillip Brooker ; Julie Barnett
  • 期刊名称:Big Data & Society
  • 电子版ISSN:2053-9517
  • 出版年度:2018
  • 卷号:5
  • 期号:1
  • DOI:10.1177/2053951718766624
  • 语种:English
  • 出版社:SAGE Publications
  • 摘要:Increasingly, social media platforms are understood by researchers to be valuable sites of politically-relevant discussions. However, analyses of social media data are typically undertaken by focusing on ‘snapshots’ of issues using query-keyword search strategies. This paper develops an alternative, less issue-based, mode of analysing Twitter data. It provides a framework for working qualitatively with longitudinally-oriented Twitter data (user-timelines), and uses an empirical case to consider the value and the challenges of doing so. Exploring how Twitter users place “everyday” talk around the socio-political issue of UK welfare provision, we draw on digital ethnography and narrative analysis techniques to analyse 25 user-timelines and identify three distinctions in users’ practices: users’ engagements with welfare as TV entertainment or as a socio-political concern; the degree of sustained engagement with said issues, and; the degree to which users’ tweeting practices around welfare were congruent with or in contrast to their other tweets. With this analytic orientation, we demonstrate how a longitudinal analysis of user-timelines provides rich resources that facilitate a more nuanced understanding of user engagement in everyday socio-political discussions online.
  • 关键词:Social media analytics; digital methods; digital ethnography; narrative analysis; socio-political issues; social welfare
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