Dados Bibliográficos

AUTOR(ES) G. Wood , S. Lawson , K. Long , Phillip Brooker , John Vines , Julie Barnett , Tom Feltwell
AFILIAÇÃO(ÕES) Northumbria University, UK, University of Liverpool, University of Bath, UK
ANO 2018
TIPO Artigo
PERIÓDICO Big Data & Society
ISSN 2053-9517
E-ISSN 2053-9517
EDITORA Sage Publications Ltd
DOI 10.1177/2053951718766624
ADICIONADO EM 2025-08-18
MD5 78df89a036751bc563ad45761b3db3f3

Resumo

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.

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