Researching with Twitter timeline data
A demonstration via "everyday" socio-political talk around welfare provision
Bibliographic Data
| ID | 5260437 |
|---|---|
| Authors | Phillip Brooker (0000-0003-1189-4647, University of Liverpool, corresponding author), Julie Barnett (0000-0001-5740-0863, University of Bath), John Vines (0000-0003-4051-3356, Northumbria University), Shaun Lawson (0000-0001-8357-0727, Northumbria University), Tom Feltwell (0000-0003-2530-7407, Northumbria University), Kiel Long (0000-0003-0934-0848, Northumbria University), Gavin Wood (0000-0001-7187-2197, Northumbria University) |
| Year | 2018 |
| Volume | 5 |
| Issue | 1 |
| Publication date | 2018-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Big Data & Society (JOURNAL) |
| Journal identifiers | ISSN: 2053-9517 • E-ISSN: 2053-9517 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/2053951718766624 |
| OpenAlex | W2795580043 |
| Language | EN |
| Citations received | 6 |
| References cited | 48 |
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
Data science · Ethnography · Everyday life · Internet privacy · Media studies · Narrative · Political science · Politics · Public relations · Social media · Sociology · Timeline · Welfare · World Wide Web · Computer Science · Focus Groups and Qualitative Methods · Gender, Feminism, and Media · Social Media and Politics
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Handbook of digital politics
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Connected or informed
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Welfare Commonsense, Poverty Porn and Doxosophy
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| Unique citing works | 6 |
|---|---|
| Citations per year | 0,86 |
| Citation span | 2019 - 2026 (8) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |