Post, Mine, Repeat: Social Media Data Mining Becomes Ordinary
- Submitting institution
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The University of Sheffield
- Unit of assessment
- 21 - Sociology
- Output identifier
- 4425
- Type
- A - Authored book
- DOI
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10.1057/978-1-137-35398-6
- Publisher
- Palgrave Macmillan
- ISBN
- 9781137353979
- Open access status
- -
- Month of publication
- June
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
0
- Research group(s)
-
-
- Proposed double-weighted
- Yes
- Double-weighted statement
- This book involved sustained research effort and the collection and analysis of extensive material. It draws on material from four studies, including two substantial AHRC and EPSRC-funded projects. Various methods were used, resulting in multi-layered, diverse and complex data. The question of what happens when social media data mining becomes ordinary was thus investigated in depth and in different contexts. As a result, the book presents an original critical argument: that new data relations are emerging, characterised by a desire for numbers and the troubling consequences of this desire, but also by the possibility of doing good with data.
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
