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Digital-born and legacy news media on twitter during the UK general election

Abstract:

This RISJ factsheet presents an analysis of a sample of 4.26 million news-related tweets from a larger dataset of 28 million tweets collected during the 2017 UK General Election. The document examines the role of digital-born and legacy news media in online political discussions. To do this, the authors Sílvia Majó-Vázquez, Jun Zhao, Jason R. C. Nurse, and Rasmus Kleis Nielsen have mapped Twitter discussions around a range of keywords and hashtags tied to the election as well as the activity ...

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Publication status:
Published
Peer review status:
Reviewed (other)

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Institution:
University of Oxford
Division:
SSD
Department:
Politics & Int Relations
Oxford college:
Merton College
Role:
Author
Publisher:
Reuters Institute for the Study of Journalism Publisher's website
Journal:
Reuters Institute for the Study of Journalism Journal website
Series:
Reuters Institute for the Study of Journalism Factsheets
Publication date:
2017-11-28
Source identifiers:
823122
Pubs id:
pubs:823122
UUID:
uuid:afc2ab2b-1149-477e-8910-746f1958c61c
Local pid:
pubs:823122
Deposit date:
2018-02-08

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