Report
Digital-born and legacy news media on twitter during the UK general election
- Abstract:
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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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(Version of record, pdf, 102.6KB)
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(Version of record, pdf, 346.7KB)
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Bibliographic Details
- Publisher:
- Reuters Institute for the Study of Journalism Publisher's website
- Series:
- Reuters Institute for the Study of Journalism Factsheets
- Journal:
- Reuters Institute for the Study of Journalism Journal website
- Publication date:
- 2017-11-28
Item Description
- Pubs id:
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pubs:823122
- UUID:
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uuid:afc2ab2b-1149-477e-8910-746f1958c61c
- Local pid:
- pubs:823122
- Source identifiers:
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823122
- Deposit date:
- 2018-02-08
Terms of use
- Copyright holder:
- Reuters Institute for the Study of Journalism
- Copyright date:
- 2017
- Notes:
- Copyright © 2017 Reuters Institute for the Study of Journalism. This is the publisher's version of the report. The final version is available online from Reuters Institute for the Study of Journalism at: https://reutersinstitute.politics.ox.ac.uk/our-research/digital-born-and-legacy-news-media-twitter-during-uk-general-election
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