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Digital-born and legacy news media on twitter during the German federal election

Abstract:

In this RISJ factsheet we analyse 720,799 news-related tweets from a larger dataset of 4.4 million tweets collected during the 2017 German Federal Election to examine the role of digital-born and legacy news media in online political discussions in Germany. The authors Sílvia Majó-Vázquez, Jason R. C. Nurse, Felix M.Simon, and Rasmus Kleis Nielsen show in this study how news audience attention took shape on Twitter during the weeks ahead of the polling day and up to the day after of the celeb...

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Publication status:
Published
Peer review status:
Peer reviewed

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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
Pages:
1-10
Publication date:
2017-10-30
Source identifiers:
823426
Keywords:
Pubs id:
pubs:823426
UUID:
uuid:310d1c47-a226-4f61-9aba-baa6e98e3adc
Local pid:
pubs:823426
Deposit date:
2018-02-09

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