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Journal article

Understanding news story chains using information retrieval and network clustering techniques

Abstract:

Content analysis of news stories is a cornerstone of the communication studies field. However, much research is conducted at the level of individual news articles, despite the fact that news events are frequently presented as “stories” by news outlets: chains of connected articles offering follow up reporting as new facts emerge or covering the same event from different angles. These stories are theoretically highly important; they also create measurement issues for general quantitative studi...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Department:
Blavatnik School of Government
Role:
Author
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Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
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Name:
Economic and Social Research Council
Grant:
1219081
Publisher:
Routledge
Journal:
Communication Methods and Measures More from this journal
Volume:
13
Issue:
1
Pages:
43-59
Publication date:
2018-11-07
Acceptance date:
2018-08-28
DOI:
EISSN:
1931-2466
ISSN:
1931-2458
Language:
English
Pubs id:
pubs:924292
UUID:
uuid:7ec6efb4-2318-4635-9d17-b27c020768f4
Local pid:
pubs:924292
Source identifiers:
924292
Deposit date:
2018-10-07

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