Journal article
The life and death of political news: measuring the impact of the audience agenda using online data
- Abstract:
- The rapid development of online media as a major location for news consumption has stimulated a variety of debates about how journalism is changing in the Internet era. Of particular importance have been worries about a potential turn toward populism, whereby journalists and editors shift away from reporting what is newsworthy to what their audience wants to hear supported by the widespread availability of audience metrics. A wealth of ethnographic research has pointed to the potential importance of such statistics; but little quantitative work has been conducted to test for the existence of a relationship between audience behavior and editorial decisions. This study seeks to fill that gap. Based on a novel data set of over 40,000 articles published in five major UK news outlets over a period of 6 weeks, we explore the relationship between a news story's readership and its likelihood of being removed from the front page, based on the "most read" lists common to many news websites. We find that being a most read article decreased the short-term likelihood of being removed from the front page by around 25% and that this effect was broadly similar for both political and entertainment news. Surprisingly, we find a considerably greater influence in "quality" publications than their tabloid counterparts. Our results are discussed as evidence of a still limited, but potentially developing, turn toward online populism. © The Author(s) 2013.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
-
(Preview, Accepted manuscript, pdf, 721.4KB, Terms of use)
-
- Publisher copy:
- 10.1177/0894439313506845
Authors
- Publisher:
- SAGE Publications
- Journal:
- Social Science Computer Review More from this journal
- Volume:
- 32
- Issue:
- 2
- Pages:
- 170-181
- Publication date:
- 2013-11-24
- DOI:
- EISSN:
-
1552-8286
- ISSN:
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0894-4393
- Keywords:
- Pubs id:
-
pubs:630399
- UUID:
-
uuid:3d067fdf-eb4c-4ed4-ad28-3e9a807b09ac
- Local pid:
-
pubs:630399
- Source identifiers:
-
630399
- Deposit date:
-
2016-06-29
- ARK identifier:
Terms of use
- Copyright holder:
- Jonathan Bright and Tom Nicholls
- Copyright date:
- 2013
- Notes:
-
This is an
accepted manuscript of a journal article published by SAGE Publications in Social Science Computer Review on 2013-11-24, available online: http://dx.doi.org/10.1177/0894439313506845
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