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How Newspapers Normalise Algorithmic News Recommendation to Fit Their Gatekeeping Role
Bibliographic Data
| ID | 7497288 |
|---|---|
| Authors | Lynge Asbjørn Møller (0000-0002-1632-2253, Aarhus University, corresponding author) |
| Year | 2022 |
| Volume | 23 |
| Issue | 7 |
| Pages | 800-817 |
| Publication date | 2022-02-08 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journalism Studies (JOURNAL) |
| Journal identifiers | ISSN: 1461-670X • E-ISSN: 1469-9699 |
| Publisher | Routledge (PUBLISHER • GB) |
| DOI | 10.1080/1461670x.2022.2034522 |
| OpenAlex | W4211213328 |
| Language | EN |
| Citations received | 24 |
| References cited | 60 |
This study contributes with in-depth knowledge on how algorithmic news recommendation is adopted within the Scandinavian daily press and how notions of gatekeeping affect the use of these systems. News recommender systems provide news organisations with new opportunities to offer more relevant and personalised news experiences, but their increasing use has also raised several concerns about whether and how algorithms should undertake important editorial decisions. Current literature offers only limited empirical insight into the actual use of these technologies in journalism, and this study is the first to map the use of and perceptions on algorithmic news recommendation within the Scandinavian news market. Drawing on interviews with all 19 national newspapers within the Scandinavian daily press, the findings reveal that while most newspapers use news recommender systems in some form, the extent of their use is still limited due to concerns over the shared news sphere and a reluctance to transfer editorial control. Some newspapers address these concerns in the use of news recommendation by upholding traditional gatekeeping control on certain parts of the website, while others have built editorial control into the systems themselves, indicating that Scandinavian newspapers normalise algorithmic news recommendation by adopting a traditional gatekeeping role
Advertising · Business · Control (management · Gatekeeping · Journalism · Media studies · Newspaper · Political science · Public relations · Recommender system · Sociology · World Wide Web · Computer Science · Media Influence and Politics · Media Studies and Communication · Privacy, Security, and Data Protection · Artificial Intelligence · Law
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| Unique citing works | 24 |
|---|---|
| Citations per year | 6 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 24 |