Recommended for You:: how Newspapers Normalise Algorithmic News Recommendation to Fit Their Gatekeeping Role

Lynge Asbjørn Møller

doi:https://doi.org/10.1080/1461670X.2022.2034522

Recommended for You: how Newspapers Normalise Algorithmic News Recommendation to Fit Their Gatekeeping Role

Lynge Asbjørn Møller

Forskningsafdelingen

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

A article about a study which 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.

Original language	English
Journal	Journalism Studies
Volume	23
Issue number	7
Pages (from-to)	800-817
ISSN	1461-670X
DOIs	https://doi.org/10.1080/1461670X.2022.2034522
Publication status	Published - 8 Feb 2022

Keywords

journalism
gatekeeping
journalism
news algorithms
news personalisation
news recommendation
news recommender systems

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https://doi.org/10.1080/1461670X.2022.2034522Licence: Unspecified

Cite this

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title = "Recommended for You:: how Newspapers Normalise Algorithmic News Recommendation to Fit Their Gatekeeping Role",

abstract = "A article about a study which 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.",

keywords = "journalism, gatekeeping, journalism, news algorithms, news personalisation, news recommendation, news recommender systems",

author = "M{\o}ller, {Lynge Asbj{\o}rn}",

year = "2022",

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Recommended for You: how Newspapers Normalise Algorithmic News Recommendation to Fit Their Gatekeeping Role

Abstract

Keywords

Access to Document

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