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Abstract
With the case of public service media, this chapter discusses the multiple and conflicting understandings of diversity among different actors in the media industry. The use of recommender algorithms in PSM organisations exposes a fundamental incompatibility of journalistic and computational understandings of diversity, highlighted by analyses of PSB practitioners understanding of diversity. The incompatibility is further examined via a thought experiment of implementing a diversity algorithm for public service media. The experiment shows the incompatibility of the journalistic diversity concept with computational diversity as applied in the context of algorithmic recommender systems. Finally the chapter concludes that the idea of an algorithmic diversity diet undermines the purpose of PSB/PSM as a place for development of free thoughts.
Original language | English |
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Title of host publication | Algorithmic Distribution of the News : Policy Responses |
Publisher | Palgrave Macmillan |
Publication date | 23 Sept 2022 |
Pages | 289-307 |
ISBN (Print) | 978-3-030-87085-0 |
ISBN (Electronic) | 978-3-030-87086-7 |
DOIs | |
Publication status | Published - 23 Sept 2022 |
Series | Palgrave Global Media Policy And Business Series |
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Keywords
- diversity
- algorithmic recommendation
- personalisation
- public service media
- news
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Dive into the research topics of 'The shortcomings of the diversity diet: Public Service Media, algorithms and the multiple dimensions of diversity'. Together they form a unique fingerprint.Projects
- 1 Finished
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Algorithmic Public Service Media Content Recommendation
Sørensen, J. K. (PI)
19/10/2015 → 30/12/2022
Project: Research