Publication: News recommender systems: a programmatic research review
News recommender systems: a programmatic research review
Date
Date
Date
Citations
Mitova, E., Blassnig, S., Strikovic, E., Urman, A., Hannák, A., de Vreese, C. H., & Esser, F. (2023). News recommender systems: a programmatic research review. Annals of the International Communication Association, 47(1), 84–113. https://doi.org/10.1080/23808985.2022.2142149
Abstract
Abstract
Abstract
News recommender systems (NRS) are becoming a ubiquitous part of the digital media landscape. Particularly in the realm of political news, the adoption of NRS can significantly impact journalistic distribution, in turn affecting journalistic work practices and news consumption. Thus, NRS touch both the supply and demand of political news. In recent years, there has been a strong increase in research on NRS. Yet, the field remains dispersed across supply and demand research perspectives. Therefore, the contribution of this programmatic
Metrics
Downloads
Views
Additional indexing
Creators (Authors)
Journal/Series Title
Journal/Series Title
Journal/Series Title
Volume
Volume
Volume
Number
Number
Number
Page range/Item number
Page range/Item number
Page range/Item number
Page end
Page end
Page end
Item Type
Item Type
Item Type
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Keywords
Language
Language
Language
Publication date
Publication date
Publication date
Date available
Date available
Date available
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Publisher DOI
Metrics
Downloads
Views
Citations
Mitova, E., Blassnig, S., Strikovic, E., Urman, A., Hannák, A., de Vreese, C. H., & Esser, F. (2023). News recommender systems: a programmatic research review. Annals of the International Communication Association, 47(1), 84–113. https://doi.org/10.1080/23808985.2022.2142149