Publication:

News recommender systems: a programmatic research review

Date

Date

Date
2023
Journal Article
Published version

Citations

Citation copied

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

235 since deposited on 2022-11-29
229last week
Acq. date: 2025-11-13

Views

129 since deposited on 2022-11-29
128last week
Acq. date: 2025-11-13

Additional indexing

Creators (Authors)

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
47

Number

Number

Number
1

Page range/Item number

Page range/Item number

Page range/Item number
84

Page end

Page end

Page end
113

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

Communication

Language

Language

Language
English

Publication date

Publication date

Publication date
2023-01-02

Date available

Date available

Date available
2022-11-29

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
2380-8977

OA Status

OA Status

OA Status
Hybrid

Free Access at

Free Access at

Free Access at
DOI

Metrics

Downloads

235 since deposited on 2022-11-29
229last week
Acq. date: 2025-11-13

Views

129 since deposited on 2022-11-29
128last week
Acq. date: 2025-11-13

Citations

Citation copied

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

Hybrid Open Access
Loading...
Thumbnail Image

Files

Files

Files
Files available to download:1

Files

Files

Files
Files available to download:1
Loading...
Thumbnail Image