Navigating the Research Landscape of Algorithm-Driven Journalism: A Systematic Literature Review of Authorship, Research Trends, and Future Research Pathways

Journalism Studies (2025), Vol. 26, No. 5, 541–567. https://doi.org/10.1080/1461670X.2024.2446326



Autor: 

  • Aynur Sarısakaloğlu, Institute of Media and Communication Science, Technische Universität Ilmenau, Ilmenau, Germany.
     aynur.sarisakaloglu@tu-ilmenau.de
     https://orcid.org/0000-0002-1166-7084

Keywords: Algorithm-driven journalism;artificial intelligence;automated journalism;computational journalism;journalism research;systematic literature review. 

Abstract: The increasing adoption of algorithmic technologies in newsroomsand the ensuing profound transformations in journalism have led toa considerable surge in scholarly research. However, a systematicunderstanding of the developments within the field of algorithm-driven journalism, which encompasses all application areas ofautomation and artificial intelligence technologies in journalism, iscurrently lacking. To this end, this study aims to bridge the existingacademic gap by mapping the research landscape of algorithm-driven journalism through an exploratory qualitative andquantitative systematic literature review (2011–2022) thatinvestigates the full spectrum of English-language articles publishedin peer-reviewed journals across ten databases within the disciplinesof communication studies and computer science. The originality ofthis study relies on its mixed-method and interdisciplinary approachto scrutinising the widespread integration of algorithmic systems injournalism, which has not been systematically synthesised to date.Building upon the results obtained from a corpus of 348 articles,this study (1) provides insights into the characteristics of authorship,(2) identifies research trends, and (3) synthesises potential researchdirections addressed by scholars. This article is the first of its kind,making a valuable contribution by laying the groundwork for futureresearch endeavours.

Idioma: Inglés. 

Publicación: 9 de enero del 2025

Volumen: Journalism Studies (2025), Vol. 26, No. 5, 541–567. 

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