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Exploring Communicative AI: Reflections from a Swedish Newsroom
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.). Schibsted, Stockholm, Sweden.ORCID iD: 0000-0002-0093-6859
KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.).ORCID iD: 0000-0001-9636-1545
Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden.
2023 (English)In: Digital Journalism, ISSN 2167-0811, E-ISSN 2167-082X, Vol. 11, no 9, p. 1622-1640Article in journal (Refereed) Published
Abstract [en]

This article contributes to the emerging field of research on computational journalism with a practical illustration of an attempt to utilize Machine Learning to generate Search Engine Optimized headlines in a major Swedish newsroom. By using its technical results as a springboard for reflections among internal stakeholders, the experiment serves as a catalyzing innovation revealing deliberations on computational approaches in journalism in general and communicative Artificial Intelligence (AI) in specific. The study concludes with three ideas to support decision makers involved in evaluating potential use cases for communicative AI in journalism.

Place, publisher, year, edition, pages
Informa UK Limited , 2023. Vol. 11, no 9, p. 1622-1640
Keywords [en]
communicative AI, Computational journalism, human–machine communication, machine learning, natural language generation, search engine optimization
National Category
Media and Communication Studies Artificial Intelligence
Identifiers
URN: urn:nbn:se:kth:diva-313430DOI: 10.1080/21670811.2021.2007781ISI: 000725462300001Scopus ID: 2-s2.0-85120992530OAI: oai:DiVA.org:kth-313430DiVA, id: diva2:1663938
Note

QC 20250401

Available from: 2022-06-03 Created: 2022-06-03 Last updated: 2025-04-01Bibliographically approved

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Stenbom, AgnesWiggberg, Mattias

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