Exploring Communicative AI: Reflections from a Swedish Newsroom
Artikel i vetenskaplig tidskrift, 2023

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.

machine learning

search engine optimization

human-machine communication

communicative AI

natural language generation

Computational journalism

Författare

Agnes Stenbom

Kungliga Tekniska Högskolan (KTH)

Schibsted

Mattias Wiggberg

Kungliga Tekniska Högskolan (KTH)

Tobias Norlund

Chalmers, Data- och informationsteknik, Data Science och AI

Digital Journalism

2167-0811 (ISSN) 2167-082X (eISSN)

Vol. 11 9 1622-1640

Ämneskategorier

Mänsklig interaktion med IKT

Kommunikationsvetenskap

Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning

DOI

10.1080/21670811.2021.2007781

Mer information

Senast uppdaterat

2023-11-30