Exploring Communicative AI: Reflections from a Swedish Newsroom
Artikel i vetenskaplig tidskrift, 2021

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.

natural language generation

Computational journalism

search engine optimization

communicative AI

human-machine communication

machine learning

Författare

Agnes Stenbom

Schibsted

Kungliga Tekniska Högskolan (KTH)

Mattias Wiggberg

Kungliga Tekniska Högskolan (KTH)

Tobias Norlund

Data Science och AI

DIGITAL JOURNALISM

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

Vol. In Press

Ämneskategorier

Mänsklig interaktion med IKT

Kommunikationsvetenskap

Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning

DOI

10.1080/21670811.2021.2007781

Mer information

Senast uppdaterat

2022-02-21