Exploring Communicative AI: Reflections from a Swedish Newsroom
Journal article, 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

Author

Agnes Stenbom

Royal Institute of Technology (KTH)

Schibsted

Mattias Wiggberg

Royal Institute of Technology (KTH)

Tobias Norlund

Chalmers, Computer Science and Engineering (Chalmers), Data Science and AI

Digital Journalism

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

Vol. 11 9 1622-1640

Subject Categories

Human Aspects of ICT

Communication Studies

Information Systemes, Social aspects

DOI

10.1080/21670811.2021.2007781

More information

Latest update

11/30/2023