News audiences’ acceptance of generative artificial intelligence in journalism: a use case study across three domains

News audiences’ acceptance of generative AI (GenAI) in journalism is shaped by their knowledge of (or direct experience with) what AI is, what it can do, and what implications its use has. Acknowledging this, the present study draws on the technology acceptance model to first explore what a sample of news audiences in two countries knows about GenAI and what their experiences, if any, with it have been to date. Next, it explores this sample's acceptance of use cases that demonstrate how AI is – or could be – used in journalism. It does this by using in-depth interviews with 60 participants to introduce or re-introduce 23 use cases to them and ask them how accepting they are of journalists using each. Acceptance depended on how AI was used, how transparent the use was, whether the use impacted accuracy, and whether legal and other ethical considerations were appropriately attended to.

Authors

Institutions

Publication Details

Journal
Media International Australia
Published
2026-04-21
DOI
https://doi.org/10.1177/1329878x261441933
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

News audiences’ acceptance of generative artificial intelligence in journalism: a use case study across three domains

Michelle E. Riedlinger, Edina Strikovic, Ryan J. Thomas, Hannes Cools et al.
Media International Australia
Ethics and Social Impacts of AI
article

News audiences’ acceptance of generative artificial intelligence in journalism: a use case study across three domains

Michelle E. Riedlinger, Edina Strikovic, Ryan J. Thomas, Hannes Cools, Rachael Anderson, T.J. Thomson, Rebecca Venema, Oscar Toohey, Caroline Gardam, Jean Burgess
article en

Abstract

News audiences’ acceptance of generative AI (GenAI) in journalism is shaped by their knowledge of (or direct experience with) what AI is, what it can do, and what implications its use has. Acknowledging this, the present study draws on the technology acceptance model to first explore what a sample of news audiences in two countries knows about GenAI and what their experiences, if any, with it have been to date. Next, it explores this sample's acceptance of use cases that demonstrate how AI is – or could be – used in journalism. It does this by using in-depth interviews with 60 participants to introduce or re-introduce 23 use cases to them and ask them how accepting they are of journalists using each. Acceptance depended on how AI was used, how transparent the use was, whether the use impacted accuracy, and whether legal and other ethical considerations were appropriately attended to.

Media International Australia
Queensland University of Technology (AU), MIT University (MK), Washington State University (US), RMIT University (AU), University of Amsterdam (NL)
Australian Research Council
Openalex Percentile: Top 14%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

News audiences’ acceptance of generative artificial intelligence in journalism: a use case study across three domains — Michelle E. Riedlinger, Edina Strikovic, et al. · Media International Australia (2026) | TGRS Research Map | TGRS