Do Users Really Care? Evaluating the User Perception of Disclosing AI-Generated Content on Credibility in (Sports) Journalism

AI-generated journalism (robot journalism) enables the automated creation of news articles through Artificial Intelligence (AI). Especially in sports reporting robot journalism enables providers to publish standardized match reports quickly after sporting events (e.g. soccer games). This study examines the influence of disclosing the type of origin (human and AI) on the perception of the credibility of sports reporting. For this purpose, an quantitative online survey was conducted with 154 participants, where two match reports about the same soccer game were compared: One of these reports was written by a journalist, while the other was AI-generated. The participants were divided into three groups, with varying disclosures on the type of origin (no disclosure, correct disclosure, manipulated disclosure). The analysis showed that the origin disclosures had no significant influence on credibility. Both expertise and trustworthiness were rated similarly. Since readers are indifferent about the source of information, this suggests that the use of AI in sports reporting can be useful to increase efficiency. However, in a wider sense, this indifference poses challenges to policymakers trying to contain the spread of misinformation and fake news based on the use of AI.

Authors

Institutions

Publication Details

Published
2024-08-26
DOI
https://doi.org/10.1145/3670653.3677490
Citations
6
Primary Topic
Information and Cyber Security
Type
article
Field-Weighted Citation Impact
4.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Do Users Really Care? Evaluating the User Perception of Disclosing AI-Generated Content on Credibility in (Sports) Journalism

Martin Huschens, Alexander Rössner, Marie Cassel
6 citations
Information and Cyber Security
4.67
article

Do Users Really Care? Evaluating the User Perception of Disclosing AI-Generated Content on Credibility in (Sports) Journalism

Martin Huschens, Alexander Rössner, Marie Cassel
article en
6 citations

Abstract

AI-generated journalism (robot journalism) enables the automated creation of news articles through Artificial Intelligence (AI). Especially in sports reporting robot journalism enables providers to publish standardized match reports quickly after sporting events (e.g. soccer games). This study examines the influence of disclosing the type of origin (human and AI) on the perception of the credibility of sports reporting. For this purpose, an quantitative online survey was conducted with 154 participants, where two match reports about the same soccer game were compared: One of these reports was written by a journalist, while the other was AI-generated. The participants were divided into three groups, with varying disclosures on the type of origin (no disclosure, correct disclosure, manipulated disclosure). The analysis showed that the origin disclosures had no significant influence on credibility. Both expertise and trustworthiness were rated similarly. Since readers are indifferent about the source of information, this suggests that the use of AI in sports reporting can be useful to increase efficiency. However, in a wider sense, this indifference poses challenges to policymakers trying to contain the spread of misinformation and fake news based on the use of AI.

University of Applied Sciences Mainz (DE)
Openalex Percentile: Top 5%
Information and Cyber Security
4.67
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.