Online News Verification: An AI-Based Platform for Assessing and Visualizing the Reliability of Online News Articles

Anne Grohnert, Simon Burkard, Michael John, Christian Giertz, Stefan Klose, Andreas Billig, Amelie Schmidt-Colberg, Maryam Abdullahi

2025

Abstract

Assessing the reliability of online news articles poses a significant challenge for users. This paper presents a novel digital platform that enables users to analyze German-language news articles based on various reliability-related aspects, including opinion strength, sentiment, and article dissemination. Unlike many existing approaches focused solely on detecting fake news, this platform emphasizes the comparative analysis and visualization of relevant reliability indicators across articles from different publishers. The paper provides a comprehensive overview of the current state-of-art describing various existing approaches for the detection and presentation of disinformational online content before presenting the technical system architecture and user interfaces of the designed platform. A concluding user evaluation reveals some limitations and opportunities for further developments, but showed generally positive feedback on the platform’s diverse analysis criteria and visual presentation to support users in assessing the credibility of news articles. Potential future applications range from evaluating article neutrality to verifying citations in academic contexts.

Paper Citation

in Harvard Style

Grohnert A., Burkard S., John M., Giertz C., Klose S., Billig A., Schmidt-Colberg A. and Abdullahi M. (2025). Online News Verification: An AI-Based Platform for Assessing and Visualizing the Reliability of Online News Articles. In Proceedings of the 21st International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-989-758-772-6, SciTePress, pages 412-419. DOI: 10.5220/0013778100003985

in Bibtex Style

@conference{webist25,
author={Anne Grohnert and Simon Burkard and Michael John and Christian Giertz and Stefan Klose and Andreas Billig and Amelie Schmidt-Colberg and Maryam Abdullahi},
title={Online News Verification: An AI-Based Platform for Assessing and Visualizing the Reliability of Online News Articles},
booktitle={Proceedings of the 21st International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2025},
pages={412-419},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013778100003985},
isbn={978-989-758-772-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - Online News Verification: An AI-Based Platform for Assessing and Visualizing the Reliability of Online News Articles
SN - 978-989-758-772-6
AU - Grohnert A.
AU - Burkard S.
AU - John M.
AU - Giertz C.
AU - Klose S.
AU - Billig A.
AU - Schmidt-Colberg A.
AU - Abdullahi M.
PY - 2025
SP - 412
EP - 419
DO - 10.5220/0013778100003985
PB - SciTePress