Fighting Disinformation: Overview of Recent AI-Based Collaborative Human-Computer Interaction for Intelligent Decision Support Systems

Tim Polzehl, Tim Polzehl, Vera Schmitt, Nils Feldhus, Joachim Meyer, Sebastian Möller, Sebastian Möller

2023

Abstract

Methods for automatic disinformation detection have gained much attention in recent years, as false information can have a severe impact on societal cohesion. Disinformation can influence the outcome of elections, the spread of diseases by preventing adequate countermeasures adoption, and the formation of allies, as the Russian invasion in Ukraine has shown. Hereby, not only text as a medium but also audio recordings, video content, and images need to be taken into consideration to fight fake news. However, automatic fact-checking tools cannot handle all modalities at once and face difficulties embedding the context of information, sarcasm, irony, and when there is no clear truth value. Recent research has shown that collaborative human-machine systems can identify false information more successfully than human or machine learning methods alone. Thus, in this paper, we present a short yet comprehensive state of current automatic disinformation detection approaches for text, audio, video, images, multimodal combinations, their extension into intelligent decision support systems (IDSS) as well as forms and roles of human collaborative co-work. In real life, such systems are increasingly applied by journalists, setting the specifications to human roles according to two most prominent types of use cases, namely daily news dossiers and investigative journalism.

Paper Citation

in Harvard Style

Polzehl T., Schmitt V., Feldhus N., Meyer J. and Möller S. (2023). Fighting Disinformation: Overview of Recent AI-Based Collaborative Human-Computer Interaction for Intelligent Decision Support Systems. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP; ISBN 978-989-758-634-7, SciTePress, pages 267-278. DOI: 10.5220/0011788900003417

in Bibtex Style

@conference{hucapp23,
author={Tim Polzehl and Vera Schmitt and Nils Feldhus and Joachim Meyer and Sebastian Möller},
title={Fighting Disinformation: Overview of Recent AI-Based Collaborative Human-Computer Interaction for Intelligent Decision Support Systems},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP},
year={2023},
pages={267-278},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011788900003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP
TI - Fighting Disinformation: Overview of Recent AI-Based Collaborative Human-Computer Interaction for Intelligent Decision Support Systems
SN - 978-989-758-634-7
AU - Polzehl T.
AU - Schmitt V.
AU - Feldhus N.
AU - Meyer J.
AU - Möller S.
PY - 2023
SP - 267
EP - 278
DO - 10.5220/0011788900003417
PB - SciTePress