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Trustworthy journalism through AI.

Authors :
Opdahl, Andreas L
Tessem, Bjørnar
Dang-Nguyen, Duc-Tien
Motta, Enrico
Setty, Vinay
Throndsen, Eivind
Tverberg, Are
Trattner, Christoph
Source :
Data & Knowledge Engineering. Jul2023, Vol. 146, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Quality journalism has become more important than ever due to the need for quality and trustworthy media outlets that can provide accurate information to the public and help to address and counterbalance the wide and rapid spread of disinformation. At the same time, quality journalism is under pressure due to loss of revenue and competition from alternative information providers. This vision paper discusses how recent advances in Artificial Intelligence (AI), and in Machine Learning (ML) in particular, can be harnessed to support efficient production of high-quality journalism. From a news consumer perspective, the key parameter here concerns the degree of trust that is engendered by quality news production. For this reason, the paper will discuss how AI techniques can be applied to all aspects of news, at all stages of its production cycle, to increase trust. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0169023X
Volume :
146
Database :
Academic Search Index
Journal :
Data & Knowledge Engineering
Publication Type :
Academic Journal
Accession number :
170085549
Full Text :
https://doi.org/10.1016/j.datak.2023.102182