Trustworthy journalism through AI

Trustworthy journalism through AI

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 press...

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Bibliographic Details
Published in:Data & knowledge engineering Vol. 146; p. 102182
Main Authors: Opdahl, Andreas L, Tessem, Bjørnar, Dang-Nguyen, Duc-Tien, Motta, Enrico, Setty, Vinay, Throndsen, Eivind, Tverberg, Are, Trattner, Christoph
Format: Journal Article
Language:English
Published: Elsevier B.V 01-07-2023
Subjects:
Artificial Intelligence
Journalism
News Production
Trustworthiness
Journalism
News Production
Trustworthiness
Artificial Intelligence
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Summary: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.
ISSN:0169-023X
1872-6933
DOI:10.1016/j.datak.2023.102182