Trustworthy journalism through AI

被引：21

作者：

Opdahl, Andreas L. ^{[1
]}

Tessem, Bjornar ^{[1
]}

Dang-Nguyen, Duc-Tien ^{[1
]}

Motta, Enrico ^{[1
]}

Setty, Vinay ^{[3
]}

Throndsen, Eivind ^{[2
,4
]}

Tverberg, Are ^{[5
]}

Trattner, Christoph ^{[1
]}

机构：

[1] Univ Bergen, Bergen, Norway

[2] Open Univ, Milton Keynes, England

[3] Univ Stavanger, Stavanger, Norway

[4] Schibsted, Oslo, Norway

[5] TV 2, Bergen, Norway

来源：

DATA & KNOWLEDGE ENGINEERING | 2023年 / 146卷

关键词：

Artificial Intelligence; Journalism; News Production; Trustworthiness; REPRESENTATION; ARCHITECTURE; LEGITIMACY; CHATGPT;

D O I：

10.1016/j.datak.2023.102182

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页数：17

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