Concerns about the role of artificial intelligence in journalism, and media manipulation

IF 2.7 2区 文学 Q1 COMMUNICATION Journalism Pub Date : 2024-06-20 DOI:10.1177/14648849241263293
Simon Mahony, Qing Chen
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Abstract

Artificial Intelligence is a term used frequently in academic and other writing, but do we have a clear understanding of what it means? This article starts from first principles, taking a dialectic approach, to raise questions rather than give prescriptive answers. It unpacks some specific examples of the use of AI in journalism and automated approaches to news reporting. The manipulation of media has become commonplace and of greater interest as information itself can be used as an effective weapon to sow confusion and disruption, socially as well as politically. AI depends on the training data and modelling, but the sampling and engineering is done by humans with all the potential for bias, whether intentional or not. Biased datasets and the potential for uncertainty are constant dangers; we need to understand both the data and the processes that go into the AI-driven results, and always be prepared to question everything.
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对人工智能在新闻业中的作用以及媒体操纵的担忧
人工智能是一个在学术和其他文章中经常使用的术语,但我们对它的含义有清晰的认识吗?本文从最初的原则出发,采用辩证的方法,提出问题而不是给出规定性的答案。文章将举例说明人工智能在新闻业中的应用以及新闻报道的自动化方法。对媒体的操纵已变得司空见惯,而且更加引人关注,因为信息本身可以作为一种有效的武器,在社会和政治上制造混乱和破坏。人工智能依赖于训练数据和建模,但取样和工程是由人类完成的,无论有意还是无意,都有可能产生偏差。有偏见的数据集和潜在的不确定性是持续存在的危险;我们需要了解数据和人工智能驱动结果的过程,并时刻准备质疑一切。
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来源期刊
Journalism
Journalism COMMUNICATION-
CiteScore
7.90
自引率
10.30%
发文量
123
期刊介绍: Journalism is a major international, peer-reviewed journal that provides a dedicated forum for articles from the growing community of academic researchers and critical practitioners with an interest in journalism. The journal is interdisciplinary and publishes both theoretical and empirical work and contributes to the social, economic, political, cultural and practical understanding of journalism. It includes contributions on current developments and historical changes within journalism.
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