Introduction to AI journalism: Framework and ontology of the trans-domain field for integrating AI into journalism

IF 0.4 Q4 COMMUNICATION
W. Zhang, José Manuel Pérez Tornero
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引用次数: 2

Abstract

Artificial Intelligence (AI) is being introduced to news routines. There is a need for theoretical framework to instruct the AI-adopting process and better integrate the cross-domain knowledge. This article attempts to explicate the major transformations AI brings to news systems, i.e., automated writing and personalization at scale. In light of the transformations, the tension between AI and human journalists has drawn attention. In order to unravel the accompanied conundrums, we propound a new notion – AI journalism, which is a trans-domain field of various categories, deriving from journalism automation. We propose to build AI journalism ontology that can manifest the emerging phenomenon in news ecosystem where intelligent machines and human journalists are coexisting. This article’s ultimate contribution is proffering a new framework and a transdisciplinary field to examine the integration of AI and associated technologies into journalism.
人工智能新闻导论:将人工智能融入新闻的跨领域框架和本体
人工智能(AI)正在被引入新闻节目。需要一个理论框架来指导人工智能的采用过程,更好地整合跨领域知识。本文试图解释人工智能给新闻系统带来的主要转变,即大规模的自动化写作和个性化。鉴于这些转变,人工智能和人类记者之间的紧张关系引起了人们的关注。为了解开随之而来的难题,我们提出了一个新的概念——人工智能新闻,这是一个跨领域的多类别领域,衍生自新闻自动化。我们提出构建AI新闻本体,以体现智能机器与人类记者共存的新闻生态系统的新兴现象。本文的最终贡献是提供了一个新的框架和一个跨学科的领域来研究人工智能和相关技术与新闻的整合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
20
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