Media Framing of Dominant Ideologies in Explanatory Journalism Concerning Artificial Intelligence and Robotics

IF 0.8 Q3 COMMUNICATION

Canadian Journal of Communication Pub Date : 2023-12-01 DOI:10.3138/cjc-2022-0017

Lauren Dwyer, Charlotte Crawford, Frauke Zeller

引用次数: 0

Abstract

Background: This case study investigates how dominant narratives and hegemonic ideals shape technological discourses in explanatory journalism. It examines dominant media frames in articles on technology, artificial intelligence (AI), and robotics in a multinational outlet for explanatory journalism. Analysis: Before and during the first wave of the COVID-19 pandemic, media frames in articles on the aforementioned topics were analyzed to determine their prevalence and impact. Conclusions and implications: Framing robotic and AI-powered technologies shapes the perception of these technologies and of the institutional bodies surrounding them. This research explores connections and considers the initial impact of COVID-19 on the use of media frames and hegemonic narratives.

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在有关人工智能和机器人的解释性新闻中，媒体对主流意识形态的定格

背景：本案例研究探讨了主流叙事和霸权理想如何塑造解释性新闻中的技术话语。它研究了一家跨国解释性新闻媒体中有关技术、人工智能（AI）和机器人的文章中的主流媒体框架。分析：在第一波 COVID-19 大流行之前和期间，分析了上述主题文章中的媒体框架，以确定其普遍性和影响。结论与影响：对机器人和人工智能技术的框架塑造了人们对这些技术以及围绕这些技术的机构的看法。本研究探讨了 COVID-19 对媒体框架和霸权叙事的使用所产生的联系和初步影响。

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

Canadian Journal of Communication COMMUNICATION-

CiteScore

0.80

自引率

20.00%

发文量

期刊介绍： The objective of the Canadian Journal of Communication is to publish Canadian research and scholarship in the field of communication studies. In pursuing this objective, particular attention is paid to research that has a distinctive Canadian flavour by virtue of choice of topic or by drawing on the legacy of Canadian theory and research. The purview of the journal is the entire field of communication studies as practiced in Canada or with relevance to Canada. The Canadian Journal of Communication is a print and online quarterly. Back issues are accessible with a 12 month delay as Open Access with a CC-BY-NC-ND license. Access to the most recent year''s issues, including the current issue, requires a subscription. Subscribers now have access to all issues online from Volume 1, Issue 1 (1974) to the most recently published issue.