媒体的党派倾向会影响对人工智能问题的新闻报道吗？人工智能问题的媒体报道分析

IF 3 2区社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Social Science Computer Review Pub Date : 2024-09-02 DOI:10.1177/08944393241268526

Mikyung Chang

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引用次数: 0

摘要

本研究旨在分析有关人工智能（AI）问题的新闻报道，并强调基于媒体党派立场的报道特点和差异。通过研究韩国媒体中与人工智能相关的新闻，本研究揭示了保守派和进步派媒体是如何以不同的方式报道这一问题的。分析发现，保守派媒体的报道主要集中在积极方面，强调发展价值框架，如人工智能带来的好处和社会进步。相比之下，进步媒体往往强调危机价值框架，关注人工智能的副作用、伦理问题和立法等问题。这些党派差异反映了基本的社会优先事项，并影响着公共讨论和政策议程。要就人工智能的社会意义促进知情的公共对话，并推动基于证据的决策，了解媒体的框架至关重要。通过认识党派偏见并批判性地评估媒体报道，公民可以超越意识形态分歧参与建设性对话。本研究强调了媒体在促进有关人工智能未来发展轨迹的跨学科讨论以及为社会应对其影响做好准备方面所发挥的作用。最终，以证据为基础的公共讨论对于制定负责任的人工智能政策和降低数字时代的潜在风险至关重要。

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Does the Media’s Partisanship Influence News Coverage on Artificial Intelligence Issues? Media Coverage Analysis on Artificial Intelligence Issues

This study aims to analyze news coverage on artificial intelligence (AI) issues and highlight the characteristics and differences in reporting based on media partisanship. By examining AI-related news in the South Korean media, this study reveals how conservative and progressive outlets frame the issue differently. The analysis found that conservative media coverage predominantly focuses on positive aspects, emphasizing development value frames such as the benefits and societal progress brought by AI. In contrast, progressive media often highlight crisis value frames, focusing on issues like side effects, ethical concerns, and legislation surrounding AI. These partisan differences reflect fundamental societal priorities and influence public discourse and policy agendas. Understanding media framing is crucial for fostering informed public dialogue on the societal significance of AI and promoting evidence-based decision-making. By recognizing partisan biases and critically evaluating media coverage, citizens can engage in constructive discourse beyond ideological divides. This study underscores the role of the media in promoting interdisciplinary discussions about the future trajectory of AI and in preparing society for its impacts. Ultimately, evidence-based public discourse is essential for shaping responsible AI policies and mitigating potential risks in the digital age.

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来源期刊

Social Science Computer Review 社会科学-计算机：跨学科应用

CiteScore

9.00

自引率

4.90%

发文量

审稿时长

>12 weeks

期刊介绍： Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.