Representation of autism in Vietnamese digital news media: a computational corpus and framing analysis

IF 1.2 Q3 COMMUNICATION Communication Research and Practice Pub Date : 2023-02-07 DOI:10.1080/22041451.2023.2167510
Nguyễn Yến-Khanh
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引用次数: 2

Abstract

ABSTRACT This paper examines news media coverage on autism, a public health issue in Vietnam. Computational corpus analysis and framing analysis of Vietnamese digital news media of over 580,000 words are deemed useful methods for big data analysis. The language patterns, extracted by WordSmith software, suggest autism is framed primarily as a medical problem and a family issue, not a matter of social policy or an aspect of human diversity. Noticeably, individuals with autism are expected to integrate to fit in with the community, not the other way around, where the society acts as an agent to accommodate autism diversity within an inclusive environment. The study finds the under-represented voices of individuals with autism and family actors, and the dominant voices of healthcare, education, and other professionals, along with the absence of government authorities in the media corpus.
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自闭症在越南数字新闻媒体中的表现:一个计算语料库和框架分析
摘要:本文考察了越南新闻媒体对自闭症这一公共卫生问题的报道。越南超过58万字的数字新闻媒体的计算语料库分析和框架分析被认为是有用的大数据分析方法。由WordSmith软件提取的语言模式表明,自闭症主要被定义为一个医疗问题和一个家庭问题,而不是社会政策问题或人类多样性的一个方面。值得注意的是,自闭症患者被期望融入社会,而不是相反,社会作为一个中介,在一个包容的环境中适应自闭症的多样性。该研究发现,自闭症患者和家庭参与者的声音被低估,而医疗保健、教育和其他专业人士的声音占主导地位,同时在媒体语料库中缺乏政府当局。
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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CiteScore
2.40
自引率
8.30%
发文量
21
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