研究向流动人口传播的灾害相关信息的内容

Maho Aikawa, Koto Akiyoshi
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引用次数: 0

摘要

许多地方政府,尤其是日本的地方政府,在其灾害教育项目中向移民传播与灾害相关的多语种信息,以使其减少灾害风险(DRR)政策更具包容性。然而,人们对通过此类项目传播的信息的具体内容,以及如何或为何选择这些内容知之甚少。本研究以日本冈山县及其主要城市冈山市为例,确定了多语言灾害相关信息的内容及其选择背后的假设。为此,我们对这些地方政府发布的多语种灾害相关信息的内容进行了归纳分析,重点关注:(1)传播了什么和没有传播什么;(2)政府如何看待流动人口;(3)针对流动人口的信息传播目标。对冈山地方政府通过信息手册和 YouTube 视频传播的信息进行定性内容分析后发现,其内容主要涉及呼吁移民积极采取预防和减少危害的措施,以及获取前提知识(如有关灾害及其管理的知识)。讨论了这些内容背后的基本假设和期望(例如,行为改变是如何发生的,自给自足是备灾的期望),以及与这些假设相关的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Examining the Content of Disaster-Related Information Disseminated to a Migrant Population
Many local governments, especially in Japan, disseminate multilingual disaster-related information to migrants as part of their disaster education programs to make their disaster risk reduction (DRR) policies more inclusive. However, little is known about the specific content of the information disseminated through such programs and how or why that content is selected. Using an example case of Okayama Prefecture in Japan and its principal city, Okayama City, the current study identifies the content of multilingual disaster-related information, as well as the assumptions behind its selection. To this end, the content of multilingual disaster-related information disseminated by these local governments was inductively analyzed, focusing on (1) what is and is not communicated, (2) how the government views the migrant population, and (3) their goals of information dissemination targeting migrants. As a result of conducting a qualitative content analysis on information disseminated by the Okayama local governments via information booklets and a YouTube video, it was found that the content was largely concerned with calling migrants to be proactive in taking preventive and harm reduction measures, as well as acquiring prerequisite knowledge (e.g., about disasters and their management). The underlying assumptions and expectations behind this content (e.g., how a behavioral change occurs and self-sufficiency as an expectation in disaster preparedness) are discussed, as well as issues associated with these assumptions.
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