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Air pollution online: everyday environmental information on the social media site Sina Weibo

机译:在线空气污染:社交媒体网站新浪微博上的日常环境信息

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Purpose - The purpose of this paper is to explore how information on air pollution is shaped online on an everyday basis, with a particular emphasis on digital devices and digital representations as constitutive of environmental information practices. Furthermore, this research highlights an understudied aspect of air pollution - the digital flow of multimodal representations that citizens encounter and produce in their everyday life. Design/methodology/approach - The information gathering was carried out on an everyday basis during February-March 2017. The study is based on 403 microblog posts from the social media site Sina Weibo, and netnographic fieldwork, including the observation of news, advertisements, and diary writing. The collected data were mapped in clusters based on the interrelations of objects, agents, and activities, and analyzed in depth using qualitative multimodal analysis. Findings - Information enacted through specific socio-materialist configurations depicts air pollution as self-contained and separated from human action. Air quality apps are central in connecting a wider nexus of representations and promoting such perceptions, illustrating the role of digital devices in an everyday information context. Social implications - The study reveals a schism between Chinese political environmental visions and everyday environmental information practices, which raises questions of how the battle against air pollution can be sustained in the long term. Originality/value - This study suggests that digital material aspects - inbuilt applications of digital devices and digital representations of objects - are interrelated with physical experiences of air pollution, and thus constitute elements of practice in their own right.
机译:目的-本文的目的是探讨如何每天在线形成有关空气污染的信息,特别强调构成环境信息实践的数字设备和数字表示。此外,这项研究还强调了空气污染的一个尚未被研究的方面-市民在日常生活中遇到和产生的多模式表示的数字流。设计/方法/方法-信息收集在2017年2月至3月期间每天进行。该研究基于社交媒体网站新浪微博上的403条微博帖子以及网络实地考察,包括观察新闻,广告,和日记写作。基于对象,代理和活动之间的相互关系,将收集的数据映射到聚类中,并使用定性多峰分析进行深入分析。调查结果-通过特定的社会唯物主义配置所散发的信息将空气污染描述为自给自足且与人类行为分离。空气质量应用程序在连接更广泛的表示形式并促进这种认知方面至关重要,可以说明数字设备在日常信息环境中的作用。社会意义-该研究揭示了中国政治环境愿景与日常环境信息实践之间的分歧,这引发了人们对如何长期保持与空气污染之战的质疑。原创性/价值-这项研究表明,数字物质方面-数字设备的内置应用和对象的数字表示-与空气污染的物理经验相互关联,因此本身就是实践的要素。

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