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首页> 外文期刊>International Journal of Environmental Research and Public Health >The Online Dissemination of Nature–Health Concepts: Lessons from Sentiment Analysis of Social Media Relating to “Nature-Deficit Disorder”
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The Online Dissemination of Nature–Health Concepts: Lessons from Sentiment Analysis of Social Media Relating to “Nature-Deficit Disorder”

机译：自然健康概念的在线传播：社交媒体与“自然缺陷症”相关的情感分析的经验教训

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Evidence continues to grow supporting the idea that restorative environments, green exercise, and nature-based activities positively impact human health. Nature-deficit disorder , a journalistic term proposed to describe the ill effects of people’s alienation from nature, is not yet formally recognized as a medical diagnosis. However, over the past decade, the phrase has been enthusiastically taken up by some segments of the lay public. Social media, such as Twitter , with its opportunities to gather “big data” related to public opinions, offers a medium for exploring the discourse and dissemination around nature-deficit disorder and other nature–health concepts. In this paper, we report our experience of collecting more than 175,000 tweets, applying sentiment analysis to measure positive, neutral or negative feelings, and preliminarily mapping the impact on dissemination. Sentiment analysis is currently used to investigate the repercussions of events in social networks, scrutinize opinions about products and services, and understand various aspects of the communication in Web-based communities. Based on a comparison of nature-deficit-disorder “hashtags” and more generic nature hashtags, we make recommendations for the better dissemination of public health messages through changes to the framing of messages. We show the potential of Twitter to aid in better understanding the impact of the natural environment on human health and wellbeing.
机译：越来越多的证据支持恢复性环境，绿色运动和基于自然的活动对人类健康产生积极影响的观点。自然赤字障碍是一个新闻术语，旨在描述人们与自然疏离的不良影响，目前尚未被正式认可为医学诊断。然而，在过去的十年中，该短语已被一些非专业人士热情地接受。诸如Twitter之类的社交媒体有机会收集与民意相关的“大数据”，为探讨有关自然缺陷障碍和其他自然健康概念的论述和传播提供了一种媒介。在本文中，我们报告了我们收集超过175,000条推文，应用情感分析来衡量正面，中性或负面感觉并初步绘制对传播影响的经验。情感分析目前用于调查社交网络中事件的影响，审查有关产品和服务的意见，并了解基于Web的社区中交流的各个方面。在比较自然缺陷障碍“主题标签”和更通用的自然主题标签的基础上，我们提出了一些建议，以通过更改信息框架来更好地传播公共卫生信息。我们展示了Twitter的潜力，可以帮助人们更好地理解自然环境对人类健康和福祉的影响。

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