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Web Content Mining for Comparing Corporate and Third-Party Online Reporting: a Case Study on Solid Waste Management

机译:比较公司和第三方在线报告的Web内容挖掘:以固体废物管理为例

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摘要

This study investigates the coverage of solid waste management on 1142 websites maintained by companies, news media and non-governmental organizations to validate an automated approach to content and language analysis. First, a frequency analysis of waste management terms sheds light on the breadth and depth of their environmental discourses, revealing that corporate and media attention to waste management is small compared with that of non-governmental organizations. Second, an investigation of their attitudes toward waste management suggests that companies avoid negative information in environmental communication, unlike news media or non-governmental organizations. Ultimately, an automated tool for ontology building is employed to gain insights into companies' shared understanding of waste management. The ontology obtained indicates that companies conceptualize waste management as a business process rather than framing it from an ecological perspective, which is in line with findings from previous research.
机译:这项研究调查了公司,新闻媒体和非政府组织维护的1142个网站上的固体废物管理覆盖面,以验证内容和语言分析的自动化方法。首先,对废物管理术语的频率分析揭示了其环境话语的广度和深度,表明与非政府组织相比,企业和媒体对废物管理的关注很小。第二,对他们对废物管理的态度进行的调查表明,与新闻媒体或非政府组织不同,公司避免在环境交流中使用负面信息。最终,采用了一种用于本体构建的自动化工具来深入了解公司对废物管理的共同理解。所获得的本体表明,公司将废物管理概念化为业务流程,而不是从生态学角度对其进行构架,这与以前的研究结果一致。

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