通过利益相关者理论审视警察机构和公众用户之间的Twitter提及

Yun Huang, Qunfang Wu, Youyang Hou
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引用次数: 16

摘要

警察机构越来越多地利用社交媒体进行社区警务。本文通过考察城市警察机构和公众用户在Twitter上的提及行为,来考察他们在社交媒体上的互动方式。我们对2015年6个月内14个市警机构发出的7142条推文进行了人工标注,并对15785条公众用户提到这些机构的推文进行了分类。通过利益相关者理论,我们还将10956名Twitter用户分为不同的利益相关者群体,这些用户要么提到了这些机构,要么被这些机构提到。使用定性和定量方法,我们确定了他们如何相互提及的模式。例如,机构提到了更受欢迎和当地的利益相关者,而不那么受欢迎和非当地的利益相关者则发出了更多的负面推文。我们讨论了结果对警察机构的影响,包括如何更好地识别和吸引利益相关者,并促进Twitter上的社区警务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Examining Twitter Mentions Between Police Agencies and Public Users through the Lens of Stakeholder Theory
Police agencies increasingly leverage social media for community policing. This paper examines how municipal police agencies and public users interact on social media by examining their mentioning behaviors on Twitter. We manually annotated 7,142 tweets sent by 14 municipal police agencies within 6 months in 2015, and classified 15,785 tweets where public users mentioned the agencies. Through the lens of Stakeholder Theory, we also classified 10,956 Twitter users, who either mentioned the agencies or were mentioned by the agencies, into different stakeholder groups. Using both qualitative and quantitative methods, we identified patterns of how they mentioned each other. For example, agencies mentioned more popular and local stakeholders, while less popular and non-local stakeholders sent more negative tweets. We discuss implications of the results for police agencies, which include how to better identify and engage stakeholders and foster community policing on Twitter.
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