Examining Twitter Mentions Between Police Agencies and Public Users through the Lens of Stakeholder Theory

Yun Huang, Qunfang Wu, Youyang Hou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

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 classi€ed 15,785 tweets where public users mentioned the agencies. .rough the lens of Stakeholder Theory, we also classi€ed 10,956 Twitter users, who either mentioned the agencies or were mentioned by the agencies, into di.erent stakeholder groups. Using both qualitative and quantitative methods, we identi€ed pa.erns 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 be.er identify and engage stakeholders and foster community policing on Twitter.

Original languageEnglish (US)
Title of host publicationDG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research
Subtitle of host publicationInnovations and Transformations in Government
PublisherAssociation for Computing Machinery
Pages30-38
Number of pages9
VolumePart F128275
ISBN (Electronic)9781450353175
DOIs
StatePublished - Jun 7 2017
Event18th Annual International Conference on Digital Government Research, DG.O 2017 - Staten Island, United States
Duration: Jun 7 2017Jun 9 2017

Other

Other18th Annual International Conference on Digital Government Research, DG.O 2017
CountryUnited States
CityStaten Island
Period6/7/176/9/17

Keywords

  • Community policing
  • Stakeholder theory
  • Twitter mentions

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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