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

Yun Huang; Qunfang Wu; Youyang Hou

doi:10.1145/3085228.3085316

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

Yun Huang, Qunfang Wu, Youyang Hou

School of Information Studies

Research output: Chapter in Book/Entry/Poem › Conference contribution

16 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 language	English (US)
Title of host publication	DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research
Subtitle of host publication	Innovations and Transformations in Government
Editors	Charles C. Hinnant, Adegboyega Ojo
Publisher	Association for Computing Machinery
Pages	30-38
Number of pages	9
ISBN (Electronic)	9781450353175
DOIs	https://doi.org/10.1145/3085228.3085316
State	Published - Jun 7 2017
Event	18th Annual International Conference on Digital Government Research, DG.O 2017 - Staten Island, United States Duration: Jun 7 2017 → Jun 9 2017

Publication series

Name	ACM International Conference Proceeding Series
Volume	Part F128275

Other

Other	18th Annual International Conference on Digital Government Research, DG.O 2017
Country/Territory	United States
City	Staten Island
Period	6/7/17 → 6/9/17

Keywords

Community policing
Stakeholder theory
Twitter mentions

ASJC Scopus subject areas

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

Access to Document

10.1145/3085228.3085316

Cite this

Huang, Y., Wu, Q., & Hou, Y. (2017). Examining Twitter Mentions Between Police Agencies and Public Users through the Lens of Stakeholder Theory. In C. C. Hinnant, & A. Ojo (Eds.), DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government (pp. 30-38). (ACM International Conference Proceeding Series; Vol. Part F128275). Association for Computing Machinery. https://doi.org/10.1145/3085228.3085316

Examining Twitter Mentions Between Police Agencies and Public Users through the Lens of Stakeholder Theory. / Huang, Yun; Wu, Qunfang; Hou, Youyang.
DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government. ed. / Charles C. Hinnant; Adegboyega Ojo. Association for Computing Machinery, 2017. p. 30-38 (ACM International Conference Proceeding Series; Vol. Part F128275).

Research output: Chapter in Book/Entry/Poem › Conference contribution

Huang, Y, Wu, Q & Hou, Y 2017, Examining Twitter Mentions Between Police Agencies and Public Users through the Lens of Stakeholder Theory. in CC Hinnant & A Ojo (eds), DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government. ACM International Conference Proceeding Series, vol. Part F128275, Association for Computing Machinery, pp. 30-38, 18th Annual International Conference on Digital Government Research, DG.O 2017, Staten Island, United States, 6/7/17. https://doi.org/10.1145/3085228.3085316

Huang Y, Wu Q, Hou Y. Examining Twitter Mentions Between Police Agencies and Public Users through the Lens of Stakeholder Theory. In Hinnant CC, Ojo A, editors, DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government. Association for Computing Machinery. 2017. p. 30-38. (ACM International Conference Proceeding Series). doi: 10.1145/3085228.3085316

Huang, Yun ; Wu, Qunfang ; Hou, Youyang. / Examining Twitter Mentions Between Police Agencies and Public Users through the Lens of Stakeholder Theory. DG.O 2017 - Proceedings of the 18th Annual International Conference on Digital Government Research: Innovations and Transformations in Government. editor / Charles C. Hinnant ; Adegboyega Ojo. Association for Computing Machinery, 2017. pp. 30-38 (ACM International Conference Proceeding Series).

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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.",

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AB - 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.

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

Abstract

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Keywords

ASJC Scopus subject areas

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