Abstract
Municipal police departments are leveraging social media platforms to support their missions. In this paper, we understand what they post on Facebook daily, and people's engagement with these government agencies on the social media platform. First, we collected and manually annotated 6,825 posts sent by four agencies (i.e., NYPD, LAPD, Baltimore PD and Cleveland PD) in 2014. We developed a two-Tier code scheme to identify the purpose of a post and its topic. We then analyzed user engagement (e.g., likes, shares, and comments) with different post types (i.e., photo, video, status, and link) and topics (e.g., crime, traffic etc.). We identified interesting patterns of user engagement, and further validated the major findings by classifying and examining 33,103 posts sent by 52 large municipal police departments in 2015. Our results provide practical insights for police administrators and community members who are working on community policing frameworks.
Original language | English (US) |
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Title of host publication | dg.o 2016 - Proceedings of the 17th Annual International Conference on Digital Government Research - Internet Plus Government: New Opportunities to Solve Public Problems |
Publisher | Association for Computing Machinery |
Pages | 366-374 |
Number of pages | 9 |
Volume | 08-10-June-2016 |
ISBN (Electronic) | 9781450343398 |
DOIs | |
State | Published - Jun 8 2016 |
Externally published | Yes |
Event | 17th Annual International Conference on Digital Government Research, dg.o 2016 - Shanghai, China Duration: Jun 8 2016 → Jun 10 2016 |
Other
Other | 17th Annual International Conference on Digital Government Research, dg.o 2016 |
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Country/Territory | China |
City | Shanghai |
Period | 6/8/16 → 6/10/16 |
Keywords
- Community Policing
- E-Government
- Law Enforcement Agencies
- Police Department
- Public Safety
- Social Media
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software