TY - GEN
T1 - Municipal police departments on Facebook
T2 - 17th Annual International Conference on Digital Government Research, dg.o 2016
AU - Huang, Yun
AU - Huo, Sen
AU - Yao, Yaxing
AU - Chao, Niu
AU - Wang, Yang
AU - Grygiel, Jennifer
AU - Sawyer, Steve
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/6/8
Y1 - 2016/6/8
N2 - 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.
AB - 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.
KW - Community Policing
KW - E-Government
KW - Facebook
KW - Law Enforcement Agencies
KW - Police Department
KW - Public Safety
KW - Social Media
UR - http://www.scopus.com/inward/record.url?scp=84978756674&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84978756674&partnerID=8YFLogxK
U2 - 10.1145/2912160.2912189
DO - 10.1145/2912160.2912189
M3 - Conference contribution
AN - SCOPUS:84978756674
T3 - ACM International Conference Proceeding Series
SP - 366
EP - 374
BT - dg.o 2016 - Proceedings of the 17th Annual International Conference on Digital Government Research - Internet Plus Government
A2 - Kim, Yushim
A2 - Liu, Shuhua Monica
PB - Association for Computing Machinery
Y2 - 8 June 2016 through 10 June 2016
ER -