{"title":"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","authors":"Yun Huang, Qunfang Wu, Youyang Hou","doi":"10.1145/3085228.3085316","DOIUrl":null,"url":null,"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 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.","PeriodicalId":416111,"journal":{"name":"Proceedings of the 18th Annual International Conference on Digital Government Research","volume":"138 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Examining Twitter Mentions Between Police Agencies and Public Users through the Lens of Stakeholder Theory\",\"authors\":\"Yun Huang, Qunfang Wu, Youyang Hou\",\"doi\":\"10.1145/3085228.3085316\",\"DOIUrl\":null,\"url\":null,\"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 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.\",\"PeriodicalId\":416111,\"journal\":{\"name\":\"Proceedings of the 18th Annual International Conference on Digital Government Research\",\"volume\":\"138 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 18th Annual International Conference on Digital Government Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3085228.3085316\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 18th Annual International Conference on Digital Government Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3085228.3085316","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.