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Fernández, Miriam; Cano, A. Elizabeth and Alani, Harith
(2014).
Abstract
Social Media is commonly used by policing organisations to spread the word on crime, weather, missing person, etc. In this work we aim to understand what attracts citizens to engage with social media policing content. To study these engagement dynamics we propose a combination of machine learning and semantic analysis techniques. Our initial research, performed over 3,200 posts from @dorsetpolice Twitter account, shows that writing longer posts, with positive sentiment, and sending them out before 4pm, was found to increase the probability of attracting attention. Additionally, posts about weather, roads and infrastructures, mentioning places, are also more likely to
attract attention.
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About
- Item ORO ID
- 41393
- Item Type
- Conference or Workshop Item
- Extra Information
- Held at 6th International Conference on Social Informatics.
- Keywords
- social web; semantic web; engagement; police
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Copyright Holders
- © 2014 The Authors
- Related URLs
- Depositing User
- Miriam Fernandez