Online Social Networks and Police in India—Understanding the Perceptions, Behavior, Challenges
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Safety is a concern for most urban communities; police departments bear the majority of responsibility to maintain law and order and prevent crime. Police agencies across the globe are increasingly using Online Social Network (OSN) (such as Facebook and Twitter) to acquire intelligence and connect with citizens. Developing nations like India are however, still exploring OSN for policing. We interviewed 20 IPS officers and 21 citizens to understand perceptions, and explored challenges experienced while using OSN for policing. Interview analysis, highlights how citizens and police think about information shared on OSN, handling offensive comments, and acknowledgment overload, as they pursue social and safety goals. We found that success of OSN for policing demands effective communication between the stakeholders (citizens and police). Our study shows that OSN offers community-policing opportunities, enabling police to identify crime with the help of citizens. It can reduce the communication gap and improve coordination between police and citizens. We also discuss design opportunities for tools to support social interactions between stakeholders.
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Number of citations to item: 4
- Sonal Goel, Niharika Sachdeva, Ponnurangam Kumaraguru, A. V. Subramanyam, Divam Gupta (2016): PicHunt: Social Media Image Retrieval for Improved Law Enforcement, In: Lecture Notes in Computer Science, doi:10.1007/978-3-319-47880-7_13
- Niharika Sachdeva, Ponnurangam Kumaraguru (2016): Social Media - New Face of Collaborative Policing?, In: Lecture Notes in Computer Science, doi:10.1007/978-3-319-39910-2_21
- Aarti Israni, Sheena Erete, Che L. Smith (2017): Snitches, Trolls, and Social Norms, In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, doi:10.1145/2998181.2998238
- Niharika Sachdeva, Ponnurangam Kumaraguru (2017): Call for Service, In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, doi:10.1145/2998181.2998292