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Crime Sensing with Big Data: The Affordances and Limitations of using Open Source Communications to Estimate Crime Patterns
2016
British Journal of Criminology
This paper critically examines the affordances and limitations of big data for the study of crime and disorder. We hypothesize that disorder-related posts on Twitter are associated with actual police crime rates. Our results provide evidence that naturally occurring social media data may provide an alternative information source on the crime problem. This paper adds to the emerging field of computational criminology and big data in four ways: (1) it estimates the utility of social media data to
doi:10.1093/bjc/azw031
fatcat:yeae6wosjnay5jr5ynse6yj2me