Monitoring crime-related feelings of unsafety with social media data
dc.contributor.author | Bollwerk, M. | |
dc.coverage.spatial | Nederland | |
dc.date.accessioned | 2021-01-22T13:15:39Z | |
dc.date.available | 2021-01-22T13:15:39Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12832/2952 | |
dc.description.abstract | Due to the adverse psychological and social effects of crime-related feelings of unsafety, the Dutch Ministry of Security and Justice (MSJ) researches these feelings with the yearly population-wide survey 'Veiligheidsmonitor' (safety monitor). In this project, we suggest a method to use social media data as an additional real-time information source which represents a new approach in the MSJ By measuring the relative amount of crime-related content over time as a proxy for feelings of unsafety, the results depict a clear increase of that content through recent years together with a strong association with crime-related real-world events. This method is a basis for future research toward real-time safety monitoring instruments. | |
dc.publisher | Utrecht University | |
dc.relation.ispartofseries | WODC Rapport OV 201604 | |
dc.subject | Onderzoeksmethode | |
dc.subject | Angst voor criminaliteit | |
dc.subject | Datamining | |
dc.subject | Sociale media | |
dc.title | Monitoring crime-related feelings of unsafety with social media data | |
dc.type | rapport | |
dc.identifier.project | OV201604 | |
refterms.dateFOA | 2021-01-22T13:15:39Z | |
html.description.abstract | Due to the adverse psychological and social effects of crime-related feelings of unsafety, the Dutch Ministry of Security and Justice (MSJ) researches these feelings with the yearly population-wide survey 'Veiligheidsmonitor' (safety monitor). In this project, we suggest a method to use social media data as an additional real-time information source which represents a new approach in the MSJ By measuring the relative amount of crime-related content over time as a proxy for feelings of unsafety, the results depict a clear increase of that content through recent years together with a strong association with crime-related real-world events. This method is a basis for future research toward real-time safety monitoring instruments. | nl_NL |
dc.identifier.tud | uuid:1e905b2a-ed9d-434e-ad4e-e6cb482a9749 | |
dc.contributor.institution | Utrecht University | |
dc.contributor.institution | WODC | |
dc.source.city | The Hague |