News media organizations generate massive amounts of articles online. This offers new possibilities for researchers to collect and research these large amounts of text. One of these advantages is that we can detect patterns, such as crime waves, in text corpora. In this paper we illustrate how our framework can collect news articles, organise these according to the main topics covered, and how we can use visualization techniques to detect three types of crime waves: the ‘one time attention grabbers’, the ‘limited range hypes’ and the ‘persistent effect hypes’. The framework was tested on the crime related news of TheGuardian.co.uk. We were able to detect all three types of crime waves through this method.
Original languageEnglish
Title of host publicationProceedings Eurocrim 2018
PublisherESC
Pages110-110
Number of pages1
Publication statusPublished - 31 Aug 2018
Event18th Annual conference of the European Society of ciminology, Eurocrim2018: Crimes Against Humans and Crimes Against Humanity - Sarajevo, Bosnia and Herzegovina
Duration: 29 Aug 201831 Aug 2018

Conference

Conference18th Annual conference of the European Society of ciminology, Eurocrim2018: Crimes Against Humans and Crimes Against Humanity
CountryBosnia and Herzegovina
CitySarajevo
Period29/08/1831/08/18

ID: 39104200