Towards an Automated Approach to Offender Profiling

Author(s):  
Richard Bache ◽  
Fabio Crestani
Keyword(s):  
2017 ◽  
Vol 19 (3) ◽  
pp. 187-194 ◽  
Author(s):  
Kaeko Yokota ◽  
Hiroki Kuraishi ◽  
Taeko Wachi ◽  
Yusuke Otsuka ◽  
Kazuki Hirama ◽  
...  

The main aim of this study was to determine the current situation of offender profiling in Japan. In addition, the accuracy of crime linkage and inferring offenders’ profiles were examined. To evaluate offender profiling comprehensively, we conducted a national survey of 156 people responsible for offender profiling between 2011 and 2012 to obtain their demographic characteristics and experience related to profiling. Furthermore, we also used a sample of 296 resolved cases to examine the content of profiling and the accuracy of predictions in offender profiling. The results of the statistical analyses revealed that police professionals from various backgrounds were engaged in profiling in Japan; 76% were police investigators, and 19% were professionals at forensic science laboratories engaged in psychological work. Regarding the utilization of profiling results in police investigations, 46% of profiling ‘led to identification of offender’. As for prediction accuracy, the rate of linkage errors (i.e. where profilers could not correctly link incidents even when they knew of the occurrence of these incidents) was 15%. Accurately inferring an offender’s profile was found to be between 72% (means of transportation) and 100% (sex). We also discussed the challenges faced by the police who practise offender profiling in Japan.


Author(s):  
David Wilson

This chapter explores the enduring myths about the phenomenon of serial murder generally and serial killers in particular, in Britain between 1960 to the present. The Chapter argues that many of these myths have been created and continue to be perpetuated by the print and broadcast media. It is suggested that this process was ignited by American popular culture about serial murder, to the extent that many British students engaged on university courses do so because they want to emulate the heroine of the popular novel The Silence of the Lambs and become the fictional character, Clarice Starling. This observation is used to explore other myths about offender profiling, the role of the profiler in police investigations and the idea that this involves entering the mind of the serial killer by the profiler. Based on his own applied work with serial murderers and on police investigations and after their conviction, the chapter reveals the realities of the phenomenon of serial murder, serial killers and the limits of offender profiling. The chapter uses a number of situations encountered during police investigations and with serial killers to illustrate its arguments. It concludes that we need to harness, rather than dismiss, student interests in this territory in more productive ways. It adopts a structural/victim perspective about serial murder, as opposed to a relentless focus on what might motivate the serial killer to kill. The chapter suggests how this might be done both within the academy and, more broadly in public policy.


2020 ◽  
pp. 65-67
Author(s):  
Bryanna Fox ◽  
David P. Farrington ◽  
Andreas Kapardis ◽  
Olivia C. Hambly

2020 ◽  
pp. 19-26
Author(s):  
Bryanna Fox ◽  
David P. Farrington ◽  
Andreas Kapardis ◽  
Olivia C. Hambly

2012 ◽  
Vol 40 (2) ◽  
pp. 214-227 ◽  
Author(s):  
Goro Fujita ◽  
Kazumi Watanabe ◽  
Kaeko Yokota ◽  
Hiroki Kuraishi ◽  
Mamoru Suzuki ◽  
...  

2019 ◽  
pp. 088626051988852
Author(s):  
Louise Almond ◽  
Elias Matin ◽  
Michelle McManus

Offender profiling follows the idea that if offenders’ crime scene actions can be empirically linked to their background characteristics, it will be possible to predict one from the other. There is a lack of research exploring whether homicide offenders’ crime scene actions are predictive of their criminal histories, despite the potential utility of such information. The current study addresses this gap in the literature. A sample of 213 adult male-on-female homicides with sexual or unknown motive was drawn from a U.K.-wide database. Relationships between 13 preconviction variables and 29 crime scene behaviors were explored using a bivariate statistical approach. Subsequently, binary logistic regression models were used to predict the presence, or absence, of specific preconvictions based on a combination of offense behaviors. Analyses highlighted 16 statistically significant associations between key offense behaviors and previous convictions, these associations were often “less likely” to result in previous conviction. The analysis failed to find any association for various other variables, most notably sexual preconvictions. Results indicate offenders’ criminal histories can be predicted from their offense behaviors, though not all preconvictions may be similarly suited. Implications for practice are discussed.


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