Decision Making in Child Sexual Abuse

2019 ◽  
Vol 35 (4) ◽  
pp. 414-421 ◽  
Author(s):  
Alessandro Tadei ◽  
Pekka Santtila ◽  
Jan Antfolk

Abstract When statistically related to child sexual abuse (CSA), background information can assist decision-making in investigations of CSA allegations. Here, we studied the use of such background information among Finnish police officers. We analyzed their ability to identify and interpret CSA-related and CSA-unrelated background information both when placed in mock scenarios and when presented as separate, individual variables. We also measured the ability to correctly estimate the probability of CSA based on such background information. In the context of mock scenarios, officers were better in discarding CSA-unrelated variables than in identifying CSA-related ones. Within-subject performance across different scenarios was, however, not consistent. When information was presented as separate variables, officers tended to incorrectly consider many CSA-unrelated variables as CSA-related. Officers performed better in recognizing whether actual CSA-related variables increase or decrease the probability of CSA. Finally, officers were inaccurate in identifying variables that are CSA-related only for boys or only for girls. When asked to estimate the CSA probability of mock scenarios, participants were accurate only in assessing low-probability cases, and this was not associated with the ability to identify CSA-related and CSA-unrelated variables. We conclude that police officers would benefit from more training in using background information and from using available decision-making support tools in the context of investigating CSA allegations.


2019 ◽  
Author(s):  
Alessandro Tadei ◽  
Pekka Santtila ◽  
Jan Antfolk

When statistically related to child sexual abuse (CSA), background information can assist decision-making in investigations of CSA allegations. Here, we studied the use of such background information among Finnish police officers. We analyzed their ability to identify and interpret CSA-related and -unrelated background information both when placed in mock scenarios and when presented as separate variables. We also measured the ability to correctly estimate the base-rate of CSA allegations being true based on such background information. In the context of mock scenarios, officers were better in discarding CSA-unrelated variables than in identifying CSA-related ones. Within-subject performance across different scenarios was, however, not consistent. When information was presented as separate variables, officers tended to incorrectly consider many CSA-unrelated variables as CSA-related. Officers performed well in recognizing whether CSA-related variables increase or decrease CSA risk. Finally, officers were inaccurate in identifying variables that are CSA-related only for boys or only for girls. When asked to estimate the CSA probability of mock scenarios, participants were accurate only in assessing low-probability cases, and this was not associated with the ability to identify CSA-related and -unrelated variables. We conclude that police officers would benefit from more training in using background information and from using available decision-making support tools in the context of investigating CSA allegations.


Author(s):  
Giorgia Macilotti

This chapter presents some challenges faced by the police in identifying child pornography images. In particular, three main problems will be discussed throughout this chapter. The first lies in deciding whether an image is explicit enough to be considered pornographic. The second issue lies in determining whether the victim is a child or someone who appears to be a child. A final challenge concerns how to deal with sexually explicit images produced by someone who is a child themselves. It will be argued that despite emerging investigative and forensic methods, the decision-making process engaged in by police officers still presents some specific challenges. These aspects will be discussed through an analysis of semi-structured interviews with 23 French police officers and forensic analysts working in departments specialising in policing cybercrime and online child sexual abuse.


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