Analysis of Counseling Contents for Sexual Offenses against Children and Youth : Focused on Digital Sexual Offenses

This study utilized large counseling contents involving victimization of sexual offenses against children and youth, collected over past five years at the sexual violence counseling center. We applied a text mining method to preprocess and analysis the content data, then tried to identify the characteristics of the counseling. Also, we analyzed the counselings by dividing them into digital sex crimes, and the meaning and context of the derived keywords were examined. First, the result of word-cloud for all the counseling contents was presented to examine the specific meaning and context of keywords. Next, a heat map as visualization was applied by assigning relative values to the keywords derived by dividing the contents of counseling for whether they were digital sexual offenses. According to the frequency analysis of counseling contents by year, it was found that over the past five years, the number of traditional offline sex crime victimization reports has decreased, while the number of digital sex crimes has increased. In addition, it was found that keywords were classified if they were divided as digital sex crimes. A network analysis for CONCOR(convergence of iterated correlations) procedure was conducted to examine the relationship between the keywords derived from the content analysis. As a result, groups were divided into two groups according to whether they were digital sex crimes and each group had two sub-groups in context. Based on the keywords included in the group, the contextual meaning was inferred, and we discussed issues that occur in the field when sexual offences against children and youth happen.