David Finkelhor

Public and police concern about internet crimes against children has been primarily typified as a stranger danger problem. However, existing research suggests a variety of perpetrator ages and relationships to the victim. A more accurate estimate will help inform prevention efforts. This study provides a meta-analysis examining the identity of perpetrators in internet crimes against children. Databases were searched for published and unpublished studies using a detailed search strategy. In total, 32 studies met full inclusion criteria. Inclusion criteria was the following: (1) the victim sample consisted of children under the age of 18 years or young adults (18–25) asked to respond retrospectively; (2) the study victims experienced abuse through the use of technology; (3) the study reported the identity of the perpetrator, either the relationship to the victim or the age of the perpetrator; (4) the study was available in English. The overall proportion of offenders under the age of 18 as a proportion of all identified offenders was 44% (95% CI: 0.28–0.60). The overall proportion of acquaintance and family offenders as a proportion of all identified offenders was 68% (95% CI: 0.62–0.75). Between study variability was explained by data source, with higher proportion of juvenile offenders in studies using survey data. This meta-analysis confirms that most perpetrators of online crimes against children are not strangers to their victims and a large portion of perpetrators are juveniles. Prevention education needs to focus more on inappropriate behavior from anyone in addition to the dangers about communicating with strangers.

This study looked at experiences of help-seeking from websites and police following an episode of technology-facilitated abuse. It used data from a nationally representative online panel of adults aged 18 to 28, sampled from Ipsos Knowledge Panel. A total of 1,952 unique victimization episodes from childhood and adulthood were identified and used in analyses. Participants were asked about whether they experienced 11 different types of technology-facilitated abuse (TFA), whether the incident was reported to the website or police, barriers to reporting, and features of the website’s or law enforcement’s response. Other follow-up information included victim gender, age, relationship to the perpetrator, and negative emotional impact (NEI) associated with the incident. Results found very low rates of reporting to both websites (7.3%) and law enforcement (4.8%). Image-based offenses had higher rates of reporting. A greater NEI significantly increased the odds of reporting to each source. Participants were largely unsatisfied with response from websites and police. Only 42.2% said the website did something helpful and only 29.8% found police helpful. Our findings suggest a need for major improvements in how websites and law enforcement respond to victims of technology-facilitated offenses. They need to have more helpful information and more ways of offering support. Websites need more specifics about the types of violations that warrant reporting, clearer signposts, and encouragement about how to get help and a better publicized commitment to a rapid and serious review. Law enforcement needs more education and training to avoid dismissive and judgmental reactions and to ensure sympathetic and respectful responses.