Sexual Interests of Child Sexual Exploitation Material (CSEM) Consumers: Four Patterns of Severity Over Time

Online Sexual Offending Against Children: Recidivism Rates and Predictors

Recidivism among individuals who have sexually offended poses a significant public health and safety concern. It is crucial to assess the predictive validity of traditional risk factors in individuals engaged in online child exploitation. This study examines recidivism rates and risk factors among individuals involved in online child sexual exploitation, analyzing data from a sample of 228 adult males who had committed sexual and nonsexual offenses at their index crime. The findings suggest that offense-supportive cognitions (Harrell's C = .73-.75) and emotional congruence with children (Harrell's C = .77) serve as predictors for contact sexual recidivism. Consumption of child sexual exploitation material and bestiality pornography are linked to online sexual recidivism (.69 and .75, respectively) and negatively related to sexual recidivism (.29 and .32, respectively). Overall, this research contributes to a more nuanced understanding of recidivism patterns and risk factors among individuals engaged in online sexual offenses against children, emphasizing the need for tailored intervention strategies in this population.

The effect of therapeutic and deterrent messages on Internet users attempting to access 'barely legal' pornography

Online child sexual abuse material (CSAM) is a growing problem. Prevention charities, such as Stop It Now! UK, use online messaging to dissuade users from viewing CSAM and to encourage them to consider anonymous therapeutic interventions. This experiment used a honeypot website that purported to contain barely legal pornography, which we treated as a proxy for CSAM. We examined whether warnings would dissuade males (18-30 years) from visiting the website. Participants (n = 474) who attempted to access the site were randomly allocated to one of four conditions. The control group went straight to the landing page (control; n = 100). The experimental groups encountered different warning messages: deterrence-themed with an image (D3; n = 117); therapeutic-themed (T1; n = 120); and therapeutic-themed with an image (T3; n = 137). We measured the click through to the site. Three quarters of the control group attempted to enter the pornography site, compared with 35 % to 47 % of the experimental groups. All messages were effective: D3 (odds ratio [OR] = 5.02), T1 (OR = 4.06) and T2 (OR = 3.05). Images did not enhance warning effectiveness. We argue that therapeutic and deterrent warnings are useful for CSAM-prevention.

Accessing child sexual abuse material: Pathways to offending and online behaviour

BACKGROUND

Most research examining the consumption of online child sexual abuse material (CSAM) has focused on offenders' demographic and psychological characteristics. While such research may assist in the development of therapeutic interventions with known offenders, it has little to offer the development of interventions for the vast majority of offenders who are never caught.

OBJECTIVE

To learn more about the offending strategies of CSAM offenders, in order to inform prevention efforts to deter, disrupt, and divert individuals from their pursuit of CSAM.

PARTICIPANTS & SETTING

Seventy-five male CSAM offenders, who were living in the community and were voluntarily participating in a treatment programme.

METHODS

Participants completed a detailed self-report questionnaire focussing on their pathways to offending and their online behaviour.

RESULTS

Most participants reported that they did not initially seek out CSAM but that they first encountered it inadvertently or became curious after viewing legal pornography. Their involvement in CSAM subsequently progressed over time and their offending generally became more serious. The most notable feature of participants' online behaviour was the relative lack of sophisticated technical expertise. Opportunity and other situational factors emerged as mediators of offending frequency. Offending patterns were affected by participants' psychological states (e.g., depression, anger, stress), offline relationships and commitments (e.g., arguments with spouse, loss of job), and online experiences (e.g., blocked sites, viruses, warning messages).

CONCLUSIONS

Findings suggest that many offenders are receptive to change and may be potentially diverted from their offending pathway.

Testing a hybrid risk assessment model: Predicting CSAM offender risk from digital forensic artifacts

BACKGROUND

Recent research argues for a formalized hybrid risk assessment model that combines the current online child sex abuse risk measures with digital forensics artifacts.

OBJECTIVE

We conducted a feasibility study as an initial step toward formalizing the hybrid risk assessment model by identifying high-level digital forensic artifacts that have the potential to be valid and reliable indicators of risk, with a focus on CPORT Items 5, 6, and 7.

DATA

Law enforcement investigators from a High Tech Crime Unit (HTCU) randomly selected seven closed cases; selection criteria included: male offender over 18, mobile device, child sexual abuse material (CSAM) offense, and 2019-2023 index offense. Investigation details related to probable cause, final charges, conviction, and offender risk were not disclosed. Statistical information (f, %) for the following digital forensics artifacts was examined: 1) pornography collection (e.g., % of media, content type, gender ratio) and 2) evidence of networking/grooming and other problematic online activities (e.g., number of native messages vs. application messages; type of installed apps).

METHOD

The analysis predicted whether the offender was a CSAM-only or dual offender and if our findings agreed with the level of risk for reoffending suggested by CPORT Items 5, 6, and 7. Results were shared with the HTCU and scored for accuracy.

RESULTS

The hybrid model was accurate in 6 of 7 cases.

CONCLUSION

We conclude a hybrid model is feasible, and the findings illustrate the importance of analyzing app artifacts for context. Study limitations and future research recommendations are discussed.

Unravelling the dynamics of child sexual exploitation material circulation on the Dark Web

In recent years, there has been a significant increase in the detection of child sexual exploitation material (CSEM), with perpetrators increasingly turning to advanced encryption technologies to conceal their activities. This study delves into data from a Brazilian Federal Police operation on the Tor network, aimed at disrupting these illicit activities. We uncovered patterns indicating strong user preferences for certain content categories, suggesting the existence of distinct groups with shared interests. Additionally, our findings reveal consistent activity patterns among users, including specific 24-hour, 12-hour, and 6-hour consumption cycles. This research offers insights into the online behavior related to CSEM, providing a foundation for further investigation and the development of effective policy measures.

Short text classification approach to identify child sexual exploitation material

Producing or sharing Child Sexual Exploitation Material (CSEM) is a severe crime that Law Enforcement Agencies (LEAs) fight daily. When the LEA seizes a computer from a potential producer or consumer of the CSEM, it analyzes the storage devices of the suspect looking for evidence. Manual inspection of CSEM is time-consuming given the limited time available for Spanish police to use a search warrant. Our approach to speeding up the identification of CSEM-related files is to analyze only the file names and their absolute paths rather than their content. The main challenge lies in handling short and sparse texts that are deliberately distorted by file owners using obfuscated words and user-defined naming patterns. We present two approaches to CSEM identification. The first employs two independent classifiers, one for the file name and the other for the file path, and their outputs are then combined. Conversely, the second approach uses only the file name classifier to iterate over an absolute path. Both operate at the character n-gram level, whereas novel binary and orthographic features are presented to enrich the text representation. We benchmarked six classification models based on machine learning and convolutional neural networks. The proposed classifier has an F1 score of 0.988, which can be a promising tool for LEAs.

Correspondence of Child Age and Gender Distribution in Child Sexual Exploitation Material and Other Child Content With Age and Gender of Child Sexual Assault Victims

Accessing child sexual exploitation material (CSEM; child pornography in legal statutes) can indicate sexual interest in children. It logically follows then that the age and gender of the depicted children may reflect specific interests in those age/gender groups, and if so, may correspond to age and gender of any known contact offending victims. We had data on CSEM characteristics and child victims for 71 men convicted of CSEM offenses who also had contact sexual offenses against children; some had also sexually solicited children online. Sixty-four men had 134 prior or concurrent child victims, and 14 men reoffended directly against 17 children during follow-up. There were significant, positive associations (with moderate to large effect sizes) between age and gender of children depicted in CSEM and age and gender of child contact or solicitation victims. Examining future offending, though with only 14 recidivists, all men who sexually reoffended against a girl had more girl CSEM content, and all men who sexually reoffended against a boy had more boy CSEM content. Our results suggest that CSEM characteristics can reflect child preferences. This information can be relevant in clinical settings, police investigations, and community risk management, though it does not rule out interest in, or offending against, victims of other ages or gender. We discuss these findings in the context of other evidence regarding victim cross-over, and suggest future research.

Technical profiles of child sexual exploitation material offenders

The idiographic technical profiles of child sexual exploitation material (CSEM) offenders provide insight into their behaviours and context for their interactions with technology, but minimal quantitative work has been done to evaluate their sociability, technical ability and technophilia compared to non-offenders. This work used an online survey to compare an offender group consisting of English-speaking adults previously convicted of CSEM offenses (N = 78) with a reference population of non-offenders (N = 254). The survey assessed sociability, technical ability and technophilia through self-rating and information on occupation, level of education and device ownership. The study found that CSEM offenders had slightly lower sociability than non-offenders, though not at a level of clinical interest. Additionally, CSEM offenders had no statistically significant difference in technical ability and lower overall technophilia when compared to non-offenders. This study fails to support popular perceptions of CSEM offenders being technically savvy loners who are early adopters of new technologies.

Konsum von Missbrauchsabbildungen: Prävalenz, Ätiologie, Fallpriorisierung und Prognose

Der Konsum von Missbrauchsabbildungen hat sich im Hellfeld in den letzten Jahren immer wieder verdoppelt. Dieses erhöhte Fallaufkommen stellt Polizei, Bewährungshilfe und forensische Therapeuten vor eine Vielzahl neuer Herausforderungen. In diesem Beitrag sollen daher aktuelle theoretische Modelle und empirische Erkenntnisse dargestellt werden, um Praktiker in ihrer täglichen Arbeit zu unterstützen. Im Einzelnen sollen das Ausmaß der Problematik und ätiologische Erklärungsmodelle dargestellt werden. Darauffolgend werden empirische Erkenntnisse zu Konsumenten von Missbrauchsabbildungen aufgeführt und diese mit Tätern, die zusätzlich auch Hands-On-Delikte begehen, verglichen. Ferner wird die Problematik von „Crossover“-Tätern diskutiert. Abschließend werden Ansätze vorgestellt, um Fälle in der polizeilichen Ermittlungsarbeit zu priorisieren sowie um das Rückfallrisiko von Konsumenten von Missbrauchsabbildungen vorherzusagen.

Effects of Automated Messages on Internet Users Attempting to Access "Barely Legal" Pornography

With the increasing number of individuals accessing online child sexual exploitation material (CSEM), there is an urgent need for primary prevention strategies to supplement the traditional focus on arrest and prosecution. We examined whether online warning messages would dissuade individuals from visiting a honeypot website purporting to contain barely legal pornography. Participants (n = 419) seeking the site were randomly assigned to one of five conditions; they went straight to the landing page (control; n = 100) or encountered a warning message advising of the potential harm to viewers (n = 74), potential harm to victims (n = 65), ability of police to track IP addresses (n = 81), or possible illegality of such pornography (n = 99). We measured the attempted click-through to the site. Attrition rates for the warning message conditions were 38% to 52%, compared with 27% for the control group. The most effective messages were those that warned that IP addresses can be traced (odds ratio [OR] = 2.64) and that the pornography may be illegal (OR = 2.99). We argue that warning messages offer a valuable and cost-effective strategy that can be scaled up to help reduce the accessing of CSEM online.

Problematic Pornography Use: Legal and Health Policy Considerations

Purpose of Review

Reports of sexual violence, especially towards women and children, are rapidly increasing. At the same time, rates of problematic pornography use (PPU) are accelerating across the world too. The purpose of this review is to consider the recent research on PPU and its contribution to sexual violence. The article offers guidance to governments on possible health policy interventions and legal actions to prevent the development of PPU and to reduce the incidence of sexual violence in society.

Recent Findings

Working from the consumer’s point of view, we identify PPU and ask how much pornography is needed to cause PPU. We examine how PPU drives sexual offending in children, adolescents and adults. The impact of PPU on some consumers’ behaviour suggests significant links to domestic violence. Sexual strangulation is highlighted as an example. Artificial intelligence algorithms play a key role in the pornography industry and appear to be driving escalation to more violent material, inducing high levels of sexual dysfunction in consumers and creating appetites for viewing child sexual abuse material (CSAM).

Summary

Easy access to internet pornography has led to an increase in PPU and sexual violence. Diagnoses and treatments for PPU are examined, as are legal transgressions of a civil and criminal nature arising from PPU. Legal remedies and government policy implications are discussed from the point of view of the precautionary principle. Strategies covered include age verification for pornography, public health campaigns and embedded health and legal warnings for users at the start of pornography sessions along with lessons for pupils about pornography’s impact on the brain.

Collecting and viewing behaviors of child sexual exploitation material offenders

BACKGROUND

The collecting behaviors of child sexual exploitation material (CSEM) offenders provide insight into their cognitions and motivations that have clinical applications.

OBJECTIVE

This study analyzed the CSEM collecting and viewing behaviors of previously convicted offenders.

PARTICIPANTS AND SETTINGS

A postal letter soliciting participation in an online survey was sent to adults previously convicted of CSEM offenses in the United States. Comparison information from a non-offending population of adults within the United States (N = 524) was collected and compared to the CSEM respondents (N = 78).

METHOD

A mixed-methods approach was utilized. The CSEM group was compared to a gender-matched sample from the non-offending group for general adult sexual exploitation material (SEM) viewing. Exploratory analyses of CSEM offender behaviors related to collecting, collection diversity, and recidivism were conducted.

RESULTS

The majority (78%) of the offenders did not organize their content and 74% deleted their entire collection on at least one occasion. Offenders viewed more diverse categories of adult SEM than non-offenders, including more bestiality, hentai, teen, and nudist/naturist material. None of the offenders viewed CSEM exclusively, and 74% viewed more adult SEM than CSEM. The age range of CSEM content viewed did not support highly preferential viewing but did support general novelty seeking. The self-reported recidivism rate was 10%, with infrequent post-conviction CSEM activity.

CONCLUSION

Treatment professionals should not assume that pedophilic interests are the sole or even primary motivator for CSEM behavior. Problematic Internet usage, general pornography consumption, coping issues, or novelty seeking may be more appropriate targets for some offenders.