Netherlands Institute for the Study of Crime and Law Enforcement (NSCR), and Leiden Law School, Institute of Criminal Law and Criminology, Leiden University, Leiden, the Netherlands.
Institute of Psychology, Social & Legal Psychology, Johannes Gutenberg University Mainz, Mainz, Germany.
Child Abuse Negl. 2024 Jul;153:106815. doi: 10.1016/j.chiabu.2024.106815. Epub 2024 May 11.
The darknet hosts an increasing number of hidden services dedicated to the distribution of child sexual abuse material (CSAM). Given that by contributing CSAM to the forum members subject themselves to criminal prosecution, questions regarding the motivation for members contributing to darknet CSAM forums arise.
Building on insights gained from research into clearnet communities, here we examine the extent to which social incentives generated by the online CSAM community may explain members' posting behavior on darknet CSAM forums.
We analyze digital forensic artifacts on the online behavior of members of a darknet CSAM forum that was shut down by law enforcement agencies in July 2015.
We apply group-based trajectory modelling (GBTM), social network analysis, and mixed-effect survival models.
Applying GBTM three posting trajectories can be distinguished. Social network analyses finds the reply network to be more centralized than predicted by chance. Mixed-effect survival models show positive associations between the length of members' first post and the time since members' first registration on the forum and subsequent posting. Contrarily, the number of replies received appears to mitigate subsequent posting.
Findings show posting activity on the forum to be concentrated in a minority of forum members who show posting trajectories that are both frequent and persistent. Results further suggest persistence in posting is motivated by social identity and, to a lesser extent, differential association processes.
暗网中越来越多的隐藏服务专门用于传播儿童性虐待材料(CSAM)。由于向论坛成员提供 CSAM 会使他们面临刑事起诉,因此出现了有关成员为何向暗网 CSAM 论坛提供内容的问题。
基于对明网社区研究中获得的见解,本研究旨在探讨在线 CSAM 社区产生的社会激励因素在多大程度上可以解释成员在暗网 CSAM 论坛上的发布行为。
我们分析了 2015 年 7 月执法机构关闭的暗网 CSAM 论坛成员在线行为的数字取证证据。
我们应用基于群组的轨迹建模(GBTM)、社会网络分析和混合效应生存模型。
应用 GBTM 可以区分出三种发布轨迹。社会网络分析发现,回复网络比预期更加集中。混合效应生存模型表明,成员首次发布的长度与成员首次注册论坛和后续发布之间的时间之间存在正相关关系。相反,收到的回复数量似乎会减轻后续的发布。
研究结果表明,论坛上的发布活动集中在少数发布频率高且持续的论坛成员中。结果进一步表明,发布的持久性是由社会认同驱动的,在较小程度上也受到差异关联过程的驱动。