BDSM Safety in Pornography: Its Perceived Accuracy and Impact on Practitioners' Safe Word Practices.

As some BDSM activities can carry risk of temporary or permanent marks/injury, and even death, safety is a foundational principle to BDSM participation. Given the connection between BDSM and sex for some practitioners, pornography is a likely domain for learning about BDSM safety, given its easy accessibility online. However, it is unclear whether practitioners view BDSM safety depicted in pornography as accurate and whether it influences their own practices. Therefore, the current study surveyed self-identified BDSM practitioners' perceptions of pornography's accurate representation of communication, consent, safe words, negotiation, general safety, and how these perceptions relate to their use of safe words and safety training in their own activities. Results showed that (1) demographics nor BDSM-related attributes predicted perceived accuracy of BDSM safety depictions in pornography; (2) perceived accuracy of pornography's depiction of BDSM general safety and safe words did not predict practitioners' negotiation or use of safe words; however, years of BDSM experience did predict safe word usage; (3) submissive-related BDSM roles were more likely to use safe words than dominant-related BDSM roles; (4) those who participated in BDSM only in private were less likely to have CPR and/or first-aid training and more likely to have no other safety training; (5) those who believed pornography depicted BDSM safety mostly/very accurately were more likely to have no safety training; and (6) years of BDSM experience did not predict safety training. The impact of these findings on how we understand the influence of pornography on real-world BDSM practices are discussed.

Liking and hyperlinking: Community detection in online child sexual exploitation networks.

The online sexual exploitation of children is facilitated by websites that form virtual communities, via hyperlinks, to distribute images, videos, and other material. However, how these communities form, are structured, and evolve over time is unknown. Collected using a custom-designed webcrawler, we begin from known child sexual exploitation (CE) seed websites and follow hyperlinks to connected, related, websites. Using a repeated measure design we analyze 10 networks of 300 + websites each - over 4.8 million unique webpages in total, over a period of 60 weeks. Community detection techniques reveal that CE-related networks were dominated by two large communities hosting varied material -not necessarily matching the seed website. Community stability, over 60 weeks, varied across networks. Reciprocity in hyperlinking between community members was substantially higher than within the full network, however, websites were not more likely to connect to homogeneous-content websites.

Detecting child sexual abuse images: Traits of child sexual exploitation hosting and displaying websites.

BACKGROUND: Automated detection of child sexual abuse images (CSAI) often relies on image attributes, such as hash values. However, electronic service providers and others without access to hash value databases are limited in their ability to detect CSAI. Additionally, the increasing amount of CSA content being distributed means that a large percentage of images are not yet cataloged in hash value databases. Therefore, additional detection criteria need to be determined to improve identification of non-hashed CSAI. OBJECTIVE: We aim to identify patterns in the locations and folder/file naming practices of websites hosting and displaying CSAI, to use as additional detection criteria for non-hashed CSAI. METHODS: Using a custom-designed web crawler and snowball sampling, we analyzed the locations and naming practices of 103 Surface Web websites hosting and/or displaying 8108 known CSAI hash values. RESULTS: Websites specialize in either hosting or displaying CSAI with only 20% doing both. Neither hosting nor displaying websites fear repercussions. Over 27% of CSAI were displayed in the home directory (i.e., main page) with only 6% located in at least 4th-level sub-folder. Websites focused more on organizing images than hiding them with 68% of hosted and 54% of displayed CSAI being found in folders formatted year/month. Qualitatively, hosting websites were likely to use alphanumeric or disguised folder and file names to conceal images, while displaying websites were more explicit. CONCLUSION: File and folder naming patterns can be combined with existing criteria to improve automated detection of websites and website locations likely hosting and/or displaying CSAI.