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Thorn Introduces New Context Labels

In an effort to revolutionize the protection of children online, Thorn, a leading nonprofit organization dedicated to preventing child sexual abuse and exploitation, has unveiled innovative context labels for its platform, Safer by Thorn. This initiative aims to enhance how trust and safety teams prioritize cases involving suspected child sexual abuse material (CSAM).

The Necessity for Contextual Understanding

The rise of digital platforms has unfortunately made them susceptible to misuse, including the proliferation of CSAM. Thorn's new context labels are designed to provide critical insights beyond basic detection methods, thereby allowing moderation teams to assess flagged content with greater precision. With increasing volumes of flagged material, understanding the nuance of each case becomes paramount.

The context labels generated by Thorn's advanced AI and machine learning models add significant depth to the assessment of suspected CSAM by providing predictive signals regarding nudity, apparent maturity levels, and the nature of sexual content. This detailed information empowers safety teams to make more informed decisions amidst overwhelming data.

A Game Changer in Child Safety Technology

In 2025 alone, Safer classified over 3.8 million files as suspected CSAM and recognized nearly 1.5 million known CSAM items through hash matching. With more than 5.3 million cases flagged, Safer has shown to be an indispensable tool in combating online child exploitation. The addition of context labels will further streamline the workflow for teams tasked with reviewing this sensitive material.

Julie Cordua, the CEO of Thorn, emphasized the positive impact of these labels: “Trust and safety teams are doing deeply consequential work under increasingly complex conditions. These new context labels give platforms additional information that can help them make even more informed decisions, support the wellness of people reviewing this material, and strengthen their response to suspected child sexual abuse.” This technology ultimately enhances not only the efficiency of content moderation but also the clarity with which teams operate.

Collaborative Development for Consensus

The context classifiers were developed in collaboration with the INTERPOL DevOps community, ensuring that they follow agreed-upon standards for classification. Each label generated adheres to the Universal Classification Schema V2, which promotes a shared language throughout the child safety ecosystem. This alignment not only facilitates better collaboration but also strengthens the overall effectiveness of moderation efforts across platforms and organizations.

Kalina Zografska, the Head of Technology and Innovation at INHOPE, lauded Thorn's initiative, stating, "We’re encouraged to see Safer by Thorn align context labels with the Universal Classification Schema to support consistent context labeling when reviewing and prioritizing suspected CSAM.”

The Road Ahead

The introduction of context labels is part of Thorn's ongoing commitment to evolve its safety technology for the digital age. As the landscape of online risks continues to expand, Thorn's tools will be essential in adjusting to new trends and challenges in child safety. By utilizing these advanced classifiers, platforms can better identify potential risks and enhance their responses to safeguard children.

To find out more about how Safer by Thorn is working to protect children online and learn about the context labels, visit safer.io.

About Thorn

Thorn is at the forefront of child protection in the digital era, creating innovative tools to combat sexual abuse and exploitation. Through scalable solutions, they assist platforms, investigators, and policymakers in enhancing child safety online. For more information on Thorn’s mission to create a digital safety net for children, check out thorn.org.