# Detecting People Interested in Non-Suicidal Self-Injury on Social Media

arXiv: https://arxiv.org/abs/2207.07014 · HTML: https://mlsanity.com/paper/2207.07014/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 11 references that are in the map.
- First posted on arXiv 10 Jul 2022.

## Builds on (most cited first, 1 of 1)

- [Sockpuppet Detection in Wikipedia: A Corpus of Real-World Deceptive Writing for Linking Identities](https://mlsanity.com/paper/1310.6772/) (2013)

## Abstract (arXiv)

We propose a supervised learning approach to detect people interested in Non-Suicidal Self-Injury (NSSI). We treat the task as a binary classification problem, and build classifiers based upon features extracted from people self-declared interests. Experimental evaluation on a real-world dataset, the LiveJournal social blogging networking platform, demonstrates the effectiveness of our proposed model.