Social media algorithms promote teen self-harm

A recent study from Oxford University indicates that approximately 34.5% of teenagers in England encountered self-harm-related content on social media over the past month. Much of this content is often unintentional, appearing through algorithms without prior searching. The most common methods of exposure are passive (unintended content from algorithms) and mixed exposure (including content found through searches or recommended by friends). Exposure to such content is associated with increased levels of anxiety, depression, and loneliness, especially given the diverse nature of the material—including support resources, images, shocking videos, and sometimes content that encourages self-harm. The study emphasizes that algorithms remain weak in accurately classifying harmful content, which exacerbates the psychological risks. This is particularly concerning because teenagers are more vulnerable to influence due to their emotional sensitivity and identity development, highlighting the urgent need to develop strategies to prevent and reduce exposure to dangerous content.

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