Reddit reports 20% drop in spam exposure via LLMs

Reddit is using Large Language Models (LLMs) to reduce spam across the internet, deploying artificial intelligence to combat automated content. As powerful language models become easily accessible, bad actors are able to distribute spam and bot content more efficiently, presenting a growing challenge for online platforms. In response, Reddit has developed tools utilizing LLMs to cut down on spam, much of which is generated by LLMs in the first place. According to the company, the platform now blocks 23 million spam views per day. Additionally, Reddit reports that it catches about 25,000 new spam posts and comments each day. While social platforms have built automated spam reduction tools for years, Reddit states that these updated systems are catching spam at a higher rate.

The company attributes this increased efficiency to the pattern-recognition capabilities of modern AI models. In a company blog post, Reddit stated, “We leverage LLMs to catch the highly subtle, coordinated patterns of fake behavior and artificial hype that older systems once missed.” By identifying these complex patterns, the platform has succeeded in limiting the reach of automated spam. Specifically, Reddit claims that it reduced user exposure to spam by 20% from January to March compared to the prior three months, demonstrating the immediate impact of integrating LLMs into its moderation stack. This reduction is measured against the prior three months, highlighting a measurable shift in content quality.

This deployment occurs alongside broader industry shifts, as other social platforms establish distinct policies to manage AI-generated content. Platforms like YouTube, Meta, and Instagram currently allow users to post AI-generated content provided they disclose it, while TikTok has introduced features allowing users to toggle the amount of AI-generated content they see. However, as platforms seek to detect AI-generated content faster, experts note that automated tools alone are insufficient. Platform experts emphasize that AI content moderation must be paired with human moderation to achieve the most effective results. This hybrid approach remains critical for accurately identifying and flagging violative content like hate speech, which often requires human context to evaluate.

Why it matters

As the accessibility of Large Language Models makes generating spam across the internet easier, platforms are increasingly forced to adopt AI-driven moderation tools to maintain content quality. However, maintaining platform safety and accurately identifying complex violations will continue to require a balance between automated systems and human oversight.