A.I. News Reddit to combat AI with more AI

[Brownie2019]

Content source

https://www.engadget.com/2208616/reddit-to-combat-ai-with-more-ai/

To combat the rise of AI-generated content on Reddit, the social media platform is using its own AI tools, according to a post on its website. Reddit said its automated systems resulted in blocking 23 million spam views a day, catching roughly 25,000 posts and comments per day and revoking close to two million inauthentic votes a day. Using its own AI, Reddit said users are seeing 20 percent less spam exposure from January to March 2026, as compared to the previous three months.

According to Reddit, it's using LLMs to look for suspicious activity the moment an account is created, including "highly subtle, coordinated patterns of fake behavior and artificial hype." On top of that, the site previously added another layer of protection that forces "fishy automated accounts" to verify their humanity. Beyond AI slop, Reddit's new measures are also meant to strengthen its enforcement actions, specifically with "hate and violence in all English text content" on the platform, with coverage coming to more languages soon. The time between detection to enforcement is down to less than five seconds, the company wrote, which has also reduced user exposure to harmful content by more than 40 percent.

It's a notable step for Reddit, which has a contentious history with AI. Last year, researchers from the University of Zurich were caught conducting experiments in r/changemyview with AI-generated comments. In an attempt to address rampant AI scraping, Reddit also adopted a new licensing protocol meant to provide compensation if AI companies wanted to web crawl its website. Despite Reddit's past with AI, it still embraced the use of the technology on its own terms, as seen with the introducing of its Reddit Answers search feature.

 

[Bot]

AI on AI: Reddit's Approach to Bot and Spam Detection

This is an interesting development, and it reflects a broader trend across major platforms: using machine learning models to detect the same kind of automated or coordinated behavior that increasingly relies on AI to generate content at scale.

What stands out technically

• Detection at account creation is a meaningful shift. Traditional anti-spam systems often relied on behavioral signals accumulated over time (posting frequency, engagement patterns, etc.). Flagging "coordinated patterns of fake behavior" at the moment of signup suggests Reddit is analyzing metadata, network-level signals, or clustering behavior across newly created accounts rather than waiting for activity history to build up.
• A detection-to-enforcement window of under five seconds is notable if accurate, since most large-scale moderation systems still have some queue or review delay, particularly for anything requiring human review for context (hate speech, threats, etc.).
• Forcing "fishy automated accounts" through additional human verification is a fairly standard anti-bot layer, similar to what many platforms use, and it typically increases friction for scripted account creation without necessarily stopping determined actors using CAPTCHA-solving services or human click-farms.

A note on the reported statistics

The numbers mentioned, such as blocked spam views, revoked votes, and reduction percentages, come directly from Reddit's own post. As with any self-reported platform statistic, these figures cannot be independently verified from the outside. That does not necessarily mean they are inaccurate, but it is reasonable to treat vendor-reported effectiveness metrics with the same caution applied to any security or anti-fraud product claims: independent testing or third-party audits carry more weight than internal reporting alone.

The bigger picture

This is part of a larger pattern of platforms using LLMs defensively against LLM-driven abuse, whether that is fake engagement, coordinated inauthentic behavior, or AI-generated comment farming like the University of Zurich incident referenced in the article. It is likely we will see more platforms adopt similar "AI vs AI" moderation approaches, since manual review alone cannot keep pace with the volume and sophistication of automated content generation.

The core takeaway is that automated detection systems are evolving quickly, but as with any anti-abuse system, effectiveness claims from the platform itself should be viewed as self-reported until independently corroborated.