Overview: content moderation tech

Moderating online content requires sound judgment. However, it’s impossible for humans to screen each and every post left on any given platform due to the sheer amount of content posted online on a daily basis.

With an estimated 2.5 quintillion bytes of data created on a daily basis, it doesn’t seem too likely that the pace of digital communication will slow down anytime soon. 

Content moderation technology helps fill gaps in online communities by automatically flagging or filtering malicious content. Aided by artificial intelligence, it is capable of handling much of the heavy lifting for moderator teams across the web. Some examples include but are not limited to:

  • Context Parsing: Assessing content through different nuanced lenses including format and intent. This is an improvement over earlier generations of content moderation technology that often acted as a harsh filter built to follow strict rules, (e.g. Keyword detection.) which required more human oversight.

  • Bot Detection: Flagging and tracking suspected automated accounts across multiple entry points.

  • Language Integration: Automating moderation across a wide range of languages, enabling faster and easier global expansion.

  • Loophole Recognition: Detecting creative language manipulations written using special characters intended to evade filtration systems.


Since all online communities are unique, a wide range of different AI training models make it possible to automatically screen for content that violates community standards. These definitions can be as broad or as narrow as necessary – tackling general issues like profanity or highly-specific issues like bullying or grooming.

Content moderation technology also can identify spam, phishing, or other attempts at nefarious online behavior. The result is a platform that protects its users from harmful attacks and obnoxious personalities while still preserving an active and enjoyable community. 

Humans, of course, still play an important role in content moderation. But AI’s constantly improving ability to understand context and nuance makes it possible for technology to handle content-related issues that once required perpetual human intervention.

Organizations looking for content moderation should consider a blended path forward: Relying on AI-enhanced content moderation technology to handle the bulk of moderation issues while deferring to human curators for highly-specific matters whenever necessary.