Current versions: Mollom 8.x-1.0, 7.x-2.15, and 6.x-2.14
Mollom evaluates content quality and stops spam on your website by using machine learning techniques, language analysis, and a reputation system. Instead of having to spend your time moderating generated content, you can instead concentrate on building and improving your website.
Mollom employs three specific technologies to detect spam and malicious content:
- Machine learning
Mollom uses sophisticated machine learning techniques to block spam and malicious content automatically, from user registration forms to blog entries.
- Protection against harmful content
Using text analytics, Mollom is able to detect and stop inappropriate content (such as profanity and other spam-related content) in 75 languages.
- Centralized CAPTCHA service
Mollom provides a centralized CAPTCHA service that stop known spammers. Approved users are not required to solve a CAPTCHA.
Mollom audits the content quality by defining it across three dimensions: Ham, Spam, and Unsure.
- Ham is considered positive content and automatically published.
- Spam is negative content and automatically blocked.
- Unsure is anything in between. If Mollom does not recognize the user, the customer can decide the action to take place.
Signing in to your Mollom account
To create a Mollom account or to sign in to your existing Mollom account, simply go to https://mollom.com.
