With a comment spam-blocking success rate of 99.79% and nearly 10 million spam messages caught, Mollom has made a big impression on the content management community since its introduction in early 2008.
With a comment spam-blocking success rate of 99.79% and nearly 10 million spam messages caught, Mollom has made a big impression on the content management community since its introduction in early 2008.Mollom came out of beta this week and simultaneously launched a commercial version of the product. If you have a site with moderate traffic, don't worry -- there's still a free version that supports up to 100 valid (meaning non-spam) comments a day. Sites with heavier volume will need to upgrade to the paid version, which is currently priced at 30 euros a month (about $45).
For those not familiar with Mollom, it's a plug-in module compatible with various content management systems. Its main purpose it to act as a sort of safety net between a comment being submitted and the comment actually showing up on the user's site. Before actually being posted, the comment is sent to Mollom's servers for evaluation. Mollom's algorithm rates the comment on if it thinks it is valid or spam, and passes it back to the user's server, which can then decide whether or not to post it. In addition, to its comment spam-blocking features, Mollom also boasts a capability to block the creation of bogus user accounts.
Mollom is currently supported by Drupal, WordPress, and Joomla, as well as the recent additions Radiant (a CMS built on the Ruby On Rails framework) and DaliCMS. Support for other systems is forthcoming.
Mollom seems to be getting better and better and it's nice to see it come out of beta. As strong a product as it is, Mollom has quite a few free and commercial competitors, such as Akismet, Defensio, and TypePad AntiSpam, which also are worth checking out.
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Social is a Business ImperativeSocial media is critical in the age of digital business. How can IT help? First, work with the marketing team to set up social networking programs on Facebook, Twitter, and LinkedIn, at minimum. Then work to put social media sentiment analytics in place to measure success.