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Spam and spam accounts in Web 2.0 applications

Web 2.0 applications such as social networks rise and fall with the quality of content of their platform. The main contributor of the content is normally the user. Keeping web portals free of spam is essential for the operator of a web application in order not to lose users and visitors.

To reduce spam in web applications, several approaches are used to keep automated scripts off the website. Spam detection algorithms can be used to identify spam by the content, suspicious links, by typical spam bot behaviour or other features. Also, the user can be asked to respond to a challenge (known as "Completely Automated Public Turing test to tell Computers and Humans Apart" or in short CAPTCHA) such as identifying characters in an image or verify his/her identity via SMS. Especially character identification CAPTCHAs are widely used, but do not provide sufficient security from spammers and inconveniences users. Novel CAPTCHAs have been suggested that may become the successor of traditional character based CAPTCHAs. This paper will discuss existing and novel anti-spam measures in the context of the underground economy and characteristics of the specific web application.

For more information, please read my article .