Preventing Automatic User Profiling in Web 2.0 Applications
The rise of the internet and web 2.0 platforms have brought very accessible publishing techniques that have transformed users' role from mere content consumers to fully content consumers-producers. Previous papers have shown that user-generated content can be automatically analyzed to extract useful information for the society. Nevertheless, researchers have also shown that it is possible to build individual user profiles automatically. This situation may provoke concerns to the users worried about their privacy. In this paper, the authors present a new scheme that effectively obfuscates the real user's profile in front of automatic profiling systems, while maintaining their publications intact in order to interfere the least with their readers.