Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Microdata Protection through Noise Addition
Inference Control in Statistical Databases, From Theory to Practice
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
Learning non-taxonomic relationships from web documents for domain ontology construction
Data & Knowledge Engineering
NOYB: privacy in online social networks
Proceedings of the first workshop on Online social networks
Resisting structural re-identification in anonymized social networks
Proceedings of the VLDB Endowment
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
FaceCloak: An Architecture for User Privacy on Social Networking Sites
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 03
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
A methodology to learn ontological attributes from the Web
Data & Knowledge Engineering
Privacy and security for online social networks: challenges and opportunities
IEEE Network: The Magazine of Global Internetworking
Eddi: interactive topic-based browsing of social status streams
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Preserving location and absence privacy in geo-social networks
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Discovering users' topics of interest on twitter: a first look
AND '10 Proceedings of the fourth workshop on Analytics for noisy unstructured text data
Ontology-driven web-based semantic similarity
Journal of Intelligent Information Systems
Ontology-based information content computation
Knowledge-Based Systems
Content annotation for the semantic web: an automatic web-based approach
Knowledge and Information Systems
Semantic enrichment of twitter posts for user profile construction on the social web
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
On the declassification of confidential documents
MDAI'11 Proceedings of the 8th international conference on Modeling decisions for artificial intelligence
Interest-based real-time content recommendation in online social communities
Knowledge-Based Systems
Mining the real-time web: A novel approach to product recommendation
Knowledge-Based Systems
Journal of Biomedical Informatics
On-line dynamic adaptation of fuzzy preferences
Information Sciences: an International Journal
A New Model to Compute the Information Content of Concepts from Taxonomic Knowledge
International Journal on Semantic Web & Information Systems
On the protection of social networks user's information
Knowledge-Based Systems
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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 works 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, we present a new scheme that effectively obfuscates the real user's profile in front of automatic profiling systems, while maintaining her publications intact in order to interfere the least with her readers. The proposed system generates and publishes fake messages with terms semantically correlated with user posts to distort and, hence, hide the real profile. Our method has been tested using Twitter, a very well-known Web 2.0 microblogging platform. Evaluation results show that this new scheme effectively distorts user profiles, producing uniform (i.e. balanced) profiles that hardly characterize users and outperforming simpler methods based on random distortions. In addition to that, the presented system is adaptive, capable of profiling and anonymizing users with a quite limited number of publications and it reacts quickly to any variation in their interests.