One major problem in today’s Online Social Networks is to give users skill to regulate the messages posted on their own personal space to avoid that unauthorized data is displayed. OSNs give small support to these needs. In this paper, i propose a system permit OSN users to have a straight control on the messages posted on their walls. It is achieved through a flexible rule-based system, that permit users to customize the filtering criteria to be put to their walls, and a Machine Learning-based soft classifier automatically labeling messages in endure of content based filtering. first conduct a set of large-scale measurements with a collection of accounts observe the difference among human, bot, and cyborg in terms of tweeting behavior, tweet content, and account properties.
Volume 11 | Issue 2