Detection and Resolution of Conflict in Multi-Party Privacy Management for Social Media

Billions of items loaded on social media are basically owned by multiple users [1]. However only the user who uploads the item has the authority to adjust its privacy settings i.e. accessibility to the items [1]. Adjusting one's privacy is a serious issue which is to be dealt efficiently, as user's privacy preferences may collide. This might result into serious consequences e.g. losing jobs, cyber stalking. Items contain images that involve many people, comments which include various people etc. Multi-party privacy management is of great importance for users to properly preserve their privacy on social media. The proposed system includes first computational mechanism to resolve conflicts for multi-party management which is capable of operating in different situations by modelling the concessions made by user to reach a solution to the conflict [1]. In the proposed system the mediator uses various concession rules to resolve conflicts for multi-party privacy management. A tag line is given to the original sender to overcome the no concession rule. In this system friends are recommended on the basis of current user's interest.