Towards consensus-based group decision making for co-owned data sharing in online social networks

The use of online social networks has become a crucial activity for individuals in recent years. Users have started to share more data in online social networking platforms. The shared content sometimes includes more than one user's information. This type of data sharing has caused privacy issues as users are only informed after the sharing process is completed. Although, many of the current studies have focused on applying group decision making in data sharing processes, this technique remains a challenge. In this study, we provide a framework in which a consensus-based group decision making process is used in order to take the best decision in co-owned data sharing processes in online social networking. We evaluate this framework using a website platform, Trusty, that we developed taking into account the new model proposed. The evaluation showed not only the applicability of the developed framework but also the need for group decision making in co-owned data sharing processes from users' views.