Use of online social network platforms has increased over last decades. There are various activities that users can do on those platforms such as, making friends, enjoying time, making business, and education. Given activities make online social network platforms more attractive and users want to spend more time on those platforms. Although there is a massive increment in their use, they are not secure enough to fully protect their users' data and privacy. Some users are not aware of the security settings (i.e. privacy settings) since most users focus on spending time on those platforms which brings online social networks addiction into the consideration. Addiction is defined with time dependency in most of the literature works, however, calling a person as an addicted person depends on various factors. This work provides three main contributions;
1-) It clarifies the definition of addiction with a quantitative model.
2-) It provides an analysis on online social networks addiction; answers the question "whom could be called as an addicted user to those platforms"
3-)It provides an analysis on users' trusts to online social networks platforms
