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Privacy is a vital research field for social network sites, such as Facebook, Twitter, and Google+, where both the number of users and the number of social network applications are sharply growing. Recently, there has been an exponential increase in user-generated text content, mainly in the terms of posts, tweets, reviews, and messages on social network. This increase in textual information introduces many problems related to privacy. privacy is susceptible to personal behavior, due to the shared online data structure of social network sites. Therefore, this study will conduct a systematic literature review (SLR) to identify and discuss the main privacy issues associated with social network, existing privacy models and the limitations and gaps in current research into social network privacy.