TY - JOUR AU - Abdullah Al-Rabeeah AU - Mohammed Hashim PY - 2019/08/20 Y2 - 2024/03/29 TI - Social Network Privacy Models JF - Cihan University-Erbil Scientific Journal JA - cuesj VL - 3 IS - 2 SE - Review Article DO - 10.24086/cuesj.v3n2y2019.pp92-101 UR - https://journals.cihanuniversity.edu.iq/index.php/cuesj/article/view/120 AB - Privacy is a vital research field for social network (SN) sites (SNS), such as Facebook, Twitter, and Google+, where both the number of users and the number of SN applications are sharply growing. Recently, there has been an exponential increase in user-generated text content, mainly in terms of posts, tweets, reviews, and messages on SN. 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 SNS. Therefore, this study will conduct a systematic literature review to identify and discuss the main privacy issues associated with SN, existing privacy models and the limitations and gaps in current research into SN privacy. ER -