Open AccessSocial Network Privacy Models
Author(s) -
Abdullah Abdulabbas Nahi Al-Rabeeah,
Mohammad Hashim
Publication year - 2019
Publication title -
cihan university-erbil scientific journal
Language(s) - English
Resource type - Journals
eISSN - 2707-6377
pISSN - 2519-6979
DOI - 10.24086/cuesj.v3n2y2019.pp92-101
Subject(s) - internet privacy , information privacy , computer science , field (mathematics) , social network (sociolinguistics) , privacy by design , privacy software , personally identifiable information , privacy policy , social media , world wide web , data science , computer security , mathematics , pure mathematics
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.