The Effect of Privacy Policies on Information Sharing Behavior on Social Networks: A Systematic Literature Review

Abstract

Online social networks (OSN) such as Facebook andInstagram have dramatically changed the way people operate. It however raises specific privacy concerns due to their inherent handling of personal data. The paper highlights the privacy concerns associated with OSN, strategies to protect the users' privacy, and finally the overall effect of privacy policies on information sharing behavior on OSN. In a systematic review, we examined 51 full papers that explore privacy concerns in OSN, strategies to protect users' privacy, and the effects of privacy policies on the users' information sharing behavior. The overall findings disclosed that users are concerned about their identity being stolen, and how third-party applications use their information. However, privacy policies do not have a direct impact on the information sharing behavior of OSN users. The findings help researchers and practitioners better understand the impact of privacy concerns on users' information sharing behavior on OSN.

The Growth of Social Commerce: How It Is Affected by Users’ Privacy Concerns

“…Another privacy-related factor that affects consumers' willingness to engage with SMPs is the extent and depth of their awareness of service providers' privacy policies [30,31].…”

“…While it has been claimed that there is a positive correlation between the knowledge of the policy and willingness to share information, it is also claimed that most users never familiarise themselves with their SMP's terms of service or privacy policies [30][31][32]. This leads to the superficially paradoxical situation whereby many users claiming to be concerned over privacy show little regard for it in practice.…”

Fuzzy TOPSIS-based privacy measurement in multiple online social networks

“…After the classification center is designated, the visibility of any sample is the value represented by the classification center [28]. We also set that the range of visibility value is [1,6]. Finally, the visibility value of each attribute is obtained.…”

“…To prevent privacy disclosure, social platforms implement a series of privacy policies to protect the security of personal data [7], such as restricting access to users' data, designing general-sum stochastic game model and access-control policies [5,6]. However, users' social information is real-time and complex, and the social information between users is relevant.…”

Investigating the Relationships Among LINE Users’ Concerns, Motivations for Information Sharing Intention and Information Sharing Behavior

“…Often they are less aware of the information being disclosed and how it might be utilized by third parties (Acquisti et al, 2015). Without greater awareness and sufficient knowledge of protective measures, one may feel insecure as to whether their personal identity would be revealed or whether their information would be stolen and subsequently used for certain undesirable purposes (Mitchell & El-Gayar, 2020), considering the nature of information sharing that involves voluntary exchanges of several types of information such as responses or suggestions with multiple unknown parties and geographical or pictorial contents with others (Cannon & Perreault, 1999;Dhir et al, 2017;Rafaeli & Raban, 2005;Y. Tang & Hew, 2022).…”