Information and friend segregation for online social networks: a user study

被引:0
|
作者
Javed Ahmed
Serena Villata
Guido Governatori
机构
[1] CIRSFID,
[2] University of Bologna,undefined
[3] CSC,undefined
[4] University of Luxembourg,undefined
[5] Sukkur IBA University,undefined
[6] CNRS,undefined
[7] Data61,undefined
[8] CSIRO,undefined
来源
AI & SOCIETY | 2019年 / 34卷
关键词
Online social networks; Privacy; Tie strength; Audience segregation; User interactions;
D O I
暂无
中图分类号
学科分类号
摘要
Online social networks (OSNs) captured the attention of the masses by offering attractive means of sharing personal information and developing social relationships. People expose personal information about their lives on OSNs. This may result in undesirable consequences of users’ personal information leakage to an unwanted audience and raises privacy concerns. The issue of privacy has received a significant attention in both the research literature and the mainstream media. In this paper, we present results of an empirical study that measure users’ attitude towards interpersonal privacy concerns in OSNs. The results demonstrated a serious mismatch between privacy concerns of users and their information sharing behavior. In addition, it indicated that strangers are part of user social circles, this makes privacy protection more complicated, and introduce an insider threat, whereas all existing privacy tools allow users to manage the outsider threat. Information and friend segregation strategies are suggested on the basis of user information disclosure and interaction pattern. We conclude that sensitivity of information and frequency of interaction, both, play a vital role in information and friend segregation.
引用
收藏
页码:753 / 766
页数:13
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