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
相关论文
共 50 条
  • [1] Information and friend segregation for online social networks: a user study
    Ahmed, Javed
    Villata, Serena
    Governatori, Guido
    AI & SOCIETY, 2019, 34 (04) : 753 - 766
  • [2] A Semantic Model for Friend Segregation in Online Social Networks
    Ahmed, Javed
    WEB ENGINEERING (ICWE 2016), 2016, 9671 : 495 - 500
  • [3] A Study on Influential User Identification in Online Social Networks
    Wang Nan
    Sun Qindong
    Zhou Yadong
    Shen Si
    CHINESE JOURNAL OF ELECTRONICS, 2016, 25 (03) : 467 - 473
  • [4] A Study on Influential User Identification in Online Social Networks
    WANG Nan
    SUN Qindong
    ZHOU Yadong
    SHEN Si
    ChineseJournalofElectronics, 2016, 25 (03) : 467 - 473
  • [5] ESTIMATING USER INFLUENCE IN ONLINE SOCIAL NETWORKS SUBJECT TO INFORMATION OVERLOAD
    Li, Pei
    Sun, Yunchuan
    Chen, Yingwen
    Tian, Zhi
    INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2014, 28 (03):
  • [6] A privacy-preserving friend recommendation scheme in online social networks
    Zhang, Shiwen
    Li, Xiong
    Liu, Haowen
    Lin, Yaping
    Sangaiah, Arun Kumar
    SUSTAINABLE CITIES AND SOCIETY, 2018, 38 : 275 - 285
  • [7] Characterizing User Behavior in Online Social Networks
    Benevenuto, Fabricio
    Rodrigues, Tiago
    Cha, Meeyoung
    Almeida, Virgilio
    IMC'09: PROCEEDINGS OF THE 2009 ACM SIGCOMM INTERNET MEASUREMENT CONFERENCE, 2009, : 49 - 62
  • [8] On user perception of safety in online social networks
    Lorentzen, Charlott
    Fiedler, Markus
    Johnson, Henric
    INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND DISTRIBUTED SYSTEMS, 2013, 11 (01) : 77 - 91
  • [9] Adaptive Diffusion of Sensitive Information in Online Social Networks
    Wu, Xudong
    Fu, Luoyi
    Long, Huan
    Yang, Dali
    Lu, Yucheng
    Wang, Xinbing
    Chen, Guihai
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 33 (08) : 3020 - 3034
  • [10] The Propagation of Counteracting Information in Online Social Networks: A Case Study
    Rohde, Logan
    Mohanty, Somya
    Deng, Jing
    Sadri, Fereidoon
    2018 18TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW), 2018, : 1173 - 1177