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
  • [21] 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
  • [22] Your Privacy Is Your Friend's Privacy: Examining Interdependent Information Disclosure on Online Social Networks
    Alsarkal, Yaqoub
    Zhang, Nan
    Xu, Heng
    PROCEEDINGS OF THE 51ST ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS), 2018, : 892 - 901
  • [23] Information Attacks on Online Social Networks
    Franchi, Enrico
    Poggi, Agostino
    Tomaiuolo, Michele
    JOURNAL OF INFORMATION TECHNOLOGY RESEARCH, 2014, 7 (03) : 54 - 71
  • [24] Evaluation of the Likelihood of Friend Request Acceptance in Online Social Networks
    Mezhuyev, Vitaliy
    Sadat, S. M. Nazmus
    Rahman, Md Arafatur
    Refat, Nadia
    Asyhari, A. Taufiq
    IEEE ACCESS, 2019, 7 : 75318 - 75329
  • [25] Friend or foe? Fake profile identification in online social networks
    Fire, Michael
    Kagan, Dima
    Elyashar, Aviad
    Elovici, Yuval
    SOCIAL NETWORK ANALYSIS AND MINING, 2014, 4 (01) : 1 - 23
  • [26] The Effects of Social Influence on User Acceptance of Online Social Networks
    Qin, Li
    Kim, Yongbeom
    Hsu, Jeffrey
    Tan, Xin
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2011, 27 (09) : 885 - 899
  • [27] Friend Recommendation in Online Social Networks Combining Interest Similarity and Social Interaction
    Huang, Mingqing
    Zhang, Bofeng
    Zou, Guobing
    Cheng, Shulin
    Zhou, Zhuocheng
    Chang, Furong
    2018 INTERNATIONAL CONFERENCE ON AUDIO, LANGUAGE AND IMAGE PROCESSING (ICALIP), 2018, : 303 - 309
  • [28] Beyond User-to-User Access Control for Online Social Networks
    Shehab, Mohamed
    Squicciarini, Anna Cinzia
    Ahn, Gail-Joon
    INFORMATION AND COMMUNICATIONS SECURITY, PROCEEDINGS, 2008, 5308 : 174 - +
  • [29] Abnormal user identification in online social networks based on user behavior
    Wang, Nan
    Sun, Qingyu
    Jiao, Qingju
    PROCEEDINGS OF 2021 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INFORMATION SYSTEMS (ICAIIS '21), 2021,
  • [30] On the protection of social networks user's information
    Mares, Jordi
    Torra, Vicenc
    KNOWLEDGE-BASED SYSTEMS, 2013, 49 : 134 - 144