Trend analysis and recommendation of users' privacy settings on social networking services

Toshikazu Munemasa, Mizuho Iwaihara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Social networking services (SNSs) are regarded as an indispensable social media for finding friends and interacting with them. However, their search capabilities often raise privacy concerns. Usually, an SNS provides privacy settings for each user, so that he/she can specify who can access his/her online contents. But these privacy settings often become either too simplistic or too complicated. To assist SNS users to discover their own appropriate settings, we propose a privacy-setting recommendation system, which utilizes privacy settings on public access, collected from over 66,000 real Facebook users and settings donated by participating users. We show privacy scores of the collected settings according to user categories. Our recommendation system utilizes these analysis results as well as correlations within privacy settings, and visualizes distribution of collected user's settings. Our evaluations on test users show effectiveness of our approach.

Original languageEnglish
Title of host publicationSocial Informatics - Third International Conference, SocInfo 2011, Proceedings
Pages184-197
Number of pages14
DOIs
Publication statusPublished - 2011 Oct 19
Event3rd International Conference on Social Informatics, SocInfo 2011 - Singapore, Singapore
Duration: 2011 Oct 62011 Oct 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6984 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Social Informatics, SocInfo 2011
CountrySingapore
CitySingapore
Period11/10/611/10/8

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Munemasa, T., & Iwaihara, M. (2011). Trend analysis and recommendation of users' privacy settings on social networking services. In Social Informatics - Third International Conference, SocInfo 2011, Proceedings (pp. 184-197). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6984 LNCS). https://doi.org/10.1007/978-3-642-24704-0_23