Privacy Behaviour and Profile Configuration in Twitter

Taraneh Khazaei, Lu Xiao, Robert Mercer, Atif Khan

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

7 Scopus citations

Abstract

The dichotomy between users' privacy behaviours and their privacy attitudes is a widely observed phenomenon in online social media. Such a disparity can be mainly attributed to the users' lack of awareness about the default privacy setting in social networking websites, which is often open and permissive. This problem has led to a large number of publicly available accounts that may belong to privacy-concerned users. As an initial step toward addressing this issue, we examined whether profile attributes of Twitter users with varying privacy settings are configured differently. As a result of the analysis, a set of features is identified and used to predict user privacy settings. For our best classifier, we obtained an F-score of 0.71, which outperforms the baselines considerably. Hence, profile attributes proved valuable for our task and suggest the possibility of the automatic detection of public accounts intended to be private based on online social footprints.

Original languageEnglish (US)
Title of host publicationWWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web
PublisherAssociation for Computing Machinery, Inc
Pages575-580
Number of pages6
ISBN (Electronic)9781450341448
DOIs
StatePublished - Apr 11 2016
Externally publishedYes
Event25th International Conference on World Wide Web, WWW 2016 - Montreal, Canada
Duration: May 11 2016May 15 2016

Publication series

NameWWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web

Conference

Conference25th International Conference on World Wide Web, WWW 2016
Country/TerritoryCanada
CityMontreal
Period5/11/165/15/16

Keywords

  • profile attributes
  • social privacy
  • twitter analysis

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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