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Graphical User Interfaces for Privacy Settings

  • Reference work entry
  • First Online:
Encyclopedia of Social Network Analysis and Mining

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Synonyms

Evolution of privacy settings; User interfaces for data disclosure

Glossary

CD:

Community detection

CHI:

Computer human interaction

ML:

Machine learning

Definition

Continuing research in privacy on social networks has resulted in well-defined concepts and applications, but improvements in personal data privacy are still limited by how graphical user interfaces are used. In this work, we will outline the evolution of privacy research on graphical user interfaces. Starting with visual aspects, we will point out the contributions from machine learning and community detection communities and show how their impact has changed graphical user interfaces. Through a survey conducted on 127 real-life social networks, we will also present the state of art in privacy interfaces and show the adoption rate of different concepts from privacy research.

Introduction

With the increasing popularity of social networks during the last decade, protection of personal information have gained...

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Author information

Authors and Affiliations

  1. DISTA, Università degli Studi dell’Insubria, Via Mazzini, 5, 21100, Varese, Lombardia, Italy

    Cuneyt Gurcan Akcora & Elena Ferrari

Authors
  1. Cuneyt Gurcan Akcora
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  2. Elena Ferrari
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Corresponding author

Correspondence to Cuneyt Gurcan Akcora .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Reda Alhajj

  2. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Jon Rokne

Section Editor information

  1. UC-Davis, Davis, CA, USA

    Felix Wu

  2. Blekinge Institute of Technology, Karlskrona, Sweden

    Henric Johnson

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Akcora, C.G., Ferrari, E. (2018). Graphical User Interfaces for Privacy Settings. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_360

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