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Analyzing the application of the privacy design model in WhatsApp: a case study

Published: 23 December 2020 Publication History

Abstract

The increasing number of online social networks (OSN) and information disclosure have increased privacy concerns. Thus, considering privacy in design time might be a good way to address these concerns. In this context, the Privacy Design Model (PDM) aims to support OSN designers to reflect about privacy de-sign aspects. In this study, PDM is applied to analyze the privacy in WhatsApp. Our results points to relevant aspects regarding privacy in instant messages OSNs, but wich are not (well) covered in PDM dimensions. Thus, we identified the need to a further investigation about PDM expressiveness and a possible model review.

References

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A. Cavoukian, Information, and Privacy Commissioner/Ontario. 2009. Privacy by Design, Take the Challenge. Information and Privacy Commissioner of Ontario. https://books.google.com.br/books?id=DeqhnQEACAAJ
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Yabing Liu, Krishna P. Gummadi, Balachander Krishnamurthy, and Alan Mislove. 2011. Analyzing Facebook Privacy Settings: User Expectations vs. Reality. In Proceedings of the 2011 ACM SIGCOMM Conference on Internet Measurement Conference (Berlin, Germany) (IMC '11). Association for Computing Machinery, New York, NY, USA, 61--70.
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Bárbara Gabrielle C. O. Lopes, Geanderson E. dos Santos, Maria Lúcia Villela, and Raquel O. Prates. 2016. Privacy Design Model Application on Sharing Pictures Apps. In Proceedings of the 15th Brazilian Symposium on Human Factors in Computing Systems (São Paulo, Brazil) (IHC '16). Association for Computing Machinery, New York, NY, USA, Article 46, 4 pages.
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Andrey Antonio Rodrigues, Natasha M. Costa Valentim, and Tayana Conte. 2017. Privacy Evaluation of Online Social Network Stories Feature: An Empirical Study with PDM. In Proceedings of the XVI Brazilian Symposium on Human Factors in Computing Systems (Joinville, Brazil) (IHC 2017). Association for Computing Machinery, New York, NY, USA, Article 43, 10 pages.
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Maria Lúcia Bento Villela. 2016. Um modelo de design de privacidade para o compartilhamento de informações pessoais em redes sociais online. Ph.D. Dissertation. Universidade Federal de Minas Gerais. http://hdl.handle.net/1843/ESBF-A9EG5J
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Maria Lúcia Bento Villela and Raquel Oliveira Prates. 2015. Supporting Designers in Modeling Privacy for Social Network Sites. In Proceedings of the 14th Brazilian Symposium on Human Factors in Computing Systems (Salvador, Brazil) (IHC '15). Association for Computing Machinery, New York, NY, USA, Article 12, 10 pages.
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Alyson L. Young and Anabel Quan-Haase. 2009. Information Revelation and Internet Privacy Concerns on Social Network Sites: A Case Study of Facebook. In Proceedings of the Fourth International Conference on Communities and Technologies (University Park, PA, USA) (Camp;T '09). Association for Computing Machinery, New York, NY, USA, 265--274.

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  1. Analyzing the application of the privacy design model in WhatsApp: a case study

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    IHC '20: Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems
    October 2020
    519 pages
    ISBN:9781450381727
    DOI:10.1145/3424953
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    Published: 23 December 2020

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    Author Tags

    1. instant messages
    2. online social networks
    3. privacy
    4. privacy design model

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    IHC '20 Paper Acceptance Rate 60 of 155 submissions, 39%;
    Overall Acceptance Rate 331 of 973 submissions, 34%

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