{"title":"Analyzing the application of the privacy design model in WhatsApp: a case study","authors":"M. Santos, Maria Lúcia Bento Villela, R. Prates","doi":"10.1145/3424953.3426538","DOIUrl":null,"url":null,"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.","PeriodicalId":102113,"journal":{"name":"Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3424953.3426538","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.
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