基于上下文属性的隐私设置:使用Google Buzz的案例研究

2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops) Pub Date : 2011-03-21 DOI:10.1109/PERCOMW.2011.5766879

D. Mashima, Prateek Sarkar, E. Shi, Chris Li, Richard Chow, D. Song

{"title":"基于上下文属性的隐私设置:使用Google Buzz的案例研究","authors":"D. Mashima, Prateek Sarkar, E. Shi, Chris Li, Richard Chow, D. Song","doi":"10.1109/PERCOMW.2011.5766879","DOIUrl":null,"url":null,"abstract":"Social networks provide users with privacy settings to control what information is shared with connections and other users. In this paper, we analyze factors influencing changes in privacy-related settings in the Google Buzz social network. Specifically, we show statistics on contextual data related to privacy settings that are derived from crawled datasets and analyze the characteristics of users who changed their privacy settings. We also investigate potential neighboring effects among such users.","PeriodicalId":369430,"journal":{"name":"2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Privacy settings from contextual attributes: A case study using Google Buzz\",\"authors\":\"D. Mashima, Prateek Sarkar, E. Shi, Chris Li, Richard Chow, D. Song\",\"doi\":\"10.1109/PERCOMW.2011.5766879\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Social networks provide users with privacy settings to control what information is shared with connections and other users. In this paper, we analyze factors influencing changes in privacy-related settings in the Google Buzz social network. Specifically, we show statistics on contextual data related to privacy settings that are derived from crawled datasets and analyze the characteristics of users who changed their privacy settings. We also investigate potential neighboring effects among such users.\",\"PeriodicalId\":369430,\"journal\":{\"name\":\"2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PERCOMW.2011.5766879\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOMW.2011.5766879","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 4

摘要

社交网络为用户提供隐私设置，以控制与连接和其他用户共享的信息。在本文中，我们分析了影响谷歌Buzz社交网络中隐私相关设置变化的因素。具体来说，我们显示了与从抓取数据集派生的隐私设置相关的上下文数据的统计数据，并分析了更改隐私设置的用户的特征。我们还调查了这些用户之间潜在的邻近效应。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Privacy settings from contextual attributes: A case study using Google Buzz

Social networks provide users with privacy settings to control what information is shared with connections and other users. In this paper, we analyze factors influencing changes in privacy-related settings in the Google Buzz social network. Specifically, we show statistics on contextual data related to privacy settings that are derived from crawled datasets and analyze the characteristics of users who changed their privacy settings. We also investigate potential neighboring effects among such users.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)

自引率

0.00%

发文量