大数据应用中的隐私问题:基于Facebook的实证研究

Jerzy Surma
{"title":"大数据应用中的隐私问题:基于Facebook的实证研究","authors":"Jerzy Surma","doi":"10.1109/SocialCom.2013.150","DOIUrl":null,"url":null,"abstract":"When using mobile phones, credit cards, electronic mail, browsing social networks etc., contemporary consumers leave behind thousands of digital footprints. Each footprint reflects actual actions that we take in given place and time. The analysis of thousands of such footprints conducted among large groups of people allows us to examine human behaviour on a scale that has never been imagined in scientific studies concerning psychology and sociology. The results of those analyses already have a significant influence on contemporary management, especially when it comes to new business opportunities in companies that employ business models based on the one-to-one relations with their customers. Nevertheless, this outstanding opportunity implies an enormous privacy problem. We will illustrate this issue by an empirical research based on the data gathered from Facebook, where users are using privacy controls that allow displaying their content only to a selected group of people. Users of such controls will likely continue positing more, even as their network grows or becomes sparser. We test these predictions using a dataset from Facebook gathered from a sample of college students and find statistical support for them. Our conclusions are that individuals are relatively prudent and are actually very aware of the social norms.","PeriodicalId":129308,"journal":{"name":"2013 International Conference on Social Computing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"The Privacy Problem in Big Bata Applications: An Empirical Study on Facebook\",\"authors\":\"Jerzy Surma\",\"doi\":\"10.1109/SocialCom.2013.150\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When using mobile phones, credit cards, electronic mail, browsing social networks etc., contemporary consumers leave behind thousands of digital footprints. Each footprint reflects actual actions that we take in given place and time. The analysis of thousands of such footprints conducted among large groups of people allows us to examine human behaviour on a scale that has never been imagined in scientific studies concerning psychology and sociology. The results of those analyses already have a significant influence on contemporary management, especially when it comes to new business opportunities in companies that employ business models based on the one-to-one relations with their customers. Nevertheless, this outstanding opportunity implies an enormous privacy problem. We will illustrate this issue by an empirical research based on the data gathered from Facebook, where users are using privacy controls that allow displaying their content only to a selected group of people. Users of such controls will likely continue positing more, even as their network grows or becomes sparser. We test these predictions using a dataset from Facebook gathered from a sample of college students and find statistical support for them. Our conclusions are that individuals are relatively prudent and are actually very aware of the social norms.\",\"PeriodicalId\":129308,\"journal\":{\"name\":\"2013 International Conference on Social Computing\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Social Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SocialCom.2013.150\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Social Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SocialCom.2013.150","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

在使用手机、信用卡、电子邮件、浏览社交网络等过程中,当代消费者留下了成千上万的数字足迹。每个足迹都反映了我们在特定地点和时间采取的实际行动。对在一大群人中进行的数千个这样的脚印的分析,使我们能够在心理学和社会学的科学研究中从未想象过的范围内研究人类行为。这些分析的结果已经对当代管理产生了重大影响,特别是当涉及到采用基于与客户一对一关系的商业模式的公司的新商业机会时。然而,这个绝佳的机会意味着巨大的隐私问题。我们将通过一项基于从Facebook收集的数据的实证研究来说明这个问题,Facebook用户使用隐私控制,只允许向选定的一组人显示他们的内容。这些控制的用户可能会继续设置更多,即使他们的网络增长或变得稀疏。我们使用从Facebook收集的大学生样本数据集来测试这些预测,并为它们找到统计支持。我们的结论是,个人相对谨慎,实际上非常了解社会规范。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The Privacy Problem in Big Bata Applications: An Empirical Study on Facebook
When using mobile phones, credit cards, electronic mail, browsing social networks etc., contemporary consumers leave behind thousands of digital footprints. Each footprint reflects actual actions that we take in given place and time. The analysis of thousands of such footprints conducted among large groups of people allows us to examine human behaviour on a scale that has never been imagined in scientific studies concerning psychology and sociology. The results of those analyses already have a significant influence on contemporary management, especially when it comes to new business opportunities in companies that employ business models based on the one-to-one relations with their customers. Nevertheless, this outstanding opportunity implies an enormous privacy problem. We will illustrate this issue by an empirical research based on the data gathered from Facebook, where users are using privacy controls that allow displaying their content only to a selected group of people. Users of such controls will likely continue positing more, even as their network grows or becomes sparser. We test these predictions using a dataset from Facebook gathered from a sample of college students and find statistical support for them. Our conclusions are that individuals are relatively prudent and are actually very aware of the social norms.
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
自引率
0.00%
发文量
0
期刊最新文献
A Novel Group Recommendation Algorithm with Collaborative Filtering Access Control Policy Extraction from Unconstrained Natural Language Text Stock Market Manipulation Using Cyberattacks Together with Misinformation Disseminated through Social Media Friendship Prediction on Social Network Users An Empirical Comparison of Graph Databases
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1