PrivacyCheck
PrivacyCheck
复制标题
隐私检查
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
K. S. Barber
中科院分区：
文献类型：
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作者：
Razieh Nokhbeh Zaeem;Rachel L. German;K. S. Barber
之前的研究表明，只有很小一部分用户在使用网站时实际阅读了他们默认的在线隐私政策。之前的研究还表明，用户忽视隐私政策，因为这些政策很长，平均需要2年的大学教育才能理解。我们提出了一种新的技术，通过自动提取在线隐私政策的摘要来解决这个问题。我们使用数据挖掘模型来分析隐私政策的文本，并回答有关用户数据的隐私和安全性，从中收集哪些信息以及如何使用这些信息的10个基本问题。为了训练数据挖掘模型，我们深入研究了400家公司（占纽约证券交易所，纳斯达克和美国证券交易所股票市场上市公司的10%）的隐私政策。我们的免费Chrome浏览器扩展程序PrivacyCheck利用数据挖掘模型来总结任何包含隐私政策的HTML页面。PrivacyCheck从目前可用的同行中脱颖而出，因为它随时适用于任何在线隐私政策。交叉验证结果表明，PrivacyCheck摘要在40%到73%的时间内是准确的。超过400名独立的Chrome用户目前正在使用PrivacyCheck。
Prior research shows that only a tiny percentage of users actually read the online privacy policies they implicitly agree to while using a website. Prior research also suggests that users ignore privacy policies because these policies are lengthy and, on average, require 2 years of college education to comprehend. We propose a novel technique that tackles this problem by automatically extracting summaries of online privacy policies. We use data mining models to analyze the text of privacy policies and answer 10 basic questions concerning the privacy and security of user data, what information is gathered from them, and how this information is used. In order to train the data mining models, we thoroughly study privacy policies of 400 companies (considering 10% of all listings on NYSE, Nasdaq, and AMEX stock markets) across industries. Our free Chrome browser extension, PrivacyCheck, utilizes the data mining models to summarize any HTML page that contains a privacy policy. PrivacyCheck stands out from currently available counterparts because it is readily applicable on any online privacy policy. Cross-validation results show that PrivacyCheck summaries are accurate 40% to 73% of the time. Over 400 independent Chrome users are currently using PrivacyCheck.