ROI: A method for identifying organizations receiving personal data

Article Contributions This file enumerates and explains the distribution of the datasets in the files. Privacy Policies dataset This dataset ["Policies_urls.csv"] contains 142 privacy policy URLs with the corresponding organization. These URLs were obtained with the two methods (Selenium & Google) described in the article. This is the reason for duplicated URLs. 300 Domain Holders This dataset ["300_domain_holders.xlsx"] contains three different sheets for each of the datasets used for the validations described in the article i.e. Fortune 500, PII_receivers_1 (for the technique's evaluation) and PII_receivers_2 (for ROI's evaluation). Recipient Domains this dataset ["Domains_receiving_PII.csv"] contains the 40,493 dataflows corresponding to the 1,112 unique domains receiving personal data from Android apps.论文贡献说明 本文件对各文件内的数据集分布情况进行了枚举与阐释。 隐私政策数据集（Privacy Policies Dataset） 本数据集"Policies_urls.csv"包含142条隐私政策URL及其对应的所属机构。这些URL通过本文所述的Selenium与Google两种方法获取，因此存在重复URL的情况。 300个域名持有者数据集（300 Domain Holders） 本数据集"300_domain_holders.xlsx"包含三个独立工作表，分别对应本文验证实验所用的三类数据集：财富500强（Fortune 500）、用于技术评估的个人可识别信息（Personally Identifiable Information，简称PII）接收者1（PII_receivers_1）以及用于ROI评估的PII接收者2（PII_receivers_2）。 接收方域名数据集（Recipient Domains） 本数据集"Domains_receiving_PII.csv"包含40,493条数据流转记录，对应1,112个唯一域名，这些域名接收来自安卓应用（Android apps）的个人数据。