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.数据集说明：本文件对各文件中包含的数据集进行了逐一列举，并阐释了其分布情况。 隐私政策数据集：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两种方法采集，这也是URL存在重复的原因。 300个域名持有者数据集：本数据集（"300_domain_holders.xlsx"）包含三个独立工作表，对应本文验证环节所用的三组数据集，分别为《财富》500强（Fortune 500）、用于技术效果评估的PII（个人可识别信息，Personally Identifiable Information）接收者1（PII_receivers_1），以及用于投资回报率（ROI，Return on Investment）评估的PII接收者2（PII_receivers_2）。 接收域名数据集：本数据集（"Domains_receiving_PII.csv"）包含40493条数据流转记录，对应1112个从安卓（Android）应用接收个人数据的唯一域名。