The following is the Data and privacy in the digital age From Understanding big data recommended by recordtrend.com. And this article belongs to the classification: big data, research report.
With the continuous improvement of public awareness of big data and its value, government regulators are facing unprecedented pressure to act quickly, especially to keep up with the pace of technological change, so as to better protect the rights and interests of users. This report, “understanding big data: data and privacy in the digital age”, through a series of solid and practice-based research, provides a good foundation for public policy discussions such as data privacy and data competition.
By analyzing a large amount of empirical evidence from China, this report reveals how users make practical choices around data sharing. It also introduces and emphasizes the importance of privacy protection practices in the big data industry, including how enterprises use multi-party secure computing ( SMPC) And encryption technology to anonymize the data production process, so as to better protect the user’s personal information. With the emphasis on data privacy becoming the trend of the times, this report also provides some convincing “counterfactual” from different angles.
For example, closing the recommendation algorithm for more than 600000 users of a popular e-commerce platform (stopping using personal data to recommend products to users) has reduced the overall transaction by 86%, and only well-known brands are favored by users. In addition, the practical data show that the fraud loss rate of mobile payment platform based on big data risk control is higher ( 0.0005%) Far lower than the fraud loss rate of traditional bank credit card and debit card ( 0.02%)。 This reminds us that simply pursuing a world that restricts the free flow of big data may be a very undesirable way.
Nevertheless, the report does not advocate a completely laissez faire approach to data governance, but proposes guiding principles for data governance based on big data and the law of big data creating value, so as to ensure that everyone who plays a role in data production and use can abide by integrity and ethics.
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