如今，关于在大型科技公司平台上发现的隐私侵犯、歧视和偏见的新闻标题司空见惯，而大型科技公司不愿披露其运营方式，这与透明度、开放性和问责制的理想背道而驰。本书面向计算机科学专业的学生和研究人员，他们希望从实验、实证或定量的角度研究big tech的公司监控，从而为追究big tech的责任做出贡献。作为一个综合性的技术资源，本书将引导读者了解企业监控领域，并详细介绍企业监控的工作原理、如何对其进行实验研究，以及现有的研究发现了什么。它为必要的研究方法和工具提供了全面的基础，并介绍了当前的研究状况以及广泛的开放问题和挑战。这本书还解释了如何考虑伦理问题，以及如何将研究成果转化为现实世界的变化。
Auditing Corporate Surveillance Systems: Research Methods for Greater Transparency
News headlines about privacy invasions, discrimination, and biases discovered in the platforms of big technology companies are commonplace today, and big tech’s reluctance to disclose how they operate counteracts ideals of transparency, openness, and accountability. This book is for computer science students and researchers who want to study big tech’s corporate surveillance from an experimental, empirical, or quantitative point of view and thereby contribute to holding big tech accountable. As a comprehensive technical resource, it guides readers through the corporate surveillance landscape and describes in detail how corporate surveillance works, how it can be studied experimentally, and what existing studies have found. It provides a thorough foundation in the necessary research methods and tools, and introduces the current research landscape along with a wide range of open issues and challenges. The book also explains how to consider ethical issues and how to turn research results into real-world change.
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