Auditing Corporate Surveillance Systems Research Methods for Greater Transparency

A technical guide to performing systematic experiments that create more transparency for corporate surveillance and its algorithms.

Info autore

Isabel Wagner is an Associate Professor in the Cyber Technology Institute at De Montfort University. She is a Senior Member of IEEE and ACM. Her research in privacy, computer networks, and experimental research methods is the foundation for this book on transparency and web measurement. She has given tutorials on this topic, for example at WWW 2020, and taught undergraduate and postgraduate courses on experimental methods to study corporate surveillance.

Riassunto

This book explains on a technical level how big tech companies like Google and Facebook track users on the web and sell user profiles for advertising, and it teaches computer science researchers, students, and journalists how to audit corporate surveillance systems to make them more transparent.

Prefazione

A technical guide to performing systematic experiments that create more transparency for corporate surveillance and its algorithms.

Dettagli sul prodotto

• Autori: Isabel Wagner, Isabel (De Montfort University Wagner
• Editore: Cambridge University Press ELT
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 31.10.2021
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica; Scienze sociali, diritto, economia > Diritto > Diritto penale, diritto processuale penale, crimin; Guide e manuali
• EAN: 9781108837668
• ISBN: 978-1-108-83766-8
• Numero di pagine: 180
• Categorie: Data Mining, COMPUTERS / Security / General, Corporate crime, Corporate crime / white-collar crime, Privacy & data protection, Privacy and data protection, Ethical & social aspects of IT, Legal aspects of IT, Hospitality and service industries, Privacy law, Data Protection Law, Surveillance Services, Databases & the Web, Databases and the Web, Digital and information technologies: Legal aspects, Data capture and analysis, Data Capture & Analysis