Surveillance Capitalism Revealed: Tracing The Hidden World Of Web Data Collection
Antony Seabra de Medeiros, Luiz Afonso Glatzl Junior, Sergio Lifschitz

TL;DR
This paper uncovers the mechanisms of Surveillance Capitalism by analyzing web traffic to reveal data harvesting practices, emphasizing the need for better data protection and transparency in digital privacy.
Contribution
It provides detailed analysis of personal data transfer during web navigation, revealing specific data types and algorithms involved in data harvesting practices.
Findings
Identification of data types exchanged during web browsing
Evidence of sophisticated data harvesting algorithms
Strategies proposed for improving data protection and transparency
Abstract
This study investigates the mechanisms of Surveillance Capitalism, focusing on personal data transfer during web navigation and searching. Analyzing network traffic reveals how various entities track and harvest digital footprints. The research reveals specific data types exchanged between users and web services, emphasizing the sophisticated algorithms involved in these processes. We present concrete evidence of data harvesting practices and propose strategies for enhancing data protection and transparency. Our findings highlight the need for robust data protection frameworks and ethical data usage to address privacy concerns in the digital age.
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Taxonomy
TopicsSocial Media and Politics
