7 papers analyzed
These studies suggest that big data analytics pose significant privacy concerns, including conflicts with privacy goals, ethical challenges, the need for transparency, procedural protections, and the limitations of privacy self-management.
Big data analytics has revolutionized various sectors by enabling advanced computational problem-solving, business intelligence, and predictive analysis. However, this technological advancement brings significant privacy concerns. This synthesis explores the privacy issues associated with big data analytics, drawing insights from multiple research papers.
Privacy Violations and Protection Techniques:
Fundamental Tensions Between Big Data and Privacy:
Predictive Privacy Harms:
Challenges in Privacy Protection:
Limitations of Privacy Self-Management:
The privacy issues in big data analytics are multifaceted, involving fundamental tensions between data utility and privacy, predictive privacy harms, and the inadequacy of current privacy protection frameworks. Addressing these challenges requires a comprehensive approach that includes stronger protection techniques, new regulatory frameworks, and a collective understanding of privacy.
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