This guide simplifies data privacy concepts, explaining personal data flows, risks, and compliance. It introduces foundational laws like GDPR and CCPA, connecting everyday business decisions—such as cookies and emails—to privacy risks.
This comprehensive guide explores technical frameworks for protecting information, covering data masking, cryptographic methods, and privacy-preserving data mining. It bridges the gap between theoretical privacy models and practical technological implementation.
This handbook explores the moral and ethical foundations of data protection. It provides practical frameworks for organizational governance, focusing on how data shapes identity and individual rights in a digital-first world.
This comprehensive guide explores data privacy through anonymization, mining, and protection techniques. It bridges the gap between theoretical privacy principles and practical implementation across sectors like banking, healthcare, and retail.
This collection explores the intersection of data science and machine learning with consumer trust. It examines how companies can navigate vague regulations to protect privacy while still gaining valuable customer insights.
This study introduces the "privacy contract" concept to examine how first and third-party data handling affects consumer reactions. Findings show that both parties' actions significantly impact customer continuance intentions
This paper examines how firms can leverage big data analytics while satisfying consumer privacy. It proposes five data responsibilities—collection, verification, storage, analytics, and dissemination—and evaluates implementation at consumer, intermediary, and firm levels
An Act regulating digital personal data processing in India, balancing individual rights to data protection with lawful processing needs, and establishing a Data Protection Board for compliance and grievance redressal.
This study examines Polish adolescents' knowledge and attitudes regarding surveillance capitalism. It investigates how awareness of hidden algorithmic data collection influences their institutional privacy protection practices and protective strategies.
This qualitative study examines privacy policies and historical data violations of major social media platforms, evaluating their compliance with international regulations (GDPR/KVKK) while highlighting the need for transparent, user-friendly security mechanisms
This article explores how "surveillance capitalism" commoditizes user data through ubiquitous technology, creating power asymmetries between corporations and consumers while challenging traditional definitions of digital privacy and democratic control
This systematic review of 51 papers examines privacy concerns and protection strategies in social networks. It concludes that while users fear identity theft, privacy policies do not directly impact sharing behavior
This study explores how AI-driven data collection affects consumer trust in digital marketing. It examines ethical challenges, regulatory frameworks like GDPR and CCPA, and proposes actionable solutions for transparent data practices
This comprehensive report details FTC enforcement actions, rulemaking, and policy initiatives regarding artificial intelligence, health privacy, geolocation tracking, and children’s data security to protect consumer rights within the digital ecosystem.
This study examines the relationship between Polish adolescents' knowledge of surveillance capitalism and their institutional privacy protection behaviors, finding that specialized workshops significantly increase the use of data protection practices.
This qualitative study explores audience experiences regarding personal data protection in Indonesia during the pandemic. Findings highlight common cybercrimes like fraud and the urgent need for comprehensive national data protection laws.
This paper examines how big data's characteristics—volume, velocity, variety, variability, and complexity—affect consumer privacy and security during data collection, storage, and sharing, highlighting varying impacts based on consumer technological sophistication.
This chapter explores surveillance capitalism, analyzing how tech giants transform user data into behavioral predictions. It evaluates AI governance's potential to either mitigate or exacerbate modern privacy risks.
This global survey of 2,600+ adults examines evolving consumer attitudes toward privacy laws, data protection actions, and the ethical use of AI, highlighting a growing "Privacy Active" segment demanding corporate trust.
This paper argues that the current U.S. data privacy framework is fragmented and ineffective. It proposes a comprehensive federal law and a new independent agency to protect consumer data rights.
This paper examines informational capitalism and the expansion of consumer surveillance. It argues for recognizing personal data protection as a fundamental right to safeguard dignity in the digital marketplace.
This research examines how internet usage and data privacy concerns impact consumer behavior. Through literature reviews and interviews, it explores user anxiety regarding tracking, unsolicited communications, and e-commerce security.
This article evaluates the benefits and costs of privacy regulations, arguing that personalized marketing isn't always harmful and that current policies may unintentionally disadvantage low-income consumers and small businesses .
This paper presents a systematic literature review of 66 papers regarding synthetic data generation for privacy preservation. It identifies research gaps, specifically in non-medical domains, and proposes future research directions.
This paper investigates why traditional privacy theories fail to limit surveillance capitalism's influence. It explores the resulting threats to personal autonomy and democracy, suggesting the problem be reframed as one of liberty.