This curriculum offers 10 lesson plans that cover some of the major themes of Media and Information Literacy (MIL) in the digital era. The lesson plans are written as a teaching guide and combine core knowledge
content with “MILAB” activities that enable educators to explore further how to incorporate MIL in the
classroom.
A number of social media platforms have emerged as dominant medium for societal discourse, enabling significant user involvement in creation and shaping of social media contents. However, the phenomenon raises the challenge of digital identity management on such platforms in order to maintain reputations and ensure information privacy preservation. This study examined the factors that influence users’ decision to disclose personal information on Social Media and their antecedents. We employed a mixed-methods approach based on analysis of data of 250 respondents from tertiary institutions in Ghana, and 8 focus group discussions comprising 86 participants. The results revealed a lack of user awareness and appreciation of the limitations of the privacy settings on social media platforms. Secondly, we observed that users’ ability to establish the legitimacy of parties to social media interactions are fundamental requirements in how individuals engage social media. Finally, there is a disparity between information privacy concerns and actual privacy practices of users on social media.
Background: There is limited understanding of the concept of the digital identity of young children created through engagement
on social networking sites.
Objective: The objective of this scoping review was to identify key characteristics of the concept of digital identity for children
from conception to the age of 8 years on social networking sites.
Methods: This scoping review was conducted using the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and
Meta-Analyses extension for Scoping Reviews) guidelines. The key databases searched were EBSCO, Web of Science, ProQuest
ERIC, and Scopus. Gray literature sources (National Grey Literature Collection, ProQuest Dissertations and Theses, and Google
Scholar) were also searched to identify unpublished studies. Articles were selected if they were published in English and reported
data on the digital identity of children in relation to social networking sites.
Results: The key terms used in the literature were sharenting, followed by digital footprints and children’s identities. Our study
revealed 2 approaches to the creation of digital identity: social digital identity and performative digital identity. The articles in
this review most commonly used the term sharenting to describe the behavior parents engage in to create digital identities for
children on social networking sites. Motivations to post information about children differed among parents; however, the most
common reasons were to share with friends and family and create digital archives of childhood photos, termed social digital
identity. The second motivation was categorized as performative digital identity. The risk of digital kidnapping and identity theft
associated with the creation of digital identities also influenced parents’ behaviors.
There is a notable disparity between the guidelines for BCG therapy in non-muscle invasive bladder cancer (NMIBC). Reddit has emerged as a popular online platform for individuals seeking information and exchanging their experiences related to bladder cancer.
The creation of the Catalan Association for Artificial Intelligence (ACIA) was driven not only by practical and scientific objectives, but also by a powerful symbolic vision. It showcases the potential of Catalan society to produce innovative ideas and add value on a global scale. This paper illustrates the pivotal role of the ACIA in the development and consolidation of artificial intelligence (AI) research in Catalonia and across Europe. Founded in 1994, ACIA emerged from the need to create a cohesive AI research community in Catalan-speaking territories and to promote AI literacy. Over the past three decades, ACIA has made significant contributions to AI research through initiatives detailed in this paper, such as the International Conference on AI (CCIA), the magazine NODES, the Marc Esteva Vivanco Award for the Best PhD thesis in AI, and the donesIAcat working group. By presenting these initiatives, analyzing the evolution of AI research topics in Catalonia, and detailing ACIA’s involvement in Europe—including its role within EurAI and its industrial and international impact—, this article highlights how local AI societies contribute to the advancement of AI in Europe while preserving their unique cultural and academic identities. Finally, the future evolution of AI in Europe is discussed.
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.