Stepping Up to the Plate: The Google-Doubleclick Merger and the Role of the Federal Trade Commission in Protecting Online Data Privacy

2008 ◽  
Author(s):  
Eli Edwards
Keyword(s):  
Data Privacy ◽  
Federal Trade Commission ◽  
Online Data

Data-driven sector coupling in 5G-based smart networks

2021 ◽  
Vol 22 (1) ◽  
pp. 53-68
Author(s):  
Guenter Knieps
Keyword(s):  
Data Privacy ◽  
Service Providers ◽  
Policy Implications ◽  
Network Industries ◽  
5G Networks ◽  
Privacy And Security ◽  
Open Set ◽  
Application Service ◽  
Downstream Application

5G attains the role of a GPT for an open set of downstream IoT applications in various network industries and within the app economy more generally. Traditionally, sector coupling has been a rather narrow concept focusing on the horizontal synergies of urban system integration in terms of transport, energy, and waste systems, or else the creation of new intermodal markets. The transition toward 5G has fundamentally changed the framing of sector coupling in network industries by underscoring the relevance of differentiating between horizontal and vertical sector coupling. Due to the fixed mobile convergence and the large open set of complementary use cases, 5G has taken on the characteristics of a generalized purpose technology (GPT) in its role as the enabler of a large variety of smart network applications. Due to this vertical relationship, characterized by pervasiveness and innovational complementarities between upstream 5G networks and downstream application sectors, vertical sector coupling between the provider of an upstream GPT and different downstream application industries has acquired particular relevance. In contrast to horizontal sector coupling among different application sectors, the driver of vertical sector coupling is that each of the heterogeneous application sectors requires a critical input from the upstream 5G network provider and combines this with its own downstream technology. Of particular relevance for vertical sector coupling are the innovational complementarities between upstream GPT and downstream application sectors. The focus on vertical sector coupling also has important policy implications. Although the evolution of 5G networks strongly depends on the entrepreneurial, market-driven activities of broadband network operators and application service providers, the future of 5G as a GPT is heavily contingent on the role of frequency management authorities and European regulatory policy with regard to data privacy and security regulations.

Biobanking for Neurodegenerative Diseases: Challenge for Translational Research and Data Privacy

2021 ◽  
pp. 107385842110366
Author(s):  
Emilia Giannella ◽  
Valentino Notarangelo ◽  
Caterina Motta ◽  
Giulia Sancesario
Keyword(s):  
Neurodegenerative Diseases ◽  
Translational Research ◽  
Data Protection ◽  
Biological Samples ◽  
Data Privacy ◽  
Neurological Diseases ◽  
Great Effort ◽  
General Data Protection Regulation ◽  
In Silico Studies

Biobanking has emerged as a strategic challenge to promote knowledge on neurological diseases, by the application of translational research. Due to the inaccessibility of the central nervous system, the advent of biobanks, as structure collecting biospecimens and associated data, are essential to turn experimental results into clinical practice. Findings from basic research, omics sciences, and in silico studies, definitely require validation in clinically well-defined cohorts of patients, even more valuable when longitudinal, or including preclinical and asymptomatic individuals. Finally, collecting biological samples requires a great effort to guarantee respect for transparency and protection of sensitive data of patients and donors. Since the European General Data Protection Regulation 2016/679 has been approved, concerns about the use of data in biomedical research have emerged. In this narrative review, we focus on the essential role of biobanking for translational research on neurodegenerative diseases. Moreover, we address considerations for biological samples and data collection, the importance of standardization in the preanalytical phase, data protection (ethical and legal) and the role of donors in improving research in this field.

The Toolkit of Nationalist Populism in Contemporary Hungary: Symbols, Objects, and Modalities of Circulation

2021 ◽  
pp. 088832542095081
Author(s):  
Virág Molnár
Keyword(s):  
Political Communication ◽  
Far Right ◽  
Online Data ◽  
Everyday Objects ◽  
The People ◽  
Consumer Markets ◽  
History Of ◽  
Primary Focus ◽  
Material Circulation

This article belongs to the special cluster, “National, European, Transnational: Far-right activism in the 20th and 21st centuries”, guest edited by Agnieszka Pasieka. Research on populism attributes great significance to mapping the distinctive discursive logic of populist reasoning (e.g., the trope of pitting corrupt elites against the people). This article aims to move beyond the primary focus on discursive structures to stress the role of symbols, objects, and different modalities of circulation in the political communication of populist ideas, using the case of Hungary. By tracing the history of one of the key symbols of nationalist populism—the image of “Greater Hungary”—from its emergence in the interwar period to its present-day use, the article shows how the meanings and material forms this symbol assumed in political communication that evolved under different political regimes. The analysis builds on extensive archival, ethnographic, and online data to highlight how the diversity of material forms and the conduits through which this image circulated have contributed to its endurance as a key political symbol. Symbols, like the Greater Hungary image, condense complex historical narratives into a powerful sign that can be easily objectified, reproduced, and diffused. Today’s differentiated consumer markets provide convenient conduits for this kind of material circulation. These symbols carry meaning in and of themselves as signs, and once they are turned into everyday objects, they facilitate the normalization of radical politics by increasing their salience and broad visibility.

Developing annotation solutions for online Data Driven Learning

ReCALL ◽  
2009 ◽  
Vol 21 (1) ◽  
pp. 55-75 ◽  
Author(s):  
Pascual Pérez-Paredes ◽  
Jose M. Alcaraz-Calero
Keyword(s):  
Corpus Linguistics ◽  
Language Teaching ◽  
Language Education ◽  
Data Driven ◽  
Online Data ◽  
Analysis And Design ◽  
Language Classroom ◽  
Youth Language ◽  
User Friendly

AbstractAlthough annotation is a widely-researched topic in Corpus Linguistics (CL), its potential role in Data Driven Learning (DDL) has not been addressed in depth by Foreign Language Teaching (FLT) practitioners. Furthermore, most of the research in the use of DDL methods pays little attention to annotation in the design and implementation of corpus-based/driven language teaching.In this paper, we set out to examine the process of development of SACODEYL Annotator, an application that seeks to assist SACODEYL system users in annotating XML multilingual corpora. First, we discuss the role of annotation in DDL and the dominating paradigm in general corpus applications. In the context of the language classroom, we argue that it is essential that corpora should be pedagogically motivated (Braun, 2005 and 2007a). Then, we move on to deal with the analysis and design stages of our annotation solution by illustrating its main features. Some of these include a user friendly hierarchical and extensible taxonomy tree to facilitate the learner-oriented annotation of the corpora; real-time graphics representation of the annotated corpus matching the XML TEI-compliant (Text Encoding Initiative) standard, as well as an intuitive management of the different data sections and associated metadata.SACODEYL (System Aided Compilation and Open Distribution of European Youth Language) is an EU funded MINERVA project which aims to develop an ICT-based system for the assisted compilation and open distribution of multimedia European teen talk in the context of language education. This research lays emphasis on the functionalities of the application within the SACODEYL context. However, our paper addresses similarly the needs of potential multimedia language corpus administrators in general on the lookout for powerful annotation assisting software. SACODEYL Annotator is free to use and can be downloaded from our website.

Data Security for Connected Governments and Organisations

2021 ◽  
pp. 229-251
Author(s):  
Heru Susanto ◽  
Leu Fang Yie ◽  
Didi Rosiyadi ◽  
Akbari Indra Basuki ◽  
Desi Setiana
Keyword(s):  
Artificial Intelligence ◽  
Early Warning ◽  
Data Security ◽  
Data Privacy ◽  
Government Agencies ◽  
Security Measures ◽  
Security Issues ◽  
The Impact ◽  
Distributed Technologies

Digital ecosystems have grown rapidly over the years, and governments are investing in digital provision for their processes and services. Despite the advantages of distributed technologies, there are many security issues as well that result in breaches of data privacy with serious impact including legal and reputational implications. To deal with such threats, government agencies need to thoughtfully improve their security defences to protect data and systems by using automation and artificial intelligence (AI), as well as easing the data security measures including early warning of threats and detection. This study provides a comprehensive view of AI and automaton to highlight challenges and issues concerning data security and suggests steps to combat the issues. The authors demonstrate the role of AI-driven security tools and automation to mitigate the impact of data breaches to also propose recommendations for government agencies to enhance their data security protection.

scholarly journals That’s Private! Understanding Travelers’ Privacy Concerns and Online Data Disclosure

2020 ◽  
pp. 004728752095164
Author(s):  
Athina Ioannou ◽  
Iis Tussyadiah ◽  
Graham Miller
Keyword(s):  
Data Privacy ◽  
Personal Information ◽  
Empirical Studies ◽  
Personal Data ◽  
Tourism Industry ◽  
Online Data ◽  
Biometric Data ◽  
Identity Verification ◽  
Privacy Concerns ◽  
Travel And Tourism

Against the backdrop of advancements in technology and its deployment by companies and governments to collect sensitive personal information, information privacy has become an issue of great interest for academics, practitioners, and the general public. The travel and tourism industry has been pioneering the collection and use of biometric data for identity verification. Yet, privacy research focusing on the travel context is scarce. This study developed a valid measurement of Travelers’ Online Privacy Concerns (TOPC) through a series of empirical studies: pilot ( n=277) and cross-validation ( n=287). TOPC was then assessed for its predictive validity in its relationships with trust, risk, and intention to disclose four types of personal data: biometric, identifiers, biographic, and behavioral data ( n=685). Results highlight the role of trust in mitigating the relationship between travelers’ privacy concerns and data disclosure. This study provides valuable contribution to research and practice on data privacy in travel.

Sociotechnical Factors in the Endorsement of Governmental E-Transactions

2019 ◽  
Vol 27 (3) ◽  
pp. 38-64
Author(s):  
Ibrahim Abunadi ◽  
Fayez Hussain Alqahtani
Keyword(s):  
Communication Technology ◽  
Structural Equation ◽  
Quantitative Research ◽  
Information Communication ◽  
Online Data ◽  
Effective Utilization ◽  
Sociotechnical System ◽  
Design And Implementation ◽  
Equation Modelling

The success of governmental e-transactions in developing countries is due to the effective utilization of information communication technology. The current literature reports that e-transactions can meet with citizen reluctance. Due to its nature as a sociotechnical system, this article investigates the role of sociotechnical factors in the endorsement of e-transactions. Quantitative research was conducted to analyze online data from 663 participants from a population of 80,000 online users. Structural equation modelling was also performed to examine the association between sociotechnical factors and the acceptance of e-transactions. The results suggest that sociotechnical factors influence the usage of e-transactions. Thus, a theoretical sociotechnical model was developed which includes three levels: technical, organizational and social. A number of design and implementation activities, related to the three theorized levels, were suggested to guide governments in increasing the acceptance of e-transactions.

Sign in / Sign up

Export Citation Format

Share Document