Employing a Mixed Method to Explore Mobile Social Media Users' Big Data Privacy Concerns

2016 ◽  
pp. 1528-1548
Author(s):  
Kenneth C. C. Yang ◽  
Yowei Kang
Keyword(s):  
Social Media ◽  
Big Data ◽  
Social Networking ◽  
Data Privacy ◽  
Mobile Technologies ◽  
Personal Privacy ◽  
Privacy Concerns ◽  
Early 21St Century ◽  
Data Practices ◽  
Networking Technologies

Since its introduction in the early 21st century, mobile social media have played an indispensable part in contemporary human experiences. The convergence of social networking and mobile technologies and services creates a fascinating circumstance because the pervasive nature of mobile social networking technologies has impacted on users' privacy. The chapter employed a mixed research method to collect and analyze mobile social media users' experiences and privacy concerns in the age of Big Data. A total of 57 participants were included in this study. Collected data was analyzed by examining mobile social media users' experiences and their concerns over privacy. Findings from this study showed the rising concerns over personal privacy as a result of convergence of mobile social media and Big Data practices by the advertising industry. Theoretical and practical implications were discussed.

Employing a Mixed Method to Explore Mobile Social Media Users' Big Data Privacy Concerns

2015 ◽  
pp. 302-320
Author(s):  
Kenneth C. C. Yang ◽  
Yowei Kang
Keyword(s):  
Social Media ◽  
Big Data ◽  
Social Networking ◽  
Data Privacy ◽  
Mobile Technologies ◽  
Personal Privacy ◽  
Privacy Concerns ◽  
Early 21St Century ◽  
Data Practices ◽  
Networking Technologies

Since its introduction in the early 21st century, mobile social media have played an indispensable part in contemporary human experiences. The convergence of social networking and mobile technologies and services creates a fascinating circumstance because the pervasive nature of mobile social networking technologies has impacted on users' privacy. The chapter employed a mixed research method to collect and analyze mobile social media users' experiences and privacy concerns in the age of Big Data. A total of 57 participants were included in this study. Collected data was analyzed by examining mobile social media users' experiences and their concerns over privacy. Findings from this study showed the rising concerns over personal privacy as a result of convergence of mobile social media and Big Data practices by the advertising industry. Theoretical and practical implications were discussed.

scholarly journals Social networking and privacy attitudes among college students

2017 ◽  
Vol 6 (2) ◽  
pp. 82 ◽  
Author(s):  
Kristen A. Carruth ◽  
Harvey J. Ginsburg
Keyword(s):  
College Students ◽  
Social Media ◽  
Social Networking ◽  
Self Efficacy ◽  
White Female ◽  
Personal Privacy ◽  
Redes Sociales ◽  
Privacy Concerns ◽  
Medios Sociales ◽  
Estudiantes Universitarios

Abstract: Daily use of social networking sites (SNS) such as Facebook has become routine for millions of Internet users. Facebook is currently still the most popular social media site. Social networking has been rapidly adopted by societies around the world. In particular, social media like Facebook provide sites where users can personalize a profile with their information, pictures, and videos that can be shared with other users. This information can be used in ways that may violate users’ privacy with or without their knowledge. The hypotheses were that use of Facebook, user self-efficacy for social media and users’ general attitudes about privacy expectations are predictors of specific attitudes towards Facebook social media privacy, among a sample of 284, mostly white female, undergraduate college students in their twenties. Facebook self-efficacy and Facebook personal privacy violations were significant determinants of general Internet social media privacy concerns. However, Facebook use was not a significant factor for general Internet social media privacy concerns. Perceived benefits of Facebook generally appear to outweigh risks of disclosing personal information. Las redes sociales y las actitudes de privacidad entre los estudiantes universitarios Resumen: El uso diario de las redes sociales (SNS), tales como Facebook, se ha convertido en rutina para millones de usuarios de Internet. Facebook es actualmente todavía la red social más popular. Las redes sociales han sido rápidamente adoptadas por las sociedades de todo el mundo. En particular, las redes sociales como Facebook ofrecen sitios donde los usuarios pueden personalizar un perfil con sus datos, fotografías y vídeos que se pueden compartir con otros usuarios. Esta información se puede utilizar en maneras que pueden violar la privacidad de los usuarios, con o sin su conocimiento. Las hipótesis fueron que el uso de Facebook, la auto-eficacia del Usuario para los medios sociales y las actitudes generales de los usuarios acerca de las expectativas de privacidad se mostarían como predictores de las actitudes específicas hacia la privacidad de los medios de comunicación de Facebook en una muestra de 284 estudiantes universitarios de grado, en su mayoría mujeres blancas de unos veinte años. La autoeficacia en Facebook y las violaciones de privacidad personal en Facebook, fueron determinantes significativos de las preocupaciones sobrela privacidad general de los medios sociales en Internet. Sin embargo, el uso de Facebook no fue un factor significativo para la preocupación sobre la privacidad general de las redes sociales en internet. Los beneficios percibidos de Facebook en general parecen superar los riesgos percibidos sobre la revelación de información personal.

scholarly journals How to address data privacy concerns when using social media data in conservation science

2021 ◽  
Author(s):  
Enrico Di Minin ◽  
Christoph Fink ◽  
Anna Hausmann ◽  
Jens Kremer ◽  
Ritwik Kulkarni
Keyword(s):  
Social Media ◽  
Data Privacy ◽  
Conservation Science ◽  
Social Media Data ◽  
Privacy Concerns ◽  
Address Data ◽  
Media Data

Driving for Big Data? Privacy Concerns in Vehicular Networking

2014 ◽  
Vol 12 (1) ◽  
pp. 77-79 ◽  
Author(s):  
David Eckhoff ◽  
Christoph Sommer
Keyword(s):  
Big Data ◽  
Data Privacy ◽  
Privacy Concerns ◽  
Vehicular Networking ◽  
Big Data Privacy

scholarly journals Solutions to Big Data Privacy and Security Challenges Associated With COVID-19 Surveillance Systems

2021 ◽  
Vol 4 ◽  
Author(s):  
Vibhushinie Bentotahewa ◽  
Chaminda Hewage ◽  
Jason Williams
Keyword(s):  
Big Data ◽  
Data Privacy ◽  
Personal Data ◽  
Surveillance Systems ◽  
Privacy Rights ◽  
Personal Privacy ◽  
Privacy And Security ◽  
Digital Surveillance ◽  
Feasible Solutions ◽  
The Impact

The growing dependency on digital technologies is becoming a way of life, and at the same time, the collection of data using them for surveillance operations has raised concerns. Notably, some countries use digital surveillance technologies for tracking and monitoring individuals and populations to prevent the transmission of the new coronavirus. The technology has the capacity to contribute towards tackling the pandemic effectively, but the success also comes at the expense of privacy rights. The crucial point to make is regardless of who uses and which mechanism, in one way another will infringe personal privacy. Therefore, when considering the use of technologies to combat the pandemic, the focus should also be on the impact of facial recognition cameras, police surveillance drones, and other digital surveillance devices on the privacy rights of those under surveillance. The GDPR was established to ensure that information could be shared without causing any infringement on personal data and businesses; therefore, in generating Big Data, it is important to ensure that the information is securely collected, processed, transmitted, stored, and accessed in accordance with established rules. This paper focuses on Big Data challenges associated with surveillance methods used within the COVID-19 parameters. The aim of this research is to propose practical solutions to Big Data challenges associated with COVID-19 pandemic surveillance approaches. To that end, the researcher will identify the surveillance measures being used by countries in different regions, the sensitivity of generated data, and the issues associated with the collection of large volumes of data and finally propose feasible solutions to protect the privacy rights of the people, during the post-COVID-19 era.

scholarly journals One Size Does Not Fit All: Trade-offs between Misuse Probability and Level of Sanitization for Big Data

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3606-3611
Keyword(s):  
Big Data ◽  
Empirical Study ◽  
Cloud Storage ◽  
Data Privacy ◽  
Public Cloud ◽  
Mapreduce Framework ◽  
Privacy Concerns ◽  
Time Restrictions ◽  
Trade Offs ◽  
Made In

Big data privacy has assumed importance as the cloud computing became a phenomenal success in providing a remote platform for sharing computing resources without geographical and time restrictions. However, the privacy concerns on the big data being outsourced to public cloud storage are still exist. Different anonymity or sanitization techniques came into existence for protecting big data from privacy attacks. In our prior works, we have proposed a misusability probability based metric to know the probable percentage of misusability. We additionally planned a system that suggests level of sanitization before actually applying privacy protection to big data. It was based on misusability probability. In this paper, our focus is on further evaluation of our misuse probability based sanitization of big data approach by defining an algorithm which willanalyse the trade-offs between misuse probability and level of sanitization. It throws light into the proposed framework and misusability measure besides evaluation of the framework with an empirical study. Empirical study is made in public cloud environment with Amazon EC2 (compute engine), S3 (storage service) and EMR (MapReduce framework). The experimental results revealed the dynamics of the trade-offs between them. The insights help in making well informed decisions while sanitizing big data to ensure that it is protected without losing utility required.

Need for Dynamicity in Social Networking Sites

2014 ◽  
pp. 64-87
Author(s):  
Gurdeep S Hura
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Big Data ◽  
Social Networking ◽  
Real World ◽  
Social Networking Sites ◽  
Data Science ◽  
Emerging Technology ◽  
New Applications ◽  
Future Status

This chapter presents this new emerging technology of social media and networking with a detailed discussion on: basic definitions and applications, how this technology evolved in the last few years, the need for dynamicity under data mining environment. It also provides a comprehensive design and analysis of popular social networking media and sites available for the users. A brief discussion on the data mining methodologies for implementing the variety of new applications dealing with huge/big data in data science is presented. Further, an attempt is being made in this chapter to present a new emerging perspective of data mining methodologies with its dynamicity for social networking media and sites as a new trend and needed framework for dealing with huge amount of data for its collection, analysis and interpretation for a number of real world applications. A discussion will also be provided for the current and future status of data mining of social media and networking applications.

Social Media in Higher Education

2019 ◽  
pp. 898-922
Author(s):  
Laura Aymerich-Franch
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Focus Group ◽  
Social Networking ◽  
Undergraduate Students ◽  
Teaching Resources ◽  
American University ◽  
Privacy Concerns ◽  
Spanish Universities ◽  
The University

This chapter analyses privacy concerns of students and faculty resulting from the adoption of social media as teaching resources in higher education. In addition, the chapter focuses on privacy concerns that social media can cause to faculty when they are used for social networking. A trans-cultural study was carried out which involved three Spanish universities, a Colombian university, and an American university. A focus group was organized with PhD students to brainstorm the topic. Afterwards, 94 undergraduate students completed a survey and 18 lecturers participated in a written interview. Results indicate that social media are widely adopted in the university and are perceived as valuable resources for teaching. However, privacy concerns can easily emerge among students and faculty when these applications are used for this purpose. Concerns may appear when social media are used for social networking as well. The text also offers some guidelines to overcome them.

Libraries at the Crossroads

2016 ◽  
pp. 2009-2024
Author(s):  
Akakandelwa Akakandelwa
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Ethical Issues ◽  
Mitigation Strategies ◽  
Library Services ◽  
Ethical Challenges ◽  
The Third ◽  
Networking Technologies ◽  
Use Of Social Media ◽  
Social Networking Tools

This chapter discusses the various ethical challenges librarians face as they provide library services through the use of social networking technologies. Specifically, the chapter identifies the major ethical issues being encountered by librarians in the use of social media, the implications to professional practice, and the mitigation strategies that can be used to address these issues. The first section is a brief introduction to social networking tools and their uses in the provision of library services. It also discusses the benefits of adoption of social media in libraries. The second section discusses the major ethical challenges being faced by libraries as they integrate social media in their outreach programmes. The third section discusses implications of use of social media in the provision of library services and attempts to recommend measures and practices librarians should undertake to ensure ethical use of social media in their operations. The fourth section is a conclusion to the chapter.

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