Mapping Boundaries

Author:

Dhabliya Dharmesh1ORCID,Gupta Ankur2ORCID,Dari Sukhvinder Singh3ORCID,Soni Monika4,Kumar Jambi Ratna Raja5,Ikhar Sharayu6,Pramanik Sabyasachi7ORCID

Affiliation:

1. Vishwakarma Institute of Information Technology, India

2. Vaish College of Engineering, India

3. Symbiosis International University (Deemed), India

4. Auricle Global Society of Education and Research, India

5. Genba Sopanrao Moze College of Engineering, India

6. Yashika Journal Publications Pvt. Ltd., India

7. Haldia Institute of Technology, India

Abstract

Different digital communication technologies provide different methods and capacities for monitoring, self-disclosure, and privacy control. As a result, different user behaviors and attitudes about privacy are elicited. This study examines the similarities and differences between computer and mobile phone usage using content analysis of 12 focus groups with college students at a US institution between 2006 and 2022. It does this by drawing on the media mastery framework and the comparative privacy research framework. The comparisons and their combinations among certain privacy-related codes from the boundaries subcomponent of the media mastery framework show both notable parallels and differences, according to the analysis. Excerpts from the focus groups provide more context for these conclusions. A cluster analysis of the codes identifies a number of overarching themes, including trust and safety and stepping over the private-public dividing line. There are theoretical and practical ramifications to the topic.

Publisher

IGI Global

Reference32 articles.

1. AhamadS.JananiS.TalukdarV.SharmaT.SahuA.PramanikS.GuptaA. (2023). Apollo Hospital’s Proposed Use of Big Data Healthcare Analytics. In Big Data Analytics Techniques for Market Intelligence. IGI Global.

2. Efficacy of an Adaptive Game-Based Math Learning App to Support Personalized Learning and Improve Early Elementary School Students’ Learning

3. Big Data Architecture for Network Security

4. Impact of Big Data on Digital Transformation in 5G Era

5. Privacy Behaviour: A Model for Online Informed Consent

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