This paper is published in Volume-4, Issue-1, 2018
Area
Information Technology
Author
Mansour A. Alshaikhsaleh, Dr. Abdullah, Faisal, Prof. Mohamed Zohdy, Ahmad Alshammari
Org/Univ
Oakland University, Rochester, Michigan, USA, United States
Pub. Date
21 February, 2018
Paper ID
V4I1-1385
Publisher
Keywords
Semantic Network , Twitter Security, Information Technology.

Citationsacebook

IEEE
Mansour A. Alshaikhsaleh, Dr. Abdullah, Faisal, Prof. Mohamed Zohdy, Ahmad Alshammari. Privacy and Security on Twitter: A Semantic Network Analysis, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Mansour A. Alshaikhsaleh, Dr. Abdullah, Faisal, Prof. Mohamed Zohdy, Ahmad Alshammari (2018). Privacy and Security on Twitter: A Semantic Network Analysis. International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARIIT.com.

MLA
Mansour A. Alshaikhsaleh, Dr. Abdullah, Faisal, Prof. Mohamed Zohdy, Ahmad Alshammari. "Privacy and Security on Twitter: A Semantic Network Analysis." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2018). www.IJARIIT.com.

Abstract

As the technologies advance rapidly, the privacy and the security have become one of top concern in the digital communication in this age. Thus, we are trying to understand and drawing a conceptual view depend on how is the people view privacy and security in this era which has been changed and still changing and expanding as the technology developed. In order to analyze and see what it the person's apprehension regarding the view of the privacy and security, we have used one of the widespread social media which is Twitter. Based on the Twitter’s users view we have constructed our project and draw our conclusions. We have collected more than 125000 tweets to analysis them based on different aspects. This project mainly focused on privacy and security then it takes into account the Health Information Portability and Accountability Act (HIPAA), Facebook, and online keywords. After collecting the tweets, we have analyzed them using AutoMap tool. In the initial analysis, AutoMap extracts all of the words which have been occurring in the tweets along with each word frequency. As a second step of the analysis, we have filtered out all about numbers, symbols, and non-relative wording. Then, we took the most frequent work and did discourse analysis to see how these words are emerging. Based on discourse analysis, we have wiped out some of the words that appear in different context. From that point, we have drawn our discussion and conclusions. Based on our analysis, the privacy is beyond the information control and access. The people have changed their view regarding the privacy with the advancement of the technology. The Twitter’s users get concerned about their Facebook and Google personal data privacy. Particularly, when the Facebook has posted the new term and privacy policy, the users become more worried about their privacy. In addition, Twitter users’ were discussing the privacy and security of the mobile device to further assist the people who plan to buy in the near further. Moreover, they have anxiety regarding different acts and lows that are developed, and whether these laws will protect them or the laws will work against them.