Understanding the Landscape of Online Deception

Author:

Hage Hicham1,Aïmeur Esma2,Guedidi Amel2

Affiliation:

1. Notre Dame University – Louaize, Lebanon

2. Université de Montréal, Canada

Abstract

While fake and distorted information has been part of our history, new information and communication technologies tremendously increased its reach and proliferation speed. Indeed, in current days, fake news has become a global issue, prompting reactions from both researchers and legislators in an attempt to solve this problem. However, fake news and misinformation are part of the larger landscape of online deception. Specifically, the purpose of this chapter is to present an overview of online deception to better frame and understand the problem of fake news. In detail, this chapter offers a brief introduction to social networking sites, highlights the major factors that render individuals more susceptible to manipulation and deception, detail common manipulation and deception techniques and how they are actively used in online attacks as well as their common countermeasures. The chapter concludes with a discussion on the double role or artificial intelligence in countering as well as creating fake news.

Publisher

IGI Global

Reference93 articles.

1. Phishing detection: A recent intelligent machine learning comparison based on models content and features

2. Privacy in electronic commerce and the economics of immediate gratification

3. Acquisti, A., Adjerid, I., Balebako, R., Brandimarte, L., Cranor, L. F., Komanduri, S., … Wilson, S. (2017). Nudges for Privacy and Security: Understanding and Assisting Users’ Choices Online. ACM Comput. Surv., 50(3), 44:1–44:41.

4. Privacy and human behavior in the age of information

5. Agarwal, S., Farid, H., Gu, Y., He, M., Nagano, K., & Li, H. (2019). Protecting World Leaders Against Deep Fakes. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. Retrieved from http://openaccess.thecvf.com/content_CVPRW_2019/papers/Media%20Forensics/Agarwal_Protecting_World_Leaders_Against_Deep_Fakes_CVPRW_2019_paper.pdf

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