Three Fakes With Deep Learning Techniques Fake News, Fake Reviewers, and Deepfakes: A Survey

View Sample PDF

Author(s): Laor Boongasame (Department of Mathematics, Faculty of Science, King Mongkut's Institute of Technology Ladkrabang, Thailand)
Copyright: 2025
Pages: 34
Source title: Challenges for Digital Citizenship and Ethics: Social Media, Deep Fakes, and Virtual Communities
Source Author(s)/Editor(s): Maja Pucelj (EMUNI University, Slovenia)and Rado Bohinc (EMUNI University, Piran, Slovenia)
DOI: 10.4018/979-8-3693-7914-1.ch007

Keywords: Engineering Science Reference / Human-Computer Interaction / Interactive Technologies / Media & Communications

Purchase

View Three Fakes With Deep Learning Techniques Fake News, Fake Reviewers, and Deepfakes: A Survey on the publisher's website for pricing and purchasing information.

Abstract

The internet has brought convenience to the world. Many people communicate with each other through social media. Truth and lies are among the conveniences that people enjoy. Fake news and fake reviews cause problems for many people, both physically and mentally. For example, mentally, it may cause misunderstandings. Physically, it may lead to incorrect behavior towards the body, such as eating the wrong food or medicine. As a result, this paper presents a survey of research on various false stories that exist on social media. This paper will focus on three distinct topics: 1) fake news; 2) fake reviews; and 3) deepfakes. All three will be surveys of false stories used in deep learning. Some of the three tasks may contain the same information. At the same time, the theory may consist of multiple parts. Next, this chapter will present it in separate parts, hoping that readers will gain an understanding of fake social media and find it useful for future research.

The IRMA Community

Research IRM

Three Fakes With Deep Learning Techniques Fake News, Fake Reviewers, and Deepfakes: A Survey

Purchase

Abstract

Related Content

IRMA Sponsors