Deepfake Identification: A Human-Oriented Perspective

Dion Hoe Lian Goh; Chei Sian Lee

doi:10.4324/9781003403166-32

Deepfake Identification: A Human-Oriented Perspective

Dion Hoe Lian Goh, Chei Sian Lee

Nanyang Technological University

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Deepfakes are a potential source of disinformation, and the ability to identify them is imperative. Using semi-structured interviews, this chapter examines how participants based in Singapore identify real and deepfake videos. This chapter contributes to research by shifting the focus from the algorithmic detection of deepfakes to human-oriented strategies from an Asian perspective.

Original language	English
Title of host publication	Fake News Across Asian Countries
Publisher	Taylor and Francis
Pages	278-287
Number of pages	10
ISBN (Electronic)	9781040328583
ISBN (Print)	9781032516233
DOIs	https://doi.org/10.4324/9781003403166-32
Publication status	Published - Jan 1 2025
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2025 selection and editorial matter, Edson C. Tandoc Jr.; individual chapters, the contributors.

ASJC Scopus Subject Areas

General Social Sciences
General Arts and Humanities
General Business,Management and Accounting

Access to Document

10.4324/9781003403166-32

Cite this

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Deepfake Identification: A Human-Oriented Perspective

Abstract

Bibliographical note

ASJC Scopus Subject Areas

Access to Document

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Cite this