Cited by 8Digital Media Forensic DetectionMisinformation and Its ImpactsGenerative Adversarial Networks and Image Synthesis

The DOI matches its Crossref record.

Deepfake Deception: What to Trust When Seeing Is No Longer Believing

Giansiracusa, Noah·2021·How Algorithms Create and Prevent Fake News

Abstract

The deep learning generative adversarial networks (GANs) discussed in the previous chapter for creating synthetic photos have also been applied to video synthesis and editing. Clips can now be created of people doing and saying things they never did or said in real life. This is leading to a double-pronged challenge in society’s attempts at discerning the truth: fake videos are spreading across the internet causing people to believe in events that never took place, and simultaneously real videos have been falsely claimed as deepfakes causing people to doubt reality itself. In this chapter, you will see how deepfake videos have impacted politics and journalism, how the discord they sow relates to that of previous generations of image and video manipulation, and what legal and technological attempts are being made to rein them in.

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Crossref · 10.1007/978-1-4842-7155-1_3

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Metadata

Authors
Giansiracusa, N.
Corresponding author
Giansiracusa, Noah
Venue
How Algorithms Create and Prevent Fake News
Publisher
Apress
Published
2021
Pages
41-66
OpenAlex
W3178376411
Cited by
8
References
0
Citations by year
2026: 1 · 2025: 2 · 2024: 2 · 2023: 1 · 2022: 2
FWCI
1.81
Type
book chapter
Language
en
Open access
closed
Locations
Apress eBooks (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Generative Adversarial Networks and Image Synthesis
Keywords
deepfakes, deepfake videos, generative adversarial networks, video generation, video editing, misinformation, fake news, political manipulation, journalism, video manipulation, deepfake detection, deepfake regulation, synthetic media

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CoChat. (2026). Citation check: Deepfake Deception: What to Trust When Seeing Is No Longer Believing. https://app.cochat.ai/papers/10.1007/978-1-4842-7155-1_3
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Giansiracusa, N. (2021). Deepfake Deception: What to Trust When Seeing Is No Longer Believing. How Algorithms Create and Prevent Fake News. https://doi.org/10.1007/978-1-4842-7155-1_3