Artificial Intelligence in Digital Media: The Era of Deepfakes

@article{Karnouskos2020ArtificialII,
  title={Artificial Intelligence in Digital Media: The Era of Deepfakes},
  author={Stamatis Karnouskos},
  journal={IEEE Transactions on Technology and Society},
  year={2020},
  volume={1},
  pages={138-147}
}
  • S. Karnouskos
  • Published 24 June 2020
  • Computer Science
  • IEEE Transactions on Technology and Society
The recent practical advances realized by artificial intelligence, have also given rise to the phenomenon of deepfakes, which can be considered as a form of fake news. Deepfakes is the phenomenon of creation of realistic digital products, and a plethora of videos has emerged over the last two years in social media. Especially, the low technical expertise and equipment required to create deepfakes, means that such content can be easily produced by anyone and distributed online. The societal… 

Artificial Intelligence in Deepfake Technologies Based on Supply Chain Strategy

TLDR
This paper analyses a variety of widely accessible internet news stories, in order to explore the depths, and who creates them, how deep technological advantages and risks are, which example of deepfake occur and how the depths are to be gauged.

Preparing for an Era of Deepfakes and AI-Generated Ads: A Framework for Understanding Responses to Manipulated Advertising

TLDR
The production and distribution of advertising material has relied on human effort and analog tools, but technological innovations have given the advertising industry digital an advantage.

Study on the Innovative Development of Digital Media Art in the Context of Artificial Intelligence

  • Chao Chen
  • Art
    Computational intelligence and neuroscience
  • 2022
With the rapid development of modern science and technology, the speed of digital media to disseminate information is also accelerating, and the forms of communication become more and more

Are Deepfakes Concerning? Analyzing Conversations of Deepfakes on Reddit and Exploring Societal Implications

TLDR
It is proposed that there are implications for Human Computer Interaction (HCI) to mitigate the harm created from deepfakes and build a community that supports creating and sharing deepfake artifacts and building a marketplace regardless of the consequences.

Image and Video Generation Using Artificial Intelligence and its Detection

TLDR
Among the various types of synthetic contents, the most concerning types are deepfakes and general adversarial networks (GANs) which can have critical ramifications for network protection, duplicating, counterfeit news, and border security,fake alligations etc.

Topic Modeling and Progression of American Digital News Media During the Onset of the COVID-19 Pandemic

TLDR
A natural language processing (NLP) pipeline is developed that is capable of automatically distilling various digital articles into manageable pieces of information, while also modeling the progression topics discussed over time in order to aid readers in rapidly gaining holistic perspectives on pressing issues.

Symbiosis with artificial intelligence via the prism of law, robots, and society

The rapid advances in Artificial Intelligence and Robotics will have a profound impact on society as they will interfere with the people and their interactions. Intelligent autonomous robots,

Enriching Facial Anti-Spoofing Datasets via an Effective Face Swapping Framework

TLDR
An effective face swapping framework based on StyleGAN is proposed that can effectively complete face swapping and provide high-quality data for deep forgery detection to ensure the security of multimedia systems.

DeepFakes Detection in Videos using Feature Engineering Techniques in Deep Learning Convolution Neural Network Frameworks

TLDR
The intermediate results of the on-going study of DeepFakes detection in videos are discussed and Discrete Wavelet Transform, abbreviated as DWT, is used, and anticipate improvement of detection accuracy when used on complex and poor-quality images of FaceForensics++.

”It Matches My Worldview”: Examining Perceptions and Attitudes Around Fake Videos

TLDR
It is found that most users are unaware of digitally manipulated fake videos and perceive videos to be fake only when they present inaccurate information, and few users who know about doctored videos expect them to be of poor quality and know nothing about sophisticated deepfakes.

References

SHOWING 1-10 OF 101 REFERENCES

Deepfakes, Artificial Intelligence, and Some Kind of Dystopia: The New Faces of Online Post-Fact Performance

TLDR
This provocation summarizes recent advances in machine learning and artificial intelligence as they relate to the emergence of “deepfakes” and lays out some of the more troubling paradigm shifts that deepfakes represent in terms of both AI development and post-digital media circulation.

Deepfakes: Trick or treat?

Combating Deepfake Videos Using Blockchain and Smart Contracts

TLDR
This paper provides a solution and a general framework using Ethereum smart contracts to trace and track the provenance and history of digital content to its original source even if the digital content is copied multiple times.

The Malicious Use of AI-Based Deepfake Technology as the New Threat to Psychological Security and Political Stability

TLDR
This chapter analyses a wide range of examples of deepfakes in the modern world, as well as the Internet-services that generate them, and considers the possibility of using artificial intelligence to prevent their spread, as they constitute a serious threat to psychological security.

Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security

TLDR
The aim is to provide the first in-depth assessment of the causes and consequences of this disruptive technological change, and to explore the existing and potential tools for responding to it.

Deepfake Videos and DDoS Attacks (Deliberate Denial of Satire) [Editorial]

  • J. Pitt
  • History
    IEEE Technol. Soc. Mag.
  • 2019
5 D E C E M B E R 2 0 1 9 ∕ IEEE TECHNOLOGY AND SOCIETY MAGAZINE uring the Second World War, in 1943, the Japanese authorities in China interned a couple of thousand “enemy nationals” from “hostile

Combating Fake News

TLDR
This survey describes the modern-day problem of fake news and, in particular, highlights the technical challenges associated with it and comprehensively compile and summarize characteristic features of available datasets.

Is Seeing Still Believing: Factors That Allow Humans and Machines to Discriminate Between Real and Generated Images

  • M. Gates
  • Computer Science
    SMPTE Motion Imaging Journal
  • 2018
TLDR
An analysis of the artefacts seen in the video that gave rise to the truthfulness debate is presented and possible temporal assessment factors for human discrimination (motion parameters), for computer vision (optical flow), and for artificial intelligence (semantic scene analysis) are presented.

I, Robot. You, Journalist. Who is the Author?

The broadening reliance on algorithms to generate news automatically, referred to as “automated journalism” or “robot journalism”, has significant practical, sociopolitical, psychological, legal and
...