The Digital Face and Deepfakes on Screen

Bode, Lisa; Lees, Dominic; Golding, Daniel

doi:10.1177/13548565211034044

Cited by 14 publications

(2 citation statements)

References 18 publications

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“…As William Yu has demonstrated in his video campaigns for greater possibilities for Asian American actors in prominent roles, activists can employ Deepface and Faceswap applications to reinvent representational and screen labor norms. He intends to make the financial viability of Asian celebrity faces more publicly visible and normative by "re-casting" films like Captain America and The Martian with John Cho, Steven Yuen, and Constance Wu (Bode, Lees & Golding 2021) Facial reenactment has many applications, such as changing a participant's facial expression and mouth movement in an online bilingual video conference, editing an actor's head and facial expressions in the film industry the post-production process systems, or creating realistic animation for movies and games, among others (Masood at all. 2023).…”

Section: Deepfakes In the Entertainment Industrymentioning

confidence: 99%

Aesthetics of Deepfake ‒ Sphere of Art and Entertainment Industry

Stojanović Prelević,

Zehra

2023

FU Vis Art Mus

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The usage of artificial intelligence is one of the main characteristics of contemporary society. Deepfake is one among other forms of AI that uses artificial intelligence called deep learning to make images of fake events. This technology is not just about videos it is about photos and audio, too. It could be applied in different areas such as education, health care, art, commercials, film, propaganda, etc. Authors are interested in deep fakes used in the art and entertainment industry and their effects on audiences and aesthetics. The paper aims to show some characteristics of the aesthetics of deepfake in the context of the contemporary art and entertainment industry. By focusing on the aesthetics of contemporary society, we try to make an aesthetics analysis of deepfakes (Case study 1‒ Wearing Gillian, Gillian Wearing, 2018, Case study 2 ‒ Dali Lives, The Salvador Dali Museum, 2019) to show that contemporary art is more intimate with audience, thanks to usage of AI; also engagement of people is bigger than in traditional art. The conclusion is that contemporary art remains in the entertainment industry. It looks popular and closer to an audience; also, these spheres have a common and main aesthetic value- entertainment.

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Section: Deepfakes In the Entertainment Industrymentioning

confidence: 99%

Aesthetics of Deepfake ‒ Sphere of Art and Entertainment Industry

Stojanović Prelević,

Zehra

2023

FU Vis Art Mus

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“…On the positive side, fake core technologies offer novel opportunities in various fields, such as entertainment, education, and advertising [1]. They enable realistic dubbing, animation, virtual experiences [2], content generation, and innovative branding techniques [3], [4]. The emergence of user-friendly deepfake tools (e.g., Deepfakes Web [5], DeepFaceLab [6], FaceApp [7], ChatGPT [8], DALL-E2 [9], and Midjourney [10]) powered by deep learning methods has made it easier for non-expert users to create synthetic content that is indistinguishable and innovative [11].…”

Section: Introductionmentioning

confidence: 99%

A Survey on the Detection and Impacts of Deepfakes in Visual, Audio, and Textual Formats

Mubarak,

Alsboui,

Alshaikh

et al. 2023

IEEE Access

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In the rapidly evolving digital landscape, the generation of fake visual, audio, and textual content poses a significant threat to society's trust, political stability, and integrity of information. The generation process has been enhanced and simplified using Artificial Intelligence techniques, which have been termed deepfake. Although significant attention has been paid to visual and audio deepfakes, there is also a burgeoning need to consider text-based deepfakes. Due to advancements in natural language processing and large language models, the potential of manipulating textual content to reshape online discourse and misinformation has increased. This study comprehensively examines the multifaceted nature and impacts of deep-fake-generated media. This work explains the broad implications of deepfakes in social, political, economic, and technological domains. State-of-the-art detection methodologies for all types of deepfake are critically reviewed, highlighting the need for unified, real-time, adaptable, and generalised solutions. As the challenges posed by deepfakes intensify, this study underscores the importance of a holistic approach that intertwines technical solutions with public awareness and legislative action. By providing a comprehensive overview and establishing a framework for future exploration, this study seeks to assist researchers, policymakers, and practitioners in navigating the complexities of deepfake phenomena.

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Introduction

Kalpokas

Kalpokienė

2022

Deepfakes

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The Digital Face and Deepfakes on Screen

Cited by 14 publications

References 18 publications

Aesthetics of Deepfake ‒ Sphere of Art and Entertainment Industry

Aesthetics of Deepfake ‒ Sphere of Art and Entertainment Industry

A Survey on the Detection and Impacts of Deepfakes in Visual, Audio, and Textual Formats

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