Deep Fakes A Critical Lexicon for Digital Museology
Category: eBooks
- views: 85
- date: 16 February 2026
- posted by: BeMyLove
Deep Fakes A Critical Lexicon for Digital Museology | 91.47 MB
Title: DEEP FAKES: A Critical Lexicon for Digital Museology
Author: Sarah Kenderdine and Lily Hibberd
Category: Nonfiction, Computers, General Computing, Social & Cultural Studies, Social Science, Sociology, Religion & Spirituality, Philosophy
Language: English | 286 Pages | ISBN: 1032369159
Description:
Deep Fakes: Algorithms and Society focuses on the use of artificial intelligence technologies to produce fictitious photorealistic audiovisual clips that are indistinguishable from traditional video media.
For over a century, the indexical relationship of the photographic image, and its related media of film and video, to the scene of capture has served as a basis for truth claims. Historically, the iconicity of these images has featured a causal traceback to actual light rays in a particular time and space, which were fixed by chemical reactions or digital sensors to the resultant image. Today, photorealistic audiovisual media can be generated from deep learning networks that sever any connection to an actual event. Should society instantiate new regimes to manage this new challenge to our sense of reality and the traditional evidential capacities of the 'mechanical image'? How do these images generate information disorder while also providing the basis for legitimate tools used in entertainment and creative industries?
Scholars and students from many backgrounds, as well as policymakers, journalists and the general reading public, will find a multidisciplinary approach to questions posed by deep fake research from Communication, International Studies, Writing and Rhetoric.
DOWNLOAD:
https://rapidgator.net/file/46aec5d352757a77131b47d9b7217c23/Deep_Fakes_A_Critical_Lexicon_for_Digital_Museology.pdf
https://nitroflare.com/view/9C9193A894A873B/Deep_Fakes_A_Critical_Lexicon_for_Digital_Museology.pdf
Deep Fakes: Algorithms and Society focuses on the use of artificial intelligence technologies to produce fictitious photorealistic audiovisual clips that are indistinguishable from traditional video media.
For over a century, the indexical relationship of the photographic image, and its related media of film and video, to the scene of capture has served as a basis for truth claims. Historically, the iconicity of these images has featured a causal traceback to actual light rays in a particular time and space, which were fixed by chemical reactions or digital sensors to the resultant image. Today, photorealistic audiovisual media can be generated from deep learning networks that sever any connection to an actual event. Should society instantiate new regimes to manage this new challenge to our sense of reality and the traditional evidential capacities of the 'mechanical image'? How do these images generate information disorder while also providing the basis for legitimate tools used in entertainment and creative industries?
Scholars and students from many backgrounds, as well as policymakers, journalists and the general reading public, will find a multidisciplinary approach to questions posed by deep fake research from Communication, International Studies, Writing and Rhetoric.
DOWNLOAD:
https://rapidgator.net/file/46aec5d352757a77131b47d9b7217c23/Deep_Fakes_A_Critical_Lexicon_for_Digital_Museology.pdf
https://nitroflare.com/view/9C9193A894A873B/Deep_Fakes_A_Critical_Lexicon_for_Digital_Museology.pdf
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||