Images, Fakery and Verification
Authors: Moeller, S. and Jukes, S.
Pages: 297-314
DOI: 10.1007/978-3-031-11976-7_20
Abstract:Images dominate today’s media landscape, facilitated by the digital technologies that provide both the tools to take and store them and distribution platforms. For mainstream news reporting, the unprecedented volume of user-generated images and video allows the global public to witness events otherwise inaccessible. But the technology to manipulate digital images-and generate fake ones-has far outpaced journalists’ abilities to detect the falsifications. This chapter looks at the types of fake images in circulation and outlines the methods being deployed to generate and tackle them, including artificial intelligence, machine learning, and deep neural networks. It also highlights how misinformation, disinformation and deepfakes have destabilised democracies, and challenges readers with the necessity of finding ways to counter these rising threats to society.
Source: Scopus
Images, fakery and verification
Authors: Moeller, S. and Jukes, S.
Editors: Fowler-Watt, K. and McDougall, J.
Publisher: Palgrave Macmillan
ISBN: 9783031119750
Abstract:Whereas words once dominated the media landscape, today images do. Technology is supplying the tools we use to take images and at the same time the platforms on which they appear. A photographer with a hand-held iPhone ‘takes’ a photo by pressing a spot on a flat sheet of glass toughened with embedded ceramic nanocrystals. That touch activates the image processing, depth/disparity estimation, optical flow, object tracking, image registration, alpha matting, Bayesian statistics, generative models and deep learning. A photo is no longer a product of chemistry, but of mathematics. The digital source of today’s images makes them virtual, we can carry an almost infinite number with us, wherever we go. But such shifts have serious implications for civic democracy. Our privacy is gone; our images of our own selves are in the cloud; we have lost much of our control over information. We don’t know — and we are actually really bad at determining — which images that we see are fake.
Source: Manual