{"id":1483,"date":"2023-02-19T19:56:38","date_gmt":"2023-02-20T00:56:38","guid":{"rendered":"https:\/\/photo-news.com\/?p=1483"},"modified":"2024-12-02T13:23:05","modified_gmt":"2024-12-02T18:23:05","slug":"can-you-tell-a-real-from-an-artificial-face","status":"publish","type":"post","link":"https:\/\/photo-news.com\/?p=1483","title":{"rendered":"Can You Tell a Real from an Artificial Face?"},"content":{"rendered":"<p>Generative adversarial networks (GANs) are increasingly used in marketing,<br \/>\njournalism, social media, and political propaganda. A study published in iScience investigated if and how participants can distinguish between GAN and REAL faces and the social consequences of their exposure to artificial faces. GAN faces were more likely to be perceived as real than REAL faces. The findings point to potentially far-reaching consequences for the pervasive use of GAN faces in a culture powered by images at unprecedented levels.<\/p>\n<p><a href=\"https:\/\/photo-news.com\/wp-content\/uploads\/2023\/02\/On-the-realness-of-people-who-do-not-exist-The-social-processing-of-artificial-faces-ScienceDirect.pdf\">On the realness of people who do not exist The social processing of artificial faces &#8211; ScienceDirect<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Generative adversarial networks (GANs) are increasingly used in marketing, journalism, social media, and political propaganda. A study published in iScience investigated if and how participants can distinguish between GAN and REAL faces and the social consequences of their exposure to artificial faces. GAN faces were more likely to be perceived as real than REAL faces. [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[1],"tags":[797,798,795,787,793,786,785,784,789,794,788,792,796,791,790],"class_list":["post-1483","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-computer-generated-faces","tag-deep-fake-technology","tag-digital-faces","tag-face-perception","tag-faces","tag-gans","tag-generative-adversarial-networks","tag-iscience","tag-realness","tag-salient-social-stimuli","tag-social-trust","tag-social-world","tag-surprisingly-realistic","tag-trustworthiness","tag-truthfulness"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Can You Tell a Real from an Artificial Face? - Photo Imaging News<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/photo-news.com\/?p=1483\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Can You Tell a Real from an Artificial Face? - Photo Imaging News\" \/>\n<meta property=\"og:description\" content=\"Generative adversarial networks (GANs) are increasingly used in marketing, journalism, social media, and political propaganda. A study published in iScience investigated if and how participants can distinguish between GAN and REAL faces and the social consequences of their exposure to artificial faces. GAN faces were more likely to be perceived as real than REAL faces. [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/photo-news.com\/?p=1483\" \/>\n<meta property=\"og:site_name\" content=\"Photo Imaging News\" \/>\n<meta property=\"article:author\" content=\"Photo Imaging News (Facebook Pages)\" \/>\n<meta property=\"article:published_time\" content=\"2023-02-20T00:56:38+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-12-02T18:23:05+00:00\" \/>\n<meta name=\"author\" content=\"Don Franz\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@PhotoImagingNew\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Don Franz\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/photo-news.com\\\/?p=1483#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/photo-news.com\\\/?p=1483\"},\"author\":{\"name\":\"Don Franz\",\"@id\":\"https:\\\/\\\/photo-news.com\\\/#\\\/schema\\\/person\\\/f284387da27f665b6f4d689c4bd5412e\"},\"headline\":\"Can You Tell a Real from an Artificial Face?\",\"datePublished\":\"2023-02-20T00:56:38+00:00\",\"dateModified\":\"2024-12-02T18:23:05+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/photo-news.com\\\/?p=1483\"},\"wordCount\":104,\"keywords\":[\"computer-generated faces\",\"deep fake technology\",\"digital faces\",\"face perception\",\"Faces\",\"GANs\",\"generative adversarial networks\",\"iScience\",\"realness\",\"salient social stimuli\",\"social trust\",\"social world\",\"surprisingly realistic\",\"trustworthiness\",\"truthfulness\"],\"articleSection\":[\"News\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/photo-news.com\\\/?p=1483\",\"url\":\"https:\\\/\\\/photo-news.com\\\/?p=1483\",\"name\":\"Can You Tell a Real from an Artificial Face? - Photo Imaging News\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/photo-news.com\\\/#website\"},\"datePublished\":\"2023-02-20T00:56:38+00:00\",\"dateModified\":\"2024-12-02T18:23:05+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/photo-news.com\\\/#\\\/schema\\\/person\\\/f284387da27f665b6f4d689c4bd5412e\"},\"breadcrumb\":{\"@id\":\"https:\\\/\\\/photo-news.com\\\/?p=1483#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/photo-news.com\\\/?p=1483\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/photo-news.com\\\/?p=1483#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/photo-news.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Can You Tell a Real from an Artificial Face?\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/photo-news.com\\\/#website\",\"url\":\"https:\\\/\\\/photo-news.com\\\/\",\"name\":\"Photo Imaging News\",\"description\":\"Imaging\\\/Printing\\\/Photofinishing\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/photo-news.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/photo-news.com\\\/#\\\/schema\\\/person\\\/f284387da27f665b6f4d689c4bd5412e\",\"name\":\"Don Franz\",\"sameAs\":[\"http:\\\/\\\/photo-news.com\",\"Photo Imaging News (Facebook Pages)\",\"Don Franz (LinkedIn)\",\"https:\\\/\\\/x.com\\\/PhotoImagingNew\"],\"url\":\"https:\\\/\\\/photo-news.com\\\/?author=3\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Can You Tell a Real from an Artificial Face? - Photo Imaging News","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/photo-news.com\/?p=1483","og_locale":"en_US","og_type":"article","og_title":"Can You Tell a Real from an Artificial Face? - Photo Imaging News","og_description":"Generative adversarial networks (GANs) are increasingly used in marketing, journalism, social media, and political propaganda. 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