Author: Robin Lumsden
Publisher: Allan
ISBN: 9780711017238
Category : Antiques & Collectibles
Languages : en
Pages : 192
Book Description
A Collector's Guide to Third Reich Militaria
Author: Robin Lumsden
Publisher: Allan
ISBN: 9780711017238
Category : Antiques & Collectibles
Languages : en
Pages : 192
Book Description
Publisher: Allan
ISBN: 9780711017238
Category : Antiques & Collectibles
Languages : en
Pages : 192
Book Description
Detecting the Fakes
Author: Robin Lumsden
Publisher: Hippocrene Books
ISBN: 9780870528293
Category : Antiques & Collectibles
Languages : en
Pages :
Book Description
Heavy demand has created an international market in fake Third Reich uniforms, equipment and decorations. In this unique volume, over 200 photographs display several hundred fakes side-by-side with the authentic originals. Both are described in meticulous detail, making for two reference books in one. The author has drawn upon Scotland Yard forensic techniques to wage a 20-year battle against counterfeiters of Third Reich memorabilia, some of them exhibiting almost unbelievable ingenuity. Not readily available in the United States for a number of years, this is a solid work for the serious military collector and enthusiast that has also proven to be very popular with general readers.
Publisher: Hippocrene Books
ISBN: 9780870528293
Category : Antiques & Collectibles
Languages : en
Pages :
Book Description
Heavy demand has created an international market in fake Third Reich uniforms, equipment and decorations. In this unique volume, over 200 photographs display several hundred fakes side-by-side with the authentic originals. Both are described in meticulous detail, making for two reference books in one. The author has drawn upon Scotland Yard forensic techniques to wage a 20-year battle against counterfeiters of Third Reich memorabilia, some of them exhibiting almost unbelievable ingenuity. Not readily available in the United States for a number of years, this is a solid work for the serious military collector and enthusiast that has also proven to be very popular with general readers.
Detecting Fake News on Social Media
Author: Kai Shu
Publisher: Morgan & Claypool Publishers
ISBN: 1681735830
Category : Computers
Languages : en
Pages : 131
Book Description
This book is an accessible introduction to the study of detecting fake news on social media. The concepts, algorithms, and methods described in this book can help harness the power of social media to build effective and intelligent fake news detection systems. In the past decade, social media is becoming increasingly popular for news consumption due to its easy access, fast dissemination, and low cost. However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research that is attracting tremendous attention. From a data mining perspective, this book introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates advanced settings of fake news detection on social media. In particular, the authors discuss the value of news content and social context, as well as important extensions to handle early detection, weakly-supervised detection, and explainable detection. This is essential reading for students, researchers, and practitioners to understand, manage, and excel in this area. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, datasets, tools used in this book, and the source code of representative algorithms.
Publisher: Morgan & Claypool Publishers
ISBN: 1681735830
Category : Computers
Languages : en
Pages : 131
Book Description
This book is an accessible introduction to the study of detecting fake news on social media. The concepts, algorithms, and methods described in this book can help harness the power of social media to build effective and intelligent fake news detection systems. In the past decade, social media is becoming increasingly popular for news consumption due to its easy access, fast dissemination, and low cost. However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research that is attracting tremendous attention. From a data mining perspective, this book introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates advanced settings of fake news detection on social media. In particular, the authors discuss the value of news content and social context, as well as important extensions to handle early detection, weakly-supervised detection, and explainable detection. This is essential reading for students, researchers, and practitioners to understand, manage, and excel in this area. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, datasets, tools used in this book, and the source code of representative algorithms.
Legend
Author: David Gemmell
Publisher: Hachette UK
ISBN: 1405511982
Category : Fiction
Languages : en
Pages : 273
Book Description
'THE HARD-BITTEN CHAMPION OF BRITISH HEROIC FANTASY' - Joe Abercrombie 'HEROISM AND HEARTBREAK . . . GEMMELL IS ADRENALINE WITH SOUL' - Brent Weeks Legend is the classic Drenai novel from the British master of heroic fantasy, a powerful tale of courage and sacrifice in the face of overwhelming odds. His name is Druss The stories of his life are told everywhere. But the grizzled Drenai veteran has spurned a life of fame and fortune and retreated to the solitude of his mountain lair. The fortress is Dros Delnoch And it is the only route through the mountains for the invading army of the Nadir. The fortress was once the Drenai's greatest stronghold - now it will be their final battleground. And Druss their last hope. Novels by David Gemmell The Drenai series Legend The King Beyond the Gate Waylander Quest For Lost Heroes Waylander II: In the Realm of the Wolf The First Chronicles of Druss the Legend Jon Shannow series Wolf in Shadow The Last Guardian Bloodstone Stones of Power Ghost King Last Sword of Power Hawk Queen series Ironhand's Daughter The Hawk Eternal Ancient Greece novels Lion of Macedon Dark Prince Other novels Knights of Dark Renown Morningstar
Publisher: Hachette UK
ISBN: 1405511982
Category : Fiction
Languages : en
Pages : 273
Book Description
'THE HARD-BITTEN CHAMPION OF BRITISH HEROIC FANTASY' - Joe Abercrombie 'HEROISM AND HEARTBREAK . . . GEMMELL IS ADRENALINE WITH SOUL' - Brent Weeks Legend is the classic Drenai novel from the British master of heroic fantasy, a powerful tale of courage and sacrifice in the face of overwhelming odds. His name is Druss The stories of his life are told everywhere. But the grizzled Drenai veteran has spurned a life of fame and fortune and retreated to the solitude of his mountain lair. The fortress is Dros Delnoch And it is the only route through the mountains for the invading army of the Nadir. The fortress was once the Drenai's greatest stronghold - now it will be their final battleground. And Druss their last hope. Novels by David Gemmell The Drenai series Legend The King Beyond the Gate Waylander Quest For Lost Heroes Waylander II: In the Realm of the Wolf The First Chronicles of Druss the Legend Jon Shannow series Wolf in Shadow The Last Guardian Bloodstone Stones of Power Ghost King Last Sword of Power Hawk Queen series Ironhand's Daughter The Hawk Eternal Ancient Greece novels Lion of Macedon Dark Prince Other novels Knights of Dark Renown Morningstar
Misinformation and Disinformation
Author: Victoria L. Rubin
Publisher: Springer Nature
ISBN: 3030956563
Category : Technology & Engineering
Languages : en
Pages : 305
Book Description
This book, geared towards both students and professionals, examines the synthesis of artificial intelligence (AI) and psychology in detecting mis-/disinformation in digital media content, and suggests practical means to intervene and curtail this current global ‘infodemic’. This interdisciplinary book explores technological, psychological, philosophical, and linguistic insights into the nature of truth and deception, trust and credibility, cognitive biases and logical fallacies and how, through AI and human intervention, content users can be alerted to the presence of deception. The author investigates how AI can mimic the procedures and know-hows of humans, showing how AI can help spot fakes and how AI tools can work to debunk rumors and fact-check. The book describes how AI detection systems work and how they fit with broader societal and individual concerns. Each chapter focuses attention on key concepts and their inter-connection. The first part of the book seeks theoretical footing to understand our interactions with new information and reviews relevant empirical findings in behavioral sciences. The second part is about applied knowledge. The author looks at several known practices that guard us against deception, and provides several real-world examples of manipulative persuasive techniques in advertising, political propaganda, and public relations. She provides links to the downloadable executable files to three AI applications (clickbait, satire, and falsehood detectors) via LiT.RL GitHub, an open access repository. The book is useful to students and professionals studying AI and media studies as well as library and information professionals. Examines how artificial intelligence (AI) and psychology can aid in detecting mis-/disinformation and the language of deceit in digital media content; Suggests practical computational means to intervene and curtail the global ‘infodemic’ of fake news; Presents how AI can sift, sort, and shuffle digital content, to reduce the amount of content needed to be reviewed by humans.
Publisher: Springer Nature
ISBN: 3030956563
Category : Technology & Engineering
Languages : en
Pages : 305
Book Description
This book, geared towards both students and professionals, examines the synthesis of artificial intelligence (AI) and psychology in detecting mis-/disinformation in digital media content, and suggests practical means to intervene and curtail this current global ‘infodemic’. This interdisciplinary book explores technological, psychological, philosophical, and linguistic insights into the nature of truth and deception, trust and credibility, cognitive biases and logical fallacies and how, through AI and human intervention, content users can be alerted to the presence of deception. The author investigates how AI can mimic the procedures and know-hows of humans, showing how AI can help spot fakes and how AI tools can work to debunk rumors and fact-check. The book describes how AI detection systems work and how they fit with broader societal and individual concerns. Each chapter focuses attention on key concepts and their inter-connection. The first part of the book seeks theoretical footing to understand our interactions with new information and reviews relevant empirical findings in behavioral sciences. The second part is about applied knowledge. The author looks at several known practices that guard us against deception, and provides several real-world examples of manipulative persuasive techniques in advertising, political propaganda, and public relations. She provides links to the downloadable executable files to three AI applications (clickbait, satire, and falsehood detectors) via LiT.RL GitHub, an open access repository. The book is useful to students and professionals studying AI and media studies as well as library and information professionals. Examines how artificial intelligence (AI) and psychology can aid in detecting mis-/disinformation and the language of deceit in digital media content; Suggests practical computational means to intervene and curtail the global ‘infodemic’ of fake news; Presents how AI can sift, sort, and shuffle digital content, to reduce the amount of content needed to be reviewed by humans.
Deepfake
Author: Sarah Darer Littman
Publisher: Scholastic Inc.
ISBN: 1338178253
Category : Young Adult Fiction
Languages : en
Pages : 294
Book Description
What happens when anyone can make a video of you saying anything? Dara Simons and Will Halpern have everything they've ever wanted. They are the rulers of Greenpoint High's geekdom, overachieving in every way, and it's an intense competition to see who will be valedictorian. One the entire school is invested in. That is, until Rumor Has It, the anonymous gossip site, posts a video of Dara accusing Will of paying someone to take the SAT for him.When the video goes viral, suddenly Will's being investigated, and everyone's wondering how he pulled off cheating on the SAT. But Dara swears that she didn't say any of those things, which seems a little hard to believe since it's her in the video.Did Will cheat?Is it Dara saying he did?Who's lying, and who's telling the truth?The answer is more shocking than anyone realizes...
Publisher: Scholastic Inc.
ISBN: 1338178253
Category : Young Adult Fiction
Languages : en
Pages : 294
Book Description
What happens when anyone can make a video of you saying anything? Dara Simons and Will Halpern have everything they've ever wanted. They are the rulers of Greenpoint High's geekdom, overachieving in every way, and it's an intense competition to see who will be valedictorian. One the entire school is invested in. That is, until Rumor Has It, the anonymous gossip site, posts a video of Dara accusing Will of paying someone to take the SAT for him.When the video goes viral, suddenly Will's being investigated, and everyone's wondering how he pulled off cheating on the SAT. But Dara swears that she didn't say any of those things, which seems a little hard to believe since it's her in the video.Did Will cheat?Is it Dara saying he did?Who's lying, and who's telling the truth?The answer is more shocking than anyone realizes...
Detecting Fake News on Social Media
Author: Kai Shu
Publisher: Springer Nature
ISBN: 3031019156
Category : Computers
Languages : en
Pages : 121
Book Description
In the past decade, social media has become increasingly popular for news consumption due to its easy access, fast dissemination, and low cost. However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research area that is attracting tremendous attention. This book, from a data mining perspective, introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates challenging issues of fake news detection on social media. In particular, we discussed the value of news content and social context, and important extensions to handle early detection, weakly-supervised detection, and explainable detection. The concepts, algorithms, and methods described in this lecture can help harness the power of social media to build effective and intelligent fake news detection systems. This book is an accessible introduction to the study of detecting fake news on social media. It is an essential reading for students, researchers, and practitioners to understand, manage, and excel in this area. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, datasets, tools used in this book, and the source code of representative algorithms. The readers are encouraged to visit the book website for the latest information: http://dmml.asu.edu/dfn/
Publisher: Springer Nature
ISBN: 3031019156
Category : Computers
Languages : en
Pages : 121
Book Description
In the past decade, social media has become increasingly popular for news consumption due to its easy access, fast dissemination, and low cost. However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research area that is attracting tremendous attention. This book, from a data mining perspective, introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates challenging issues of fake news detection on social media. In particular, we discussed the value of news content and social context, and important extensions to handle early detection, weakly-supervised detection, and explainable detection. The concepts, algorithms, and methods described in this lecture can help harness the power of social media to build effective and intelligent fake news detection systems. This book is an accessible introduction to the study of detecting fake news on social media. It is an essential reading for students, researchers, and practitioners to understand, manage, and excel in this area. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, datasets, tools used in this book, and the source code of representative algorithms. The readers are encouraged to visit the book website for the latest information: http://dmml.asu.edu/dfn/
Fake Photos
Author: Hany Farid
Publisher: MIT Press
ISBN: 0262537494
Category : Computers
Languages : en
Pages : 250
Book Description
A concise and accessible guide to techniques for detecting doctored and fake images in photographs and digital media. Stalin, Mao, Hitler, Mussolini, and other dictators routinely doctored photographs so that the images aligned with their messages. They erased people who were there, added people who were not, and manipulated backgrounds. They knew if they changed the visual record, they could change history. Once, altering images required hours in the darkroom; today, it can be done with a keyboard and mouse. Because photographs are so easily faked, fake photos are everywhere—supermarket tabloids, fashion magazines, political ads, and social media. How can we tell if an image is real or false? In this volume in the MIT Press Essential Knowledge series, Hany Farid offers a concise and accessible guide to techniques for detecting doctored and fake images in photographs and digital media. Farid, an expert in photo forensics, has spent two decades developing techniques for authenticating digital images. These techniques model the entire image-creation process in order to find the digital disruption introduced by manipulation of the image. Each section of the book describes a different technique for analyzing an image, beginning with those requiring minimal technical expertise and advancing to those at intermediate and higher levels. There are techniques for, among other things, reverse image searches, metadata analysis, finding image imperfections introduced by JPEG compression, image cloning, tracing pixel patterns, and detecting images that are computer generated. In each section, Farid describes the techniques, explains when they should be applied, and offers examples of image analysis.
Publisher: MIT Press
ISBN: 0262537494
Category : Computers
Languages : en
Pages : 250
Book Description
A concise and accessible guide to techniques for detecting doctored and fake images in photographs and digital media. Stalin, Mao, Hitler, Mussolini, and other dictators routinely doctored photographs so that the images aligned with their messages. They erased people who were there, added people who were not, and manipulated backgrounds. They knew if they changed the visual record, they could change history. Once, altering images required hours in the darkroom; today, it can be done with a keyboard and mouse. Because photographs are so easily faked, fake photos are everywhere—supermarket tabloids, fashion magazines, political ads, and social media. How can we tell if an image is real or false? In this volume in the MIT Press Essential Knowledge series, Hany Farid offers a concise and accessible guide to techniques for detecting doctored and fake images in photographs and digital media. Farid, an expert in photo forensics, has spent two decades developing techniques for authenticating digital images. These techniques model the entire image-creation process in order to find the digital disruption introduced by manipulation of the image. Each section of the book describes a different technique for analyzing an image, beginning with those requiring minimal technical expertise and advancing to those at intermediate and higher levels. There are techniques for, among other things, reverse image searches, metadata analysis, finding image imperfections introduced by JPEG compression, image cloning, tracing pixel patterns, and detecting images that are computer generated. In each section, Farid describes the techniques, explains when they should be applied, and offers examples of image analysis.
Detecting Forgery
Author: Joe Nickell
Publisher: University Press of Kentucky
ISBN: 0813182719
Category : Law
Languages : en
Pages : 354
Book Description
Detecting Forgery reveals the complete arsenal of forensic techniques used to detect forged handwriting and alterations in documents and to identify the authorship of disputed writings. Joe Nickell looks at famous cases such as Clifford Irving's "autobiography" of Howard Hughes and the Mormon papers of document dealer Mark Hoffman, as well as cases involving works of art. Detecting Forgery is a fascinating introduction to the growing field of forensic document examination and forgery detection.
Publisher: University Press of Kentucky
ISBN: 0813182719
Category : Law
Languages : en
Pages : 354
Book Description
Detecting Forgery reveals the complete arsenal of forensic techniques used to detect forged handwriting and alterations in documents and to identify the authorship of disputed writings. Joe Nickell looks at famous cases such as Clifford Irving's "autobiography" of Howard Hughes and the Mormon papers of document dealer Mark Hoffman, as well as cases involving works of art. Detecting Forgery is a fascinating introduction to the growing field of forensic document examination and forgery detection.
Handbook of Digital Face Manipulation and Detection
Author: Christian Rathgeb
Publisher: Springer Nature
ISBN: 3030876640
Category : Computers
Languages : en
Pages : 487
Book Description
This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the topic, which address readers wishing to gain a brief overview of the state-of-the-art. Subsequent chapters, which delve deeper into various research challenges, are oriented towards advanced readers. Moreover, the book provides a good starting point for young researchers as well as a reference guide pointing at further literature. Hence, the primary readership is academic institutions and industry currently involved in digital face manipulation and detection. The book could easily be used as a recommended text for courses in image processing, machine learning, media forensics, biometrics, and the general security area.
Publisher: Springer Nature
ISBN: 3030876640
Category : Computers
Languages : en
Pages : 487
Book Description
This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the topic, which address readers wishing to gain a brief overview of the state-of-the-art. Subsequent chapters, which delve deeper into various research challenges, are oriented towards advanced readers. Moreover, the book provides a good starting point for young researchers as well as a reference guide pointing at further literature. Hence, the primary readership is academic institutions and industry currently involved in digital face manipulation and detection. The book could easily be used as a recommended text for courses in image processing, machine learning, media forensics, biometrics, and the general security area.