國立高雄大學圖資館 |

登入

回首頁

Misinformation and disinformationdetecting fakes with the eye and AI /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Misinformation and disinformationby Victoria L. Rubin.
其他題名:	detecting fakes with the eye and AI /
作者:	Rubin, Victoria L.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xx, 289 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	DisinformationData processing.
電子資源:	https://doi.org/10.1007/978-3-030-95656-1
ISBN:	9783030956561$q(electronic bk.)

Misinformation and disinformationdetecting fakes with the eye and AI /
Rubin, Victoria L.

Misinformation and disinformationdetecting fakes with the eye and AI /[electronic resource] :by Victoria L. Rubin. - Cham :Springer International Publishing :2022. - xx, 289 p. :ill., digital ;24 cm.

Introduction -- Infodemic in the Digital Media Content -- Part I. Human Nature of Deception and Perceptions of Truth -- Psychology of Mis-/Disinformation and Language of Deceit -- Library and Information Science on Credibility and Trust in Computing -- Philosophies of Truth -- Part II. Applied Practices and Artificial Intelligence (AI) -- Investigation in Law Enforcement, Journalism, and Sciences -- Manipulation in Marketing, Advertising, and Public Relations -- Artificially Intelligent Solutions: Detection, Debunking, Fact-Checking -- Lessons for Infodemic Control and Future of Digital Content Verification -- Conclusion.

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.

ISBN: 9783030956561$q(electronic bk.)

Standard No.: 10.1007/978-3-030-95656-1doiSubjects--Topical Terms:

929548
Disinformation
--Data processing.

LC Class. No.: HM1231

Dewey Class. No.: 303.375

Misinformation and disinformationdetecting fakes with the eye and AI /
LDR:03736nmm a2200337 a 4500 001 625919
003 DE-He213
005 20220614120123.0
006 m d
007 cr nn 008maaau
008 230109s2022 sz s 0 eng d
020 $a 9783030956561$q(electronic bk.)
020 $a 9783030956554$q(paper)
024 7 $a 10.1007/978-3-030-95656-1 $2 doi
035 $a 978-3-030-95656-1
040 $a GP $c GP
041 0 $a eng
050 4 $a HM1231
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 303.375 $2 23
090 $a HM1231 $b .R896 2022
100 1 $a Rubin, Victoria L. $3 929547
245 1 0 $a Misinformation and disinformation $h [electronic resource] : $b detecting fakes with the eye and AI / $c by Victoria L. Rubin.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xx, 289 p. : $b ill., digital ; $c 24 cm.
338 $a online resource $b cr $2 rdacarrier
505 0 $a Introduction -- Infodemic in the Digital Media Content -- Part I. Human Nature of Deception and Perceptions of Truth -- Psychology of Mis-/Disinformation and Language of Deceit -- Library and Information Science on Credibility and Trust in Computing -- Philosophies of Truth -- Part II. Applied Practices and Artificial Intelligence (AI) -- Investigation in Law Enforcement, Journalism, and Sciences -- Manipulation in Marketing, Advertising, and Public Relations -- Artificially Intelligent Solutions: Detection, Debunking, Fact-Checking -- Lessons for Infodemic Control and Future of Digital Content Verification -- Conclusion.
520 $a 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.
650 0 $a Disinformation $x Data processing. $3 929548
650 0 $a Artificial intelligence. $3 194058
650 0 $a Communication and technology. $3 248480
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Media Policy and Politics. $3 922554
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
650 2 4 $a Social Media. $3 742054
650 2 4 $a Natural Language Processing (NLP) $3 826373
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-95656-1
950 $a Literature, Cultural and Media Studies (SpringerNature-41173)