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020 _a9783031525698
_9978-3-031-52569-8
024 7 _a10.1007/978-3-031-52569-8
_2doi
050 4 _aP87-96
072 7 _aJFD
_2bicssc
072 7 _aSOC052000
_2bisacsh
072 7 _aJBCT1
_2thema
100 1 _aShin, Donghee.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_974051
245 1 0 _aArtificial Misinformation
_h[electronic resource] :
_bExploring Human-Algorithm Interaction Online /
_cby Donghee Shin.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Palgrave Macmillan,
_c2024.
300 _aXIV, 286 p. 21 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPart I: The Cognitive Science of Misinformation: Why We Are Vulnerable and How Misinformation Beliefs Are Formed/Maintained -- 1 Introduction: The Diffusion of Misinformation -- 2 Misinformation and Bias -- 3 Misinformation and Radicalization -- Part II: How People View and Process Misinformation: How People Respond to Corrections of Misinformation -- 4 Misinformation, Paradox, and Heuristics -- 5 Misinformation Processing Model -- Part III: How to Combat Misinformation Online Amid Growing Concerns and Build Trust -- 6 Misinformation and Diversity -- 7 Misinformation and Nudge -- Part IV: What Are the Implications of AI for Misinformation? The Challenges and Opportunities When Misinformation Meets AI -- 8 Misinformation and Inoculation -- 9 Misinformation and ChatGPT -- 10 Conclusion: Misinformation and AI.
520 _a“This book discusses how misinformation is used to manipulate the public and deny empirically verified evidence and truths, why humans have become more and more susceptible to fake news, and how the spread of misinformation can be managed and controlled using technologies such as AI.” —Frank Biocca, New Jersey Institute of Technology, Newark, NJ, US “Bringing the cognitive science of misinformation to AI, the book guides you through the focal points and possible pitfalls of artificial misinformation. Informed by years of research, the book provides insightful analytics on the misinformation dynamics that lie at the intersection of human minds and the double-edged sword of AI.” —John Pavlik, Rutgers, the State University of New Jersey, New Brunswick, NJ, US This book serves as a guide to understanding the dynamics of AI in human contexts with a specific focus on the generation, sharing, and consumption of misinformation online. How do humans and AI interact? How is AI shaping our understanding of ourselves and our societies? What are the interaction mechanisms that govern how humans and algorithms contribute to misinformation online? And how do we bridge the gap between ethical considerations and practical realities to make responsible, reliable systems? Exploring these questions, the book empowers humans to make AI design choices that allow them meaningful control over AI and the online sphere. Calling for an interdisciplinary approach toward human-misinformation algorithmic interaction that focuses on building methods and tools that robustly deal with complex psychological/social phenomena, the book offers a compelling insight into the future of AI-based society. Dr. Shin is a Chair and Professor at the College of Media and Communication at Texas Tech University. He was the founding Chair of the Department of Interaction Science, an industry-academia research initiative sponsored by Samsung and the Ministry of Education in Korea. He was awarded an Endowed Distinguished Professorship by the Ministry of Education in Korea and a SKK Endowed Chair (2010-2016). .
650 0 _aDigital media.
_959274
650 0 _aMass media
_xMoral and ethical aspects.
_971212
650 0 _aInternet
_xSocial aspects.
_959157
650 0 _aScience
_xSocial aspects.
_969032
650 1 4 _aDigital and New Media.
_965945
650 2 4 _aMedia Ethics.
_971213
650 2 4 _aInternet Studies.
_970888
650 2 4 _aScience and Technology Studies.
_969033
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031525681
776 0 8 _iPrinted edition:
_z9783031525704
776 0 8 _iPrinted edition:
_z9783031525711
856 4 0 _uhttps://doi.org/10.1007/978-3-031-52569-8
912 _aZDB-2-LCM
912 _aZDB-2-SXL
999 _c58679
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