Artificial Misinformation

Exploring Human-Algorithm Interaction Online
Erscheinungsjahr 2025
ISBN: 978-3-031-52571-1
Verlag: Springer Nature Switzerland

Buch, Englisch, 286 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 391 g

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.

Zielgruppe

Research

Autoren/Hrsg.

Shin, Donghee

Fachgebiete

• Sozialwissenschaften Medien- und Kommunikationswissenschaften Kommunikationswissenschaften Digitale Medien, Internet, Telekommunikation
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Geisteswissenschaften Philosophie Angewandte Ethik & Soziale Verantwortung Wissenschaftsethik, Technikethik

Inhaltsverzeichnis

Part 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.

Über Autor(innen)

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).