- New
-
Topics
- All Categories
- Metaphysics and Epistemology
- Value Theory
- Science, Logic, and Mathematics
- Science, Logic, and Mathematics
- Logic and Philosophy of Logic
- Philosophy of Biology
- Philosophy of Cognitive Science
- Philosophy of Computing and Information
- Philosophy of Mathematics
- Philosophy of Physical Science
- Philosophy of Social Science
- Philosophy of Probability
- General Philosophy of Science
- Philosophy of Science, Misc
- History of Western Philosophy
- Philosophical Traditions
- Philosophy, Misc
- Other Academic Areas
- Journals
- Submit material
- More
Artificial Misinformation: Exploring Human-Algorithm Interaction Online
Springer Nature Switzerland (2024)
Abstract
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.
Links
PhilArchive
External links
(no proxy)
Setup an account with your affiliations in order to access resources via your University's proxy server
Through your library
- Sign in / register and customize your OpenURL resolver
- Configure custom resolver
My notes
Chapters
Introduction: The Epistemology of Misinformation—How Do We Know What We Know
The epidemic of misinformation has been identified as one of the most significant concerns in contemporary society. Misinformation is on the rise, and it seems that artificial intelligence (AI) is the primary conduit for it. AI is a double-edged sword for misinformation that can do good—but also wor... see more
Misinformation, Extremism, and Conspiracies: Amplification and Polarization by Algorithms
Misinformation can be a direct cause of radicalization due to its tendency to trigger strong emotions. Aggressive messages that arouse anxiety can be highly persuasive—messages that point to a threat, particularly one that is sensitive and socially hot, create a cognitive drive for more content abou... see more
Misinformation and Algorithmic Bias
What happens if the data fed to AI are biased? What happens if the response of a chatbot spreads misinformation? Unlike many people hope, AI is as biased as humans are. Bias can originate from various venues, including but not limited to the design and unintended or unanticipated use of the algorith... see more
Misinformation and Diversity: Nudging Away from Misinformation Nudging Toward Diversity
This chapter introduces the principle of diversity-aware AI and discusses the need to develop recommendation models to embed AI with diversity awareness to mitigate misinformation. Free and plural ideas are key to addressing misinformation and informing users. A key indicator of the healthy online e... see more
Misinformation, Paradox, and Nudge: Combating Misinformation Through Nudging
The rapid spread of misinformation online can be attributed to bias in human decision-making, facilitated by algorithmic processes. The area of human-computer interaction has contributed a mechanism of such biases that can be addressed by the design of system interventions. For example, the principl... see more
Misinformation Processing Model: How Users Process Misinformation When Using Recommender Algorithms
The diffusion of misinformation has garnered considerable attention in our society. As algorithms have been considered one of the major drivers behind the spread and amplification of misinformation, it is useful to understand the effects of these algorithms on misinformation sharing and the manner i... see more
Misinformation, Paradox, and Heuristics: An Algorithmic Nudge to Counter Misinformation
No one is completely immune to misinformation because of how human cognition is built and how misinformation takes advantage of it. Often, using nudges to help steer users into fact-checking the information is much more effective than detecting misinformation. This chapter presents empirical work on... see more
Conclusion: Misinformation and AI—How Algorithms Generate and Manipulate Misinformation
The growing prominence of deepfakes in the last several years has triggered an ongoing discussion of authenticity online and of the distinction between fact and fiction. Deepfakes, which use deep learning involving AI to generate videos or fake events, are highly realistic synthetic media that can b... see more
Misinformation and Inoculation: Algorithmic Inoculation Against Misinformation Resistance
AI-enabled services, such as chatbots and generative systems, are often unable to generate correct information per user request, thus creating user resistance and preventing the smooth diffusion of AI services. Previous research has mostly addressed how to improve AI responses but fails to consider ... see more
Misinformation and Generative AI: How Users Construe Their Sense of Diagnostic Misinformation
ChatGPT has opened a new front in the fake news wars. This chapter is motivated by the rapidly improving capabilities and accessibility of generative AI and rapidly increasing misinformation problems. Misinformation is by no means a new phenomenon, yet its trend is highlighted by the emergence of AI... see more
Similar books and articles
Consequences of Online Misinformation on COVID-19: Two Potential Pathways and Disparity by eHealth Literacy.Hye Kyung Kim & Edson C. Tandoc - 2022 - Frontiers in Psychology 13.
Online Misinformation and “Phantom Patterns”: Epistemic Exploitation in the Era of Big Data.Megan Fritts & Frank Cabrera - 2021 - Southern Journal of Philosophy 60 (1):57-87.
An Examination of Factors Contributing to the Acceptance of Online Health Misinformation.Wenjing Pan, Diyi Liu & Jie Fang - 2021 - Frontiers in Psychology 12.
Exploring consumers’ serendipitous experiences in online marketplaces: characteristics, development route and factors influencing it.Xuanning Chen - 2023 - Dissertation, The University of Sheffield
Analyzing social situations for human–robot interaction.Alan R. Wagner & Ronald C. Arkin - 2008 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 9 (2):277-300.
Memes, Misinformation, and Political Meaning.Michael P. Lynch - 2022 - Southern Journal of Philosophy 60 (1):38-56.
A Digital Picture to Hold Us Captive? A Flusserian Interpretation of Misinformation Sharing on Social Media.Lavinia Marin - 2021 - Philosophy Today 65 (3):485–504.
Development and Validation of the Online Interaction Scale in Organizational Context.Xin Liu, Chenhui Zhao, Zimeng Chen & Qing Wang - 2022 - Frontiers in Psychology 13.
Re-creating the Philosopher’s Mind: Artificial Life from Artificial Intelligence.Maurice H. T. Ling - 2012 - Human-Level Intelligence 2:1.
Engineering Trustworthiness in the Online Environment.Hugh Desmond - 2023 - In Mark Alfano & David Collins (eds.), The Moral Psychology of Trust. Rowman and Littlefield. pp. 215-237.
Problems with using a human-dog interaction model for human-robot interaction?Torbjorn S. Dahl - 2014 - Interaction Studiesinteraction Studies Social Behaviour and Communication in Biological and Artificial Systems 15 (2):190-194.
Human–computer interaction tools with gameful design for critical thinking the media ecosystem: a classification framework.Elena Musi, Lorenzo Federico & Gianni Riotta - forthcoming - AI and Society:1-13.
Analytics
Added to PP
2024-03-28
Downloads
17 (#861,334)
6 months
17 (#145,386)
2024-03-28
Downloads
17 (#861,334)
6 months
17 (#145,386)
Historical graph of downloads
PhilPapers logo by Andrea Andrews and Meghan Driscoll.
This site uses cookies and Google Analytics (see our terms & conditions for details regarding the privacy implications). Use of this site is subject to terms & conditions.
All rights reserved by The PhilPapers Foundation
Server: philpapers-web-659b74868d-gf2vn uwo