Altuncu, Enes and Li, Shujun and Nurse, Jason R. C. (2026) Misinformation. In: The Palgrave Encyclopedia of Cyberpsychology. Palgrave. (In press) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:113733)
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Abstract
“Misinformation” refers to false or misleading information shared without intent to deceive. It differs from “disinformation,” which is intentionally deceptive. The spread of misinformation has intensified with the advent of digital technologies, particularly online social media and artificial intelligence (AI), enabling the rapid and large-scale dissemination of information. Belief in misinformation is influenced by cognitive biases, social identity, and emotional responses, while sharing behaviour may occur even without belief. Efforts to address misinformation include detection (e.g., fact-checking) and prevention (e.g., prebunking), often combining human and automated systems. Regulatory frameworks in regions such as the EU and the UK aim to increase platform accountability. Terminological inconsistencies, insufficient consideration of human aspects, and the dual role of AI tools, such as large language models (LLMs), present ongoing challenges.
| Item Type: | Book section |
|---|---|
| Subjects: |
B Philosophy. Psychology. Religion > BF Psychology H Social Sciences T Technology > T Technology (General) |
| Institutional Unit: |
Schools > School of Computing Institutes > Institute of Cyber Security for Society |
| Former Institutional Unit: |
There are no former institutional units.
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| Funders: | University of Kent (https://ror.org/00xkeyj56) |
| Depositing User: | Jason Nurse |
| Date Deposited: | 08 Apr 2026 18:49 UTC |
| Last Modified: | 08 Apr 2026 18:49 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/113733 (The current URI for this page, for reference purposes) |
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https://orcid.org/0000-0002-1362-9700
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