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Implementing an unlearning approach to combat counter-knowledge in multiple sclerosis.

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Název: Implementing an unlearning approach to combat counter-knowledge in multiple sclerosis.
Autoři: Cegarra-Sánchez, Jorge, Martínez-Martínez, Aurora, Cegarra-Navarro, Juan-Gabriel, Wensley, Anthony
Zdroj: Knowledge Management Research & Practice; Aug2025, Vol. 23 Issue 4, p429-439, 11p
Témata: PROCESS capability, CONSPIRACY theories, MACHINE learning, MULTIPLE sclerosis, RUMOR
Abstrakt: In the social domain, the term counter-knowledge has been used to refer to misinformation, gossip, rumours, and conspiracy theories that masquerade as knowledge. An individual's assimilation of such counter-knowledge can lead to inappropriate individual behaviours and organisational decision-making. This study proposes a framework for investigating the relationship between counter-knowledge and learning myopia at the individual level in the healthcare domain, focusing on Multiple Sclerosis (MS). Given that those suffering from MS can experience symptoms leading to both a slowing down of information processing and a limited capacity. It is argued that these symptoms are likely to lead to exacerbating other symptoms, such as anxiety and depression. In addition to investigating how social counter-knowledge results in individual counter-knowledge, the research proposes a framework for understanding the challenges of implementing machine unlearning approaches, and a set of strategies to disrupt this linkage is also proposed. [ABSTRACT FROM AUTHOR]
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Databáze: Complementary Index
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Abstrakt:In the social domain, the term counter-knowledge has been used to refer to misinformation, gossip, rumours, and conspiracy theories that masquerade as knowledge. An individual's assimilation of such counter-knowledge can lead to inappropriate individual behaviours and organisational decision-making. This study proposes a framework for investigating the relationship between counter-knowledge and learning myopia at the individual level in the healthcare domain, focusing on Multiple Sclerosis (MS). Given that those suffering from MS can experience symptoms leading to both a slowing down of information processing and a limited capacity. It is argued that these symptoms are likely to lead to exacerbating other symptoms, such as anxiety and depression. In addition to investigating how social counter-knowledge results in individual counter-knowledge, the research proposes a framework for understanding the challenges of implementing machine unlearning approaches, and a set of strategies to disrupt this linkage is also proposed. [ABSTRACT FROM AUTHOR]
ISSN:14778238
DOI:10.1080/14778238.2024.2420816