Implementing an unlearning approach to combat counter-knowledge in multiple sclerosis
Jorge Cegarra-Sánchez,
Aurora Martínez-Martínez,
Juan-Gabriel Cegarra-Navarro and
Anthony Wensley
Knowledge Management Research & Practice, 2025, vol. 23, issue 4, 429-439
Abstract:
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.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:taf:tkmrxx:v:23:y:2025:i:4:p:429-439
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DOI: 10.1080/14778238.2024.2420816
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