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

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  • Jorge Cegarra-Sánchez
  • Aurora Martínez-Martínez
  • Juan-Gabriel Cegarra-Navarro
  • Anthony Wensley

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.

Suggested Citation

  • Jorge Cegarra-Sánchez & Aurora Martínez-Martínez & Juan-Gabriel Cegarra-Navarro & Anthony Wensley, 2025. "Implementing an unlearning approach to combat counter-knowledge in multiple sclerosis," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 23(4), pages 429-439, July.
  • Handle: RePEc:taf:tkmrxx:v:23:y:2025:i:4:p:429-439
    DOI: 10.1080/14778238.2024.2420816
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