Fallacy as Foundation of Post-Truth Knowledge and Knowing in LIS

How can library and information science (LIS) better promote epistemic vigilance and critical ethics toward post-truth (i.e., harmful; false; mis/dis/mal) information? This preliminary critical philosophical investigation argues LIS must go beyond considering mis/dis/mal information, and instead examine how post-truth shapes the process of producing mis/dis/mal epistemology through fallacies. Drawing from insights related to epistemicide and epistemic injustice in LIS, we reconsider post-truth and the modes of justification validating false beliefs as knowledge. We operationalize Fallacy 1 (“deceptively bad arguments”) and Fallacy 2 (“false popular belief”) to consider post-truth knowledge production. LIS faces an immediate pedagogical imperative of preparing information professionals to equitably mitigate fallacious harms inflicted by fake news proliferation, wavering information literacy, and the largely uncritical popularization of AI systems and tools which forcefully facilitate knower interactions with post-truth information. The evolving notions of post-truth information requires a critical ethical revolution for LIS.

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Publication Details

Journal
Proceedings of the ALISE Annual Conference
Published
2024-10-16
DOI
https://doi.org/10.21900/j.alise.2024.1696
Citations
2
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.69
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article

Fallacy as Foundation of Post-Truth Knowledge and Knowing in LIS

Beth Patin, Tyler Youngman
2 citations
Proceedings of the ALISE Annual Conference
Semantic Web and Ontologies
0.69
article

Fallacy as Foundation of Post-Truth Knowledge and Knowing in LIS

Beth Patin, Tyler Youngman
article en
2 citations

Abstract

How can library and information science (LIS) better promote epistemic vigilance and critical ethics toward post-truth (i.e., harmful; false; mis/dis/mal) information? This preliminary critical philosophical investigation argues LIS must go beyond considering mis/dis/mal information, and instead examine how post-truth shapes the process of producing mis/dis/mal epistemology through fallacies. Drawing from insights related to epistemicide and epistemic injustice in LIS, we reconsider post-truth and the modes of justification validating false beliefs as knowledge. We operationalize Fallacy 1 (“deceptively bad arguments”) and Fallacy 2 (“false popular belief”) to consider post-truth knowledge production. LIS faces an immediate pedagogical imperative of preparing information professionals to equitably mitigate fallacious harms inflicted by fake news proliferation, wavering information literacy, and the largely uncritical popularization of AI systems and tools which forcefully facilitate knower interactions with post-truth information. The evolving notions of post-truth information requires a critical ethical revolution for LIS.

Proceedings of the ALISE Annual Conference
Syracuse University (US)
Quality Education
Openalex Percentile: Top 24%
Semantic Web and Ontologies
0.69
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