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Ethical Challenges in Archival Knowledge Organization: the description of personal data for long-term preservation

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... These standards condition the availability and structure of the knowledge base on the web and thus the contents and relationships used as sources by those computer algorithms and artificial intelligence. This aspect is especially sensitive and relevant for knowledge organization in the case of personal information (Guimarães et al. 2019). While in the past the use and involvement of computer algorithms were considered part of the "physical paradigm" or "system-driven paradigm" of knowledge organization (Hjørland 2008) in a more monolithic way in which the decisions of the system designers determined the organization of knowledge, the input of users' evaluations first, in a more traditional way, and the collection of metadata produced by conscious or unconscious behaviors on the social web today has moved them to the side of the "user-oriented" paradigm. ...
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In this paper we discuss some ethical issues and challenges of the use of algorithms on the web from the perspective of knowledge organization. We review some of the problems that these algorithms and the filter bubbles pose for the users. We contextualize these issues within the user-based approaches to knowledge organization in a larger sense. We review some of the technologies that have been developed to counter these problems as well as initiatives from the knowledge organization field. We conclude with the necessity of adopting a critical and ethical stance towards the use of algorithms on the web and the need for an education in knowledge organization that addresses these issues.
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