出版社：University of Sheffield, Department of Information Studies
摘要：Introduction . We investigate how information retrieval systems, particularly algorithms underlying information retrieval systems, facilitate use of an individual's subject knowledge in the assessment of relevance. Method . Floridi's conceptualization of information ethics is applied to argue that in order to ensure fair and equitable representation and discovery of information, the ethical norms and standards applied to the biosphere should be extended to information environments. Analysis . We critically analyse the systems of knowledge representation, organization and discovery through the lens of the theory of relevance to determine whether it sheds light on our understanding of algorithmic relevance. Results . We argue that an individual's situated perception of relevance should be considered in relation to the algorithmic criteria of relevance to ensure accountable, fair, equal, transparent and, most importantly, ethical assessment of relevance of discovered information. Conclusion . This paper contributes to explicating the role of algorithmic relevance in information representation, organization, and discovery. We argue that Floridi's conceptualization of information ethics from an ecologically-oriented perspective aligns with the ideal of accountability, fairness, equality and transparency in representation, organization and discovery systems. Placing emphasis on the human side of representation, organization and discovery reinforces the ethical norms associated with fair access to knowledge through all processes involved.
