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Abstract

This paper arises from the possibility of a theoretical dialogue between the socio-cognitive perspectives of knowledge organization and the Bakhtinian concepts on conscience, "responsible act," "responsive understanding," and polyphony as attitudes that motivate the dialogism that is inherent to language. Those questions allow us to recognize the professional that organizes and represents knowledge as someone who has an intersubjective conscience, a product composed by two axes that are indeed deeply connected: the "self " and the "other." Therefore, the acts of representing and organizing knowledge are deeply affected by external discourses and by internal discourses. Those different discourses come together at the moment of representing the knowledge and act as a response to the dialogues between the external and the internal discourses. As a consequence, the indexing/ classification codes, terms or signs assume a dialogical and dynamic representativeness in order to correspond not only to the contents of the documents but also to dialogue with a diverse user community, by the recognition of the alterity/otherness of the social actors and the social situations. Finally, it is important to point out the need of an ethical and democratic attitude of the indexer/classifier, in order to represent the social pluralism and show an equipollence of social voices.

Type

a

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Abstract

Considering the need for a constant questioning on the role of the information professional, more specifically with respect to the ethical aspects of their practice, this study discusses how information science has been addressing over the past decades the ethical aspects inherent to the field of knowledge organization. In this context, we discuss the concepts of interactive epistemography and transcultural ethics of mediation by Antonio García Gutiérrez, multilingualism in knowledge representation by Michèle Hudon, cultural hospitality by Clare Beghtol and the power to name by Hope Olson, in their aspects of convergence, complementarity and dialogicity.

Content

Beitrag in: Special Issue: "A Festschrift for Hope A. Olson," Guest Editor Thomas Walker.

Type

a

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Abstract

The international literature on information science has devoted attention to ethical studies in information, especially due to the development of information technologies. However, the information organization activities have incipient ethical studies that are mostly focused on libraries. Thus, the area of archival science still lacks studies of this nature, which leads to question how the codes of ethics for archivists address issues related to ethical dilemmas of information organization activities, especially in core activities of arrangement and document description. Thus, this study aims to identify and analyze ethical values related to those aforementioned activities, by analyzing the codes of the following countries: Brazil, Portugal, France, Spain, Australia, Canada, USA, New Zealand, United Kingdom and Switzerland and the ICA codes of ethics. Applying a content analysis, the following values were found: access and use, authenticity, confidentiality, conservation, custody, impartiality, information access, information security, physical preservation of the record, reliability, respect for provenance, respect for the original order, respect for the preservation of the archival value of the record.

Type

a

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Abstract

Personal data play a fundamental role in contemporary socioeconomic dynamics, with one of its primary aspects being the potential to facilitate discriminatory situations. This situation impacts the knowledge organization field especially because it considers personal data as elements (facets) to categorize persons under an economic and sometimes discriminatory perspective. The research corpus was collected at Scopus and Web of Science until the end of 2021, under the terms "data discrimination", "algorithmic bias", "algorithmic discrimination" and "fair algorithms". The obtained results allowed to infer that the analyzed knowledge domain predominantly incorporates personal data, whether in its behavioral dimension or in the scope of the so-called sensitive data. These data are susceptible to the action of algorithms of different orders, such as relevance, filtering, predictive, social ranking, content recommendation and random classification. Such algorithms can have discriminatory biases in their programming related to gender, sexual orientation, race, nationality, religion, age, social class, socioeconomic profile, physical appearance, and political positioning.

Type

a