Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l'ACSI
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1726 research outputs found
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LE PROGRAMME D\u27INFORMATION INTEGREE SUR LA FAUNE: UNE UTILISATION DE LA TELEMATIQUE POUR GERER L\u27INFORMATION BIOPHYSIQUE/THE INTEGRATED INFORMATION PROGRAM ON FAUNA: AN ONLINE MANAGEMENT SYSTEM FOR BIOPHYSICS INFORMATION
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ACCESSIBILITE A L\u27INFORMATION GOUVERNEMENTALE: LES ATTENTES DES JOURNALISTES/ACCESS TO GOVERNMENT INFORMATION - JOURNALISTS\u27 NEEDS
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VERS UNE UTILISATION PLUS RATIONNELLE DES MEDIATEURS DANS LA RECHERCHE BIBLIOGRAPHIQUE EN-LIGNE
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Integration of telidon with basis– A query-driven bibliographic utility/ L\u27intégration de télidon et de basis: Un systéme bibliographique de type revue
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Charting a faceted categorization of AI and ethics
This paper presents a study of growing trends reflected by publications and published statements on the multifaceted topic of Ethical Artificial Intelligence in library and information science, evidenced in the literature and in the Scopus multidisciplinary database
Getting the whole story: On the coverage of historical journals in Web of Science and Scopus
Historical research involves the construction of competing narratives around complex historical events. Getting the whole story requires having access to these narratives, which can be a challenge when the coverage of historical research in widely used databases is incomplete or biased. This paper investigates to what extent journals indexed in two historical research databases, namely Historical Abstracts and America: History and Life, are covered by the Web of Science and Scopus, as well as the national and linguistic biases in that coverage. Results show a much higher coverage of historical research in Web of Science than Scopus. However, both databases disproportionately favour indexing English language journals and journals published in the United States and the United Kingdom. That raises questions about how these imbalances in journal coverage may lead to biases in the narratives to which readers are exposed when they limit their sources to those included in large, multidisciplinary databases