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Linguistic Diversity Index: A Scientometric Measure to Enhance the Relevance of Small and Minority Group Languages

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  • Václav Linkov
  • Kieran O’Doherty
  • Eunsoo Choi
  • Gyuseog Han

Abstract

Current scientometric indexes do not encourage the linguistic diversity of sources cited in academic texts and researchers are not motivated to cite texts written in smaller languages. This diminishes the cultural diversity of the sources cited and limits the representation of small and indigenous cultures. This text proposes a scientometric measure designed to encourage the linguistic diversity of sources cited in articles, books, and papers. The Linguistic Diversity Index is based on two stipulations: (a) the more linguistically diverse the sources, the higher the score, and (b) the rarer the languages cited, the higher the score. If such a metric were used for the evaluation of social science and humanities journals, it would encourage the publication of papers that cite ideas from rarely represented cultural groups such as indigenous nations, ethnic groups from small countries, and other linguistic groups that have been omitted from mainstream scientific discourse. This might help to produce new research, which would help to improve the situation for these groups and create an epistemology that is more just to small cultural groups.

Suggested Citation

  • Václav Linkov & Kieran O’Doherty & Eunsoo Choi & Gyuseog Han, 2021. "Linguistic Diversity Index: A Scientometric Measure to Enhance the Relevance of Small and Minority Group Languages," SAGE Open, , vol. 11(2), pages 21582440211, April.
    • Handle: RePEc:sae:sagope:v:11:y:2021:i:2:p:21582440211009191
    DOI: 10.1177/21582440211009191
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    1. Andreea Mironescu & Alina Moroșanu & Anca-Diana Bibiri, 2023. "The regional dynamics of multilingual publishing in web of science: A statistical analysis of central and eastern european journals and researchers in linguistics," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1133-1162, February.

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