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Citations and the Nature of Cited Sources: A Cross-Disciplinary and Cross-Linguistic Study

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  • Guihua Wang
  • Guangwei Hu

Abstract

Extant scholarship on citation has examined a limited number of citational features, adopted disciplinary and ethnolinguistic perspectives disjunctively, and paid little systematic attention to the nature of cited sources. Drawing on appraisal theory, the present study investigated the nature of cited sources, namely personalization (i.e., whether humans are foregrounded as a cited source) and identification (i.e., whether and how the cited sources are identified), to understand their dialogic functionality in knowledge making. We analyzed citations in a corpus of 84 research articles sampled from two disciplines and two languages. Greater citation-based dialogic contraction was found in the medical articles than in the applied linguistic articles, whereas the cross-linguistic contrasts revealed a mixed picture. The differences are explained in terms of divergent epistemologies, cultural beliefs, discursive practices, institutional settings, and co-patterning of different citation features.

Suggested Citation

  • Guihua Wang & Guangwei Hu, 2022. "Citations and the Nature of Cited Sources: A Cross-Disciplinary and Cross-Linguistic Study," SAGE Open, , vol. 12(2), pages 21582440221, April.
    • Handle: RePEc:sae:sagope:v:12:y:2022:i:2:p:21582440221093350
    DOI: 10.1177/21582440221093350
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    References listed on IDEAS

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    1. Ling-Ling Wu & Mu-Hsuan Huang & Ching-Yi Chen, 2012. "Citation patterns of the pre-web and web-prevalent environments: The moderating effects of domain knowledge," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2182-2194, November.
    2. Ling‐Ling Wu & Mu‐Hsuan Huang & Ching‐Yi Chen, 2012. "Citation patterns of the pre‐web and web‐prevalent environments: The moderating effects of domain knowledge," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(11), pages 2182-2194, November.
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