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Teplitskiy, M.; Lu, G.; Duede, E.: Amplifying the impact of open access : Wikipedia and the diffusion of science (2017)
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Arazy, O.; Lifshitz-Assaf, H.; Balila, A.: Neither a Bazaar nor a cathedral : the interplay between structure and agency in Wikipedia's role system (2019)
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Luyt, B.; Ally, Y.; Low, N.H.; Ismail, N.B.: Librarian perception of Wikipedia : threats or opportunities for librarianship? (2010)
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Zielinski, K.; Nielek, R.; Wierzbicki, A.; Jatowt, A.: Computing controversy : formal model and algorithms for detecting controversy on Wikipedia and in search queries (2018)
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Tomaszewski, R.: Citations to chemical databases in scholarly articles : to cite or not to cite? (2019)
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Wang, P.; Li, X.: Assessing the quality of information on Wikipedia : a deep-learning approach (2020)
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Chi, Y.; He, D.; Jeng, W.: Laypeople's source selection in online health information-seeking process (2020)
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Zhao, D.; Strotmann, A.: Mapping knowledge domains on Wikipedia : an author bibliographic coupling analysis of traditional Chinese medicine (2022)
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Zhao, D.; Strotmann, A.: Intellectual structure of information science 2011-2020 : an author co-citation analysis (2022)
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Centelles, M.; Ferran-Ferrer, N.: Taxonomies and ontologies in Wikipedia and Wikidata : an in-depth examination of knowledge organization systems (This article examines Wikipedia's knowledge organization system (KOS) and the broader KOS of Wikidata. We study the structure, functions, and relationship of Wikipedia's KOS to concepts like taxonomies and folksonomies, highlighting its unique characteristics compared to social media. A significant aspect of our examination is the gender-related content classification in the Catalan edition of Wikipedia (Viquipèdia), which notably excludes female categories and non-binary gender classifications. We explore the potential implications of these restrictions on gender bias within the platform. Furthermore, we broaden our investigative methodology to assess the KOS of Wikidata. Wikidata is a dataset built on ontological principles, designed to enhance and enrich Wikipedia's digital, collaborative encyclopedia. The findings shed light on the presence or absence of gender bias and contribute to the ongoing discourse on promoting inclusivity and diversity in online knowledge sharing.)
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