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Chukwuere, J.: ¬The future of AI chatbots in higher education (2024) 1.00
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Kreutz, C.K.; Wolz, M.; Knack, J.; Schenkel, R.: SchenQL: in-depth analysis of a query language for bibliographic metadata (2022) 1.00
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Sennett, R.: Autorität (2008) 1.00

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Andersson, C.; Sundin, O.: ¬The elusive search engine : how search engine use is reflected in survey reports (2024) 1.00
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Goh, D.H.-L.: "He looks very real" : media, knowledge, and search-based strategies for deepfake identification (2024) 1.00
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Ferrer, N. Ferran- => Ferran-Ferrer, N.: 1.00

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Giacomini, L.: Ontologies and knowledge representation in terminology : present and future perspectives (2024) 1.00
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Liew, C.L.; Lipscombe, A.: Centering dialog and care in digital Indigenous knowledge stewardship : of relationality, responsibility, and respect (2024) 1.00
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Ni, R.; Waltman, L.: To preprint or not to preprint : a global researcher survey (2024) 1.00
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Moffat, A.; Mackenzie, J.: How much freedom does an effectiveness metric really have? (2024) 1.00
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Verma, M.K.; Kumar, V.; Yuvaraj, M.: Semiotic scale for library software interfaces : development and validation (2024) 1.00
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Liu, H.; Zhang, D.R.; Zhou, Q.S.; Li, B.: explore the interests and tensions of stakeholders in preservation actions : For perpetuating social media collective memory proactively and inclusively (2024) 1.00
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Liu, J.; Guo, X.; Xu, S.; Bu, Y.; Sugimoto, C.R.; Larivière, V.; Song, Y.; Zhou, H.: evidence from the field of economics : Understanding super-partnerships in scientific collaboration (2024) 1.00
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Wittenberg, A.: ¬Die zweite Aufklärung : Multipolar-Magazin [ttps://multipolar-magazin.de/artikel/die-zweite-aufklaerung]. (2024) 1.00
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Postman, N.: ¬Die zweite Aufklärung : vom 18. ins 21. Jahrhundert (1999) 1.00
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Gao, T.; Yen, H.; Yu, J.; Chen, D.: Enabling large language models to generate text with citations (2023) 1.00
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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.) 1.00
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Wang, Z.; He, H.; Xu, G.; Ren, M.: Will sentiment analysis need subculture? : a new data augmentation approach (2024) 1.00
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Handbook of digital inequality (2021) 1.00

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McKay, D.; Makri, S.; Gutierrez-Lopez, M.; Porlezza, C.; Macfarlane, A.; Cooper, G.; Missaoui, S.: I'm the same, I'm the same, I'm trying to change : investigating the role of human information behavior in view change (2024) 1.00
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