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Disciplinary variation in scholarly impact from two article title elements

Journal of Librarianship and Information Science, Ahead of Print. For understandable reasons, scholarly impact statistics have become a contentious …

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A systematic review of information and communication technologies (ICTs) on student motivation: researchers’ reflections on a selected higher education institution (HEIs)

A systematic review of information and communication technologies (ICTs) on student motivation: researchers’ reflections on a selected higher …

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Data literacy training needs of researchers at South African universities

Data literacy training needs of researchers at South African universitiesMathew Moyo, Siviwe BanganiGlobal Knowledge, Memory and Communication, Vol.…

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Emotional showdown on social media: analyzing user reactions to the 2016 US presidential campaign

Emotional showdown on social media: analyzing user reactions to the 2016 US presidential campaignMarina Bagić BabacGlobal Knowledge, Memory and …

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Quantitative analysis of the relationship between expressing gratitude and forgiveness and user sentiment on social media

Quantitative analysis of the relationship between expressing gratitude and forgiveness and user sentiment on social mediaMateo Hitl, Nikola Greb, …

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Enhancing service delivery through digital transformation in the public sector in South Africa

Enhancing service delivery through digital transformation in the public sector in South AfricaAmos Shibambu, Mpho NgoepeGlobal Knowledge, Memory and…

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MD-LDA: a supervised LDA topic model for identifying mechanism of disease in TCM

MD-LDA: a supervised LDA topic model for identifying mechanism of disease in TCMMeiwen Li, Liye Xia, Qingtao Wu, Lin Wang, Junlong Zhu, Mingchuan …

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Assessing the alignment of corporate ESG disclosures with the UN sustainable development goals: a BERT-based text analysis

Assessing the alignment of corporate ESG disclosures with the UN sustainable development goals: a BERT-based text analysisHyogon Kim, Eunmi Lee, …

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A comparative analysis of job satisfaction prediction models using machine learning: a mixed-method approach

A comparative analysis of job satisfaction prediction models using machine learning: a mixed-method approachJaekyeong Kim, Pil-Sik Chang, Sung-Byung…

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