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Analysing the Pattern of Twitter Activities Among Academics in a UK Higher Education Institution

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Book cover Transforming Digital Worlds (iConference 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10766))

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Abstract

This study explores the temporal patterns of Twitter use in academia, through quantitative and qualitative methods, answering the following questions: When do academics tweet? Where do academics tweet? and How often do academics receive feedback from their followers on Twitter? UK academics who are active users of Twitter in a specific institution were recruited for the study. Both the temporal patterns (daily and weekly) in the use of Twitter and the uses themselves suggest that the practice is seen primarily as a professional matter, and secondarily as personal. A significant pattern of ‘microbreaks’ is identified. The data indicates that where Twitter use becomes habitual, it is experienced as a positive addition to available communication tools.

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Author information

Authors and Affiliations

  1. Department of Library and Information Science, University of Malaya, 50603, Kuala Lumpur, Malaysia

    Nordiana Ahmad Kharman Shah

  2. Information School, The University of Sheffield, Regent Court, Sheffield, S1 4DP, UK

    Andrew Martin Cox

Authors
  1. Nordiana Ahmad Kharman Shah
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  2. Andrew Martin Cox
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Corresponding author

Correspondence to Nordiana Ahmad Kharman Shah .

Editor information

Editors and Affiliations

  1. Northumbria University, Newcastle upon Tyne, United Kingdom

    Gobinda Chowdhury

  2. Northumbria University, Newcastle upon Tyne, United Kingdom

    Julie McLeod

  3. University of Sheffield, Sheffield, United Kingdom

    Val Gillet

  4. University of Sheffield, Sheffield, United Kingdom

    Peter Willett

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Ahmad Kharman Shah, N., Cox, A.M. (2018). Analysing the Pattern of Twitter Activities Among Academics in a UK Higher Education Institution. In: Chowdhury, G., McLeod, J., Gillet, V., Willett, P. (eds) Transforming Digital Worlds. iConference 2018. Lecture Notes in Computer Science(), vol 10766. Springer, Cham. https://doi.org/10.1007/978-3-319-78105-1_7

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  • DOI: https://doi.org/10.1007/978-3-319-78105-1_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78104-4

  • Online ISBN: 978-3-319-78105-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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