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Towards an understanding of uncertainty on Wikipedia during crises: a mixed methods approach

Towards an understanding of uncertainty on Wikipedia during crises: a mixed methods approach
Towards an understanding of uncertainty on Wikipedia during crises: a mixed methods approach
This thesis proposes an interdisciplinary approach to understanding the Wikipedia editors' response to new disease outbreak crises. A mixed methods triangulation-based approach is used to examine the change in the editing patterns and the response to the uncertainty during new disease outbreak crises on Wikipedia. Quantitative data sources have been utilised to reveal the patterns of editing activities during new disease outbreak crises and to establish the reasons behind this change. Qualitative data sources have been used to distinguish between the forms and the strategies used to manage the uncertainty during new disease outbreak crises. The triangulation and the integration of results revealed Wikipedia as a social machine. This is further discussed while highlighting the importance of 'co-creation' on Wikipedia during new disease outbreak crises. This thesis presents a thematic framework that depicts various forms of uncertainty and the strategies used to manage this uncertainty on Wikipedia during crises. Therefore, this thesis provides a conceptual and methodological contribution to the field of Web Science and has important implications for future research.
University of Southampton
Al Tamime, Reham
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Al Tamime, Reham
bb5c8080-80e5-49ef-b649-c53d08e8c088
Hall, Wendy
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Al Tamime, Reham (2020) Towards an understanding of uncertainty on Wikipedia during crises: a mixed methods approach. University of Southampton, Doctoral Thesis, 217pp.

Record type: Thesis (Doctoral)

Abstract

This thesis proposes an interdisciplinary approach to understanding the Wikipedia editors' response to new disease outbreak crises. A mixed methods triangulation-based approach is used to examine the change in the editing patterns and the response to the uncertainty during new disease outbreak crises on Wikipedia. Quantitative data sources have been utilised to reveal the patterns of editing activities during new disease outbreak crises and to establish the reasons behind this change. Qualitative data sources have been used to distinguish between the forms and the strategies used to manage the uncertainty during new disease outbreak crises. The triangulation and the integration of results revealed Wikipedia as a social machine. This is further discussed while highlighting the importance of 'co-creation' on Wikipedia during new disease outbreak crises. This thesis presents a thematic framework that depicts various forms of uncertainty and the strategies used to manage this uncertainty on Wikipedia during crises. Therefore, this thesis provides a conceptual and methodological contribution to the field of Web Science and has important implications for future research.

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Towards an Understanding of Uncertainty on Wikipedia During Crises: A Mixed Methods Approach - Version of Record
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Published date: January 2020

Identifiers

Local EPrints ID: 442084
URI: http://eprints.soton.ac.uk/id/eprint/442084
PURE UUID: c344cde7-a0ea-49d4-8e68-2013d260febc
ORCID for Wendy Hall: ORCID iD orcid.org/0000-0003-4327-7811

Catalogue record

Date deposited: 07 Jul 2020 16:48
Last modified: 17 Mar 2024 02:32

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Contributors

Author: Reham Al Tamime
Thesis advisor: Wendy Hall ORCID iD

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