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    Developing Techniques to Support Technological Solutions to Disinformation by Analysing Four Conspiracy Networks During COVID-19

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    Name:
    Transactions_Engineering_manag ...
    Embargo:
    2023-12-31
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    1.936Mb
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    Authors
    Ahmed, Wasim
    Önkal, Dilek
    Das, Ronnie
    Krishnan, Satish
    Olan, Femi
    Marianne (Maz), Hardey
    Fenton, Alex
    Affiliation
    University of Stirling; Northumbria University; Audencia Business School; Indian Institute of Management, Kozhikode; University of Essex; Durham University; University of Chester
    
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    Abstract
    Given the role of technology and social media during the COVID-19 pandemic, the aim of this paper is to conduct a social network analysis of four COVID-19 conspiracy theories that were spread during the pandemic between March to June 2020. Specifically, the paper examines the 5G, Film Your Hospital, Expose Bill Gates, and the Plandemic conspiracy theories. Identifying disinformation campaigns on social media and studying their tactics and composition is an essential step toward counteracting such campaigns. The current study draws upon data from the Twitter Search API and uses social network analysis to examine patterns of disinformation that may be shared across social networks with sabotaging ramifications. The findings are used to generate the Framework of Disinformation Seeding and Information Diffusion for understanding disinformation and the ideological nature of conspiracy networks that can support and inform future pandemic preparedness and counteracting disinformation. Furthermore, a Digital Mindfulness Toolbox (DigiAware) is developed to support individuals and organisations with their information management and decision-making both in times of crisis and as strategic tools for potential crisis preparation.
    Citation
    Ahmed, W., Önkal, D., Das, R., Krishnan, S., Olan, F., Hardey, M., & Fenton, A. (2023). Developing Techniques to Support Technological Solutions to Disinformation by Analysing Four Conspiracy Networks During COVID-19. IEEE Transactions on Engineering Management, vol(issue), pp.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Engineering Management
    URI
    http://hdl.handle.net/10034/627770
    Additional Links
    https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=17
    Type
    Article
    Description
    © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    ISSN
    0018-9391
    EISSN
    1558-0040
    Collections
    Centre for Work Related Studies

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