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    Sharing (Mis)information: A Social Network Analysis of Vaccine-related URLs on Twitter during COVID-19

    Cover for Sharing (Mis)information:  A Social Network Analysis  of Vaccine-related URLs on  Twitter during COVID-19
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    View/Open: FWang_Gnovis_Vol22.pdf (8.5MB) Bookview

    Creator
    Wang, Fan
    Contributor
    Georgetown University. Communication, Culture & Technology Graduate Program
    Abstract
    Collecting 4,435 tweets with the hashtag vaccine from December 11 to December 14, 2020, this study investigates the main web domains people share on Twitter when talking about the COVID19 vaccine. Drawing a bipartite network graph with NodeXL Pro, the researcher applied a social network analysis and identified 29 of the most shared websites. The study found two misinformation websites attracting more sharing behaviors than some news agencies, such as usatoday.com and vox.com, and explored how users used the contents from the websites within their tweets. The findings provide insights on misinformation identification and management during a public health crisis.
    Permanent Link
    http://hdl.handle.net/10822/1080171
    Date Published
    2022
    Rights
    All Rights Reserved
    Subject
    misinformation; sharing behavior; social network analysis; Twitter; vaccine;
    Type
    text
    Publisher
    Georgetown University. Communication, Culture & Technology Graduate Program
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    • gnovis
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    Georgetown University Seal
    ©2009 - 2023 Georgetown University Library
    37th & O Streets NW
    Washington DC 20057-1174
    202.687.7385
    digitalscholarship@georgetown.edu
    Accessibility