Motor neurone disease (MND) and amyotrophic lateral sclerosis (ALS): Social media communication on selected #MND and #ALS tagged tweets

Bronwyn Hemsley, Stuart Palmer, Wendy Goonan, Stephen Dann

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Citations (Scopus)

    Abstract

    In March-April 2016, 3288 original tweets tagged with #MND #ALS and other minor related tags (e.g., #cureALS #cureMND) were analysed using mixed quantitative and qualitative methods on tweet data and content. In this paper we outline the technical methods used in gathering and selecting relevant tweets for analysis, and present the results including inductive coding of content themes. The findings will inform (a) future social media research in relation to MND/ALS, (b) improved supports for people with MND/ALS and their families to use Twitter for information exchange, advocacy, and as a non-verbal form of communication, and (c) knowledge for MND/ALS service providers and philanthropic organisations on ways to engage with adults with MND/ALS in Twitter.

    Original languageEnglish
    Title of host publicationProceedings of the 50th Annual Hawaii International Conference on System Sciences, HICSS 2017
    EditorsTung X. Bui, Ralph Sprague
    PublisherIEEE Computer Society
    Pages3764-3773
    Number of pages10
    ISBN (Electronic)9780998133102
    Publication statusPublished - 2017
    Event50th Annual Hawaii International Conference on System Sciences, HICSS 2017 - Big Island, United States
    Duration: 3 Jan 20177 Jan 2017

    Publication series

    NameProceedings of the Annual Hawaii International Conference on System Sciences
    Volume2017-January
    ISSN (Print)1530-1605

    Conference

    Conference50th Annual Hawaii International Conference on System Sciences, HICSS 2017
    Country/TerritoryUnited States
    CityBig Island
    Period3/01/177/01/17

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