Dataset

Dynamic Visualization (2017) Animation of #adani + #carmichael showing hub accounts in Australian Twitter discourse.

The University of Sydney
Dr Mitchell John Hobbs (Principal investigator, Aggregated by) Dr Chao Sun (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25910/5d11724a6b7c9&rft.title=Dynamic Visualization (2017) Animation of #adani + #carmichael showing hub accounts in Australian Twitter discourse.&rft.identifier=https://doi.org/10.25910/5d11724a6b7c9&rft.publisher=The University of Sydney&rft.description=A Twitter scrape of 3,500 tweets in the TrISMA database that contained both #Carmichael + #Adani hashtags. Eachdot in this dynamic graph has a uniform size and represents a unique user account. The lines between accountsrepresent relationships defined by three types of actions: retweets, replies and mentions (in this study mentioningmeans inserting @username anywhere in the text of specific tweet). All three actions result in the soft-power ofinformation dissemination (i.e. the enhanced visibility of a message for an original user). The end result of theanimation shows hub accounts, which received multiple retweets, replies or mentions from their personal followers orthe followers of the specific hashtags. Hub accounts were, then, more influential in carrying messages, as opposed tothe non-hub accounts which failed to circulate.&rft.creator=Dr Mitchell John Hobbs&rft.date=2017&rft_rights=CC BY: Attribution 4.0 https://creativecommons.org/licenses/by/4.0/&rft_subject=Communication Studies&rft_subject=LANGUAGE, COMMUNICATION AND CULTURE&rft_subject=COMMUNICATION AND MEDIA STUDIES&rft.type=dataset&rft.language=English Access the data

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A Twitter scrape of 3,500 tweets in the TrISMA database that contained both #Carmichael + #Adani hashtags. Each
dot in this dynamic graph has a uniform size and represents a unique user account. The lines between accounts
represent relationships defined by three types of actions: retweets, replies and mentions (in this study "mentioning"
means inserting @username anywhere in the text of specific tweet). All three actions result in the soft-power of
information dissemination (i.e. the enhanced visibility of a message for an original user). The end result of the
animation shows hub accounts, which received multiple retweets, replies or mentions from their personal followers or
the followers of the specific hashtags. Hub accounts were, then, more influential in carrying messages, as opposed to
the non-hub accounts which failed to circulate.

Date Submitted : 25 06 2019

Created: 01 01 2017

Data time period: 01 01 2017 to 31 12 2017

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