Data

Visualisations for China’s news media tweeting, competing with US source

The University of Sydney
Nip, Joyce ; Sun, Chao
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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:doi10.4227/11/5af26eb0e787d&rft.title=Visualisations for China State Media Twitter Theme&rft.identifier=10.4227/11/5af26eb0e787d &rft.publisher=The University of Sydney&rft.description=This dataset includes six figures used for the journal paper that paper examines China's recent initiative on international social media and assesses its effectiveness in counteracting Western dominance in international communication. The figures are interactive D3.JS visualisations written in javascript and displayed in html files. The intention of uploading this dataset is enabling the readers of the paper to be able to access this tool for better understanding of the methodology described in the paper.&rft.creator=Nip, Joyce &rft.creator=Sun, Chao &rft.date=2018&rft.relation=https://doi.org/10.16997/wpcc.292&rft.coverage=CN&rft_rights= The University of Sydney&rft_rights=Creative Common Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/&rft_subject=Communication Technology and Digital Media Studies&rft_subject=LANGUAGE, COMMUNICATION AND CULTURE&rft_subject=COMMUNICATION AND MEDIA STUDIES&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Creative Common Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/

The University of Sydney

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Brief description

This dataset includes six figures used for the journal paper that paper examines China's recent initiative on international social media and assesses its effectiveness in counteracting Western dominance in international communication. The figures are interactive D3.JS visualisations written in javascript and displayed in html files. The intention of uploading this dataset is enabling the readers of the paper to be able to access this tool for better understanding of the methodology described in the paper.

Date Submitted : 08 05 2018

Data time period: 01 12 2016 to 24 10 2017

This dataset is part of a larger collection

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Spatial Coverage And Location

iso31661: CN

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