Dataset

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

The University of Sydney
Dr Joyce Nip (Principal investigator) Dr Chao Sun (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
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’s news media tweeting, competing with US source&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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Open

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

Click to explore relationships graph

134.7754563,53.5609739 134.7754563,17.9996 73.4994136,17.9996 73.4994136,53.5609739 134.7754563,53.5609739

104.13743495,35.78028695

iso31661: CN

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