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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.5281/zenodo...
Dataset . 2022
License: CC BY
Data sources: Sygma
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Classifying COVID-19 vaccine narratives

Research datakeyboard_double_arrow_right Dataset 01 Dec 2022 English Publisher:ZenodoFunded by:EC | SoBigData-PlusPlus
Authors: Yue, Li; Scarton Carolina; Xingyi, Song; Bontcheva Kalina;

doi: 10.5281/zenodo.8192131 , 10.5281/zenodo.8192130

Classifying COVID-19 vaccine narratives

Abstract

We release the augmented Twitter dataset of 355 vaccine-related narratives, created for the following paper. The tweets are labelled as one of four classes: Conspiracy (Cons), Moral, Religious, and Ethical Concerns (MRE), Liberties and Freedom (LF), and Animal Vaccines (AnimalVac). @article{li2022classifying, title={Classifying COVID-19 vaccine narratives}, author={Li, Yue and Scarton, Carolina and Song, Xingyi and Bontcheva, Kalina}, journal={arXiv preprint arXiv:2207.08522}, year={2022} } The paper has been accepted by RANLP 2023.

This research is also supported by a University of Sheffield QR SPF Grant

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Twitter Data

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
3
4
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Corona Virus Disease
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