Hostname: page-component-cd9895bd7-hc48f Total loading time: 0 Render date: 2024-12-26T16:34:03.668Z Has data issue: false hasContentIssue false
  • English
  • Français

Using Twitter to track immigration sentiment during early stages of the COVID-19 pandemic—ADDENDUM

Published online by Cambridge University Press:  04 April 2022

Francisco Rowe ,
Michael Mahony ,
Eduardo Graells-Garrido ,
Marzia Rango  and
Niklas Sievers

Abstract

An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.
Type
Addendum
Information
Data & Policy , Volume 4 , 2022 , e11
Check for updates
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press

The editors and publisher of Data & Policy have awarded the Open Data and Open Materials badges to this article Rowe F, et al. (Reference Rowe, Mahony, Graells-Garrido, Rango and Sievers2021).

Open Data Badge—indicates that data necessary to reproduce the reported results are available in an open access repository, under an open license, with an accompanying description of the data.

Open Materials Badge—indicates that any infrastructure, instruments, or equipment related to the reported methodology is available in an open access repository and is described in sufficient detail to allow a researcher to reproduce the procedure.

The original article has been updated to include the badges.

The Data Availability Statement has also been updated to link through to the Open Data and Materials.

References

Rowe, F, Mahony, M, Graells-Garrido, E, Rango, M and Sievers, N (2021) Using Twitter to track immigration sentiment during early stages of the COVID-19 pandemic. Data & Policy 3, E36. https://doi.org/10.1017/dap.2021.38CrossRefGoogle Scholar
Submit a response

Comments

No Comments have been published for this article.