Published on in Vol 24, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37841, first published .
Correction: COVID-19 Vaccine Tweets After Vaccine Rollout: Sentiment–Based Topic Modeling

Correction: COVID-19 Vaccine Tweets After Vaccine Rollout: Sentiment–Based Topic Modeling

Correction: COVID-19 Vaccine Tweets After Vaccine Rollout: Sentiment–Based Topic Modeling

Corrigenda and Addenda

1Fowler College of Business, San Diego State University, San Diego, CA, United States

2Center for Human Dynamics in the Mobile Age, San Diego State University, San Diego, CA, United States

3The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

4University of Chinese Academy of Sciences, Beijing, China

Corresponding Author:

Saike He, PhD

The State Key Laboratory of Management and Control for Complex Systems

Institute of Automation

Chinese Academy of Sciences

95 Zhongguancun East Road, Haidian District

Beijing, 100190

China

Phone: 86 (010)82544537

Email: saike.he@ia.ac.cn



In “COVID-19 Vaccine Tweets After Vaccine Rollout: Sentiment–Based Topic Modeling” (J Med Internet Res 2022;24(2):e31726) the authors noted one error.

In the originally published paper, Figure 8D showed incorrect colors. The top line was intended to be blue, and the bottom line was intended to be red.

In the corrected version of the paper, Figure 8D has been revised as follows: the top line is now blue, and the bottom line is now red. The correct figure is provided below. The originally published Figure 8 is in Multimedia Appendix 1.

The correction will appear in the online version of the paper on the JMIR Publications website on March 11, 2022, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

Figure 8. Daily average positive and negative sentiment scores for (a) Johnson & Johnson, (b) AstraZeneca, (c) Pfizer, and (d) Moderna vaccines and sentiment trends for (e) Johnson & Johnson, (f) AstraZeneca, (g) Pfizer, and (h) Moderna vaccines.
View this figure
Multimedia Appendix 1

The previously published Figure 8.

PNG File , 502 KB

Edited by G Eysenbach; This is a non–peer-reviewed article. submitted 08.03.22; accepted 09.03.22; published 11.03.22

Copyright

©Luwen Huangfu, Yiwen Mo, Peijie Zhang, Daniel Dajun Zeng, Saike He. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 11.03.2022.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.