In the published article, there was an error in Table 1 as published. For the row of Number of Synchronized Users (URL), the value should be 10,350 and not 643,956. There was also a mistake in the caption, it should be “Dataset Statistics” and not “Datasets statistics.” The corrected Table 1 and its caption appear below.
Table 1
| 2020 dataset | 2023 dataset | |
|---|---|---|
| Event | Protests against crackdown on Islam | Protests against pension reforms |
| Collection timeframe | 3–9 Aug 2020 | 23 March – 5 April 2023 |
| Collection keywords | #frenchprotest2020, #charliehebdo | #frenchprotest2023, #pensionreformprotest |
| Number of tweets | 219,188 | 270,342 |
| Number of users | 219,435 | 124,031 |
| Number of synchronized users (URL) | 10,350 | 120,445 |
| Number of synchronized users (narratives) | 82,811 | 12,256 |
| Number of bots (%) | 37,318 (5.80%) | 29,196 (23.54%) |
Dataset statistics.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
bot detection, social media, synchronization, coordination, network analysis, narrative analysis
Citation
Ng LHX and Carley KM (2023) Corrigendum: Do you hear the people sing? Comparison of synchronized URL and narrative themes in 2020 and 2023 French protests. Front. Big Data 6:1343108. doi: 10.3389/fdata.2023.1343108
Received
23 November 2023
Accepted
29 November 2023
Published
12 December 2023
Volume
6 - 2023
Edited and reviewed by
Tim Weninger, University of Notre Dame, United States
Updates
Copyright
© 2023 Ng and Carley.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Lynnette Hui Xian Ng lynnetteng@cmu.edu
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.