Front. Big Data Frontiers in Big Data Front. Big Data 2624-909X Frontiers Media S.A. 10.3389/fdata.2023.1343108 Big Data Correction Corrigendum: Do you hear the people sing? Comparison of synchronized URL and narrative themes in 2020 and 2023 French protests Ng Lynnette Hui Xian * Carley Kathleen M. IDeaS, Software and Societal Systems, Carnegie Mellon University, Pittsburgh, PA, United States

Edited and reviewed by: Tim Weninger, University of Notre Dame, United States

 *Correspondence: Lynnette Hui Xian Ng lynnetteng@cmu.edu 12 12 2023 2023 6 1343108 23 11 2023 29 11 2023 Copyright © 2023 Ng and Carley. 2023 Ng and Carley

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 A Commentary on Do you hear the people sing? Comparison of synchronized URL and narrative themes in 2020 and 2023 French protests by Ng, L. H. X., and Carley, K. M. (2023). Front. Big Data 6:1221744. doi: 10.3389/fdata.2023.1221744 bot detection social media synchronization coordination network analysis narrative analysis section-at-acceptance Data Science

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.

Dataset statistics.

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%)

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.

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