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Do you hear the people sing? Comparison of synchronized URL and narrative themes in 2020 and 2023 French protests
INTRODUCTION: France has seen two key protests within the term of President Emmanuel Macron: one in 2020 against Islamophobia, and another in 2023 against the pension reform. During these protests, there is much chatter on online social media platforms like Twitter. METHODS: In this study, we aim to...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483998/ https://www.ncbi.nlm.nih.gov/pubmed/37693848 http://dx.doi.org/10.3389/fdata.2023.1221744 |
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author | Ng, Lynnette Hui Xian Carley, Kathleen M. |
author_facet | Ng, Lynnette Hui Xian Carley, Kathleen M. |
author_sort | Ng, Lynnette Hui Xian |
collection | PubMed |
description | INTRODUCTION: France has seen two key protests within the term of President Emmanuel Macron: one in 2020 against Islamophobia, and another in 2023 against the pension reform. During these protests, there is much chatter on online social media platforms like Twitter. METHODS: In this study, we aim to analyze the differences between the online chatter of the 2 years through a network-centric view, and in particular the synchrony of users. This study begins by identifying groups of accounts that work together through two methods: temporal synchronicity and narrative similarity. We also apply a bot detection algorithm to identify bots within these networks and analyze the extent of inorganic synchronization within the discourse of these events. RESULTS: Overall, our findings suggest that the synchrony of users in 2020 on Twitter is much higher than that of 2023, and there are more bot activity in 2020 compared to 2023. |
format | Online Article Text |
id | pubmed-10483998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104839982023-09-08 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. Front Big Data Big Data INTRODUCTION: France has seen two key protests within the term of President Emmanuel Macron: one in 2020 against Islamophobia, and another in 2023 against the pension reform. During these protests, there is much chatter on online social media platforms like Twitter. METHODS: In this study, we aim to analyze the differences between the online chatter of the 2 years through a network-centric view, and in particular the synchrony of users. This study begins by identifying groups of accounts that work together through two methods: temporal synchronicity and narrative similarity. We also apply a bot detection algorithm to identify bots within these networks and analyze the extent of inorganic synchronization within the discourse of these events. RESULTS: Overall, our findings suggest that the synchrony of users in 2020 on Twitter is much higher than that of 2023, and there are more bot activity in 2020 compared to 2023. Frontiers Media S.A. 2023-08-24 /pmc/articles/PMC10483998/ /pubmed/37693848 http://dx.doi.org/10.3389/fdata.2023.1221744 Text en Copyright © 2023 Ng and Carley. https://creativecommons.org/licenses/by/4.0/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. |
spellingShingle | Big Data Ng, Lynnette Hui Xian Carley, Kathleen M. Do you hear the people sing? Comparison of synchronized URL and narrative themes in 2020 and 2023 French protests |
title | Do you hear the people sing? Comparison of synchronized URL and narrative themes in 2020 and 2023 French protests |
title_full | Do you hear the people sing? Comparison of synchronized URL and narrative themes in 2020 and 2023 French protests |
title_fullStr | Do you hear the people sing? Comparison of synchronized URL and narrative themes in 2020 and 2023 French protests |
title_full_unstemmed | Do you hear the people sing? Comparison of synchronized URL and narrative themes in 2020 and 2023 French protests |
title_short | Do you hear the people sing? Comparison of synchronized URL and narrative themes in 2020 and 2023 French protests |
title_sort | do you hear the people sing? comparison of synchronized url and narrative themes in 2020 and 2023 french protests |
topic | Big Data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483998/ https://www.ncbi.nlm.nih.gov/pubmed/37693848 http://dx.doi.org/10.3389/fdata.2023.1221744 |
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