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Characterizing engagement dynamics across topics on Facebook
Social media platforms heavily changed how users consume and digest information and, thus, how the popularity of topics evolves. In this paper, we explore the interplay between the virality of controversial topics and how they may trigger heated discussions and eventually increase users’ polarizatio...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10306180/ https://www.ncbi.nlm.nih.gov/pubmed/37379268 http://dx.doi.org/10.1371/journal.pone.0286150 |
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author | Etta, Gabriele Sangiorgio, Emanuele Di Marco, Niccolò Avalle, Michele Scala, Antonio Cinelli, Matteo Quattrociocchi, Walter |
author_facet | Etta, Gabriele Sangiorgio, Emanuele Di Marco, Niccolò Avalle, Michele Scala, Antonio Cinelli, Matteo Quattrociocchi, Walter |
author_sort | Etta, Gabriele |
collection | PubMed |
description | Social media platforms heavily changed how users consume and digest information and, thus, how the popularity of topics evolves. In this paper, we explore the interplay between the virality of controversial topics and how they may trigger heated discussions and eventually increase users’ polarization. We perform a quantitative analysis on Facebook by collecting ∼57M posts from ∼2M pages and groups between 2018 and 2022, focusing on engaging topics involving scandals, tragedies, and social and political issues. Using logistic functions, we quantitatively assess the evolution of these topics finding similar patterns in their engagement dynamics. Finally, we show that initial burstiness may predict the rise of users’ future adverse reactions regardless of the discussed topic. |
format | Online Article Text |
id | pubmed-10306180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-103061802023-06-29 Characterizing engagement dynamics across topics on Facebook Etta, Gabriele Sangiorgio, Emanuele Di Marco, Niccolò Avalle, Michele Scala, Antonio Cinelli, Matteo Quattrociocchi, Walter PLoS One Research Article Social media platforms heavily changed how users consume and digest information and, thus, how the popularity of topics evolves. In this paper, we explore the interplay between the virality of controversial topics and how they may trigger heated discussions and eventually increase users’ polarization. We perform a quantitative analysis on Facebook by collecting ∼57M posts from ∼2M pages and groups between 2018 and 2022, focusing on engaging topics involving scandals, tragedies, and social and political issues. Using logistic functions, we quantitatively assess the evolution of these topics finding similar patterns in their engagement dynamics. Finally, we show that initial burstiness may predict the rise of users’ future adverse reactions regardless of the discussed topic. Public Library of Science 2023-06-28 /pmc/articles/PMC10306180/ /pubmed/37379268 http://dx.doi.org/10.1371/journal.pone.0286150 Text en © 2023 Etta et al https://creativecommons.org/licenses/by/4.0/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 author and source are credited. |
spellingShingle | Research Article Etta, Gabriele Sangiorgio, Emanuele Di Marco, Niccolò Avalle, Michele Scala, Antonio Cinelli, Matteo Quattrociocchi, Walter Characterizing engagement dynamics across topics on Facebook |
title | Characterizing engagement dynamics across topics on Facebook |
title_full | Characterizing engagement dynamics across topics on Facebook |
title_fullStr | Characterizing engagement dynamics across topics on Facebook |
title_full_unstemmed | Characterizing engagement dynamics across topics on Facebook |
title_short | Characterizing engagement dynamics across topics on Facebook |
title_sort | characterizing engagement dynamics across topics on facebook |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10306180/ https://www.ncbi.nlm.nih.gov/pubmed/37379268 http://dx.doi.org/10.1371/journal.pone.0286150 |
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