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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...

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Detalles Bibliográficos
Autores principales: Etta, Gabriele, Sangiorgio, Emanuele, Di Marco, Niccolò, Avalle, Michele, Scala, Antonio, Cinelli, Matteo, Quattrociocchi, Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
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.
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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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