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Negative expressions are shared more on Twitter for public figures than for ordinary users

Social media users tend to produce content that contains more positive than negative emotional language. However, negative emotional language is more likely to be shared. To understand why, research has thus far focused on psychological processes associated with tweets' content. In the current...

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Detalles Bibliográficos
Autores principales: Schöne, Jonas P, Garcia, David, Parkinson, Brian, Goldenberg, Amit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338895/
https://www.ncbi.nlm.nih.gov/pubmed/37457891
http://dx.doi.org/10.1093/pnasnexus/pgad219
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author Schöne, Jonas P
Garcia, David
Parkinson, Brian
Goldenberg, Amit
author_facet Schöne, Jonas P
Garcia, David
Parkinson, Brian
Goldenberg, Amit
author_sort Schöne, Jonas P
collection PubMed
description Social media users tend to produce content that contains more positive than negative emotional language. However, negative emotional language is more likely to be shared. To understand why, research has thus far focused on psychological processes associated with tweets' content. In the current study, we investigate if the content producer influences the extent to which their negative content is shared. More specifically, we focus on a group of users that are central to the diffusion of content on social media—public figures. We found that an increase in negativity was associated with a stronger increase in sharing for public figures compared to ordinary users. This effect was explained by two user characteristics, the number of followers and thus the strength of ties and the proportion of political tweets. The results shed light on whose negativity is most viral, allowing future research to develop interventions aimed at mitigating overexposure to negative content.
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spelling pubmed-103388952023-07-14 Negative expressions are shared more on Twitter for public figures than for ordinary users Schöne, Jonas P Garcia, David Parkinson, Brian Goldenberg, Amit PNAS Nexus Social and Political Sciences Social media users tend to produce content that contains more positive than negative emotional language. However, negative emotional language is more likely to be shared. To understand why, research has thus far focused on psychological processes associated with tweets' content. In the current study, we investigate if the content producer influences the extent to which their negative content is shared. More specifically, we focus on a group of users that are central to the diffusion of content on social media—public figures. We found that an increase in negativity was associated with a stronger increase in sharing for public figures compared to ordinary users. This effect was explained by two user characteristics, the number of followers and thus the strength of ties and the proportion of political tweets. The results shed light on whose negativity is most viral, allowing future research to develop interventions aimed at mitigating overexposure to negative content. Oxford University Press 2023-07-06 /pmc/articles/PMC10338895/ /pubmed/37457891 http://dx.doi.org/10.1093/pnasnexus/pgad219 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of National Academy of Sciences. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Social and Political Sciences
Schöne, Jonas P
Garcia, David
Parkinson, Brian
Goldenberg, Amit
Negative expressions are shared more on Twitter for public figures than for ordinary users
title Negative expressions are shared more on Twitter for public figures than for ordinary users
title_full Negative expressions are shared more on Twitter for public figures than for ordinary users
title_fullStr Negative expressions are shared more on Twitter for public figures than for ordinary users
title_full_unstemmed Negative expressions are shared more on Twitter for public figures than for ordinary users
title_short Negative expressions are shared more on Twitter for public figures than for ordinary users
title_sort negative expressions are shared more on twitter for public figures than for ordinary users
topic Social and Political Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338895/
https://www.ncbi.nlm.nih.gov/pubmed/37457891
http://dx.doi.org/10.1093/pnasnexus/pgad219
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