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Negativity Spreads More than Positivity on Twitter After Both Positive and Negative Political Situations
What type of emotional language spreads further in political discourses on social media? Previous research has focused on situations that primarily elicited negative emotions, showing that negative language tended to spread further. The current project extends existing knowledge by examining the spr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9383030/ https://www.ncbi.nlm.nih.gov/pubmed/36043036 http://dx.doi.org/10.1007/s42761-021-00057-7 |
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author | Schöne, Jonas Paul Parkinson, Brian Goldenberg, Amit |
author_facet | Schöne, Jonas Paul Parkinson, Brian Goldenberg, Amit |
author_sort | Schöne, Jonas Paul |
collection | PubMed |
description | What type of emotional language spreads further in political discourses on social media? Previous research has focused on situations that primarily elicited negative emotions, showing that negative language tended to spread further. The current project extends existing knowledge by examining the spread of emotional language in response to both predominantly positive and negative political situations. In Study 1, we examined the spread of emotional language in tweets related to the winning and losing parties in the 2016 US elections, finding that increased negativity (but not positivity) predicted content sharing in both situations. In Study 2, we compared the spread of emotional language in two separate situations: the celebration of the US Supreme Court approval of same-sex marriage (positive) and the Ferguson unrest (negative), finding again that negativity spread further. These results shed light on the nature of political discourse and engagement. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42761-021-00057-7. |
format | Online Article Text |
id | pubmed-9383030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-93830302022-08-29 Negativity Spreads More than Positivity on Twitter After Both Positive and Negative Political Situations Schöne, Jonas Paul Parkinson, Brian Goldenberg, Amit Affect Sci Research Article What type of emotional language spreads further in political discourses on social media? Previous research has focused on situations that primarily elicited negative emotions, showing that negative language tended to spread further. The current project extends existing knowledge by examining the spread of emotional language in response to both predominantly positive and negative political situations. In Study 1, we examined the spread of emotional language in tweets related to the winning and losing parties in the 2016 US elections, finding that increased negativity (but not positivity) predicted content sharing in both situations. In Study 2, we compared the spread of emotional language in two separate situations: the celebration of the US Supreme Court approval of same-sex marriage (positive) and the Ferguson unrest (negative), finding again that negativity spread further. These results shed light on the nature of political discourse and engagement. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42761-021-00057-7. Springer International Publishing 2021-10-12 /pmc/articles/PMC9383030/ /pubmed/36043036 http://dx.doi.org/10.1007/s42761-021-00057-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Schöne, Jonas Paul Parkinson, Brian Goldenberg, Amit Negativity Spreads More than Positivity on Twitter After Both Positive and Negative Political Situations |
title | Negativity Spreads More than Positivity on Twitter After Both Positive and Negative Political Situations |
title_full | Negativity Spreads More than Positivity on Twitter After Both Positive and Negative Political Situations |
title_fullStr | Negativity Spreads More than Positivity on Twitter After Both Positive and Negative Political Situations |
title_full_unstemmed | Negativity Spreads More than Positivity on Twitter After Both Positive and Negative Political Situations |
title_short | Negativity Spreads More than Positivity on Twitter After Both Positive and Negative Political Situations |
title_sort | negativity spreads more than positivity on twitter after both positive and negative political situations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9383030/ https://www.ncbi.nlm.nih.gov/pubmed/36043036 http://dx.doi.org/10.1007/s42761-021-00057-7 |
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