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Identifying Hate Speech and Attribution of Responsibility: An Analysis of Simulated WhatsApp Conversations during the Pandemic

Background: During the COVID-19 pandemic, public confrontations between people who had agreed to be vaccinated and those who had not, highlighted the relevance of the deepening dissemination of violent and discriminatory expressions and determined a level of perception of hate discourses. Method: A...

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Autores principales: Palazón-Fernández, José Luis, Mata-Perez, Concepción, Gilart, Ester, Cotobal Calvo, Eva Manuela, Cruz-Barrientos, Alberto, Bocchino, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252467/
https://www.ncbi.nlm.nih.gov/pubmed/37297704
http://dx.doi.org/10.3390/healthcare11111564
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author Palazón-Fernández, José Luis
Mata-Perez, Concepción
Gilart, Ester
Cotobal Calvo, Eva Manuela
Cruz-Barrientos, Alberto
Bocchino, Anna
author_facet Palazón-Fernández, José Luis
Mata-Perez, Concepción
Gilart, Ester
Cotobal Calvo, Eva Manuela
Cruz-Barrientos, Alberto
Bocchino, Anna
author_sort Palazón-Fernández, José Luis
collection PubMed
description Background: During the COVID-19 pandemic, public confrontations between people who had agreed to be vaccinated and those who had not, highlighted the relevance of the deepening dissemination of violent and discriminatory expressions and determined a level of perception of hate discourses. Method: A cross-sectional observational study was carried out, based on an innovative methodology: simulations of WhatsApp conversations. In addition, the following variables were considered among others: level of empathy, personality traits and conflict resolution. Results: The participants were 567 nursing students (413 females, 153 males and 1 person who did not identify with any gender). The results showed that, for the most part, the participants correctly identified hate speech, but were unable to discern the frame of reference. Conclusions: It is necessary to implement intervention strategies to minimize the impact of hate speech, which continues to be used on many levels to harass others, justify violence or undermine rights, generating an environment of prejudice and intolerance that encourages discrimination and violent attacks against certain individuals or collectives.
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spelling pubmed-102524672023-06-10 Identifying Hate Speech and Attribution of Responsibility: An Analysis of Simulated WhatsApp Conversations during the Pandemic Palazón-Fernández, José Luis Mata-Perez, Concepción Gilart, Ester Cotobal Calvo, Eva Manuela Cruz-Barrientos, Alberto Bocchino, Anna Healthcare (Basel) Article Background: During the COVID-19 pandemic, public confrontations between people who had agreed to be vaccinated and those who had not, highlighted the relevance of the deepening dissemination of violent and discriminatory expressions and determined a level of perception of hate discourses. Method: A cross-sectional observational study was carried out, based on an innovative methodology: simulations of WhatsApp conversations. In addition, the following variables were considered among others: level of empathy, personality traits and conflict resolution. Results: The participants were 567 nursing students (413 females, 153 males and 1 person who did not identify with any gender). The results showed that, for the most part, the participants correctly identified hate speech, but were unable to discern the frame of reference. Conclusions: It is necessary to implement intervention strategies to minimize the impact of hate speech, which continues to be used on many levels to harass others, justify violence or undermine rights, generating an environment of prejudice and intolerance that encourages discrimination and violent attacks against certain individuals or collectives. MDPI 2023-05-26 /pmc/articles/PMC10252467/ /pubmed/37297704 http://dx.doi.org/10.3390/healthcare11111564 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Palazón-Fernández, José Luis
Mata-Perez, Concepción
Gilart, Ester
Cotobal Calvo, Eva Manuela
Cruz-Barrientos, Alberto
Bocchino, Anna
Identifying Hate Speech and Attribution of Responsibility: An Analysis of Simulated WhatsApp Conversations during the Pandemic
title Identifying Hate Speech and Attribution of Responsibility: An Analysis of Simulated WhatsApp Conversations during the Pandemic
title_full Identifying Hate Speech and Attribution of Responsibility: An Analysis of Simulated WhatsApp Conversations during the Pandemic
title_fullStr Identifying Hate Speech and Attribution of Responsibility: An Analysis of Simulated WhatsApp Conversations during the Pandemic
title_full_unstemmed Identifying Hate Speech and Attribution of Responsibility: An Analysis of Simulated WhatsApp Conversations during the Pandemic
title_short Identifying Hate Speech and Attribution of Responsibility: An Analysis of Simulated WhatsApp Conversations during the Pandemic
title_sort identifying hate speech and attribution of responsibility: an analysis of simulated whatsapp conversations during the pandemic
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10252467/
https://www.ncbi.nlm.nih.gov/pubmed/37297704
http://dx.doi.org/10.3390/healthcare11111564
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