Tweet valence, volume of abuse, and observers’ dark tetrad personality factors influence victim-blaming and the perceived severity of twitter cyberabuse

Previous research into Twitter cyberabuse has yielded several findings: victim-blaming (VB) was influenced by victims’ initial tweet-valence; perceived severity (PS) was influenced independently by tweet valence and abuse volume; VB and PS were predicted by observer narcissism and psychopathy. Howev...

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Autores principales:	Christopher J. Hand, Graham G. Scott, Zara P. Brodie, Xilei Ye, Sara C. Sereno
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Cyberbullying Dark triad Sadism Twitter Victim blame Warranting theory Electronic computers. Computer science QA75.5-76.95 Psychology BF1-990
Acceso en línea:	https://doaj.org/article/4dfc842814354692916d0309cbfeba84
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spelling	oai:doaj.org-article:4dfc842814354692916d0309cbfeba842021-12-01T05:03:43ZTweet valence, volume of abuse, and observers’ dark tetrad personality factors influence victim-blaming and the perceived severity of twitter cyberabuse2451-958810.1016/j.chbr.2021.100056https://doaj.org/article/4dfc842814354692916d0309cbfeba842021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S245195882100004Xhttps://doaj.org/toc/2451-9588Previous research into Twitter cyberabuse has yielded several findings: victim-blaming (VB) was influenced by victims’ initial tweet-valence; perceived severity (PS) was influenced independently by tweet valence and abuse volume; VB and PS were predicted by observer narcissism and psychopathy. However, this previous research was limited by its narrow focus on celebrity victims, and lack of consideration of observer sadism. The current study investigated 125 observers’ VB and PS perceptions of lay-user cyberabuse, and influence of observers’ Dark Tetrad scores (psychopathy, narcissism, Machiavellianism, sadism). We manipulated initial-tweet valence (negative, neutral, positive) and received abuse volume (low, high). Our results indicated that VB was highest following negative initial tweets; VB was higher following high-volume abuse. PS did not differ across initial-tweet valences; PS was greater following a high abuse volume. Regression analyses revealed that observer sadism predicted VB across initial-tweet valences; psychopathy predicted PS when initial tweets were ‘emotive’ (negative, positive), whereas Machiavellianism predicted PS when they were neutral. Our results show that perceptions of lay-user abuse are influenced interactively by victim-generated content and received abuse volume. Our current results contrast with perceptions of celebrity-abuse, which is mostly determined by victim-generated content. Findings are contextualised within the Warranting Theory of impression formation.Christopher J. HandGraham G. ScottZara P. BrodieXilei YeSara C. SerenoElsevierarticleCyberbullyingDark triadSadismTwitterVictim blameWarranting theoryElectronic computers. Computer scienceQA75.5-76.95PsychologyBF1-990ENComputers in Human Behavior Reports, Vol 3, Iss , Pp 100056- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Cyberbullying Dark triad Sadism Twitter Victim blame Warranting theory Electronic computers. Computer science QA75.5-76.95 Psychology BF1-990
spellingShingle	Cyberbullying Dark triad Sadism Twitter Victim blame Warranting theory Electronic computers. Computer science QA75.5-76.95 Psychology BF1-990 Christopher J. Hand Graham G. Scott Zara P. Brodie Xilei Ye Sara C. Sereno Tweet valence, volume of abuse, and observers’ dark tetrad personality factors influence victim-blaming and the perceived severity of twitter cyberabuse
description	Previous research into Twitter cyberabuse has yielded several findings: victim-blaming (VB) was influenced by victims’ initial tweet-valence; perceived severity (PS) was influenced independently by tweet valence and abuse volume; VB and PS were predicted by observer narcissism and psychopathy. However, this previous research was limited by its narrow focus on celebrity victims, and lack of consideration of observer sadism. The current study investigated 125 observers’ VB and PS perceptions of lay-user cyberabuse, and influence of observers’ Dark Tetrad scores (psychopathy, narcissism, Machiavellianism, sadism). We manipulated initial-tweet valence (negative, neutral, positive) and received abuse volume (low, high). Our results indicated that VB was highest following negative initial tweets; VB was higher following high-volume abuse. PS did not differ across initial-tweet valences; PS was greater following a high abuse volume. Regression analyses revealed that observer sadism predicted VB across initial-tweet valences; psychopathy predicted PS when initial tweets were ‘emotive’ (negative, positive), whereas Machiavellianism predicted PS when they were neutral. Our results show that perceptions of lay-user abuse are influenced interactively by victim-generated content and received abuse volume. Our current results contrast with perceptions of celebrity-abuse, which is mostly determined by victim-generated content. Findings are contextualised within the Warranting Theory of impression formation.
format	article
author	Christopher J. Hand Graham G. Scott Zara P. Brodie Xilei Ye Sara C. Sereno
author_facet	Christopher J. Hand Graham G. Scott Zara P. Brodie Xilei Ye Sara C. Sereno
author_sort	Christopher J. Hand
title	Tweet valence, volume of abuse, and observers’ dark tetrad personality factors influence victim-blaming and the perceived severity of twitter cyberabuse
title_short	Tweet valence, volume of abuse, and observers’ dark tetrad personality factors influence victim-blaming and the perceived severity of twitter cyberabuse
title_full	Tweet valence, volume of abuse, and observers’ dark tetrad personality factors influence victim-blaming and the perceived severity of twitter cyberabuse
title_fullStr	Tweet valence, volume of abuse, and observers’ dark tetrad personality factors influence victim-blaming and the perceived severity of twitter cyberabuse
title_full_unstemmed	Tweet valence, volume of abuse, and observers’ dark tetrad personality factors influence victim-blaming and the perceived severity of twitter cyberabuse
title_sort	tweet valence, volume of abuse, and observers’ dark tetrad personality factors influence victim-blaming and the perceived severity of twitter cyberabuse
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/4dfc842814354692916d0309cbfeba84
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Tweet valence, volume of abuse, and observers’ dark tetrad personality factors influence victim-blaming and the perceived severity of twitter cyberabuse

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