Toxicity and verbal aggression on social media: Polarized discourse on wearing face masks during the COVID-19 pandemic

被引:48
作者
Pascual-Ferra, Paola [1 ]
Alperstein, Neil [1 ]
Barnett, Daniel J. [2 ]
Rimal, Rajiv N. [3 ]
机构
[1] Loyola Univ Maryland, Dept Commun, 4501 N Charles St, Baltimore, MD 21210 USA
[2] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Environm Hlth & Engn, Baltimore, MD USA
[3] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Hlth Behav & Soc, Baltimore, MD USA
来源
BIG DATA & SOCIETY | 2021年 / 8卷 / 01期
关键词
COVID-19; infodemic; social media; toxicity; verbal aggression; NARCISSISM; NORMS;
D O I
10.1177/20539517211023533
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
Medical and public health professionals recommend wearing face masks to combat the spread of the coronavirus disease of 2019 (COVID-19). While the majority of people in the United States support wearing face masks as an effective tool to combat COVID-19, a smaller percentage declared the recommendation by public health agencies as a government imposition and an infringement on personal liberty. Social media play a significant role in amplifying public health issues, whereby a minority against the imposition can speak loudly, perhaps using tactics of verbal aggression taking the form of toxic language. We investigated the role that toxicity plays in the online discourse around wearing face masks. Overall, we found tweets including anti-mask hashtags were significantly more likely to use toxic language, while tweets with pro-mask hashtags were somewhat less toxic with the exception of #WearADamnMask. We conclude that the tensions between these two positions raise doubt and uncertainty around the issue, which make it difficult for health communicators to break through the clutter in order to combat the infodemic. Public health agencies and other governmental institutions should monitor toxicity trends on social media in order to better ascertain prevailing sentiment toward their recommendations and then apply these data-driven insights to refine and adapt their risk communication messaging toward mask wearing, vaccine uptake, and other interventions.
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页数:17
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共 66 条
  • [1] Allport F., 1924, SOC PSYCHOL-GERMANY
  • [2] Detecting Toxicity Triggers in Online Discussions
    Almerekhi, Hind
    Kwak, Haewoon
    Jansen, Bernard J.
    Salminen, Joni
    [J]. PROCEEDINGS OF THE 30TH ACM CONFERENCE ON HYPERTEXT AND SOCIAL MEDIA (HT '19), 2019, : 291 - 292
  • [3] American Medical Association, 2020, AMA AHA ANA OP LETT
  • [4] American Public Health Association, 2020, STOP SPREAD SHOW YOU
  • [5] [Anonymous], 2020, Coronavi. Disease (COVID 19) Advice for the Public [E13/0E]
  • [6] Aratani L., 2020, THE GUARDIAN 0629
  • [7] Awal M.R., 2020, ANAL ANTISOCIAL BEHA
  • [8] Bennett JT., 2020, THE INDEPENDENT 0923
  • [9] Biggers L., 2020, WEAR FACE MASK PROTE
  • [10] Non-normal data: Is ANOVA still a valid option?
    Blanca, Maria J.
    Alarcon, Rafael
    Arnau, Jaume
    Bono, Roser
    Bendayan, Rebecca
    [J]. PSICOTHEMA, 2017, 29 (04) : 552 - 557