Online extremism and Islamophobic language and sentiment when discussing the COVID-19 pandemic and misinformation on Twitter

被引:5
作者
Awan, Imran [1 ]
Carter, Pelham [1 ]
Sutch, Hollie [1 ]
Lally, Harkereet [1 ]
机构
[1] Birmingham City Univ, Faulty Business Law & Social Sci, Dept Social Sci, Birmingham, England
基金
英国经济与社会研究理事会;
关键词
Islamophobia; COVID-19; Muslim; Islam; hate crime; online; SOCIAL MEDIA; POLARIZATION; CONFORMITY; ANONYMITY;
D O I
10.1080/01419870.2022.2146449
中图分类号
C95 [民族学、文化人类学];
学科分类号
0304 ; 030401 ;
摘要
This paper looks at the profiles of those who engaged in Islamophobic language/extremist behaviour on Twitter during the COVID-19 pandemic. This two-part analysis takes into account factors such as anonymity, membership length and postage frequency on language use, and the differences in sentiment expressed between pro-social and anti-social tweets. Analysis includes comparisons between low, moderate and high levels of anonymity, postage frequency and membership length, allowing for differences in keyword use to be explored. Our findings suggest that increased anonymity is not associated with an increase in Islamophobic language and misinformation. The sentiment analysis indicated that emotions such as anger, disgust, fear, sadness and trust were significantly more associated with pro-social Twitter users whereas sentiments such as anticipation, joy and surprise were significantly more associated with anti-social Twitter users. In some cases, evidence for joy in the suffering of others as a result of the pandemic was expressed.
引用
收藏
页码:1407 / 1436
页数:30
相关论文
共 91 条
  • [1] Akcakaya A., 2021, PROBLEMS HEALTHCARE
  • [3] Impacts of Rumors and Conspiracy Theories Surrounding COVID-19 on Preparedness Programs
    Ali, Inayat
    [J]. DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS, 2022, 16 (01) : 310 - 315
  • [4] Friendship: An old concept with a new meaning?
    Amichai-Hamburger, Yair
    Kingsbury, Mila
    Schneider, Barry H.
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2013, 29 (01) : 33 - 39
  • [5] The proximal origin of SARS-CoV-2
    Andersen, Kristian G.
    Rambaut, Andrew
    Lipkin, W. Ian
    Holmes, Edward C.
    Garry, Robert F.
    [J]. NATURE MEDICINE, 2020, 26 (04) : 450 - 452
  • [6] [Anonymous], 2020, Half of UK adults exposed to false claims about Coronavirus
  • [7] Anthony L., 2018, AntConc Version 3.5.7
  • [8] Anthony L., 2004, ANTCONC LEARNER CLAS
  • [9] Fake news and COVID-19: modelling the predictors of fake news sharing among social media users
    Apuke, Oberiri Destiny
    Omar, Bahiyah
    [J]. TELEMATICS AND INFORMATICS, 2021, 56
  • [10] Awan, 2021, COVID 19 WHAT ARE DR