Gendered COVID-19 discussions on Twitter: a Norwegian case

Author:

Arora SanjanaORCID,Debesay Jonas,Eslen-Ziya HandeORCID

Abstract

PurposeThe COVID-19 pandemic has resurfaced challenges to gender equality and gender relations both worldwide and in Norway. There have been massive public discussions on social media platforms, highlighting the potential of analysing public discourses in a non-reactive manner (Rauchfleisch et al., 2021). Further, discourses from social media may affect cultural representations and broad discourses in society (Rambukkana, 2015), such as that related to gender. In this article, by studying the Norwegian Twitter users' discussion on gender as related to COVID-19 pandemic, the authors will examine the everyday gendered discourses.Design/methodology/approachData for this project were collected from the social media platform Twitter. The authors conducted the search on 16th November 2020, and that resulted in a total of 485 results, inclusive of both original tweets and replies. The data were analysed qualitatively using thematic analysis.FindingsThe thematic analysis of the tweets revealed three main categories which were mirrored in recognisable and widespread discourses about gender: (1) stereotypical gendered behaviours, (2) construction of masculinities and (3) othering. The authors argued that the stereotypes on gendered behaviour, traits and ideology together attribute to the maintenance of unequal gender structures.Originality/valueThis article explored discourses on gender on Twitter, the networked public sphere of Norway during the COVID-19 pandemic. Given that discourses both reflect and shape social configurations, they have the power to shape gender realities. With the transcendence of social media across geographic boundaries, the authors’ findings are relevant both for Norway and globally.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2022-0482

Publisher

Emerald

Subject

Library and Information Sciences,Computer Science Applications,Information Systems

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3