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社交媒体上反口罩和反封锁运动的性别层面。

The gendered dimensions of the anti-mask and anti-lockdown movement on social media.

作者信息

Al-Rawi Ahmed, Siddiqi Maliha, Wenham Clare, Smith Julia

机构信息

Simon Fraser University, 8888 University Dr., Burnaby, BC V5A 1S6 Canada.

London School of Economics and Political Science, Houghton St, London, WC2A 2AE UK.

出版信息

Humanit Soc Sci Commun. 2022;9(1):418. doi: 10.1057/s41599-022-01442-8. Epub 2022 Nov 26.

Abstract

This paper examines the anti-mask and anti-lockdown online movement in connection to the COVID-19 pandemic. To combat the spread of the coronavirus, health officials around the world urged and/or mandated citizens to wear facemasks and adopt physical distancing measures. These health policies and guidelines have become highly politicized in some parts of the world, often discussed in association with freedom of choice and independence. We downloaded references to the anti-mask and anti-lockdown social media posts using 24 search terms. From a total of 4209 social media posts, the researchers manually filtered the explicit visual and textual content that is related to discussions of different genders. We used multimodal discourse analysis (MDM) which analyzes diverse modes of communicative texts and images and focuses on appeals to emotions and reasoning. Using the MDM approach, we analysed posts taken from Facebook and Instagram from active anti-mask and anti-lockdown users, and we identified three main discourses around the gendered discussion of the anti-mask movement including hypermasculine, sexist and pejorative portrayals of "Karen", and appropriating freedom and feminism discourses. A better understanding of how social media users evoke gendered discourses to spread anti-mask and anti-lockdown messages can help researchers identify differing reactions toward pandemic measures.

摘要

本文探讨了与新冠疫情相关的反口罩和反封锁线上运动。为抗击新冠病毒传播,世界各地的卫生官员敦促和/或强制民众佩戴口罩并采取社交距离措施。在世界某些地区,这些卫生政策和指导方针已高度政治化,常与选择自由和独立联系在一起讨论。我们使用24个搜索词下载了反口罩和反封锁社交媒体帖子的相关参考资料。从总共4209条社交媒体帖子中,研究人员手动筛选出与不同性别讨论相关的明确视觉和文本内容。我们使用多模态话语分析(MDM),该方法分析交际文本和图像的多种模式,并侧重于对情感和推理的诉求。使用MDM方法,我们分析了来自活跃的反口罩和反封锁用户在脸书和照片墙(Instagram)上发布的帖子,并确定了围绕反口罩运动性别化讨论的三种主要话语,包括对“凯伦”的过度男性化、性别歧视和贬损性描绘,以及挪用自由和女权主义话语。更好地理解社交媒体用户如何唤起性别化话语来传播反口罩和反封锁信息,有助于研究人员识别对疫情措施的不同反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b26/9702959/df949a29a472/41599_2022_1442_Fig1_HTML.jpg

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