#ActuallyAutistic: Using Twitter to Construct Individual and Collective Identity Narratives

IF 1.4 Q2 POLITICAL SCIENCE
Justine E. Egner
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引用次数: 4

Abstract

Employing Critical Autism Studies and Narrative Analysis, this project examines how autistic Twitter users engage in narrative meaning-making through social media. By analyzing the hashtags #ActuallyAutistic and #AskingAutistics this project broadly explores how individuals construct identity when lacking access to positive representations and identity communities. Answering the research question, “How do autistic people construct individual and collective identity narratives through Twitter?,” findings indicate that autistic Twitter users use their social media presence to build virtual learning communities. Common knowledge about autism is often oversimplified and highly medicalized. Therefore, autistics use Twitter to make meaning of their experiences that are not represented within cultural notions of what it means to be autistic. Autistic Twitter users reject medicalized narratives by contesting stereotypes, flipping negative narratives into positive stories, re-inscribing “deficiencies” as beneficial, and resisting rehabilitation and “cure.” Users do important social activist work by building strong autistic communities in ways that counter current negative representation, constructing positive self-affirming individual and community identities and resisting eugenic notions that autistic people are “less valuable.”
#ActuallyAutistic:利用Twitter构建个人和集体身份叙事
该项目采用批判性自闭症研究和叙事分析,研究自闭症Twitter用户如何通过社交媒体参与叙事意义制造。通过分析#ActuallyAutistic和# askingautistic标签,该项目广泛探讨了个体在缺乏积极表征和身份社区的情况下如何构建身份。回答研究问题,“自闭症患者如何通过Twitter构建个人和集体身份叙事?”研究结果表明,自闭症推特用户使用他们的社交媒体存在来建立虚拟学习社区。关于自闭症的常识常常被过度简化和高度医学化。因此,自闭症患者使用Twitter来理解他们的经历,而这些经历在自闭症的文化观念中没有得到体现。自闭症推特用户通过挑战刻板印象、将负面叙述转化为正面故事、将“缺陷”重新定义为有益、抵制康复和“治愈”来拒绝医学化的叙述。用户通过建立强大的自闭症社区来对抗当前的负面表现,构建积极的自我肯定的个人和社区身份,并抵制自闭症患者“不那么有价值”的优生学观念,从而开展了重要的社会活动。
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来源期刊
Studies in Social Justice
Studies in Social Justice POLITICAL SCIENCE-
CiteScore
1.70
自引率
10.00%
发文量
49
审稿时长
10 weeks
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