title: 'DSM-V is taking away our identity': the reaction of the online community to the proposed changes in the diagnosis of Asperger's disorder.
abstract: This article considers the fate of Asperger's disorder in the light of proposals for the Diagnostic and Statistical Manual of Mental Disorders (5th ed.) to collapse Asperger's disorder along with other pervasive developmental disorders into a general spectrum of autism. It is argued that a powerful lay and scientific culture has evolved around the concept of Asperger's disorder, which has found a particularly compelling voice over the last decade in the online Asperger community, with websites such as Wrong Planet recruiting tens of thousands of members. In order to assess the impact of these proposed changes on the online Asperger community, 19 threads on the topic of Diagnostic and Statistical Manual of Mental Disorders (5th ed.) are analysed according to the arguments that community members put forward in favour of, or in opposition to, the proposals. Many members embrace the notion of the spectrum and have already coined a new identity - 'spectrumite' - to adapt to the diagnostic shift. Others, however, are suspicious of the motives behind the absorption of Asperger's disorder, and potential threats to the provision of services as well as the strong 'aspie' identity that reflects the large literature and the online public sphere around Asperger's disorder. To what extent this culture poses a challenge to the authority of the Diagnostic and Statistical Manual of Mental Disorders is uncertain at present.
authors.affiliation: University of Winchester, UK.
authors.forename: David C
authors.initials: DC
authors.lastname: Giles
mesh_terms: D020817:Asperger Syndrome / Q000145:classification* / Q000175:diagnosis / Q000523:psychology; D001294:Attitude to Health; D001321:Autistic Disorder / Q000145:classification* / Q000175:diagnosis / Q000523:psychology; D003142:Communication; D003937:Diagnosis, Differential; D039721:Diagnostic and Statistical Manual of Mental Disorders; D006801:Humans; D012933:Social Identification; D061108:Social Media
keywords: discourse analysis; mental health; technology in health care