Caught between the binary : Exploring dominant representations of detransitioned people across digital platforms and publications

一个有争议的术语，去变性广义上指的是经历性别转变的过程-通过医疗，法律的或社会手段-然后恢复到出生时指定的性别。数字话语越来越多地在塑造围绕去变性的两极化叙事方面发挥作用，创造了去变性者用来证明性别认同，知情同意和人权主张的平台。这些讨论的影响并不局限于数字领域：去变性已经影响了围绕跨性别医疗的有争议的立法决定，特别是2020年的贝尔诉塔维斯托克案，以及2022年佛罗里达医学委员会对青年变性的裁决。现有的去变性文献，然而，优先考虑去变性作为一个个体过程，而不是一种社会文化现象。因此，本项目将探讨数字空间（包括正式出版物和非正式社交媒体平台）在构建去转型叙事中的作用。本研究旨在回答：网络话语中的去转译是如何构建的？这些流行的叙事如何置于更广泛的社会文化背景中？数据将包括新闻出版物。文章将有目的地从Bell v Tavistock和佛罗里达医学委员会裁决的相关时期进行抽样，以提供比较时间表;以及TikTok视频和Twitter辩论，使用战略抽样来确定最受欢迎的内容。分析最初将使用风险和需求的概念对数据进行编码，随着研究的进展，将使用一种“开放编码”方法来完善这些数据。Hildebrand-Chupp（2020）和Exposito-Campos（2021）的去转型类型学将作为概念基础，结合现实主义的主题分析方法，以确保关注去转型表征背后的潜在背景因素。

A contested term, detransition broadly refers to the process of undergoing a gender transition - via medical, legal or social means- before reverting to the assigned gender at birth. Digital discourse has increasingly played a role in shaping polarised narratives surrounding detransition, creating platforms used by detransitioners to evidence claims about gender identity, informed consent, and human rights. The impact of these discussions is not confined to the digital sphere: detransition has already influenced controversial legislative decisions surrounding transgender healthcare, notably Bell v Tavistock in 2020, and the 2022 Florida Board of Medicine ruling against youth transition.Existing detransition literature has, however, prioritised detransition as an individual process, rather than a sociocultural phenomenon. Hence, this project will explore the role of digital spaces- both formal publications and informal social media platforms- in constructing narratives of detransition. The research aims to answer: How is detransition constructed in online discourse? And, How can these prevailing narratives be situated in a broader sociocultural context? Data will include news publications. Articles will be purposively sampled from periods surrounding both Bell v Tavistock and the Florida Medical Board Ruling to provide a comparative timeframe; as well as, TikTok videos and Twitter debates using strategic sampling to identify the most 'liked' content. Analysis will initially code data using the concepts of risk and need, with an 'open-coding' method used to refine these as research progresses. Hildebrand-Chupp's (2020) and Exposito-Campos' (2021) typologies of detransition will be used as a conceptual basis combined with a realist approach to thematic analysis to ensure focus on the underlying contextual factors behind representations of detransition.