目标:性别确认语音治疗,比如语音训练和手术,对于经历语音烦躁不安的变性患者非常有影响力,可能会在包括Twitter和Reddit在内的社交媒体平台上进行讨论。我们的目标是表征与性别确认语音干预有关的社交媒体帖子的内容和情感,以更好地了解该患者人群的需求。
方法:回顾性数据挖掘研究。
方法:通过公开可用的应用程序编程接口提取了2001年至2021年的18,695条推文和2009年至2020年的23,742条r/TransvoiceReddit提交和评论,并使用语言处理和情感分析技术进行了分析。手动审查了与语音修改治疗相关的八千八十六个高度情绪化的r/Transvoice帖子,以进行进一步分类。
结果:关于性别确认声音的在线讨论随着时间的推移而增加,并且以声音女性化为中心。经常性的主题包括使用在线培训资源,歌声,以及医疗服务的障碍,如成本和与医疗保健提供者的可变经验。情感分析表明,讨论性别确认语音训练的帖子平均情感得分高于讨论语音手术的帖子,在Twitter(0.252vs0.161;P<0.001)和Reddit(0.349vs0.301;P<0.001)上。在高度负面的手术帖子中经常出现的主题包括混合结果(9.3%),手术并发症(9.3%),和恢复时间(8.5%)。积极的亚组分析共有的共同主题包括同伴支持,声乐质量,和实践的重要性。
结论:不同性别的患者在Twitter和Reddit的在线社区中分享与语音干预相关的各种问题和资源。在过去的十年中,讨论一直在增长,并且大多是积极的,具有重要的社会支持和社区内的资源共享。对性别确认语音手术的汇总在线情绪比语音训练更负面,主要是由于对手术结果和变异性的担忧,风险,和恢复期。
OBJECTIVE: Gender-affirming voice treatments, such as voice training and surgery, are highly impactful for transgender patients experiencing vocal dysphoria and may be discussed on social media platforms including Twitter and Reddit. Our goal was to characterize the content and sentiment of social media posts pertaining to gender-affirming voice interventions to better understand the needs of this patient population.
METHODS: Retrospective data-mining study.
METHODS: A total of 18,695 Tweets from 2001 to 2021 and 23,742 r/Transvoice Reddit submissions and comments from 2009 to 2020 were extracted via publicly available application programming interfaces and analyzed using language processing and sentiment analysis techniques. One thousand eighty-six highly emotive r/Transvoice posts related to voice modification treatments were manually reviewed for further classification.
RESULTS: Online discussion of gender-affirming voice has increased over time and is centered on vocal feminization. Recurrent themes included use of online training resources, singing voice, and barriers to care such as cost and variable experiences with health care providers. Sentiment analysis demonstrated that posts discussing gender-affirming voice training had higher average sentiment scores than those discussing voice surgery, on both Twitter (0.252 vs 0.161; P < 0.001) and Reddit (0.349 vs 0.301; P < 0.001). Frequently appearing themes in highly negative surgery posts included mixed outcomes (9.3%), surgical complications (9.3%), and recovery time (8.5%). Common themes shared by the positive subgroup analysis included peer support, vocal quality, and importance of practice.
CONCLUSIONS: Gender-diverse patients share various concerns and resources relating to voice intervention in the online communities of Twitter and Reddit. The discussion has been growing over the past decade and is mostly positive, with significant social support and resource-sharing within the community. Aggregated online sentiment toward gender-affirming voice surgery is more negative than voice training, largely due to concerns about surgical outcomes and variability, risks, and recovery period.