Converging Representations of Attention-Deficit/Hyperactivity Disorder and Autism on Social Media: Linguistic and Topic Analysis of Trends in Reddit Data.

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Jemima Kang, Nick Haslam, Mike Conway
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引用次数: 0

Abstract

Background: Social media platforms have witnessed a substantial increase in mental health-related discussions, with particular attention focused on attention-deficit/hyperactivity disorder (ADHD) and autism. This heightened interest coincides with growing neurodiversity advocacy. The impact of these changes in the conceptualization of ADHD and autism, and the relationship between the 2 conditions, remains underexplored.

Objective: We aim to characterize and understand how the relationship between ADHD and autism has evolved in public discourse over the past decade and explore reasons for their growing alignment.

Methods: Using Reddit data from 2012 to 2022, we investigated the frequency of ADHD mentions in r/autism and autism mentions in r/ADHD, compared to commonly mentioned conditions. We analyzed user overlap between the 2 subreddits to track cross-subreddit discussions. Following this, we assessed changes in semantic similarity between ADHD and autism using Word2Vec embedding models, alongside commonly mentioned conditions. Finally, thematic changes in subreddit discussions were explored using BERT-based topic modeling across 2 time periods.

Results: Our analysis revealed that ADHD and autism have become progressively more associated across these multiple dimensions. In r/ADHD, there was a steep rise in the proportion of posts mentioning "autism" in 2021, overtaking "bipolar" and "OCD" (obsessive-compulsive disorder) to become the most frequently mentioned condition. Similarly, ADHD mentions increased steadily in r/autism, while the frequency of posts mentioning "OCD," "PTSD" (posttraumatic stress disorder), and "bipolar" remained stable and low. User overlap between these subreddits grew substantially beginning in 2020. Semantic analysis showed ADHD and autism becoming more closely related from 2019 onward, compared to other conditions. Last, topic modeling indicated growing thematic convergence in ADHD- and autism-related discussions, which reflected an increasing shared emphasis on the experiences of adults with ADHD and autism, challenges in accessing diagnostic assessments, and interpersonal difficulties.

Conclusions: Our study clarifies how discourse around these 2 conditions has converged during a period when they have both attracted rising public attention. These findings contribute to wider discussions about the impacts of rising public interest in mental health concepts. They illustrate that public understandings of relationships between conditions are dynamic and changing in ways that diverge from diagnostic frameworks. Future research should continue investigating changing mental health conceptualizations on social media, as these dynamics are becoming increasingly important for the future of psychiatric practice.

社交媒体上注意力缺陷/多动障碍和自闭症的趋同表现:Reddit数据趋势的语言和主题分析。
背景:社交媒体平台见证了心理健康相关讨论的大幅增加,特别关注注意力缺陷/多动障碍(ADHD)和自闭症。这种高涨的兴趣与越来越多的神经多样性倡导不谋而合。这些变化对ADHD和自闭症概念的影响,以及这两种情况之间的关系,仍未得到充分探讨。目的:我们的目的是描述和理解ADHD和自闭症之间的关系是如何在过去十年的公共话语中演变的,并探讨它们越来越一致的原因。方法:利用2012年至2022年的Reddit数据,我们调查了r/自闭症中提到ADHD的频率,以及r/ADHD中提到自闭症的频率,并将其与常见疾病进行比较。我们分析了两个子reddit之间的用户重叠,以跟踪跨子reddit的讨论。在此之后,我们使用Word2Vec嵌入模型评估了ADHD和自闭症之间语义相似性的变化,以及通常提到的条件。最后,使用基于bert的主题建模跨两个时间段探讨了子reddit讨论中的主题变化。结果:我们的分析显示,多动症和自闭症在这些多个维度上逐渐变得更加相关。在多动症中,2021年提到“自闭症”的帖子比例急剧上升,超过了“双相情感障碍”和“强迫症”,成为最常被提及的疾病。同样,ADHD在r/自闭症中被提及的频率稳步上升,而提到“强迫症”、“创伤后应激障碍”(PTSD)和“双相情感障碍”的频率保持稳定且较低。从2020年开始,这些子reddit之间的用户重叠大幅增长。语义分析显示,与其他情况相比,从2019年起,多动症和自闭症的关系变得更加密切。最后,主题建模表明,ADHD和自闭症相关讨论的主题趋同程度越来越高,这反映了对ADHD和自闭症成年人的经历、获得诊断评估的挑战和人际关系困难的日益重视。结论:我们的研究阐明了围绕这两种情况的讨论是如何在一段时间内融合在一起的,这两种情况都吸引了越来越多的公众关注。这些发现有助于更广泛地讨论公众对心理健康概念日益感兴趣的影响。它们表明,公众对疾病之间关系的理解是动态的,并且以不同于诊断框架的方式不断变化。未来的研究应该继续调查社交媒体上不断变化的心理健康概念,因为这些动态对精神病学实践的未来变得越来越重要。
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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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