Evaluating Public Sentiment on Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder Compared With Other Mental Health Disorders From Posts on X (Formerly Known as Twitter): Longitudinal Analysis.

IF 2.3 Q1 HEALTH CARE SCIENCES & SERVICES
JMIR infodemiology Pub Date : 2026-04-09 DOI:10.2196/74440
Vitor Tiosso Batistetti, Facundo G Sanchez, Andrea Varaona, Francisco Lara-Abelenda, Mariana Pinto da Costa, Juan Pablo Chart-Pascual, Alberto Rodriguez-Quiroga, Javier Quintero, Miguel Angel Alvarez-Mon
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引用次数: 0

Abstract

Background: Neurodevelopmental disorders, especially attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), have seen a marked rise in public attention, yet research on public opinion remains limited. Social media analysis offers real-time, unfiltered insights into public perceptions, enabling empirical examination of public attitudes and opinions.

Objective: This study aimed to assess the evolution of public opinion on ADHD and ASD between 2009 and 2023 by analyzing posts from X (formerly known as Twitter; X Corp), comparing perceptions across English and Spanish languages and against other mental health conditions.

Methods: Posts mentioning keywords related to ADHD and ASD and control conditions (eg, depression, anxiety, insomnia, bipolar disorder, schizophrenia, suicide, and substance use disorders) were collected from X between 2009 and 2023. The dataset included posts in both English and Spanish. Machine learning algorithms were then applied to classify post content into predefined categories, including volume of posts, engagement, personal experiences, trivialization, perceived causes, and perceived treatability. Parametric and nonparametric tests were used to assess for differences by language. Descriptive statistics were presented using tables and graphical representations.

Results: A total of 852,990 posts were analyzed, including 511,510 (59.97%) in English and 341,480 (40.03%) in Spanish. Overall, post volume on mental health conditions increased across the study period. In English, posts about ADHD (97,084/511,510, 18.98%) and ASD (74,619/511,510, 14.59%) were among the most frequent, while of the 341,480 Spanish posts, there were 49,475 (14.49%) ASD posts, significantly outnumbering ADHD posts (n=18,223, 5.34%; chi-square test P<.001). Engagement analysis indicated a notable increase in likes and reposts per post over time, particularly after 2019, with ADHD-related posts in English experiencing peak engagement during the COVID-19 pandemic. However, ASD posts had comparatively lower engagement across languages. Posts sharing personal experiences were more polarized in Spanish, with higher proportions of negative and positive experiences compared with English posts. Trivialization of mental illnesses was less common in Spanish posts than in English posts, particularly for ADHD (17,053/18,223, 93.59%; chi-square test P<.001) and ASD (41,933/49,475, 84.73%; chi-square test P<.001). User-perceived causes included multifactorial factors, biological or genetic factors, substance use, psychological susceptibility, acute psychosocial stressors, and COVID-19. Perceived treatability varied by language but consistently included high perceived incurability, limited improvement despite professional help, and low perceived self-manageability except for anxiety.

Conclusions: Analysis of social media discourse showed that ADHD attracted higher post volumes, particularly during the COVID-19 pandemic, often described with multifactorial causes including substance use and genetics. ASD consistently received lower engagement. Both language groups showed low trivialization, awareness of the chronicity of the illness, and limited support for the self-management of mental health conditions. These findings underscore social media's value for capturing direct public perceptions to guide future educational and intervention efforts.

从X(以前称为Twitter)上的帖子评估公众对注意力缺陷/多动障碍和自闭症谱系障碍与其他精神健康障碍的看法:纵向分析。
背景:神经发育障碍,特别是注意力缺陷/多动障碍(ADHD)和自闭症谱系障碍(ASD),已经看到了公众关注的显著上升,但对公众舆论的研究仍然有限。社交媒体分析提供了对公众看法的实时、未经过滤的洞察,使对公众态度和观点的实证检验成为可能。目的:本研究旨在通过分析X(以前称为Twitter; X Corp)的帖子,比较英语和西班牙语以及其他精神健康状况的看法,评估2009年至2023年间公众对ADHD和ASD的看法演变。方法:收集2009年至2023年期间,在X网上发表的与ADHD和ASD相关的关键词及控制条件(如抑郁、焦虑、失眠、双相情感障碍、精神分裂症、自杀和物质使用障碍)相关的帖子。该数据集包括英语和西班牙语的帖子。然后应用机器学习算法将帖子内容分类为预定义的类别,包括帖子数量、参与度、个人经历、琐屑化、感知原因和感知可治疗性。采用参数检验和非参数检验来评估语言差异。描述性统计使用表格和图形表示。结果:共分析文章852990篇,其中英文511510篇(59.97%),西班牙文341480篇(40.03%)。总体而言,在整个研究期间,心理健康状况的后期数量有所增加。在英语中,关于ADHD(97,084/511,510, 18.98%)和ASD(74,619/511,510, 14.59%)的帖子最为频繁,而在341,480个西班牙语帖子中,有49,475个(14.49%)ASD帖子,显著超过ADHD帖子(n=18,223, 5.34%)。结论:对社交媒体话语的分析显示,ADHD吸引了更多的帖子,特别是在COVID-19大流行期间,通常被描述为包括物质使用和遗传在内的多因素原因。自闭症患者的参与度一直较低。这两个语言群体都表现出较低的轻视,对疾病的慢性性的认识,以及对精神健康状况自我管理的有限支持。这些发现强调了社交媒体在捕捉直接公众感知、指导未来教育和干预工作方面的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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