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.

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.

Publication date: Apr 09, 2026

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. 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. 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. 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

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Concepts Keywords
Algorithms Autism Spectrum Disorder
Schizophrenia cross-cultural comparison
Spanish Humans
Twitter Longitudinal Studies
Mental Disorders
mental health
neurodevelopmental disorders
Public Opinion
public opinion
Social Media
social media
trivialization
Twitter, X

Semantics

Type Source Name
disease MESH Autism Spectrum Disorder
disease MESH Neurodevelopmental disorders
disease MESH ADHD
disease MESH anxiety
disease MESH insomnia
disease MESH bipolar disorder
disease MESH schizophrenia
disease MESH substance use disorders
disease MESH included
disease MESH Mental Disorders

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