Evaluating Public Sentiment on ADHD and ASD versus Other Mental Health Disorders: Insights from 10 Years of Twitter (X) Data (Preprint) DOI

Vitor Batistetti,

Facundo G. Sanchez, Andrea Varaona

и другие.

Опубликована: Март 31, 2025

BACKGROUND Neurodevelopmental disorders, especially ADHD and ASD, have seen a marked rise in public attention, yet research on opinion remains limited. Social media analysis offers real-time, unfiltered insight into perceptions, enabling empirical examination of attitudes opinions. OBJECTIVE This study aims to assess the evolution ASD over past decade by analyzing tweets from X (formerly Twitter; Corp, San Francisco, CA), comparing perceptions across English Spanish languages against other mental health conditions. METHODS Tweets mentioning keywords related control conditions (depression, anxiety, insomnia, bipolar disorder, schizophrenia, suicide, substance use disorders) were collected between 2009 2023. The dataset included tweets. Machine learning algorithms then applied classify tweet content predefined categories, including volume tweets, engagement, personal experiences, trivialization, perceived causes, treatability. Parametric nonparametric tests used for differences language. Descriptive statistics presented using tables graphical representations. RESULTS A total 852,990 analyzed, with 59.97% 40.03% Spanish. Overall increased significantly time. In English, about (18.98%) (14.59%) among most frequent, while Spanish, accounted 14.49%, outnumbering (5.34%). Engagement indicated notable increase likes retweets per time, particularly post-2019, ADHD-related experiencing peaks during COVID-19 pandemic. however, had comparatively lower engagement languages. sharing experiences more polarized higher proportions negative positive compared mostly neutral Trivialization illnesses was less common than (93.59%) (84.73%). User-perceived causes multifactorial factors, biological/genetic use, psychological susceptibility, acute psychosocial stressors, COVID-19. Perceived treatability varied language, but consistently high incurability, limited improvement despite professional help, low self-manageability except anxiety. CONCLUSIONS Analysis social discourse showed attracted volumes, COVID-19, often described genetics. received attention. Both language groups awareness chronicity illness, support self-management These findings underscore media’s value capturing direct guide future educational intervention efforts.

Язык: Английский

Evaluating Public Sentiment on ADHD and ASD versus Other Mental Health Disorders: Insights from 10 Years of Twitter (X) Data (Preprint) DOI

Vitor Batistetti,

Facundo G. Sanchez, Andrea Varaona

и другие.

Опубликована: Март 31, 2025

BACKGROUND Neurodevelopmental disorders, especially ADHD and ASD, have seen a marked rise in public attention, yet research on opinion remains limited. Social media analysis offers real-time, unfiltered insight into perceptions, enabling empirical examination of attitudes opinions. OBJECTIVE This study aims to assess the evolution ASD over past decade by analyzing tweets from X (formerly Twitter; Corp, San Francisco, CA), comparing perceptions across English Spanish languages against other mental health conditions. METHODS Tweets mentioning keywords related control conditions (depression, anxiety, insomnia, bipolar disorder, schizophrenia, suicide, substance use disorders) were collected between 2009 2023. The dataset included tweets. Machine learning algorithms then applied classify tweet content predefined categories, including volume tweets, engagement, personal experiences, trivialization, perceived causes, treatability. Parametric nonparametric tests used for differences language. Descriptive statistics presented using tables graphical representations. RESULTS A total 852,990 analyzed, with 59.97% 40.03% Spanish. Overall increased significantly time. In English, about (18.98%) (14.59%) among most frequent, while Spanish, accounted 14.49%, outnumbering (5.34%). Engagement indicated notable increase likes retweets per time, particularly post-2019, ADHD-related experiencing peaks during COVID-19 pandemic. however, had comparatively lower engagement languages. sharing experiences more polarized higher proportions negative positive compared mostly neutral Trivialization illnesses was less common than (93.59%) (84.73%). User-perceived causes multifactorial factors, biological/genetic use, psychological susceptibility, acute psychosocial stressors, COVID-19. Perceived treatability varied language, but consistently high incurability, limited improvement despite professional help, low self-manageability except anxiety. CONCLUSIONS Analysis social discourse showed attracted volumes, COVID-19, often described genetics. received attention. Both language groups awareness chronicity illness, support self-management These findings underscore media’s value capturing direct guide future educational intervention efforts.

Язык: Английский

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