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ORIGINAL RESEARCH article

Front. Neurol.
Sec. Artificial Intelligence in Neurology
Volume 15 - 2024 | doi: 10.3389/fneur.2024.1459578

Analyzing Public Discourse of Dementia from Spanish and English Tweets: A Comparative Analysis with Other Neurological Disorders

Provisionally accepted
  • 1 Department of Medicine and Medical Specialties, Faculty of Medicine and Health Sciences, University of Alcalá, Madrid, Spain
  • 2 Ramón y Cajal Institute for Health Research, Madrid, Madrid Community, Spain
  • 3 Department of Theory of Signal and Communications and Telematic Systems and Computing, Rey Juan Carlos University, Madrid, Asturias, Spain
  • 4 Servicio de Neurología, Hospital Clínico San Carlos, Madrid, Madrid, Spain
  • 5 Department of Medicine, Faculty of Medicine, Complutense University of Madrid, Madrid, Madrid, Spain
  • 6 Other, Sevilla, Spain
  • 7 UGC North of Cadiz, Mental Health Inpatient Unit, General Hospital, Jerez de la Frontera, Spain; Serious Mental Disorder Research Group, Cadiz Biomedical Research and Innovation Institute,, Cadiz, Spain
  • 8 Gregorio Marañón Hospital, Madrid, Madrid, Spain
  • 9 Research Center for Addiction and Risky Behaviors, Iran University of Medical Sciences, Tehran, Iran
  • 10 Service of Internal Medicine and Rheumatology-Autoimmune Diseases, Príncipe de Asturias University Hospital, Madrid, Madrid, Spain
  • 11 Department of Psychiatry and Medical Psychology, Hospital Universitario Infanta Leonor, Madrid, Asturias, Spain

The final, formatted version of the article will be published soon.

    Introduction: Dementia comprise a broad spectrum of cognitive declines affecting 47 million people worldwide, with numbers projected to reach 131 million by 2050. Predominantly associated with older adults, dementia can also impact younger individuals, having a significant impact on daily functioning of the affected patients, relatives, caregivers and the socioeconomic system. Recent research underscores the utility of social media, particularly X (previously Twitter), in understanding public perceptions and sentiments related to neurological disorders. Despite some initial studies have explored social perceptions of dementia in X, broader and deeper analysis of this condition is still warranted.In this retrospective study, we collected and examined all tweets posted in English or Spanish from 2007 to 2023 that mentioned dementia and compare the information with other highly representative neurological disorders like migraines, epilepsy, multiple sclerosis, spinal cord injury, or Parkinson's disease. We developed a codebook to analyze tweets, classifying them by themes such as trivialization, treatment perceptions, and etiopathogenesis.Manually categorized tweets trained machine learning models, BERTWEET for English and BETO for Spanish, which then classified larger datasets with high accuracy. Statistical analysis, including ANOVA, Kruskal-Wallis, and chi-square tests, was conducted to explore linguistic and cultural differences in perceptions of neurological disorders, with results visualized.Our study reveals that dementia is by far the most frequently discussed neurological disorder on X. Likewise, this condition appears to be the most trivialized neurological disorder in Spanish tweets and the second most trivialized in English tweets, with notable differences in geolocation data. Additionally, we found significant differences in perceptions of dementia treatment and associated sentiments between Spanish and English tweets. Furthermore, our study identified varying perceptions of medical content (etiology) and non-medical content (positive/negative experiences and aid requests) related to dementia and other neurological disorders, unveiling a complex landscape of these topics on X.This study explores the importance of X as a social platform for addressing various critical issues related to dementia, comparing it with other neurological disorders in English and Spanish tweets. Future research could further investigate the valuable role of social media in understanding public perceptions and needs regarding dementia and neurological disorders among X users.

    Keywords: Dementia, X (Twitter), neurological disorders, artificial intelligence, machine learning, social perceptions

    Received: 04 Jul 2024; Accepted: 23 Sep 2024.

    Copyright: © 2024 Domingo-Espiñeira, Fraile-Martínez, García Montero, Lara Abelenda, Porta-Etessam, Baras Pastor, Muñoz-Manchado, Arrieta, Saeidi, Ortega, Alvarez De Mon and Alvarez-Mon. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Cielo García Montero, Department of Medicine and Medical Specialties, Faculty of Medicine and Health Sciences, University of Alcalá, Madrid, Spain

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.