Analyzing public discourse of dementia from Spanish and English tweets: a comparative analysis with other neurological disorders
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.
Authors
- Cielo García‐Montero (ORCID: https://orcid.org/0000-0001-6016-7855)
- J. Porta‐Etessam (ORCID: https://orcid.org/0000-0002-7034-682X)
- Miguel Á. Ortega (ORCID: https://orcid.org/0000-0003-2588-1708)
- Miguel Ángel Álvarez-Mon (ORCID: https://orcid.org/0000-0002-1987-0394)
- María del Carmen Arrieta (ORCID: https://orcid.org/0000-0003-4484-5286)
- Óscar Fraile-Martínez (ORCID: https://orcid.org/0000-0002-4494-6397)
- Melchor Álvarez‐Mon (ORCID: https://orcid.org/0000-0003-1309-7510)
- Javier Domingo-Espiñeira
- Francisco Jesus Lara Abelenda
- Laura Baras Pastor
- Leticia I Muñoz-Manchado
- Mahdieh Saeidi
Institutions
- Universidad Complutense de Madrid (ES)
- Universidad Rey Juan Carlos (ES)
- Universidad de Alcalá (ES)
- Instituto Cajal (ES)
- Hospital General Universitario Gregorio Marañón (ES)
- Hospital Clínico San Carlos (ES)
- New York Psychoanalytic Society and Institute (US)
- Universidad de Cádiz (ES)
- Centro de Investigación Biomédica en Red de Salud Mental (ES)
- Biomedical Research and Innovation Institute of Cadiz (ES)
- Instituto Ramón y Cajal de Investigación Sanitaria (ES)
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (ES)
- Asociación Psicoanalítica de Buenos Aires (AR)
- Hospital Jerez Puerta del Sur (ES)
- Hospital Universitario Infanta Leonor (ES)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2024-10-24
- DOI
- https://doi.org/10.3389/fneur.2024.1459578
- Citations
- 1
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.23