Technologies for extracting and analysing the credibility of health-related online content
The evolution of the Web has led to an improvement in information accessibility. This change has allowed access to more varied content at greater speed, but we must also be aware of the dangers involved. The results offered may be unreliable, inadequate, or of poor quality, leading to misinformation. This can have a greater or lesser impact depending on the domain, but is particularly sensitive when it comes to health-related content.
Palabras clave: Health Misinformation, NLP, Information Retrieval
Publicación: Tese doutoral
1704976587725
11 de xaneiro de 2024
/research/publications/technologies-for-extracting-and-analysing-the-credibility-of-health-related-online-content
The evolution of the Web has led to an improvement in information accessibility. This change has allowed access to more varied content at greater speed, but we must also be aware of the dangers involved. The results offered may be unreliable, inadequate, or of poor quality, leading to misinformation. This can have a greater or lesser impact depending on the domain, but is particularly sensitive when it comes to health-related content. - Marcos Fernández-Pichel - Juan Carlos Pichel Campos
publications_gl