Are Health Videos from Hospitals, Health Organizations, and Active Users Available to Health Consumers? An Analysis of Diabetes Health Video Ranking in YouTube

Health consumers are increasingly using the Internet to search for health information. The existence of overloaded, inaccurate, obsolete, or simply incorrect health information available on the Internet is a serious obstacle for finding relevant and good-quality data that actually helps patients. Search engines of multimedia Internet platforms are thought to help users to find relevant information according to their search. But, is the information recovered by those search engines from quality sources? Is the health information uploaded from reliable sources, such as hospitals and health organizations, easily available to patients? The availability of videos is directly related to the ranking position in YouTube search. The higher the ranking of the information is, the more accessible it is. The aim of this study is to analyze the ranking evolution of diabetes health videos on YouTube in order to discover how videos from reliable channels, such as hospitals and health organizations, are evolving in the ranking. The analysis was done by tracking the ranking of 2372 videos on a daily basis during a 30-day period using 20 diabetes-related queries. Our conclusions are that the current YouTube algorithm favors the presence of reliable videos in upper rank positions in diabetes-related searches.Fernández Llatas, C.; Traver Salcedo, V.; Borrás Morell, JE.; Martinez-Millana, A.; Karlsen, R. (2017). Are Health Videos from Hospitals, Health Organizations, and Active Users Available to Health Consumers? An Analysis of Diabetes Health Video Ranking in YouTube. Computational and Mathematical Methods in Medicine. 2017:1-9. doi:10.1155/2017/8194940S19201

Diseño de un clasificador audiovisual semi-automatico utilizando la credibilidad del contenido de los videos

[EN] This thesis will examine and develop a visual classifier to be used for semi-automatically extraction of reliable Internet videos; as a study case we propose the Internet video platform YouTube. Several parameters will be used to classify the videos, but in no event will the video quality content be analyzed. The work initially includes locating reliable videos, the extraction and analysis of video metadata, and the implementation of methods to locate and classify new reliable videos. Moreover, traceability will be studied (reliable video ranking location over time) in order to analyze its metadata, and find out possible correlations between reliable videos. Finally, an overview of where the reliable videos will are given to the user as well as a new ranking, based on the previously acquired knowledge[ES] Esta tesis estudiará y desarrollará un clasificador visual que se utilizará para la extracción semiautomática de vídeos de Internet fiables; como un caso de estudio se propone la plataforma de vídeo en Internet YouTube. Varios parámetros se utilizarán para clasificar los videos, pero en ningún caso se analizarán los contenidos de calidad de vídeo. El trabajo incluye, inicialmente, localizar vídeos fiables, la extracción y el análisis de los metadatos de vídeo, y la implementación de métodos para localizar y clasificar nuevos vídeos fiables. Por otra parte, la trazabilidad se estudiará (ubicación clasificación vídeo fiable en el tiempo) con el fin de analizar sus metadatos, y averiguar las posibles correlaciones entre vídeos fiables. Por último, una descripción general de donde se dan los videos confiables para el usuario, así como una nueva clasificación, basada en los conocimientos previamente adquiridosBorrás Morell, JE. (2014). Diseño de un clasificador audiovisual semi-automatico utilizando la credibilidad del contenido de los videos. http://hdl.handle.net/10251/47891Archivo delegad