Areas of Interest and Stigmatic Attitudes of the General Public in Five Relevant Medical Conditions: Thematic and Quantitative Analysis Using Twitter.
Miguel Angel Alvarez de MonMaría Llavero-ValeroRodrigo Sánchez-BayonaVictor Pereira-SanchezMaria Vallejo-ValdivielsoJorge Monserrat SanzGuillermo LaheraAngel Asúnsolo-Del BarcoMelchor Alvarez-MonPublished in: Journal of medical Internet research (2019)
We show a reduced number and a different pattern of contents in tweets about psychosis compared with control diseases. PRT showed a predominance of nonmedical content with increased frequencies of misuse and pejorative tone. However, the medical content of PRT showed high scientific appropriateness aimed toward prevention.