title: 'Schizophrenia' on Twitter: Content Analysis of Greek Language Tweets.
abstract: Twitter is an online space whose users can create and share ideas and information instantly. The term schizophrenia is frequently used in a stigmatizing way in Greek language. In Greece, Twitter is the tenth most popular website. Tweets related to schizophrenia in Greek language, have not been investigated. We aimed to examine schizophrenia Tweets in comparison with other illness (diabetes). Deductive content analysis was applied. Schizophrenia Tweets (n=239), tended to be more negative, medically inappropriate, sarcastic, and used non-medically than diabetes Tweets (n=205). Our findings confirm the frequent, non-medical misuse of the term 'schizophrenia' in online sources written in Greek language. These results show that mental health education interventions are needed to raise awareness among the general population, in order to eliminate stigmatizing behaviors. Future anti-stigma actions, could also raise awareness among Internet users about the importance of, avoiding using medical terms in negative or sarcastic ways, and eliminate any potential stigmatizing content.
authors.affiliation: Department of Nursing Science, University of Turku, Finland.
authors.forename: Christina
authors.initials: C
authors.lastname: Athanasopoulou
authors.affiliation: Department of Nursing Science, University of Turku, Finland.
authors.forename: Evanthia
authors.initials: E
authors.lastname: Sakellari
mesh_terms: D006115:Greece; D006801:Humans; D020407:Internet; D007802:Language; D012559:Schizophrenia; D061108:Social Media; D057545:Social Stigma