TY - JOUR
T1 - Attitudes towards schizophrenia on YouTube
T2 - A content analysis of Finnish and Greek videos
AU - Athanasopoulou, Christina
AU - Suni, Sanna
AU - Hätönen, Heli
AU - Apostolakis, Ioannis
AU - Lionis, Christos
AU - Välimäki, Maritta
PY - 2016/7/2
Y1 - 2016/7/2
N2 - Objective: To investigate attitudes towards schizophrenia and people with schizophrenia presented in YouTube videos.Methods: We searched YouTube using the search terms "schizophrenia" and "psychosis" in Finnish and Greek language on April 3rd, 2013. The first 20 videos from each search (N = 80) were retrieved. Deductive content analysis was first applied for coding and data interpretation and it was followed by descriptive statistical analysis.Results: A total of 52 videos were analyzed (65%). The majority of the videos were in the "Music" category (50%, n = 26). Most of the videos (83%, n = 43) tended to present schizophrenia in a negative way, while less than a fifth (17%, n = 9) presented schizophrenia in a positive or neutral way. Specifically, the most common negative attitude towards schizophrenia was dangerousness (29%, n = 15), while the most often identified positive attitude was objective, medically appropriate beliefs (21%, n = 11). All attitudes identified were similarly present in the Finnish and Greek videos, without any statistically significant difference.Conclusions: Negative presentations of schizophrenia are most likely to be accessed when searching YouTube for schizophrenia in Finnish and Greek language. More research is needed to investigate to what extent, if any, YouTube viewers attitudes are affected by the videos they watch.
AB - Objective: To investigate attitudes towards schizophrenia and people with schizophrenia presented in YouTube videos.Methods: We searched YouTube using the search terms "schizophrenia" and "psychosis" in Finnish and Greek language on April 3rd, 2013. The first 20 videos from each search (N = 80) were retrieved. Deductive content analysis was first applied for coding and data interpretation and it was followed by descriptive statistical analysis.Results: A total of 52 videos were analyzed (65%). The majority of the videos were in the "Music" category (50%, n = 26). Most of the videos (83%, n = 43) tended to present schizophrenia in a negative way, while less than a fifth (17%, n = 9) presented schizophrenia in a positive or neutral way. Specifically, the most common negative attitude towards schizophrenia was dangerousness (29%, n = 15), while the most often identified positive attitude was objective, medically appropriate beliefs (21%, n = 11). All attitudes identified were similarly present in the Finnish and Greek videos, without any statistically significant difference.Conclusions: Negative presentations of schizophrenia are most likely to be accessed when searching YouTube for schizophrenia in Finnish and Greek language. More research is needed to investigate to what extent, if any, YouTube viewers attitudes are affected by the videos they watch.
KW - content analysis
KW - mental disorders
KW - Online videos
KW - social media
KW - YouTube
UR - http://www.scopus.com/inward/record.url?scp=84939865580&partnerID=8YFLogxK
U2 - 10.3109/17538157.2015.1008485
DO - 10.3109/17538157.2015.1008485
M3 - Article
C2 - 25710275
AN - SCOPUS:84939865580
SN - 1753-8157
VL - 41
SP - 307
EP - 324
JO - Informatics for Health and Social Care
JF - Informatics for Health and Social Care
IS - 3
ER -