Popular Newspaper Websites and Reporting on Schizophrenia: A Content Analysis



Christina Athanasopoulou* Christina Athanasopoulou*, Department of Nursing Science, University of Turku, Turku, Finland
Maritta Välimäki, Department of Nursing Science, University of Turku; Southwest Hospital District, Finland, Turku, Finland


Track: Research
Presentation Topic: New ethics
Presentation Type: Poster presentation
Submission Type: Single Presentation

Last modified: 2014-05-22

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Abstract


Background: While mass media are considered a primary source of information about mental illness, various studies report that they tend to present mental illness with negative portrayals. Nowadays, the Internet has become very popular among other media and an important source of information. Daily, 41% of Greek people use the Internet. The Greek general public tends to have stigmatizing attitudes towards people with schizophrenia. To our knowledge, how schizophrenia is reported in Greek newspaper websites, has never been studied. It is important to know how schizophrenia is presented in online media, as negative representations can affect public attitudes towards mental illness and also impact negatively individuals living with mental illness.

Objective: To investigate how the term ‘schizohrenia’ is presented in popular Greek newspaper websites.

Methods: First, the three most popular newspaper websites were identified via a web ranking website focusing on worldwide newspapers (http://www.4imn.com/). For a newspaper website to be included it should be: among the top, circulated and distributed on a national level, and to have a general focus. Those distributed locally and/or having a specific focus (e.g. business), were excluded even if they were among the top newspaper websites. Second, on March 4th, 2014, the search term ‘schizophrenia’ in Greek language (‘σχιζοφρένεια’) was searched in the intra-site search engine of each of the three newspaper websites. Included were the first 20 results from each search (N=60), which were then reviewed. Third, deductive content analysis was applied for coding and data interpretation, by using a coding tool based on previous studies (Magliano et al, 2011; Park et al, 2012; Corrigan, 2004). The coding tool included: 1) Year of publication; 2) Type of article: news, healthcare/science, politics, news, economy/finance, culture/entertainment/sport, other; 3) Term used in: positive/neutral, or negative way. Fourth, data was analyzed using descriptive statistics (f,%,Mean,Md,Chi2).

Results: Research in progress

Conclusions: Research in progress

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