Using LexisLibrary News, six UK newspaper archives were searched for the terms \'schizophrenia\' and \'psychosis\' in articles published between 2000 and 2019; the included article total was n = 9802. Articles were analysed using Linguistic Inquiry and Word Count software.
A two-level multilevel model was created of newspaper articles nested within newspapers. Adding predictors revealed that diagnostic term was a significant predictor of the emotional tone of articles (β = -2.30, SE = 0.51, p < .001, 95 % CI -3.30 to -1.30), with \'psychosis\' having a more negative tone than \'schizophrenia.\' Tabloids were shown to have a significantly more negative tone than broadsheets (β = -9.32, SE = 1.04, p < .001, 95 % CI -11.36 to -7.28), and emotional tone of writing had become more negative over time (β = -0.26, SE = 0.04, p < .001, 95 % CI -0.34 to -0.18).
These findings suggest \'psychosis\' is associated with greater negativity than \'schizophrenia\' within UK newspapers, and may be a poor substitute term to reduce stigma. As article tone worsened for both diagnoses over time, increased stigma reduction campaigns are required to target negativity within the media.
方法:使用LexisLibrary新闻,在2000年至2019年间发表的文章中,搜索了六份英国报纸档案中的术语“精神分裂症”和“精神病”;包括的文章总数为n=9802.使用语言查询和字数软件对文章进行分析。
结果:创建了嵌套在报纸中的报纸文章的两级多级模型。添加预测因子显示,诊断术语是文章情绪语气的重要预测因子(β=-2.30,SE=0.51,p<.001,95%CI-3.30至-1.30),“精神病”比“精神分裂症”更消极。与宽页相比,小报的负面色调明显更高(β=-9.32,SE=1.04,p<.001,95%CI-11.36至-7.28),随着时间的推移,写作的情绪语气变得更加消极(β=-0.26,SE=0.04,p<.001,95%CI-0.34至-0.18)。
结论:这些发现表明,在英国报纸中,“精神病”比“精神分裂症”与更大的消极情绪有关,并且可能是减少污名的不良替代术语。随着时间的推移,两种诊断的文章语气都恶化了,需要增加减少污名的运动,以针对媒体内部的消极情绪。