Abstract
Background
Recent years have seen a number of attempts to reduce the stigma related to mental illness; the media can play a significant role in perpetuating this stigma. This paper analyses trends in newspaper coverage of mental illness in the UK between 1992-2008 across a range of psychiatric diagnoses.
Methods
A content analysis was performed on a sample of articles (n = 1361) about mental illness in a range of UK newspapers in 1992, 2000, and 2008.
Results
There was a significant proportional reduction in negative articles about mental illness between 1992 and 2008, and a significant increase in articles explaining psychiatric disorders. Coverage improved for depression but remained largely negative for schizophrenia.
Conclusions
Newspaper coverage of mental illness became less stigmatising overall in the 1990s and 2000s, but this was not true for all diagnoses.
Background
The mass media are strongly implicated in the stigmatising views held by the public towards people with mental illness. The precise nature of mental illness stigma is subject to various definitions, though it is generally held to connote the tainting of affected individuals by an interrelated set of negative ideas (stereotypes) and/or behaviours (discrimination) [1-5]. Common stereotypes include that such individuals are dangerous, unpredictable, incapable, incurable, or strange. The extensive literature on media coverage of mental illness points to its frequent use of such ideas [6-9]. While the relationship between the media and public opinion is to some extent bi-directional, there is evidence of a causal pathway running from negative coverage to prejudicial attitudes [10-13]. In the UK, the past 20 years have seen considerable attempts to challenge stigma and misunderstanding, including the 'Defeat Depression' (1992-1997) and 'Changing Minds' (1998-2003) campaigns of the Royal College of Psychiatrists [14], and awards and guidelines to encourage better coverage of mental illness in the media [15-17]. Longitudinal studies of UK public opinion in this period suggest no overall improvement in attitudes towards mental illness between 1994 and 2003 [18], although there was an improvement in attitudes towards depression between 1991 and 1997 [19]. UK and international surveys find more generally that depression and anxiety disorders are less stigmatised than schizophrenia and other psychotic disorders [20-22]. Most of the research on media coverage is cross-sectional; few studies reveal whether reporting has changed in the long term [23,24] and no studies directly compare reporting of different diagnoses. This study is the first to look at changes in UK newspaper coverage at three time points - 1992, 2000, and 2008 - and at the variation in reporting on a range of diagnoses. We test the hypotheses that: (i) overall coverage will improve across the period, and (ii) that this change will be greater for depression than for schizophrenia. In addition to these specific hypotheses, the study explores the following aspects of coverage: the variation across all common psychiatric diagnoses; the variation across different newspaper types; and the relative weight given to biological and psychosocial models of mental illness.
Methods
Sample
The Nexis electronic newspaper archive was used to gather articles from a range of national, general audience dailies. The earliest year for which a broad selection of publications was available was 1992, comprising The Guardian (broadsheet, left-leaning), The Independent (broadsheet, left-leaning), The Times (broadsheet, right-leaning), and The Daily Mail (mid-market tabloid, right-leaning). Only The Guardian and The Times were available before this date, while other national newspapers were not available until the late 1990s. Compared to the UK national newspaper market as a whole, this selection was disproportionately broadsheet and left-leaning, so The Independent was replaced with the London Evening Standard (mid-market tabloid, right-leaning). Excluding The Independent, the 3 national newspapers comprised 30% of the UK national newspaper market as of December 2008. The London Evening Standard was the highest circulation regional newspaper.
The HLEAD function in Nexis was used to search the headlines and opening paragraphs of all articles in the selected newspapers in 1992, 2000, and 2008. The search consisted of 36 general and diagnostic terms covering most major mental disorders (* = truncation wildcard):
General terms: mental health, mental illness, mentally ill, mental disorder, mental patient, mental problem, mental hospital, mental institut*, mental asylum, mental home, secure hospital, special hospital, psychiatr*
Diagnoses: depression, depressive, depressed, anxiety, bipolar, panic disorder, panic attack, obsessive compulsive disorder, OCD, post traumatic stress, PTSD, social phobia, agoraphobi*, schizo*, psychosis, psychotic, eating disorder, anorexi*, bulimi*, personality disorder, dissociative disorder, ADHD, attention deficit
Following Wahl's recommendations [6], substance use disorders, neurodevelopmental and neurodegenerative diseases were not included, as these present a different set of concerns regarding public attitudes and understanding of mental illness. The criteria for inclusion were that the article focused on mental illness, those experiencing it, or the services they receive. Therefore, articles retrieved by the search which used a search term peripherally, in a context unrelated to mental health, or to describe non-clinically significant distress (e.g. casual use of 'depressed'), were excluded.
Coding
A coding frame was developed based principally on two existing analyses: Corrigan et al's detailed overview of US newspaper coverage [25], and Wahl et al's longitudinal study [24]. Both of these studies had a theoretically-based process of developing codes relevant to mental health stigma, and drew on previous studies and input from advocates in the field. Thematic categories derived from these studies were piloted with a small sample of articles including all three time points, and were accepted, rejected, or adjusted in light of considerations of reliability and validity. This process was carried out by one author (RG), with the final codes reviewed by all authors. Additional file 1: Themes shows the coding frame of the two source studies, and those that were included in this study.
In the finalised coding frame, each article was coded for its primary story theme, whether it mentioned any of four stigma-related elements, and all diagnoses discussed. The story themes were grouped into three categories, and addressed the first hypothesis by looking at what is reported. The first of these, 'bad news', included stories considered likely to contribute to mental health stigma. Given the broader range of their content, the 'good news' articles were divided into those explaining and exploring mental illness itself, and those focusing on mental health services and advocacy. In addition to story themes, we used 'elements' to address the first hypothesis by looking at discrete ideas within articles, reflecting more on how stories are reported.
The first hypothesis was thus operationalized as a significant reduction in the proportion of articles with 'bad news' themes or containing the fourth element, and a significant increase in the proportion of articles with 'good news' themes or containing the first three elements. A change in these areas meeting a statistical significance threshold of 0.05 would be considered an improvement in reporting. The second hypothesis was operationalized in the same way, as applied to articles featuring depression and schizophrenia, but limited to story themes, as elements were not sufficiently frequent to provide the required statistical power. An improvement in reporting on depression meeting a statistical significance threshold of 0.05, but its absence for schizophrenia, would be considered a greater improvement in reporting for depression.
All articles were coded by the primary rater (RG) using a detailed codebook (see additional file 2: Codebook). A second rater (EC), not involved in developing the coding frame, was trained to perform a reliability check on 10% of the articles using the codebook. After independently coding this sample, the second rater reviewed her coding in consultation with the primary rater, and made adjustments to codes if they were found to directly contradict the codebook on a question of manifest content. Kappa values were calculated to measure agreement.
Data analysis
The articles were coded and analysed using SPSS version 17.0. The frequency and proportion of articles themes are presented by story year, diagnosis, and newspaper. Mantel-Haenszel chi-squared tests were used to assess the significance of a change across 3 times points and thus investigate longitudinal trends of primary story themes, both overall and for sub-groups of articles by diagnosis and newspaper type. Pearson's chi-squared was used to compare differences in the proportion of negative articles between diagnoses and between newspapers at each time point. The alpha threshold for statistical tests related to the hypotheses was 0.05. For tests not related to the hypotheses, a Bonferroni adjustment for multiple testing was applied, resulting in an alpha threshold of 0.002 (0.05/25).
Results
The search yielded a total of 7481 articles. A random sequence of 50% of the article numbers was generated from http://www.random.org, and inputted into the Nexis download form to create a random 50% sample. 2380 articles were excluded, primarily due to non-relevant uses of the term 'anxiety', and the use of 'depression' in an economic sense, with both 1992 and 2008 seeing major economic downturns. This resulted in a total of 1361 articles for analysis. The number of relevant articles increased by 35% between 1992 and 2000, and a further 40% between 2000 and 2008, nearly doubling between 1992 and 2008 from 321 to 607.
The reliability check on 10% (n = 136) of the articles yielded varying levels of agreement, as measured by the kappa statistic. Agreement was good for diagnosis (0.88) and moderate for story theme (0.64), with the latter increasing when reduced to the three theme groups (0.69) or the binary of 'bad news' or not (0.74). For the stigma-related elements, agreement was highest for 'effective treatment and recovery' (0.81), followed by 'quote from an individual with a mental illness' (0.76), 'pejorative language' (0.66), and 'mental illness is common' (0.64).
Trends in article content
The frequency and proportion of each of the primary story themes are presented for all three time points (Table 1). There was a significant decline in the proportion of articles containing 'bad news' themes across the sample period (Mantel-Haenszel χ2 = 39.61, d.f. = 1, p < 0.001), countered by a roughly equal rise in the proportion of articles containing 'understanding mental illness' themes (Mantel-Haenszel χ2 = 41.10, d.f. = 1, p < 0.001). There was, however, no trend in the proportion of articles discussing 'services and advocacy' themes (Mantel-Haenszel χ2 = 0.02, d.f. = 1, p = 0.89). Given the absolute increase in the number of articles, this reflects a small increase in the number of 'bad news' articles, a doubling of 'services and advocacy' articles, and a more then threefold increase in 'understanding mental illness' articles.
Table 1.
Primary story themes of articles on mental illness by year with Mantel-Haenszel chi-squared test for trend.
| Year | ||||||||
|---|---|---|---|---|---|---|---|---|
| 1992 (n = 321) | 2000 (n = 433) | 2008 (n = 607) | Trend | |||||
| Primary story theme | % | n | % | n | % | n | χ2 (d.f. = 1) | P |
| Bad news | 59 | 188 | 44 | 190 | 37 | 222 | 39.606 | < 0.001 |
| Danger to others | 21 | 66 | 23 | 101 | 14 | 87 | 7.950 | 0.005 |
| Suicide and self-injury | 16 | 50 | 5 | 23 | 8 | 48 | 10.692 | 0.001 |
| Victimization and severe mistreatment | 13 | 41 | 4 | 16 | 2 | 11 | 47.580 | < 0.001 |
| Strange, inept, or burdensome | 10 | 31 | 12 | 50 | 13 | 76 | 1.627 | 0.202 |
| Good news | ||||||||
| Understanding mental illness | 26 | 85 | 45 | 197 | 50 | 301 | 41.096 | < 0.001 |
| Explaining: causes, treatments, prevalence, and symptoms | 13 | 42 | 29 | 125 | 30 | 182 | 26.833 | < 0.001 |
| Biological | 4 | 13 | 10 | 44 | 7 | 40 | 0.761 | 0.383 |
| Psychosocial | 6 | 20 | 17 | 73 | 19 | 113 | 22.151 | < 0.001 |
| Not specified | 3 | 9 | 2 | 8 | 5 | 29 | 3.765 | 0.052 |
| Individuals and groups affected by mental illness | 13 | 43 | 17 | 72 | 20 | 119 | 5.820 | 0.016 |
| Services and advocacy | 15 | 48 | 11 | 46 | 14 | 84 | .020 | 0.888 |
| Mental health service inadequacies and improvements | 11 | 34 | 8 | 36 | 10 | 61 | 0.004 | 0.952 |
| Stigma, discrimination, and public education | 4 | 14 | 2 | 10 | 4 | 23 | 0.027 | 0.871 |
Among articles categorised as 'bad news', 'danger to others' was the most frequent story type. The proportion of articles coded as 'danger to others' rose between 1992 and 2000 from 21% to 23%, declining to 14% by 2008. At the conservative alpha threshold following Bonferroni adjustment, the decline in 'danger to others' articles was not significant across the period (Mantel-Haenszel χ2 = 7.95, d.f. = 1, p = 0.005). The overall decline in articles in the 'bad news' category is accounted for mostly by a reduction in articles about individuals with a mental illness being harmed by themselves (Mantel-Haenszel χ2 = 10.69, d.f. = 1, p = 0.001) or others (Mantel-Haenszel χ2 = 47.58, d.f. = 1, p < 0.001).
With regards to the 'understanding mental illness' category, the biggest increase was in articles discussing psychosocial causes and treatments, rising from 6% of articles in 1992 to 19% in 2008 (Mantel-Haenszel χ2 = 22.15, d.f. = 1, p < 0.001). Accounts of specific individuals and groups affected by illness rose as a proportion of the total, from 13% to 20%, but this was not significant following Bonferroni adjustment (Mantel-Haenszel χ2 = 5.82, d.f. = 1, p = 0.02). Given that such individual accounts were more likely to touch on psychosocial pathways leading to illness, this further minimizes the relative prevalence of articles discussing mental disorders from a biomedical perspective.
There were few notable changes in the four stigma-related elements of reporting (Table 2). The only significant change was the small increase in articles featuring a quote from individuals with a mental illness (Mantel-Haenszel χ2 = 4.638, d.f. = 1, p = 0.031). In each year the most frequently referenced element was that effective treatment was available and some degree of recovery possible, appearing in around one-fifth of articles. The least frequent element was the use of a pejorative slang term, appearing in 5% or less of articles in each year.
Table 2.
Elements of articles on mental illness by year with Mantel-Haenszel chi-squared test for trend.
| Year | ||||||||
|---|---|---|---|---|---|---|---|---|
| 1992 (n = 321) | 2000 (n = 433) | 2008 (n = 607) | Trend | |||||
| % | n | % | n | % | n | χ2 (d.f. = 1) | P | |
| Notes that effective treatment is available and recovery is possible | 16 | 50 | 21 | 90 | 18 | 112 | 0.624 | 0.429 |
| Notes that mental illness is relatively common | 6 | 18 | 9 | 41 | 5 | 32 | 0.484 | 0.486 |
| Features a direct quote from an individual with mental illness | 8 | 25 | 12 | 53 | 13 | 78 | 4.638 | 0.031 |
| Features a pejorative slang term | 5 | 15 | 4 | 18 | 3 | 16 | 2.867 | 0.090 |
The proportion of 'bad news' articles decreased for both newspaper types, but with a more significant reduction in the broadsheets (Mantel-Haenszel χ2 = 33.85, d.f. = 1, p < 0.001) than the mid-market tabloids (Mantel-Haenszel χ2 = 9.29, d.f. = 1, p = 0.002). In addition, reporting varied between the two newspaper types at each time point (Table 3). The proportion of articles in the mid-market tabloids which were categorised as 'bad news' was higher than in the broadsheets in each year: this was not significant in 1992 (Pearson's χ2 = 2.04, d.f. = 1, p = 0.15), or 2000 (Pearson's χ2 = 4.47, d.f. = 1, p = 0.035), but highly significant in 2008 (Pearson's χ2 = 14.67, d.f. = 1, p < 0.001).
Table 3.
Articles by newspaper and proportion of which were bad news with Mantel-Haenszel chi-squared test for trend
| Year | ||||||||
|---|---|---|---|---|---|---|---|---|
| 1992 (n = 321) | 2000 (n = 433) | 2008 (n = 607) | Trend | |||||
| % | n | % | n | % | n | χ2 (d.f. = 1) | P | |
| Guardian | 37 | 118 | 29 | 125 | 29 | 175 | ||
| Bad news | 59 | 70 | 40 | 50 | 25 | 43 | 35.629 | < 0.001 |
| Times | 27 | 87 | 33 | 143 | 32 | 192 | ||
| Bad news | 51 | 44 | 40 | 57 | 36 | 69 | 4.908 | 0.027 |
| Daily Mail | 22 | 72 | 25 | 108 | 25 | 153 | ||
| Bad news | 65 | 47 | 47 | 51 | 45 | 69 | 6.736 | 0.009 |
| Evening Standard | 14 | 44 | 13 | 57 | 13 | 87 | ||
| Bad news | 61 | 27 | 56 | 32 | 47 | 41 | 2.595 | 0.107 |
a. Newspapers given as % of all articles from specified year. Bad news given as % of all articles in specified newspaper in specified year.
Variation in coverage by diagnosis
There was considerable variation in article themes by diagnosis (Table 4). However, it should first be noted that in each year of coverage, a large proportion of articles (between 24% and 39%) featured no specific diagnosis. Articles featuring general or non-specific references to mental illness were largely negative in 1992 (76%) and 2000 (73%), but not in 2008 (48%).
Table 4.
Articles featuring specified diagnosis and primary story theme groups with Mantel-Haenszel chi-squared test for trend.a, b
| Year | ||||||||
|---|---|---|---|---|---|---|---|---|
| 1992 (n = 321) | 2000 (n = 433) | 2008 (n = 607) | Trend | |||||
| % | n | % | n | % | n | χ2 (d.f. = 1) | P | |
| No diagnosis specified | 39 | 124 | 24 | 102 | 31 | 189 | ||
| Bad news | 76 | 94 | 73 | 74 | 48 | 91 | 26.653 | < 0.001 |
| Understanding mental illness | 6 | 8 | 14 | 14 | 24 | 45 | 17.096 | < 0.001 |
| Services and advocacy | 18 | 22 | 14 | 14 | 28 | 53 | 5.692 | 0.017 |
| Depression | 28 | 91 | 34 | 149 | 37 | 226 | ||
| Bad news | 38 | 35 | 32 | 47 | 28 | 63 | 3.287 | 0.070 |
| Understanding mental illness | 46 | 42 | 59 | 88 | 63 | 142 | 6.643 | 0.010 |
| Services and advocacy | 15 | 14 | 9 | 14 | 9 | 21 | 1.976 | 0.160 |
| Eating disorders | 14 | 45 | 13 | 58 | 14 | 82 | ||
| Bad news | 58 | 26 | 16 | 9 | 17 | 14 | 20.297 | < 0.001 |
| Understanding mental illness | 42 | 19 | 78 | 45 | 78 | 64 | 14.682 | < 0.001 |
| Services and advocacy | 0 | 0 | 7 | 4 | 5 | 4 | - | - |
| Anxiety disorders | 10 | 32 | 14 | 62 | 11 | 67 | ||
| Bad news | 19 | 6 | 21 | 13 | 18 | 12 | 0.38 | 0.845 |
| Understanding mental illness | 63 | 20 | 69 | 43 | 72 | 48 | 0.760 | 0.383 |
| Services and advocacy | 19 | 6 | 10 | 6 | 10 | 7 | - | - |
| Schizophrenia | 12 | 38 | 14 | 59 | 9 | 57 | ||
| Bad news | 58 | 22 | 49 | 29 | 68 | 39 | 1.535 | 0.215 |
| Understanding mental illness | 16 | 6 | 27 | 16 | 25 | 14 | 0.758 | 0.384 |
| Services and advocacy | 26 | 10 | 24 | 14 | 7 | 4 | 6.443 | 0.011 |
| Bipolar disorder | 4 | 12 | 3 | 11 | 3 | 19 | ||
| Bad news | 50 | 6 | 64 | 7 | 21 | 4 | - | - |
| Understanding mental illness | 33 | 4 | 9 | 1 | 53 | 10 | - | - |
| Services and advocacy | 17 | 2 | 27 | 3 | 26 | 5 | - | - |
| Personality disorders | 2 | 7 | 6 | 26 | 1 | 9 | ||
| Bad news | 86 | 6 | 85 | 22 | 56 | 5 | - | - |
| Understanding mental illness | 0 | 0 | 8 | 2 | 33 | 3 | - | - |
| Services and advocacy | 14 | 1 | 8 | 2 | 11 | 1 | - | - |
| ADHD | 0 | 0 | 4 | 18 | 4 | 24 | ||
| Bad news | 0 | 0 | 22 | 4 | 8 | 2 | - | - |
| Understanding mental illness | 0 | 0 | 72 | 13 | 88 | 21 | - | - |
| Services and advocacy | 0 | 0 | 6 | 1 | 4 | 1 | - | - |
| Other disorders | 1 | 2 | 1 | 5 | 1 | 7 | ||
| Bad news | 50 | 1 | 40 | 2 | 14 | 1 | - | - |
| Understanding mental illness | 0 | 0 | 60 | 3 | 71 | 5 | - | - |
| Services and advocacy | 50 | 1 | 0 | 0 | 14 | 1 | - | - |
a. Diagnoses given as % of all articles from specified year; sum of all diagnoses adds up to more than 100% as articles can feature multiple diagnoses. Primary story theme groups given as % of all articles featuring specified diagnosis from specified year.
b. Test for trend could not be performed for theme groups with expected cell values < 5.
The most frequently covered diagnosis in each year was depression (28% of articles in 1992, 34% in 2000, and 37% in 2008). Most of these articles came under 'understanding mental illness', with the proportion increasing across the period (Mantel-Haenszel χ2 = 6.64, d.f. = 1, p = 0.01). However, the decline in 'bad news' articles about depression fell short of significance (Mantel-Haenszel χ2 = 3.29, d.f. = 1, p = 0.07). Schizophrenia was featured much less frequently than depression, and was more likely to be in the context of 'bad news' when it did appear. Excluding articles in which both diagnoses appeared, there was a significant difference in the proportion of negative articles for schizophrenia and depression in 1992 (Pearson's χ2 = 5.89, d.f. = 1; p = 0.02), 2000 (Pearson's χ2 = 7.42, d.f. = 1, p = 0.006), and 2008 (Pearson's χ2 = 39.64, d.f. = 1, p < 0.001). Following Bonferroni adjustment, however, only the difference in 2008 was significant. There was little improvement in the coverage of schizophrenia over time, with its most frequent story type of 'bad news' seeing no reduction as a proportion across the period (Mantel-Haenszel χ2 = 1.54, d.f. = 1, p = 0.22).
Discussion
There was a large increase in coverage of mental illness between 1992 and 2008, most of which was not categorised as a 'bad news' story most likely to contribute to the stigma associated with mental illness. However, between 1985 and 2006, the average number of news and editorial pages in UK newspapers increased almost threefold [26]; by this measure, the near doubling in articles about mental illness between 1992 and 2008 likely represents a decrease in reporting on this issue as a proportion of all newspaper coverage. Nevertheless, it is significant that while 'bad news' stories about mental illness remain as prevalent in absolute terms as they did nearly 20 years ago, there is now a considerably higher proportion of coverage devoted to explaining mental illness and exploring the experiences of individuals affected by it. The presence of this pattern in all four publications suggests that the observed changes represent a general trend across the print media. This trend in story themes lends support to the first hypothesis, although the much smaller changes in the elements of reporting give some qualification to this finding.
The overall positive trend masks considerable variation by diagnosis. The reporting of depression, anxiety, bipolar disorder, and eating disorders, either improved over time or was always largely favourable. In contrast, schizophrenia, personality disorders, and general references to mental illness, appeared mainly in the context of 'bad news', and saw little or no change in their coverage over time. The significant increase in 'understanding mental illness' articles about depression, and the lack of change in reporting on schizophrenia, lend support to the second hypothesis. However, this finding is also qualified as the decline in 'bad news' articles about depression was not significant.
With regards to the particular story types, the lack of significant change in reporting on danger suggests violent crime remains a popular staple of news media, although less frequent than some previous studies have found [6-9]. In addition to reports on individual crimes and court cases, this theme also covered reporting on issues like the government's introduction of the dangerous and severe personality disorder diagnosis in 2000, which largely explains the small spike in danger stories for that year. It is worth noting that nothing in the results here, or in any other studies, have demonstrated that violent crimes committed by individuals with a mental illness are more likely to be reported than such crimes committed by other individuals. What concerns campaigners more is both how such incidents are reported, and the fact that for some illnesses, this seems to be the only time they appear in print. With regards the former, it is encouraging that the use of clearly inflammatory language is quite rare, although other research suggests it is more prevalent in the popular tabloids not featured here [23]. As for the latter concern, we have noted how this is a real problem for schizophrenia and personality disorders, which rarely appear in a context not somehow related to violence, tragedy, or misfortune.
The consistent and increasing preference for reporting on the psychosocial over the biomedical aspects of mental illness raises conflicting issues with regards to stigma. On the one hand, this is a positive change given that the biomedical model of mental disorders may be more likely to illicit stigmatising views from the public [27]. On the other hand, the marginalisation of the biomedical model might simply perpetuate the stigma of those seeking and receiving pharmacotherapy as opposed to psychotherapy.
Comparisons with previous research
As noted, there are very few other longitudinal studies of newspaper coverage of mental illness for the past 20 years. Clement and Foster found that reporting on schizophrenia in UK newspapers changed little between 1996 and 2005 [23], a finding corroborated by our results. In the US Wahl et al found small but positive changes in newspaper coverage between 1989 and 1999, again in broad agreement with our results [24].
Relationship to campaigns and public opinion
The relationship of these changes in coverage to campaigns and public opinion is undoubtedly complex. This was a study of media content, not of media production or audience reception, and therefore we can not make any specific claims in this area. It is certainly encouraging that a period which began with a major campaign to increase understanding of depression has seen a steady increase in media coverage explaining this disorder. However, establishing a causal role for these campaigns in the observed changes would require consideration of several other variables, such as changes in the accuracy and balance of health reporting more generally.
With regards public opinion, the improvement in views on depression [19], as well as the more negative views held about schizophrenia [20-22], mirrors patterns found in the coverage. However, given the general improvement in coverage, it is surprising that public opinion overall has not changed significantly in the same period [18]. This could be due to a number of factors. Firstly, the "negativity bias" suggests that people pay more attention to bad news than good news [28], with negative reporting thus remaining highly salient even if it is declining in proportional terms. Additionally, television portrayals of mental illness may not have changed over this period, and the public has much more exposure to this medium than newspapers [29]. Finally, there might be a lag in the effects of the print media on public opinion, especially on a topic where many views are so long-held [30].
Limitations of the study
While this study contributes new information, it has several limitations. Firstly, the variation in coverage across newspapers makes it clear that a more comprehensive sample of the national newspaper market would have been desirable. To this end, it is hoped that tabloid newspaper archives become more easily accessible in future. The study is limited to newspapers, neglecting what may be the more influential messages found in television and film, particularly dramatic fictional portrayals.
Secondly, the use of additional time points would have more clearly revealed the course of the trends observed, and provided greater confidence that no individual events skewed the data. However, given the speed of the news cycle and the fact that the samples were taken from across the whole year, for no time point was a particular story found to dominate coverage.
Thirdly, the fact that this study looked only at articles explicitly about mental illness means that it did not analyse many uses of mental health language - both diagnostic and slang - in non-literal contexts. The rationale for excluding such uses is that for all articles to be weighted equally, they had to be of a broadly similar type. Nevertheless, it has been a long standing concern that 'schizophrenic' is often misused [31], and it was clear during the coding process that the term 'psychotic' is often used inaccurately and pejoratively.
Fourthly, there are inherent limitations to quantitative media analyses. In the process of converting complex media messages into a limited number of discreet categories, a considerable amount of meaning is inevitably lost. Most of the story themes contain a diversity of messages. For example, a story coded 'suicide' could be sensationalist, it could be sensitive and sympathetic, or it could be a mix of these. Reliably coding such subjective criteria is extremely difficult, as suggested by our moderate kappa values. This is particularly true for a study such as this which aims to give a broad overview of how all diagnoses are covered, thus requiring somewhat generic categories of story theme.
With regards the statistical analyses, as this study examined trends in media coverage retrospectively, a sample size calculation was not performed and this is a limitation. The magnitude of the chi-square statistic values, however, indicate high levels of significance which allow us to be more confident about our findings.
Conclusions
This is the first study to look at how UK newspaper coverage has changed through most of the 1990s and 2000s, comparing coverage across a range of psychiatric diagnoses. Those who have struggled to improve understanding of mental illness in recent decades can take encouragement from the improved coverage of depression, eating disorders, and bipolar disorder. But there clearly remains a great deal of work to do for personality disorders and schizophrenia. Given that this study did not look at the metaphorical use of mental health language, television and film portrayals, and the more sensationalist tabloids, the overall coverage of these diagnoses may be worse than it appears here. All this suggests that these disorders should receive particular attention in future campaigns to reduce mental health stigma. Given the relative infrequency of coverage of schizophrenia, the problem is more that there is an absence of explanatory and health service-related articles about this illness, than there is an abundance of negative articles. Attempts to encourage such 'positive' reporting might, therefore, be the most fruitful avenue for campaigners.
Finally, given the limitations noted, there is clearly scope for more longitudinal studies, to see if similar patterns are found in television and film portrayals of mental illness, as well as more qualitative comparisons of particular story types. Ideally, such research should be linked with audience reception studies, to see how changes in coverage might translate into changes in public opinion.
Competing interests
The authors declare that they have no competing interests.
Authors' contributions
RG conceived of the study, participated in design, analysis, and interpretation of data, and drafted the article. EC participated in analysis and interpretation of data. SEL participated in statistical analysis and interpretation of data. DR participated in conception and design. GT participated in conception and design. CH participated in conception, design, analysis, and interpretation of data. All authors revised the article critically, and read and approved the final manuscript.
Pre-publication history
The pre-publication history for this paper can be accessed here:
Supplementary Material
Story themes and elements in previous analyses and present study. the coding frames of Wahl et al and Corrigan et al's studies alongside the codes that were included in this study.
Longitudinal study codebook. codebook used for the content analysis in the study, describing in detail the criteria for all codes.
Contributor Information
Robert Goulden, Email: robertgoulden@hotmail.com.
Elizabeth Corker, Email: elizabeth.a.corker@kcl.ac.uk.
Sara Evans-Lacko, Email: sara.evans-lacko@kcl.ac.uk.
Diana Rose, Email: diana.rose@kcl.ac.uk.
Graham Thornicroft, Email: graham.thornicroft@kcl.ac.uk.
Claire Henderson, Email: claire.1.henderson@kcl.ac.uk.
Acknowledgements
CH, GT and DR are supported by a National Institute for Health Research (NIHR) Applied Programme grant awarded to the South London and Maudsley NHS Foundation Trust. All authors are supported by a grant from Big Lottery and Comic Relief and a grant from SHIFT. DR and GT are also supported in relation to the NIHR Specialist Mental Health Biomedical Research Centre at the Institute of Psychiatry, King's College London and the South London and Maudsley NHS Foundation Trust (GT).
References
- Thornicroft GJ. Shunned: Discrimination Against People with Mental Illness. Oxford: Oxford University Press; 2006. [Google Scholar]
- Link BG, Phelan JC. Conceptualizing Stigma. Annu Rev Sociol. 2001;27:363–385. doi: 10.1146/annurev.soc.27.1.363. [DOI] [Google Scholar]
- Pescosolido BA, Martin JK, Lang A, Olafsdottir S. Rethinking theoretical approaches to stigma: A Framework Integrating Normative Influences on Stigma (FINIS) Soc Sci Med. 2008;67:431–440. doi: 10.1016/j.socscimed.2008.03.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rüsch N, Angermeyer MC, Corrigan PW. Mental illness stigma: Concepts, consequences, and initiatives to reduce stigma. Eur Psychiat. 2005;20:529–530. doi: 10.1016/j.eurpsy.2005.04.004. [DOI] [PubMed] [Google Scholar]
- King M, Dinos S, Shaw J, Watson R, Stevens S, Passetti F, Weigh S, Serfaty M. The Stigma Scale: development of a standardised measure of the stigma of mental illness. Br J Psychiatry. 2007;190:248–254. doi: 10.1192/bjp.bp.106.024638. [DOI] [PubMed] [Google Scholar]
- Wahl OE. Mass Media Images of Mental Illness: A Review of the Literature. J Community Psychol. 1992;20:343–352. doi: 10.1002/1520-6629(199210)20:4<343::AID-JCOP2290200408>3.0.CO;2-2. [DOI] [Google Scholar]
- Francis C, Pirkis J, Dunt D, Blood RW. Mental Health and Illness in the Media. Melbourne: Australian Department of Health and Aged Care; 2001. [Google Scholar]
- Stout PA, Villegas J, Jennings NA. Images of mental illness in the media: Identifying gaps in the research. Schizophr Bull. 2004;30:543–561. doi: 10.1093/oxfordjournals.schbul.a007099. [DOI] [PubMed] [Google Scholar]
- Klin A, Lemish D. Mental Disorders Stigma in the Media: Review of Studies on Production, Content, and Influences. J Health Commun. 2008;13:434–449. doi: 10.1080/10810730802198813. [DOI] [PubMed] [Google Scholar]
- Philo G. In: Media and Mental Distress. Philo G, editor. Harrow: Longman; 1996. The Media and Public Belief. [Google Scholar]
- Borinstein AB. Public attitudes towards persons with mental illness. Health Aff. 1992;3:186–196. doi: 10.1377/hlthaff.11.3.186. [DOI] [PubMed] [Google Scholar]
- Dietrich S, Heider D, Matschinger H, Angermeyer MC. Influence of newspaper reporting on adolescents' attitudes toward people with mental illness. Soc Psychiatry Psychiatr Epidemiol. 2006;41:318–322. doi: 10.1007/s00127-005-0026-y. [DOI] [PubMed] [Google Scholar]
- Thornton JA, Wahl OF. Impact of a newspaper article on attitudes toward mental illness. J Community Psychol. 1996;24:17–25. doi: 10.1002/(SICI)1520-6629(199601)24:1<17::AID-JCOP2>3.0.CO;2-0. [DOI] [Google Scholar]
- Royal College of Psychiatrists: Campaigns. http://www.rcpsych.ac.uk/campaigns.aspx
- Press Complaints Commission: The Evolving Code of Practice. http://www.pcc.org.uk/cop/practice.html
- See me so far: A review of the first 4 years of the Scottish anti-stigma campaign. http://www.seemescotland.org.uk/images/pdfs/1.6.seemesofar.pdf
- Mental Health Media Awards. http://www.mindmediaawards.org.uk/
- Mehta N, Kassam A, Leese M, Butler G, Thornicroft G. Public attitudes towards people with mental illness in England and Scotland, 1994-2003. Br J Psychiatry. 2009;194:278–284. doi: 10.1192/bjp.bp.108.052654. [DOI] [PubMed] [Google Scholar]
- Paykel ES, Hart D, Priest RG. Changes in public attitudes to depression during the Defeat Depression Campaign. Br J Psyhchiatry. 1998;173:519–522. doi: 10.1192/bjp.173.6.519. [DOI] [PubMed] [Google Scholar]
- Crisp A, Gelder M, Goddard E, Meltzer H. Stigmatization of people with mental illnesses: a follow-up study within the Changing Minds campaign of the Royal College of Psychiatrists. World Psychiatry. 2005;4:106–13. [PMC free article] [PubMed] [Google Scholar]
- Link BG, Phelan JC, Bresnahan M, Stueve A, Pescosolido BA. Public conceptions of mental illness: labels, causes, dangerousness, and social distance. Am J Public Health. 1999;89:1328–1333. doi: 10.2105/AJPH.89.9.1328. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Angermeyer MC, Matschinger H. Public beliefs about schizophrenia and depression: similarities and differences. Soc Psychiatry Psychiatr Epidemiol. 2003;38:526–534. doi: 10.1007/s00127-003-0676-6. [DOI] [PubMed] [Google Scholar]
- Clement S, Foster N. Newspaper reporting on schizophrenia: a content analysis of five national newspapers at two time points. Schizophr Res. 2008;98:178–183. doi: 10.1016/j.schres.2007.09.028. [DOI] [PubMed] [Google Scholar]
- Wahl OE, Wood A, Richards R. Newspaper Coverage of Mental Illness: Is It Changing? Am J Psychiatr Rehabil. 2002;6:9–31. [Google Scholar]
- Corrigan PW, Watson AC, Gracia G, Slopen N, Rasinski K, Hall LL. Newspaper Stories as a Measure of Structural Stigma. Psychiatr Serv. 2005;56:551–556. doi: 10.1176/appi.ps.56.5.551. [DOI] [PubMed] [Google Scholar]
- Lewis J, Williams A, Franklin B, Thomas J, Mosdell N. The Quality and Independence of British Journalism. Report for the Joseph Rowntree Charitable Trust and Media Wise Trust; 2007. http://www.mediawise.org.uk/www.mediawise.org.uk/files/uploaded/Quality%20%26%20Independence%20of%20British%20Journalism.pdf [Google Scholar]
- Phelan JC. Genetic bases of mental illness - a cure for stigma? Trends Neurosci. 2002;25:430–431. doi: 10.1016/S0166-2236(02)02209-9. [DOI] [PubMed] [Google Scholar]
- Baumeister RF, Bratslavsky E, Finkenauer C, Vohs KD. Bad is stronger than good. Rev Gen Psychol. 2001;5:323–370. [Google Scholar]
- The Digital Influence Index. http://fleishmanhillard.com/wp-content/uploads/2010/06/digital-influence-index.pdf
- Hinshaw SP, Stier A. Stigma as Related to Mental Disorders. Annu Rev Clin Psychol. 2008;4:367–393. doi: 10.1146/annurev.clinpsy.4.022007.141245. [DOI] [PubMed] [Google Scholar]
- Chopra AK, Doody GA. Schizophrenia, an illness and a metaphor: analysis of the use of the term 'schizophrenia' in the UK national newspapers. J R Soc Med. 2007;100:423–426. doi: 10.1258/jrsm.100.9.423. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Story themes and elements in previous analyses and present study. the coding frames of Wahl et al and Corrigan et al's studies alongside the codes that were included in this study.
Longitudinal study codebook. codebook used for the content analysis in the study, describing in detail the criteria for all codes.