Cancer awareness messages in the UK print media: a content analytical and corpus linguistic mixed methods study

Cook, Neil orcid iconORCID: 0000-0001-9738-9582, Dey, Maria Paola, Archer, Dawn Elizabeth and Egglestone, Paul (2016) Cancer awareness messages in the UK print media: a content analytical and corpus linguistic mixed methods study. Journal of Epidemiology and Community Health, 70, S1 . A9-A9. ISSN 0143-005X

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Newspaper readership in the UK is high. Exposure to media stories has been shown to influence reader perceptions and newspapers are frequently used as part of cancer awareness campaigns. However we don’t know what happens to the cancer awareness message when it reaches the print media or whether people featured in cancer-related personal interest stories reflect current cancer inequalities. This study forms the first stage of a PhD and looks at the people featured and the language used to see how cancer is currently reported in the UK print media and how this might influence the public’s awareness and perception of the disease.

UK national and regional/local newspaper articles featuring a personal interest story about an individual’s journey with ovarian cancer over a seven-and-a-half year period were identified from the Nexis database. Content analytical methods were used to code information about the newspaper, demographic information about the people featured, and key cancer awareness information such as whether a list of symptoms was provided, or whether early detection was linked to better survival. WMatrix3 was used to conduct corpus linguistic analyses of the language used in the articles including key words, themes, and patterns of words appearing together by comparing the articles to a corpus of standard written English (British National Corpus Written Sampler).

Newspaper coverage decreased with increasing age; only 34.51% (n=156) of articles featured individuals aged over 50. Managers/professionals were featured twice as often as non-professionals (14.82%, n=67 vs 29.8%, n=68). Only a quarter (26.77%, n=121) of articles provided a list of symptoms and even fewer linked early detection and survival (16.81%, n=76) or described the age group most at risk (13.05%, n=59). Corpus linguistic analyses utilising log likelihood (LL) across the years revealed distinctly negative use of language reflecting sadness (LL=+17.03, n=36 [2006] to LL=+72.13, n=105 [2009]) and death (LL=+16.27, n=92 [2012] to LL=+114.29, n=139 [2007]), as well as frequent use of battle language.

Stories about an individual’s journey with ovarian cancer in UK newspapers tend to be negative, lack educational content and do not reflect those most at risk. The next steps of the project are: 1) tracking specific campaigns through the print media to see what happens to the message and how any related personal interest stories are presented 2) understanding why articles are presented in this way through interviewing press release officers, journalists and editors.

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