Merged thread
ME/CFS: Stigma Arising from Online News Media Images and Stock Image Platforms, 2022, McMillan et al
July 2022
Conference: 2022 IACFSME Virtual Conference, 27- 30 July
Abstract
BACKGROUND: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) impacts up to 257,000 (1%) Australians. The media has the power to influence perceptions and views across all facets of society and images are a significant element of that influence. Images commonly used by the media to represent ME/CFS do not authentically represent the condition and perpetuate the stigma that surrounds the condition. Stigma is a significant determinant of health that impacts health outcomes. No previous study has examined the authenticity of images used by media articles, nor those available from the image platforms through which stock images are often sourced.
OBJECTIVES: To review the concept of stigma in the context of ME/CFS and using visual framing analysis, assess the perpetuation of that stigma by images purportedly representing ME/CFS that are present on online media articles and stock image platforms.
METHOD: A review was conducted to identify literature examining of identifying stigma issues. Link and Phelan’s 5 conceptualisation of stigma allowed the identification and grouping of issues drawn out of the literature within each interrelated components. The news media images for the analysis were drawn from the four search engines that provided preview images, being Bing News, DuckDuckGo News, Google News and USearch News, and the stock images were sources from Getty Images, Shutter Stock and UnSplash. A Rodriguez and Dimitrova’s 4-tiered visual framing analysis model provided the typology through which the unique attributes (content, style, symbolism and ideology) of each sample image was distinguished. With the assistance of 3 community researchers (within the limits of their health), a codebook was created and tested to ensure reliability during coding. Within tier 1, a number of themes evolved out of the identified frames, and quantitative content analysis was used to tabulate the frequency of each frame. The second-tier analysis identified stylistic-semiotic frames that were quantitatively tabulated. Link and Phelan’s 5 components of stigma provided the tier 3 themes (symbolism) through which images could be analysed. A number of frames were identified under each them, and the occurrence of each frame was tabulated. In the fourth tier, the ideological frames were identified and tabulated.
RESULTS: Using the search string ‘chronic fatigue syndrome’ 452 images were identified among the 4 news media search engines and 3,400 images were returned from the search among the stock image platforms. Tier 1 identified 5 themes, being images that were ‘authentic’, ‘inauthentic’, ‘gender’, ‘social setting’, and ‘neutral’. Articles with ‘no image’ were coded and removed from image totals. Neutral images numbered 25.2% (114) within media images and 8.7% (297) in stock images. 51.3% (232; 2.5:1 females to males) of media and 68.3% (2,323; 2.2:1 females to males) of stock images were gendered. 45.1% (204) of news images and 63.0% (2075) of the stock images, depicted an individual alone. Only 13.5% (61) of the news images were authentic representations of ME/CFS, with none among the stock images. Tier 2 revealed 14 frames. 36.8% (166) of media images and 23.0% (782) of stock images portrayed the subject in a subordinate position. Suffering was portrayed in 30.8% (139) of the media images and 57.4% (1950) of the stock images. At tier 3, 30 frames were distributed across the 5 components of stigma – ‘labelling’, ‘stereotyping’, ‘separation/prejudice’, ‘discrimination’ and ‘power’. The ‘power’ theme contained 8 frames with 7 frame of media images ranging from 44.2% (200) to 50.4% (228) of the images, and the same 7 frames of the stock images ranging from 97.5% (3,116) to 100% (3,400) of the images. The ‘separation/prejudice’ theme demonstrated significant negative stigma, with 6 of 6 frames ranging from 36.5% (165) to 43.8% (198) within the media images and 43.4% (1,475) to 96.5% (3,316) in the stock images. Tier 4 revealed 6 ideological frames. The dominant frames in the media frames were ‘political’, ‘medical patriarchy’, ‘oppression’ and ‘marginalisation’ and ranged from 37.2% (200) to 41.6% (224) of the images. Within the stock images, the same four dominated, and ranged from 73.4% (2,497) to 73.6% (2,501). The ‘biopsychosocial’ frame was highly represented in the stock images at 64.5% (2,192) compared to 25.8% (139) of the media images. Only 9.1% (49) of media images fell within the ‘biomedical’ frame, compared to 64.5% (2,192) of the stock images.
CONCLUSION: The media and stock images demonstrated a perpetuation of the drivers of stigma that surround ME/CFS. Depiction of authentic images of ME/CFS within the media were quite poor, and the availability of authentic images within stock images was non-existent. Given the influence of media and power of images to significantly influence views and perceptions, an improvement in authentic representations of ME/CFS holds potential to decrease the drivers of stigma and help create an environment that holds potential to improve the health outcomes for people with ME/CFS.
https://www.researchgate.net/public...e_News_Media_Images_and_Stock_Image_Platforms