Weight-Related People-First Language Use and Visual Content Analysis of Images from the Online Coverage of the 2018 Presidential Physical Exam (P04-180-19)
Abstract:Objectives
Weight-related stigmatization is pervasive in American society with health and social consequences. The public increasingly gets news online and it can influence how they understand health issues, including obesity. Online media has a wide reach and can perpetuate the social acceptability of weight stigma through language and visual content. To combat weight bias, experts recommend the use of People-First Language (PFL) and avoidance of stigmatizing images by the media. Research ha… Show more
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