Applying the Visual-Verbal Video Analysis Framework to Understand How Mental Illness is Represented in the TV Show Euphoria

Author:

Ben-David Shelly1ORCID,Campos Melissa1,Nahal Pavanpreet1,Kuber Sonali1,Jordan Gerald2,DeLuca Joseph3

Affiliation:

1. School of Social Work, University of British Columbia Okanagan, Canada

2. School of Psychology, Institute for Mental Health, University of Birmingham, UK

3. Department of Psychological and Brain Sciences, Fairfield University, USA

Abstract

Mental illness in media can shape viewer’s beliefs about mental health, help-seeking, and empathic behaviors. The current study sought to investigate how mental health and substance use is depicted in popular media targeted for youth. The visual-verbal video analysis (VVVA) framework was applied to the HBO American drama television series Euphoria to understand how mental illness, substance use, and mental health service use is portrayed, and how characters respond to mental health scenes. Euphoria follows a group of high school students as they navigate adolescence, mental illness and substance use. The VVVA provides a framework for social science and medical researchers to qualitatively analyze multimodal information (e.g., text, cinematography, music and sounds, body language and facial expressions) of visual content. This commentary will briefly describe the VVVA framework, provide an overview of how the framework was applied and adapted to analyze a scene in the television series Euphoria, note similarities and differences to the original VVVA framework, and benefits and drawbacks. The VVVA framework was flexible and effective in coding various elements (e.g., body language, camera angles) in a scene in Euphoria.

Funder

Michael Smith Health Research BC Scholar award

Publisher

SAGE Publications

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3