社会化媒体
心理学
领域(数学)
主题(计算)
数据科学
管理科学
计算机科学
工程类
万维网
数学
纯数学
作者
Hannah K. Jarman,Siân A. McLean,Scott Griffiths,Samantha Teague,Rachel F. Rodgers,Susan J. Paxton,Emma Austen,Emily A. Harris,Trevor Steward,Adrian Shatte,Long Khanh‐Dao Le,Tarique Anwar,Cathrine Mihalopoulos,Alexandra Parker,Zali Yager,Matthew Fuller‐Tyszkiewicz
出处
期刊:Body Image
[Elsevier]
日期:2022-03-01
卷期号:40: 225-236
被引量:11
标识
DOI:10.1016/j.bodyim.2021.12.007
摘要
Progress towards understanding how social media impacts body image hinges on the use of appropriate measurement tools and methodologies. This review provides an overview of common (qualitative, self-report survey, lab-based experiments) and emerging (momentary assessment, computational) methodological approaches to the exploration of the impact of social media on body image. The potential of these methodologies is detailed, with examples illustrating current use as well as opportunities for expansion. A key theme from our review is that each methodology has provided insights for the body image research field, yet is insufficient in isolation to fully capture the nuance and complexity of social media experiences. Thus, in consideration of gaps in methodology, we emphasise the need for big picture thinking that leverages and combines the strengths of each of these methodologies to yield a more comprehensive, nuanced, and robust picture of the positive and negative impacts of social media.
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