Breast Cancer Screening on Instagram: Understanding Narratives (Preprint)

Author:

Chowdhry AngadORCID,Banerjee AnuragORCID

Abstract

BACKGROUND

Social media platforms have permeated different aspects of everyday life, including healthcare. While much of the scholarship has focused on Twitter, fewer have been concerned with Instagram and its impact on healthcare related awareness. As a platform, Instagram is distinctive in the sense of its format, privileging in equal measure both visual and textual narratives. Due to its popularity and reach among young people, it is important to study how health-related issues and especially breast cancer screening is being discussed on this platform.

OBJECTIVE

This paper seeks to analyse narratives of breast cancer screening practices on Instagram and what users seek from or how they look to contribute to these narratives. The paper also analyses these narratives within the framework of kinship and community of that public health practitioners, healthcare professionals, and healthcare organisations that emerges from these interactions.

METHODS

Using machine learning technology (Sphere Ai), we identify thematic areas and a range of emotions associated with public participation around breast cancer screening on Instagram. We analysed over a 1000 posts and its interaction using Sphere to deduce how users on social media disseminate, receive and interact with information on breast cancer screening.

RESULTS

The analysis unpacks six prominent themes within Instagram posts associated with breast cancer screening practices, including Awareness and Education, Tips for Well-being and Campaigns and Events. In addition, the analysis also reveals four main emotions underpinning the textual components of the Instagram posts associated with breast cancer screening: optimism, joy, sadness and anger.

CONCLUSIONS

We conclude that understanding narratives of cancer screening on Instagram helps foster a more inclusive conversation among healthcare professionals, organisations and patients.

Publisher

JMIR Publications Inc.

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