Posting About Cancer: Predicting Social Support in Imgur Comments

Author:

Hale Brent J.1ORCID,Collins Ryan1,Kilgo Danielle K.2ORCID

Affiliation:

1. Indiana University Bloomington, USA

2. University of Minnesota, Twin Cities, USA

Abstract

People who are affected by cancer can benefit greatly from social support and digital social networks, though our understanding of online support is primarily founded in dominant platforms like Facebook. In addition, while previous scholarship indicates that social support is available online, little research has examined predictors of support provision. A content analysis was performed to examine the relationship between narrative features in Imgur posts and social support in comments. Imgur ( Imgur.com ) is a social media site and image-hosting platform, amassing over 250 million monthly visitors. Six post features were hypothesized to predict support, including explanations of the diagnosis experience, evidence of agentive problem solving, indications of positive reappraisal, pleads for the audience to get a checkup, references to mortality, and inclusion of humor. The results of this study indicate a relationship between narrative construction and social support, finding that the inclusion of narrative features in cancer-related posts influenced the provision of support in comments. Findings of this study could have implications for a multitude of stakeholders interested in social support provision, including healthcare professionals and researchers interested in the use of social media platforms for support, and organizations interested in designing supportive online platforms for individuals coping with cancer.

Publisher

SAGE Publications

Subject

Computer Science Applications,Communication,Cultural Studies

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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