Sensitive Self-disclosures, Responses, and Social Support on Instagram: The Case of #Depression

被引:149
作者
Andalibi, Nazanin [1 ]
Ozturk, Pinar [2 ]
Forte, Andrea [1 ]
机构
[1] Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA
[2] Stevens Inst Technol, Hoboken, NJ 07030 USA
来源
CSCW'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING | 2017年
基金
美国国家科学基金会;
关键词
Self-disclosure; emotions; depression; mental illness; eating disorder; self-harm; suicide; stigma; content analysis; mixed methods; photo sharing; social media; Instagram; MODEL; INDIVIDUALS; MOTIVATIONS; OUTCOMES; PEOPLE; FORUM;
D O I
10.1145/2998181.2998243
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
People can benefit from disclosing negative emotions or stigmatized facets of their identities, and psychologists have noted that imagery can be an effective medium for expressing difficult emotions. Social network sites like Instagram offer unprecedented opportunity for image-based sharing. In this paper, we investigate sensitive self-disclosures on Instagram and the responses they attract. We use visual and textual qualitative content analysis and statistical methods to analyze self-disclosures, associated comments, and relationships between them. We find that people use Instagram to engage in social exchange and storytelling about difficult experiences. We find considerable evidence of social support, a sense of community, and little aggression or support for harmful or pro-disease behaviors. Finally, we report on factors that influence engagement and the type of comments these disclosures attract. Personal narratives, food and beverage, references to illness, and self-appearance concerns are more likely to attract positive social support. Posts seeking support attract significantly more comments. CAUTION: This paper includes some detailed examples of content about eating disorders and self-injury illnesses.
引用
收藏
页码:1485 / 1500
页数:16
相关论文
共 84 条