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| Content Provider | ACM Digital Library |
|---|---|
| Author | Andalibi, Nazanin Forte, Andrea Ozturk, Pinar |
| Abstract | 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 story-telling 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. |
| Starting Page | 1485 |
| Ending Page | 1500 |
| Page Count | 16 |
| File Format | |
| ISBN | 9781450343350 |
| DOI | 10.1145/2998181.2998243 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-02-25 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Mixed methods Stigma Social media Depression Eating disorder Suicide Emotions Self-harm Instagram Self-disclosure Mental illness Photo sharing Content analysis |
| Content Type | Text |
| Resource Type | Article |
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