Abstract
My research uses computational methods to understand deviant online communities to assess their health and well-being. My prior work studies the pro-eating disorder community, a specific deviant community that glorifies disordered eating behaviors. In my dissertation, I expand on this work in three ways: to help moderators manage deviant mental wellness content, to understand normative behaviors of support in communities, and ethical issues of predicting individualized mental wellness. Understanding these behaviors at-scale can help medical research develop better intervention strategies through social media as well as understanding bad behavior to make better online communities.
Original language | English (US) |
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Title of host publication | CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems |
Subtitle of host publication | Engage with CHI |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9781450356206, 9781450356213 |
DOIs | |
State | Published - Apr 20 2018 |
Externally published | Yes |
Event | 2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018 - Montreal, Canada Duration: Apr 21 2018 → Apr 26 2018 |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Volume | 2018-April |
Other
Other | 2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018 |
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Country/Territory | Canada |
City | Montreal |
Period | 4/21/18 → 4/26/18 |
Bibliographical note
Publisher Copyright:Copyright held by the owner/author(s).
Keywords
- Deviant behavior
- Eating disorders
- Machine learning
- Mental health
- Social media