Abstract
As part of an ongoing project, this paper investigates the LGBTQ+ individual's emotions they expressed when seeking information and support in online communities by analyzing online user generated posts in LGBT Chats & Forums. Sixty-one posts that contained emotional texts were coded using content analysis. Seven categories of emotions emerged from the analysis: fear, uncertainty, sadness, anger, shame, joy and others. The results show that emotions LGBTQ+ individuals expressed in their online requests are often unpleasant and evoked their needs of informational and emotional supports. The findings contribute to the existing knowledge of how LGBTQ+ individuals cope with unpleasant emotions and how online communities can better support sexual and gender minority people.
| Original language | English |
|---|---|
| Article number | e375 |
| Pages (from-to) | 1-3 |
| Number of pages | 3 |
| Journal | Proceedings of the Association for Information Science and Technology |
| Volume | 57 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Oct 2020 |