Abstract
This preliminary research study examines women farmers on Instagram who use the hashtag #womenwhofarm. We investigate the emotional valence of these posts using a multimodal analysis of both text and images. Previous research has found a positivity bias on Instagram, wherein users predominantly express themselves with a positive emotional tone. Using open-ended coding of 651 Instagram posts, this study finds that women farmers use mostly neutral emotional tonality in their images and text content. The study points to a need for disambiguation between different affective terminology in research on emotions in social media and highlights the need for continued theorization on the relationship between images and emotions.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the 9th International Conference on Social Media and Society, SMSociety 2018 |
| Publisher | Association for Computing Machinery |
| Pages | 380-384 |
| Number of pages | 5 |
| ISBN (Print) | 9781450363341 |
| DOIs | |
| State | Published - Jul 18 2018 |
| Event | 9th International Conference on Social Media and Society, SMSociety 2018 - Copenhagen, Denmark Duration: Jul 18 2018 → Jul 20 2018 |
Other
| Other | 9th International Conference on Social Media and Society, SMSociety 2018 |
|---|---|
| Country/Territory | Denmark |
| City | Copenhagen |
| Period | 7/18/18 → 7/20/18 |
Keywords
- Emotions
- Gender
- Image analysis
- Social media
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software