Selfiecity analyzes selfies from Instagram to study how people pose and express emotions.
Input data:
- Computer analysis: Algorithms measure head tilt, gaze, and smile scores.
- Images: 650,000+ JPEG photos collected in one week; filtered down to 3,200 single person selfies.
- Metadata: City, gender, and timestamp.
Output data:
- CSV files with numeric results.
- Interactive visualizations such as image plots and graphs showing patterns across cities and demographics.
Accessibility and digital humanities best practices:
- All methods and visualizations are openly shared online.
- Transparent documentation ensures reproducibility and ethical handling of social media data.
- Shows how digital humanities uses data to make culture measurable while respecting privacy.
