Abstract
Online portraits constitute a pervasive and critical signal in digital labor markets in that workers can boost their employability by manipulating select visual cues embedded in these portraits. Consequently, we attempt to unravel how visual cues embedded in workers’ portraits within digital labor markets can collectively influence constituent dimensions of employability. Notably, we advance a non-verbal cues classification model that differentiates among demographic, physical appearance, image quality, and non-verbal behavioral cues as focal determinants affecting one’s employment status, the number of job offers received, and rehiring probability. Employing computer vision and deep learning algorithmic techniques to analyze the online portraits and personal information of 53,950 workers on Upwork.com, we demonstrate that visual cues embedded in profile portraits exert a significant effect on workers’ employability in digital labor markets.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 57th Annual Hawaii International Conference on System Sciences, HICSS 2024 |
| Editors | Tung X. Bui |
| Number of pages | 10 |
| Place of Publication | Honolulu |
| Publisher | Hawaii International Conference on System Sciences (HICSS) |
| Publication date | 2024 |
| Pages | 693-702 |
| ISBN (Print) | 9780998133171 |
| ISBN (Electronic) | 9780998133171 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 57th Annual Hawaii International Conference on System Sciences, HICSS 2024 - Hilton Hawaiian Village Waikiki Beach Resort, Honolulu, United States Duration: 3 Jan 2024 → 6 Jan 2024 Conference number: 57 https://hicss.hawaii.edu/ |
Conference
| Conference | 57th Annual Hawaii International Conference on System Sciences, HICSS 2024 |
|---|---|
| Number | 57 |
| Location | Hilton Hawaiian Village Waikiki Beach Resort |
| Country/Territory | United States |
| City | Honolulu |
| Period | 03/01/2024 → 06/01/2024 |
| Sponsor | Association for Information Systems, National Security Agency, University of Arkansas, University of Hawaii at Manoa |
| Internet address |
| Series | Proceedings of the Annual Hawaii International Conference on System Sciences |
|---|---|
| ISSN | 1060-3425 |
Keywords
- Visual cues
- Non-verbal classification model
- Deep learning
- Digital labor market