Abstract
With the rise of visual social media such as Instagram and TikTok, consumers increasingly use these platforms to share their experiences with brands. Current research examines so-called visual brand-related UGC holistically by examining the creation, content, and consequences of visual Br-UGC. It combines interviews, automated content analyses, and experiments to study the motivations people have to create visual Br-UGC, important content characteristics in visual Br-UGC, and the consequences visual Br-UGC has on the receiver. Moreover, this research aims to examine the potential of computer vision to study visual Br-UGC in the future. Results show that social drivers play an important role in each aspect of visual Br-UGC. Moreover, computer vision is a promising tool to study visual Br-UGC.
| Translated title of the contribution | Creation, Content and Consequences of Visual Brand-related User Generated Content |
|---|---|
| Original language | Dutch |
| Pages (from-to) | 173-193 |
| Number of pages | 21 |
| Journal | Tijdschrift voor communicatiewetenschap |
| Volume | 53 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 May 2025 |
Keywords
- UT-Hybrid-D
- social influence
- social media
- UGC
- computer vision