The effect of facial expressions on crowdfunding

초록

We analyze how the facial expressions of people participating in loan-based crowdfunding affect their funding performance. Previously, researchers who studied facial expressions had to rely on a small number of pictures because coding pictures required human input, which is costly. In this study, we utilize Google cloud vision API which allows us to detect the facial expressions from the large number of pictures. We examine the effects of people's facial expressions (i.e., joy, sorrow, anger, and surprise) on funding success. The results show that joy and sorrow are significantly correlated with funding success, with the latter exerting greater impact than the former.

키워드

Crowdfundingfacial expressionsgoogle cloud vision
제목
The effect of facial expressions on crowdfunding
저자
Yoo, Jenny Jeongeun Song, Sangyoung
DOI
10.7465/jkdi.2021.32.4.883
발행일
2021-07
저널명
한국데이터정보과학회지
32
4
페이지
883 ~ 892