The effect of facial expressions on crowdfunding
- Authors
- Yoo, Jenny Jeongeun; Song, Sangyoung
- Issue Date
- Jul-2021
- Publisher
- 한국데이터정보과학회
- Keywords
- Crowdfunding; facial expressions; google cloud vision
- Citation
- 한국데이터정보과학회지, v.32, no.4, pp.883 - 892
- Indexed
- KCI
- Journal Title
- 한국데이터정보과학회지
- Volume
- 32
- Number
- 4
- Start Page
- 883
- End Page
- 892
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/141523
- DOI
- 10.7465/jkdi.2021.32.4.883
- ISSN
- 1598-9402
- Abstract
- 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.
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Collections - 서울 경영대학 > 서울 경영학부 > 1. Journal Articles
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