Visual totality of rewards-based crowdfunding pitch videos: disentangling the impact of peak negative affective visual expression on funding outcomes

Visual totality of rewards-based crowdfunding pitch videos: disentangling the impact of peak negative affective visual expression on funding outcomes

In this study, we introduce visual totality of a crowdfunding pitch video which considers not only visual segments with human faces but also segments without human faces. Drawing from Emotions as Social Information (EASI) theory and expression theory, we analyze more than 4 million frames in 3184 In...

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Bibliografische gegevens
Hoofdauteurs:	Huang, Yi, Uy, Marilyn A., Liu, Chang, Foo, Maw-Der, Li, Angelina Zhuyi
Andere auteurs:	Nanyang Business School
Formaat:	Journal Article
Taal:	English
Gepubliceerd in:	2023
Onderwerpen:	Business::General Visual Totality Machine Learning
Online toegang:	https://hdl.handle.net/10356/168946

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