Multimodal Dataset of Kickstarter Projects: Text, Speech, and Visual Emotion Features

The repository contains data from 20,000 Kickstarter projects. Specifically, it includes the HTML files of these projects, along with the analytical results obtained using LIWC for textual and transcribed speech content, and the Microsoft Emotion API for assessing facial emotional expressions in images and pitch videos. This dataset was utilized in the following research paper and dissertation:Raab, M.; Schlauderer, S.; Overhage, S.; Friedrich, T.: More than a Feeling: Investigating the Contagious Effect of Facial Emotional Expressions on Investment Decisions in Reward-Based Crowdfunding. In: Decision Support Systems 135 (2020).Raab, M.: The Effects of Affective Cues on the Performance of Reward-Based Crowdfunding Projects: Theoretical Foundations and Empirical Evidence. Dissertation. Otto-Friedrich-Universität Bamberg, Bamberg 2025.