Standing out in crowdfunded microfinance: A topic modeling approach examining campaign distinctiveness and prosocial performance
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DOI: 10.1016/j.jbvi.2021.e00261
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Cited by:
- Chan, C.S. Richard & Pethe, Charuta & Skiena, Steven, 2021. "Natural language processing versus rule-based text analysis: Comparing BERT score and readability indices to predict crowdfunding outcomes," Journal of Business Venturing Insights, Elsevier, vol. 16(C).
- Johnson, Nicholas E. & Short, Jeremy C. & Chandler, Jeffrey A. & Jordan, Samantha L., 2022. "Introducing the contentpreneur: Making the case for research on content creation-based online platforms," Journal of Business Venturing Insights, Elsevier, vol. 18(C).
- Wen, Xiaohan (Hannah) & Kim, Shinhye & Bowen, Melanie, 2023. "Doing good by sharing messages: An investigation of “You Share, We Donate” campaigns and how they can attain viral success," Journal of Business Research, Elsevier, vol. 156(C).
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Keywords
Topic modeling; Text analysis; CATA; Crowdfunding; Kiva; Gender;All these keywords.
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