With the widespread adoption of crowdfunding, new questions arise concerning how individuals make funding decisions online where the role of texts become particularly important. Our study used the text from Kiva which enables prosocial lending to small business and community groups located in emerging markets. Given that funders do exhibit prosocial motivations, we draw on the identifiable victim effect theory which postulates identifiability of a victim leads to greater charitable giving. We then develop nuanced linguistic features to operationalize the identifiable victim effect and test if operationalization has an impact on funding.
|Original language||English (US)|
|Title of host publication||CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing|
|Publisher||Association for Computing Machinery|
|Number of pages||4|
|State||Published - Oct 30 2018|
|Event||21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018 - Jersey City, United States|
Duration: Nov 3 2018 → Nov 7 2018
|Name||Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW|
|Other||21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018|
|Period||11/3/18 → 11/7/18|
Bibliographical notePublisher Copyright:
© 2018 Copyright is held by the owner/author(s).
- Prosocial behavior
- Textual analysis