Linguistic features of identifiable victim effect in microlending

Semi Min; Natalia Levina

doi:10.1145/3272973.3274085

Linguistic features of identifiable victim effect in microlending

Semi Min, Natalia Levina

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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
Pages	313-316
Number of pages	4
ISBN (Electronic)	9781450360180
DOIs	https://doi.org/10.1145/3272973.3274085
State	Published - Oct 30 2018
Externally published	Yes
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

Publication series

Name	Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Other

Other	21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018
Country/Territory	United States
City	Jersey City
Period	11/3/18 → 11/7/18

Bibliographical note

Publisher Copyright:
© 2018 Copyright is held by the owner/author(s).

Keywords

Microlending
Prosocial behavior
Textual analysis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Publisher link

10.1145/3272973.3274085

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Cite this

Min, S., & Levina, N. (2018). Linguistic features of identifiable victim effect in microlending. In CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 313-316). (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW). Association for Computing Machinery. https://doi.org/10.1145/3272973.3274085

Linguistic features of identifiable victim effect in microlending. / Min, Semi; Levina, Natalia.
CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing. Association for Computing Machinery, 2018. p. 313-316 (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Min, S & Levina, N 2018, Linguistic features of identifiable victim effect in microlending. in CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing. Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW, Association for Computing Machinery, pp. 313-316, 21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2018, Jersey City, United States, 11/3/18. https://doi.org/10.1145/3272973.3274085

Min S, Levina N. Linguistic features of identifiable victim effect in microlending. In CSCW 2018 Companion - Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing. Association for Computing Machinery. 2018. p. 313-316. (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW). doi: 10.1145/3272973.3274085

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Linguistic features of identifiable victim effect in microlending

Abstract

Publication series

Other

Bibliographical note

Keywords

UN SDGs

Publisher link

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