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  Algorithms against corruption: A conjoint study on designing automated twitter posts to encourage collective action

Starke, C., Kieslich, K., Reichert, M., & Köbis, N. (2023). Algorithms against corruption: A conjoint study on designing automated twitter posts to encourage collective action. SocArXiv, January 13, 2023.

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Starke et al. (2023)_Algorithms against Corruption_Pre-Print.pdf (Preprint), 271KB
 
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 Creators:
Starke, Christopher, Author
Kieslich, Kimon, Author
Reichert, Max, Author
Köbis, Nils1, Author                 
Affiliations:
1Center for Humans and Machines, Max Planck Institute for Human Development, Max Planck Society, ou_3017589              

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Language(s): eng - English
 Dates: 2023-01-13
 Publication Status: Issued
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 Rev. Type: No review
 Identifiers: DOI: 10.31235/osf.io/wf45t
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Title: SocArXiv
Source Genre: Web Page
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Pages: - Volume / Issue: - Sequence Number: January 13, 2023 Start / End Page: - Identifier: -