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Designing algorithms against corruption: a conjoint study on communicative features to encourage intentions for collective action.

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Title: Designing algorithms against corruption: a conjoint study on communicative features to encourage intentions for collective action.
Authors: Starke, Christopher, c.d.r.o.starke@uva.nl, Kieslich, Kimon, Reichert, Max, Köbis, Nils
Source: Journal of Information Technology & Politics; Jul-Sep2026, Vol. 23 Issue 3, p237-253, 17p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Designing algorithms against corruption: a conjoint study on communicative features to encourage intentions for collective action.
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  Data: <searchLink fieldCode="AU" term="%22Starke%2C+Christopher%22">Starke, Christopher</searchLink>, <i>c.d.r.o.starke@uva.nl</i><br /><searchLink fieldCode="AU" term="%22Kieslich%2C+Kimon%22">Kieslich, Kimon</searchLink><br /><searchLink fieldCode="AU" term="%22Reichert%2C+Max%22">Reichert, Max</searchLink><br /><searchLink fieldCode="AU" term="%22Köbis%2C+Nils%22">Köbis, Nils</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Information+Technology+%26+Politics%22">Journal of Information Technology & Politics</searchLink>; Jul-Sep2026, Vol. 23 Issue 3, p237-253, 17p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194542273
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      – Type: doi
        Value: 10.1080/19331681.2025.2465326
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 237
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      – TitleFull: Designing algorithms against corruption: a conjoint study on communicative features to encourage intentions for collective action.
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            NameFull: Kieslich, Kimon
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            NameFull: Reichert, Max
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            – D: 01
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              Text: Jul-Sep2026
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              Y: 2026
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