Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/161156
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dc.contributor.authorSheetal, Abhisheken_US
dc.contributor.authorFeng, Zhiyuen_US
dc.contributor.authorSavani, Krishnaen_US
dc.date.accessioned2022-08-17T01:15:48Z-
dc.date.available2022-08-17T01:15:48Z-
dc.date.issued2020-
dc.identifier.citationSheetal, A., Feng, Z. & Savani, K. (2020). Using machine learning to generate novel hypotheses: increasing optimism about COVID-19 makes people less willing to justify unethical behaviors. Psychological Science, 31(10), 1222-1235. https://dx.doi.org/10.1177/0956797620959594en_US
dc.identifier.issn0956-7976en_US
dc.identifier.urihttps://hdl.handle.net/10356/161156-
dc.description.abstractHow can we nudge people to not engage in unethical behaviors, such as hoarding and violating social-distancing guidelines, during the COVID-19 pandemic? Because past research on antecedents of unethical behavior has not provided a clear answer, we turned to machine learning to generate novel hypotheses. We trained a deep-learning model to predict whether or not World Values Survey respondents perceived unethical behaviors as justifiable, on the basis of their responses to 708 other items. The model identified optimism about the future of humanity as one of the top predictors of unethicality. A preregistered correlational study (N = 218 U.S. residents) conceptually replicated this finding. A preregistered experiment (N = 294 U.S. residents) provided causal support: Participants who read a scenario conveying optimism about the COVID-19 pandemic were less willing to justify hoarding and violating social-distancing guidelines than participants who read a scenario conveying pessimism. The findings suggest that optimism can help reduce unethicality, and they document the utility of machine-learning methods for generating novel hypotheses.en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.language.isoenen_US
dc.relation.ispartofPsychological Scienceen_US
dc.rights© 2021 The Authors. All rights reserved.en_US
dc.subjectBusiness::Managementen_US
dc.titleUsing machine learning to generate novel hypotheses: increasing optimism about COVID-19 makes people less willing to justify unethical behaviorsen_US
dc.typeJournal Articleen
dc.contributor.schoolNanyang Business Schoolen_US
dc.identifier.doi10.1177/0956797620959594-
dc.identifier.pmid32926807-
dc.identifier.scopus2-s2.0-85091042961-
dc.identifier.issue10en_US
dc.identifier.volume31en_US
dc.identifier.spage1222en_US
dc.identifier.epage1235en_US
dc.subject.keywordsCOVID-19en_US
dc.subject.keywordsMachine Learningen_US
dc.description.acknowledgementThis research was supported by a Nanyang Assistant Professorship grant awarded by Nanyang Technological University to K. Savani.en_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
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