Abstract
Original article: Sheetal, 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, 1222–1235. doi:10.1177/0956797620959594
After publication of this article, readers alerted the authors to several errors. At the authors’ request, the following changes are therefore being made.
First, Figure 1 is being changed so the procedure used is more accurately represented.
Second, in the note for Table 4, the second sentence is being changed as follows: “The ‘ΔDropout loss’ column refers to the change in the model’s binary-cross-entropy loss if the predictor mentioned in that row is permuted.”
Finally, the citation for the World Values Survey data set used in the study is being corrected. The citation in the fifth line in the first full paragraph on p. 1223 is being change to read “Inglehart et al., 2014,” and the following reference entry is being added: Inglehart, R., Haerpfer, C., Moreno, A., Welzel, C., Kizilova, K., Diez-Medrano, J., . . . Puranen, B. (Eds.). (2014). World Values Survey: All rounds - country-pooled datafile. Retrieved from https://www.worldvaluessurvey.org/WVSDocumentationWVL.jsp
Accordingly, the original reference entry for “World Values Survey. (2019, March)” is being deleted.