Using qualitative ratings to predict discrimination
As in Study 1, we also used a mixed effects logistic regression (fit to a binomial distribution) to predict participant responses to the discrimination question (“written by a human” or “generated by AI”) for participants in the “told nothing” framing condition. We included authorship (human or AI), stimulus line count (scaled), stimulus all-lines-rhyme, and stimulus first-person as fixed effects, with random intercepts for participants (dropping stimulus quatrain and stimulus first-person from the model we used in Study 1 due to high multicollinearity in Study 2-poem’s smaller set of 10 poems).