"Heart strings and purse strings" revisited: A preregistered replication and extension.

The Appraisal-Tendency Framework outlines that discrete emotions of similar valence behave differently, based on each emotion's specific appraisal profile. In the domain of pricing decisions, a seminal paper by Lerner and colleagues report incidental, negative emotions of disgust and sadness to show a divergent effect on spending decisions based on the perceived ownership of a commodity. Specifically, disgust-reduced spending while sadness increased spending on a new product.

A deep learning model identifies emphasis on hard work as an important predictor of income inequality.

High levels of income inequality can persist in society only if people accept the inequality as justified. To identify psychological predictors of people's tendency to justify inequality, we retrained a pre-existing deep learning model to predict the extent to which World Values Survey respondents believed that income inequality is necessary. A feature importance analysis revealed multiple items associated with the importance of hard work as top predictors.

The curious case of threat-awe: A theoretical and empirical reconceptualization.

Threat-based awe, or threat-awe, has been conceptualized as a fear-centric, negative-valenced variant of awe, although awe is a positive emotion embodying wonder and amazement. This research, however, argues that threat-awe is a mixed emotion rather than a negatively valenced subaspect of awe. We tested this conceptualization using two methodologies: (a) the theoretical framework of cognitive appraisals and (b) measures of ambivalence (an emotion co-occurrence index of bivalence, the Evaluative Space Grid, and a four-item scale to measure mixed emotions).