Several empirical studies have linked political candidates’ electoral success to their physical appearance. We reexamine the effects of candidates’ physical attractiveness by taking into account emotional facial expressions as measured by automated facial recognition software. The analysis is based on an observational case study of candidate characteristics in the 2017 German federal election. Using hierarchical regression modeling and controlling for candidates’ displays of happiness, consistent effects of physical attractiveness remain. The results suggest that a potential interaction effect between displays of happiness and attractiveness positively affects vote shares. The study emphasizes the importance of considering emotional expressions when analyzing the impact of candidate appearance on electoral outcomes.

Voters are more likely to support candidates whose faces and voices are perceived as competent. However, what is the simultaneous influence of these two characteristics? Here this question is examined with an observational study and an experiment. In the observational study, subjects rated the facial competence of Members of the U.S. House of Representatives. The most and least competent faces identified were paired with recordings of competent (i.e., lower pitched) and incompetent (i.e., higher pitched) voices to create simulated candidates. For the experiment, a separate set of subjects voted between randomly generated pairs of these simulated candidates. The results show that candidates with competent faces or competent voices won more votes, but the influence of facial competence was nearly three times that of vocal competence.