Yes. If I had the energy and time to do a proper researched data set I would have a bot search through the top 100 common words associated with either warmth (sociability and morality) or competence, and then use a facial recognition system go through the first 100 images of each to determine the distribution of gender, age and skin color.

Following the stereotype content model theory I would likely get a pretty decent prediction of what kind of culture and group perspective produced the data. You could also rerun the experiment in different locations to see if it differ.