What types of terms do people use when describing an individual's personality?

An important yet untested assumption within personality psychology is that more important person characteristics are more densely reflected in language. We investigated how ratings of importance and other term properties are associated with one another and with a term's frequency of use. Research participants were asked to provide terms that described individuals they knew, which resulted in a set of 624 adjectives. These terms were independently rated for importance, social desirability, observability, stateness versus traitness, level of abstraction, and base rate. Terms rated as describing more important person characteristics were in fact used more often by the participants in the sample and in a large corpus of online communications (close to 500 million words). More frequently used terms and more positive terms were also rated as being more abstract, more traitlike, and more widely applicable (i.e., having a greater base rate). We discuss the implications of these findings with regard to person perception in general.

Using text analysis to quantify the similarity and evolution of scientific disciplines.

We use an information-theoretic measure of linguistic similarity to investigate the organization and evolution of scientific fields. An analysis of almost 20 M papers from the past three decades reveals that the linguistic similarity is related but different from experts and citation-based classifications, leading to an improved view on the organization of science. A temporal analysis of the similarity of fields shows that some fields (e.g. computer science) are becoming increasingly central, but that on average the similarity between pairs of disciplines has not changed in the last decades. This suggests that tendencies of convergence (e.g. multi-disciplinarity) and divergence (e.g. specialization) of disciplines are in balance.