Quantifying the meaning of a word is a complex challenge. Humans can encode semantic information along a large and diverse range of semantic dimensions for any given word. Whilst a number of studies have applied a range of techniques to quantify word meaning along specific dimensions, little work has focussed on the socio-semantic dimensions of meaning. Here, we present data that quantifies the socio-semantic representations of 2,700 Czech words along the dimensions of gender, location, political, valence and age. We also demonstrate the utility of the data set by calculating an estimate of socio-semantic similarity between all words, which can be used to identify words that are either proximally close or distant in socio-semantic space.

Semantic representations of words can vary from person to person and can undergo change over the lifespan. Although a number of studies have explored differences in affective variables (e.g. valence), there has not been any large-scale investigation of the way socio-semantic information is represented, nor whether there is variation (or stability) in these representations across a diverse participant sample. We report on a study where 2,700 Czech words were rated by 1,450 Czech speakers along the dimensions of gender (feminine/masculine), location (rural/urban), political alignment (conservative/liberal), valence (negative/positive) and age (old/young). The ratings were analysed based on gender and age demographics. Our results demonstrate that distinct categories of words, e.g. those associated with mental wellbeing (such as úzkost [anxiety]) are self-associated – young participants rate the words as more young, older participants as more old. Our results shed light on the variation that exists in socio-semantic representations within different populations.