Taboo language across the globe: A multi-lab study.

The use of taboo words represents one of the most common and arguably universal linguistic behaviors, fulfilling a wide range of psychological and social functions. However, in the scientific literature, taboo language is poorly characterized, and how it is realized in different languages and populations remains largely unexplored. Here we provide a database of taboo words, collected from different linguistic communities (Study 1, N = 1046), along with their speaker-centered semantic characterization (Study 2, N = 455 for each of six rating dimensions), covering 13 languages and 17 countries from all five permanently inhabited continents. Our results show that, in all languages, taboo words are mainly characterized by extremely low valence and high arousal, and very low written frequency. However, a significant amount of cross-country variability in words' tabooness and offensiveness proves the importance of community-specific sociocultural knowledge in the study of taboo language.

We don't know what you did last summer. On the importance of transparent reporting of reaction time data pre-processing.

In behavioral, cognitive, and social sciences, reaction time measures are an important source of information. However, analyses on reaction time data are affected by researchers' analytical choices and the order in which these choices are applied. The results of a systematic literature review, presented in this paper, revealed that the justification for and order in which analytical choices are conducted are rarely reported, leading to difficulty in reproducing results and interpreting mixed findings. To address this methodological shortcoming, we created a checklist on reporting reaction time pre-processing to make these decisions more explicit, improve transparency, and thus, promote best practices within the field. The importance of the pre-processing checklist was additionally supported by an expert consensus survey and a multiverse analysis. Consequently, we appeal for maximal transparency on all methods applied and offer a checklist to improve replicability and reproducibility of studies that use reaction time measures.

Redesigning the exploration of semantic dynamics: SSD account in light of regression design.

The Semantic Settling Dynamics model postulated that the seemingly inconsistent effects of lexical ambiguity are, in fact, a systematic manifestation of the specific dynamics that arise as a consequence of the amount of time spent in processing. The model has thus far been tested by prolonging lexical decision and comparing homonymous, polysemous, and unambiguous words in a factorial design. Here, we kept the strategy of task manipulation but tested the model by using continuous measures as indices of the level of lexical ambiguity and their slopes as indices of the effect size. We expressed the size of the polysemy effect as the slope of the effect of entropy of sense probability distribution and the size of the homonymy effect as the redundancy of sense probability distribution. Comparing lexical decision tasks with the shorter and longer time spent in processing, we observed the predicted decrease in the effect of the polysemy level as well as the predicted increase in the effect of homonymy level.