Social network structure has been argued to shape the structure of languages, as well as affect the spread of innovations and the formation of conventions in the community. Specifically, theoretical and computational models of language change predict that sparsely connected communities develop more systematic languages, while tightly knit communities can maintain high levels of linguistic complexity and variability. However, the role of social network structure in the cultural evolution of languages has never been tested experimentally. Here, we present results from (...) a behavioral group communication study, in which we examined the formation of new languages created in the lab by micro‐societies that varied in their network structure. We contrasted three types of social networks: fully connected, small‐world, and scale‐free. We examined the artificial languages created by these different networks with respect to their linguistic structure, communicative success, stability, and convergence. Results did not reveal any effect of network structure for any measure, with all languages becoming similarly more systematic, more accurate, more stable, and more shared over time. At the same time, small‐world networks showed the greatest variation in their convergence, stabilization, and emerging structure patterns, indicating that network structure can influence the community's susceptibility to random linguistic changes (i.e., drift). (shrink)

Cognitive Science, Volume 45, Issue 11, November 2021.

Cognitive Science, Volume 45, Issue 11, November 2021.

People differ in the size of their social network, and thus in the properties of the linguistic input they receive. This article examines whether differences in social network size influence individuals’ linguistic skills in their native language, focusing on global comprehension of evaluative language. Study 1 exploits the natural variation in social network size and shows that individuals with larger social networks are better at understanding the valence of restaurant reviews. Study 2 manipulated social network size by randomly assigning participants (...) to learn novel evaluative words as used by two versus eight speakers. It replicated the finding from Study 1, showing that those exposed to a larger social network were better at comprehending the valence of product reviews containing the novel words that were written by novel speakers. Together, these studies show that the size of one's social network can influence success at language comprehension. They thus open the door to research on how individuals’ lifestyle and the nature of their social interactions can influence linguistic skills. (shrink)

Sociolinguistic research shows that listeners' expectations of speakers influence their interpretation of the speech, yet this is often ignored in cognitive models of language comprehension. Here, we focus on the case of interactions between native and non-native speakers. Previous literature shows that listeners process the language of non-native speakers in less detail, because they expect them to have lower linguistic competence. We show that processing the language of non-native speakers increases lexical competition and access in general, not only of the (...) non-native speaker's speech, and that this leads to poorer memory of one's own speech during the interaction. We further find that the degree to which people adjust their processing to non-native speakers is related to the degree to which they adjust their speech to them. We discuss implications for cognitive models of language processing and sociolinguistic research on attitudes. (shrink)

Successful communication is important for both society and people’s personal life. Here we show that people can improve their communication skills by interacting with multiple others, and that this improvement seems to come about by a greater tendency to take the addressee’s perspective when there are multiple partners. In Experiment 1, during a training phase, participants described figures to a new partner in each round or to the same partner in all rounds. Then all participants interacted with a new partner (...) and their recordings from that round were presented to naïve listeners. Participants who had interacted with multiple partners during training were better understood. This occurred despite the fact that the partners had not provided the participants with any input other than feedback on comprehension during the interaction. In Experiment 2, participants were asked to provide descriptions to a different future participant in each round or to the same future participant in all rounds. Next they performed a surprise memory test designed to tap memory for global details, in line with the addressee’s perspective. Those who had provided descriptions for multiple future participants performed better. These results indicate that people can improve their communication skills by interacting with multiple people, and that this advantage might be due to a greater tendency to take the addressee’s perspective in such cases. Our findings thus show how the social environment can influence our communication skills by shaping our own behavior during interaction in a manner that promotes the development of our communication skills. (shrink)

A classic example of the arbitrary relation between the way a word sounds and its meaning is that microorganism is a very long word that refers to a very small entity, whereas whale is a very short word that refers to something very big. This example, originally presented in Hockett's list of language's design features, has been often cited over the years, not only by those discussing the arbitrary nature of language, but also by researchers of sound symbolism. While the (...) two groups disagreed regarding the role of arbitrariness and sound symbolism in language, they both agreed there is a nonsound symbolic relation between word length and entity size in this case. This paper shows that the length of the words whale and microorganism in fact reflects a sound symbolic pattern. An analysis of >600 languages from >100 language families shows that languages use longer words to denote the concept small than they do to denote the concept big. The paper thus shows how explicit judgments might differ from implicit cognitive association and the problem of relying on these in sound symbolism research. (shrink)

Propagation of novel linguistic terms is an important aspect of language use and language change. Here, we test how social network size influences people's likelihood of adopting novel labels by examining hashtag use on Twitter. Specifically, we test whether following fewer Twitter users leads to more varied and malleable hashtag use on Twitter, because each followed user is ascribed greater weight and thus exerts greater influence on the following user. Focusing on Dutch users tweeting about the terrorist attack in Brussels (...) in 2016, we show that people who follow fewer other users use a larger number of unique hashtags to refer to the event, reflecting greater malleability and variability in use. These results have implications for theories of language learning, language use, and language change. (shrink)