Social Networks of Lexical Innovation. Investigating the Social Dynamics of Diffusion of Neologisms on Twitter

Societies continually evolve and speakers use new words to talk about innovative products and practices. While most lexical innovations soon fall into disuse, others spread successfully and become part of the lexicon. In this paper, I conduct a longitudinal study of the spread of 99 English neologisms on Twitter to study their degrees and pathways of diffusion. Previous work on lexical innovation has almost exclusively relied on usage frequency for investigating the spread of new words. To get a more differentiated picture of diffusion, I use frequency-based measures to study temporal aspects of diffusion and I use network analyses for a more detailed and accurate investigation of the sociolinguistic dynamics of diffusion. The results show that frequency measures manage to capture diffusion with varying success. Frequency counts can serve as an approximate indicator for overall degrees of diffusion, yet they miss important information about the temporal usage profiles of lexical innovations. The results indicate that neologisms with similar total frequency can exhibit significantly different degrees of diffusion. Analysing differences in their temporal dynamics of use with regard to their age, trends in usage intensity, and volatility contributes to a more accurate account of their diffusion. The results obtained from the social network analysis reveal substantial differences in the social pathways of diffusion. Social diffusion significantly correlates with the frequency and temporal usage profiles of neologisms. However, the network visualisations and metrics identify neologisms whose degrees of social diffusion are more limited than suggested by their overall frequency of use. These include, among others, highly volatile neologisms (e.g., poppygate) and political terms (e.g., alt-left), whose use almost exclusively goes back to single communities of closely-connected, like-minded individuals. I argue that the inclusion of temporal and social information is of particular importance for the study of lexical innovation since neologisms exhibit high degrees of temporal volatility and social indexicality. More generally, the present approach demonstrates the potential of social network analysis for sociolinguistic research on linguistic innovation, variation, and change.

Collective patterns of social diffusion are shaped by individual inertia and trend-seeking

Social conventions change when individuals collectively adopt an alternative over the status quo, in a process known as social diffusion. Our repeated trials of a multi-round experiment provided data that helped motivate the proposal of an agent-based model of social diffusion that incorporates inertia and trend-seeking, two behavioural mechanisms that are well documented in the social psychology literature. The former causes people to stick with their current decision, the latter creates sensitivity to population-level changes. We show that such inclusion resolves the contradictions of existing models, allowing to reproduce patterns of social diffusion which are consistent with our data and existing empirical observations at both the individual and population level. The model reveals how the emergent population-level diffusion pattern is critically shaped by the two individual-level mechanisms; trend-seeking guarantees the diffusion is explosive after the diffusion process takes off, but inertia can greatly delay the time to take-off.

Home as a mixture of spaces during the COVID-19 pandemic: The case of migrant families in Poland

The spread of the coronavirus has led to significant modifications in the majority of social and private institutions. For most families, home is now the location of many activities that are usually kept separate, such as work, school, entertainment, and socialising. Migrant families, for whom the school was the primary place for socialising, were forced to “host” school at home. As a result, migrant families’ homes have been reconstructed from a private household and intimate dwelling place into a mixture of spaces. This paper applies the theory of social diffusion developed by Dodd and Winthrop, and the concept of social solvation designed by Sarnowska et al., to study the diffusion of places at the time of lockdown. The data are derived from a qualitative study of migrant families in Poland during the school shutdown. This study investigates how the mixture of various places within the home has affected the lives of family members.

Divided by the Rainbow: Culture War and Diffusion of Paleoconservative Values in Contemporary Poland

Over the last decade, representations of the rainbow were repeatedly disputed in Poland, revealing the country’s ongoing socio-political changes and its drift away from the generally liberal and secular values of the European mainstream. These cases show a political growth and an increasing social diffusion of Polish ‘national paleoconservatism.’ The aim of this article is to (1) discuss the intellectual roots of this distinct form of conservatism built upon the confrontational notions of national identity, patriotism, and Catholicism; (2) propose a novel concept in the studies of Polish politics (‘national paleoconservatism’); and (3) present the social diffusion of such conservatism based on conflicts over representations of the rainbow. By combining the historical and intellectual background with the contemporary case studies, the authors aim to facilitate a deeper understanding of the vitality of national conservative ideas among internationally unknown conservative intellectuals, who participate in a discursive ‘culture war’ against their liberal, progressive and secular opponents in present-day Poland. The ideological conflicts revolve around the meaning of Polish national identity, the essential character of the country’s culture, and the position of Poland within the framework of European integration.

Diffusion

The chapter discusses the nature of the process of diffusion as a feedback-loop process and explains its contribution to the conventionalization of innovations, to linguistic variation, change, and persistence. The chapter is divided into sections portraying spatial diffusion, social diffusion, and stylistic diffusion as highly dynamic, potentially reversible, and therefore largely unpredictable. Aspects discussed include various models of spatial diffusion (e.g. the gravity model and the cascade model), the S-curve model of the social diffusion of innovations, as well as processes such as standardization, colloquialization, and vernacularization. It is highlighted that all three dimensions of diffusion must always be kept in sight. This is illustrated by discussing the variable -ing vs -in as a standard example of what Labov (2001) calls a ‘stable sociolinguistic variable’.

Individuo e comunità di fronte alla paretimologia

This paper deals with folk etymology from the vantage point of sociolinguistics. After a critical overview of the concepts of «parole-Volksetymologie» and «langue-Volksetymologie» (Heike Olschansky), a new dichotomy based on the Coserian couple of habla (‘speech’; It. discorso) and norma (‘norm’) is proposed, with the aim of depicting the social diffusion of folk etymology. The categories of «paretimologia di discorso» (‘speech folk etymology’) and «paretimologia di norma» (‘norm folk etymology’) are thus coined and discussed, the examples being taken mainly from Italian and the Italoromance dialects.