Niche as a determinant of word fate in online groups

TL;DR

This paper investigates how the concept of a word niche, defined by the range of users and topics, influences word frequency changes in online communities, highlighting the importance of niche size over frequency in language dynamics.

Contribution

It introduces a method to quantify word niches and demonstrates their significant role in short-term vocabulary evolution, surpassing the influence of word frequency alone.

Findings

Word niche size strongly predicts frequency changes.

Niche size impacts vocabulary dynamics more than frequency.

Individual and social factors drive short-term word fluctuations.

Abstract

Patterns of word use both reflect and influence a myriad of human activities and interactions. Like other entities that are reproduced and evolve, words rise or decline depending upon a complex interplay between {their intrinsic properties and the environments in which they function}. Using Internet discussion communities as model systems, we define the concept of a word niche as the relationship between the word and the characteristic features of the environments in which it is used. We develop a method to quantify two important aspects of the size of the word niche: the range of individuals using the word and the range of topics it is used to discuss. Controlling for word frequency, we show that these aspects of the word niche are strong determinants of changes in word frequency. Previous studies have already indicated that word frequency itself is a correlate of word success at historical time scales. Our analysis of changes in word frequencies over time reveals that the relative sizes of word niches are far more important than word frequencies in the dynamics of the entire vocabulary at shorter time scales, as the language adapts to new concepts and social groupings. We also distinguish endogenous versus exogenous factors as additional contributors to the fates of words, and demonstrate the force of this distinction in the rise of novel words. Our results indicate that short-term nonstationarity in word statistics is strongly driven by individual proclivities, including inclinations to provide novel information and to project a distinctive social identity.