Background Academic interest in the use of social media data is rapidly increasing. The
application of social media analysis in various domains is an emerging trend due to a …

In this article, we introduce a sociolinguistic perspective on language modeling. We claim
that language models in general are inherently modeling varieties of language, and we …

Since its original publication in 1997, Rosina Lippi-Green's English with an Accent has
inspired generations of scholars to investigate linguistic discrimination, social categorization …

Researching Language and Social Media: A Student Guide introduces the linguistic
frameworks currently used to analyse language found in social media contexts. This highly …

Recent computational sociolinguistic analyses of social media have emphasized the
potential of using orthographic variation as a proxy for speech, thereby permitting macro …

There is a growing trend in regional dialectology to analyse large corpora of social media
data, but it is unclear if the results of these studies can be generalized to language as a …

Distributional semantics embodies the idea that the context in which a word occurs reveals
the meaning of that word. In contemporary corpus linguistics, that idea takes shape in …

In this paper, we analyze double modal use in American English based on a multi-billion-
word corpus of geolocated posts from the social media platform Twitter. We identify and map …

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 …

In this paper we develop an empirical, big data approach to analyze how alt-right vernacular
concepts (such as kek and beta) were used on the notorious anonymous and ephemeral …