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Found 7 papers, 1 papers with code
American cultural regions mapped through the lexical analysis of social media
Through a hierarchical clustering of the data in this lower-dimensional space, this method yields clear cultural areas and the topics of discussion that define them.
Mapping the Americanization of English in Space and Time
As global political preeminence gradually shifted from the United Kingdom to the United States, so did the capacity to culturally influence the rest of the world.
Semantic homophily in online communication: evidence from Twitter
An important question to researchers and in practice can be tackled, as we present here: understanding the exact mechanisms of interplay between these tendencies and the underlying social network structure.
The happiness paradox: your friends are happier than you
Our results reveal that popular individuals are indeed happier and that a majority of individuals experience a significant Happiness paradox.
Topical differences between Chinese language Twitter and Sina Weibo
Using a large corpus of Weibo and Chinese language tweets, covering the period from January $1$ to December $31$, $2012$, we obtain a list of topics using clustered \#tags that we can then use to compare the two platforms.
Learning about Spanish dialects through Twitter
This paper maps the large-scale variation of the Spanish language by employing a corpus based on geographically tagged Twitter messages.
Crowdsourcing Dialect Characterization through Twitter
We perform a large-scale analysis of language diatopic variation using geotagged microblogging datasets.
