mlsanityData to 14 Oct 2026

American cultural regions mapped through the lexical analysis of social media

arXiv 2208.07649 ↗First posted 16 Aug 2022cs.CL cs.CY cs.SIcited by 3

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Abstract (arXiv)

Cultural areas represent a useful concept that cross-fertilizes diverse fields in social sciences. Knowledge of how humans organize and relate their ideas and behavior within a society helps to understand their actions and attitudes towards different issues. However, the selection of common traits that shape a cultural area is somewhat arbitrary. What is needed is a method that can leverage the massive amounts of data coming online, especially through social media, to identify cultural regions without ad-hoc assumptions, biases or prejudices. This work takes a crucial step in this direction by introducing a method to infer cultural regions based on the automatic analysis of large datasets from microblogging posts. The approach presented here is based on the principle that cultural affiliation can be inferred from the topics that people discuss among themselves. Specifically, regional variations in written discourse are measured in American social media. From the frequency distributions of content words in geotagged Tweets, the regional hotspots of words' usage are found, and from there, principal components of regional variation are derived. 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. It uncovers a manifest North-South separation, which is primarily influenced by the African American culture, and further contiguous (East-West) and non-contiguous divisions that provide a comprehensive picture of today's cultural areas in the US.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 9 of its 66 references that are in the map. First posted on arXiv 16 Aug 2022.

Builds on

9 of 66 references.

References · 9

  1. 2015Computational Sociolinguistics: A Surveycited by 35
  2. 2020Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twittercited by 15
  3. 2017Dialectometric analysis of language variation in Twittercited by 14
  4. 2014Crowdsourcing Dialect Characterization through Twittercited by 11
  5. 2018Socioeconomic Dependencies of Linguistic Patterns in Twitter: A Multivariate Analysiscited by 9
  6. 2015Confounds and Consequences in Geotagged Twitter Datacited by 8
  7. 2017Mapping the Americanization of English in Space and Timecited by 6
  8. 2018Quantifying the dynamics of topical fluctuations in languagecited by 6
  9. 2021Capturing the diversity of multilingual societiescited by 3

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Citing papers per year: 2023: 2; 2024: 0; 2025: 1.

3 papers.