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Analyzing differences between discursive communities using dialectograms.

Thyge Enggaard1, August Lohse2, Morten Axel Pedersen1,3

  • 1Copenhagen Center for Social Data Science, University of Copenhagen, Copenhagen, Denmark.

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Summary
This summary is machine-generated.

This study introduces dialectograms, a new method using word embeddings to visualize how different communities use words. This approach reveals deeper insights into community discourse and word usage differences, aiding in understanding polarization.

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Area of Science:

  • Computational Linguistics
  • Social Network Analysis
  • Political Science

Background:

  • Word embeddings offer unsupervised methods for analyzing word usage variations across communities.
  • Existing research often focuses on identifying differing words, overlooking the richness of high-dimensional embedding spaces.
  • A comprehensive understanding requires methods that leverage the full embedding space to map nuanced word usage.

Purpose of the Study:

  • To develop and present dialectograms, a novel unsupervised visualization technique for exploring word usage within communities.
  • To introduce a new measure for quantifying word usage differences, addressing limitations of existing metrics.
  • To apply these methods to analyze discourse in US political subreddits, identifying patterns of polarization.

Main Methods:

  • Construction of dialectograms using word embeddings to visually represent characteristic word usage by community.
  • Development of a new quantitative measure for word usage divergence, designed to avoid biases towards low-frequency or polysemous words.
  • Application of dialectograms and the new measure to analyze text data from two US political subreddits.

Main Results:

  • Dialectograms effectively visualize the distinct ways different communities employ specific words.
  • The new measure successfully identifies significant differences in word usage, revealing stark affective polarization.
  • Analysis highlighted disagreements on the nature of political action and the necessity of political intervention in certain issues.

Conclusions:

  • Dialectograms offer a powerful tool for exploring the richness of word embedding spaces and community-specific language use.
  • The developed measure provides a robust way to quantify word usage differences, overcoming limitations of prior approaches.
  • These methods reveal significant political polarization in online discourse, particularly concerning politicians, political actions, and issue intervention.