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Perceptions of Social Roles Across Cultures

  • MeiXing DongEmail author
  • David Jurgens
  • Carmen Banea
  • Rada Mihalcea
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11864)

Abstract

In this paper we introduce a data set of social roles and their aspects (descriptors or actions) as emerging from surveys conducted across a sample of over 400 respondents from two different cultures: US and India. The responses show that there are indeed differences of role perceptions across the cultures, with actions showcasing less variability, and descriptors exhibiting stronger differences. In addition, we notice strong shifts in sentiment and emotions across the cultures. We further present a pilot study in predicting social roles based on attributes by leveraging dependency-based corpus statistics and embedding models. Our evaluations show that models trained on the same culture as the test set are better predictors of social role ranking.

Keywords

Social role perceptions Cultural differences Word associations Cultural biases Natural language processing Word representations 

Notes

Acknowledgments

This material is based in part upon work supported by the Michigan Institute for Data Science, by the National Science Foundation (grant #1815291), and by the John Templeton Foundation (grant #61156). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the Michigan Institute for Data Science, the National Science Foundation, or the John Templeton Foundation.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • MeiXing Dong
    • 1
    Email author
  • David Jurgens
    • 1
  • Carmen Banea
    • 1
  • Rada Mihalcea
    • 1
  1. 1.University of MichiganAnn ArborUSA

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