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Tracking group identity through natural language within groups.

Ashwini Ashokkumar1, James W Pennebaker2

  • 1Polarization and Social Change Lab, 450 Jane Stanford Way Building 120, Room 201, Stanford, CA 94305, USA.

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Summary
This summary is machine-generated.

Language analysis reveals group identity strength through affiliation and reduced questioning. This method predicts online group retention and real-world outcomes like college enrollment, offering insights into collective behavior.

Keywords:
LIWCgroup identitygroup processeslanguage analysisnaturalistic observation

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Area of Science:

  • Social Psychology
  • Computational Linguistics
  • Digital Humanities

Background:

  • Social media provides vast behavioral data for studying group dynamics.
  • Written language in digital groups offers a unique window into identity processes.
  • Existing methods for measuring group identity strength are limited.

Purpose of the Study:

  • To develop and validate a language-based metric for assessing group identity strength.
  • To explore the utility of this metric in tracking online group dynamics.
  • To investigate the relationship between language markers of identity and real-world outcomes.

Main Methods:

  • Studies 1a-1c: Developed language markers (affiliation, cognitive processing) from 873 participants' writings on group connections.
  • Study 2: Applied the 'unquestioning affiliation index' to 2,161 college students' essays.
  • Study 3: Analyzed Reddit conversations of 270,784 users in political online communities.

Main Results:

  • Language markers of high affiliation and low cognitive processing indicate stronger group identity.
  • The index predicted self-reported university identity and college retention.
  • The index predicted user retention in online communities and reflected temporal shifts in group membership.

Conclusions:

  • A language-based approach can effectively measure group identity strength.
  • This metric has significant potential for tracking and understanding group dynamics in digital spaces.
  • Language analysis offers a scalable and objective method for studying collective identity and behavior.