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Related Experiment Videos

Using Twitter for Demographic and Social Science Research: Tools for Data Collection and Processing.

Tyler H McCormick1,2,3,4, Hedwig Lee1,4, Nina Cesare1

  • 1Department of Sociology, University of Washington, Seattle, WA, USA.

Sociological Methods & Research
|October 17, 2017
PubMed
Summary

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Researchers can now better extract demographic data from Twitter, enhancing social science research on user behavior and attitudes. This method improves the analysis of populations engaging with social media platforms.

Area of Science:

  • Social Sciences
  • Computational Social Science
  • Data Science

Background:

  • Twitter data offers insights into human behavior and attitudes.
  • Extracting demographic information from Twitter users is a significant challenge for social science research.
  • Existing methods for analyzing social media data have limitations in demographic assessment.

Purpose of the Study:

  • To develop and evaluate a reliable data processing approach for extracting demographic information from Twitter users.
  • To enhance the ability of social science researchers to leverage Twitter data for comprehensive analysis.
  • To address the challenge of gleaning demographic characteristics of populations engaging with social media.

Main Methods:

  • Developed a data processing method to retrieve non-textual demographic information from Twitter user data.
Keywords:
Twitterattitudesdata collectiondemographicspopulation

Related Experiment Videos

  • Utilized data from Twitter users expressing an intention not to vote in the 2012 presidential election.
  • Evaluated the reliability and accuracy of the developed data retrieval techniques.

    • Main Results:

    • The proposed method successfully retrieves demographic information not explicitly encoded as text (e.g., image details).
    • The reliability of the techniques for demographic data extraction from Twitter was assessed.
    • The study identified challenges associated with this data collection strategy.

    Conclusions:

    • This approach offers a reliable method for social science researchers to obtain demographic data from Twitter.
    • Improved demographic analysis of social media users can significantly benefit demographic research.
    • Large-scale social media data holds potential for advancing demographic studies.