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Data science's cultural construction: qualitative ideas for quantitative work.

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This summary is machine-generated.

This study analyzed Twitter data to understand the evolving role of data scientists. Findings reveal that beyond commercial and technical aims, ethical considerations are increasingly shaping the definition of data science.

Keywords:
computational ethnographycomputational social sciencedata scienceemergenceexpertiseprofessionsreflexivitysocial network analysis

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Area of Science:

  • Social Sciences
  • Computer Science
  • Data Science

Background:

  • The role of "data scientists" has rapidly emerged and expanded.
  • Ambiguity surrounding the novel role of data scientists presents challenges.
  • Understanding the collective definition of data science is crucial.

Purpose of the Study:

  • To study the collective definition of data science on Twitter.
  • To explore the cultural perspective and emergent nature of data science.
  • To identify the purposes and topics discussed by data science accounts.

Main Methods:

  • Analysis of complementary datasets ranging from 1,025 to 752,815 tweets.
  • Examination of relations between accounts tweeting about data science.
  • Analysis of hashtags used to indicate purposes and discussed topics.

Main Results:

  • Initial findings confirm familiar commercial and technical motives.
  • Additional results highlight concerns with practical and ethical standards.
  • These ethical concerns emerge as a distinctive motive in defining data science.

Conclusions:

  • Provides local meaning for abstract datasets.
  • Offers a heuristic for navigating abundant data for insights.
  • Guides data scientists in professional positioning and future navigation.