Embracing A Mixed Methods Approach to Text as Data

Text has long been an important source of information in the social sciences. Historically, using text to measure a particular concept has required practitioners to read (and re-read) documents, making interpretive decisions along the way. In the humanistic social sciences, a great deal of weight is given to expert debate when evaluating the interpretation of texts. This generally means that the research community trusts a particular researcher’s interpretation up until another researcher challenges it. Therefore, within this humanistic tradition, using text as a source of information has typically been a highly qualitative method.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-10
DOI
https://doi.org/10.5281/zenodo.14062842
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
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article

Embracing A Mixed Methods Approach to Text as Data

Zenodo (CERN European Organization for Nuclear Research)
Computational and Text Analysis Methods
article

Embracing A Mixed Methods Approach to Text as Data

article en

Abstract

Text has long been an important source of information in the social sciences. Historically, using text to measure a particular concept has required practitioners to read (and re-read) documents, making interpretive decisions along the way. In the humanistic social sciences, a great deal of weight is given to expert debate when evaluating the interpretation of texts. This generally means that the research community trusts a particular researcher’s interpretation up until another researcher challenges it. Therefore, within this humanistic tradition, using text as a source of information has typically been a highly qualitative method.

Zenodo (CERN European Organization for Nuclear Research)
University of Michigan (US)
Quality Education
Openalex Percentile: Top 33%
Computational and Text Analysis Methods
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