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Human Rights Texts: Converting Human Rights Primary Source Documents into Data.

Christopher J Fariss1, Fridolin J Linder1, Zachary M Jones1

  • 1Department of Political Science, Pennsylvania State University, University Park, PA, 16802, United States of America.

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Summary
This summary is machine-generated.

We released a new dataset of digitized human rights documents from major organizations. This corpus, with document-term matrices, aids research into evolving human rights practices and reporting.

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Area of Science:

  • Social Sciences
  • Political Science
  • International Relations

Background:

  • Human rights monitoring relies on extensive documentation.
  • Existing datasets often require manual coding, which is time-consuming.
  • Analyzing trends in human rights reporting is crucial for understanding global practices.

Purpose of the Study:

  • To introduce a novel, large-scale corpus of digitized primary source human rights documents.
  • To provide accompanying document-term matrices for computational analysis.
  • To facilitate scholarly research on the evolution of human rights practices and reporting.

Main Methods:

  • Digitization of primary source human rights documents from key monitoring agencies.
  • Creation of document-term matrices to quantify word frequencies across the corpus.
  • Review of existing human rights coding procedures and categorical indicators.

Main Results:

  • A publicly available, comprehensive corpus of digitized human rights documents.
  • Associated document-term matrices enabling quantitative analysis.
  • Contextualization of the corpus within the history of human rights data collection.

Conclusions:

  • The new corpus and datasets offer powerful tools for analyzing human rights trends.
  • Computational methods can complement traditional human coding in human rights research.
  • Future work will focus on dataset maintenance, updates, and accessibility.