What Type of Data Are Images?

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Images are an intriguing source of data for social scientists. Increasingly, the phrase “images as data” implies big data, digitized images, and quantitative analyses with elements of machine learning. This perspective, however, obscures the many other ways to conceive of what images are as data for social scientists. For example, big data, machine learning image researchers rely on labeled data to build classification algorithms. The process of labeling the data is essentially content analysis, a familiar tool to qualitative researchers. Thus, quantitative analyses are built on qualitative approaches, and both are a potentially valid way to use images to better understand the world. This chapter reviews current trends in images-as-data research while considering how the complicated nature of meaning derived from images lends itself to a pluralistic research approach. The chapter provides four guiding questions to use when embarking on or evaluating image research in political science.
Original languageEnglish (US)
Title of host publicationOxford Handbook of Engaged Methodological Pluralism in Political Science
EditorsJanet M. Box-Steffensmeier, Dino P. Christenson, Valeria Sinclair-Chapman
PublisherOxford University Press
ISBN (Electronic)9780191964220
ISBN (Print)9780192868282
DOIs
StateAccepted/In press - 2024

Publication series

NameOxford Handbooks

Keywords

  • images as data
  • visual research methods
  • visual analysis
  • object recognition
  • image analysis

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