Article Summary: “Pictures into Words” by Brian Stewart
“Pictures into Words” by Brian Stewart describes a study comparing user indexing, i.e. crowdsourced tagging, with professional indexing. The article first summarizes Panofsky’s and Shatford’s methods for classifying images. Panofsky outlined three levels of subject matter/meaning: Pre-iconographical description (objects or events) Iconographical analysis (themes) Iconographical interpretation (meaning) Shatford emphasized two dimensions of images, ‘of’ and ‘about’ (sometimes called an image’s ofness and aboutness .) Shatford also defined four facets of an image: who, what, where, and when. Stewart argues that indexers have traditionally taken a positivist approach by labeling mostly specific, objective subjects. Today, however, users are in greater need of abstract subjects (interpretive indexing). The article gives the example of abstract subjects like “happy” or “peace.” Part I of the study examined 11 professional indexers. Stewart broke down the subject t...