In the In-Between
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In the In-Between

  • About
  • Features
    • Conversations
    • Portfolios
    • Book Reviews
    • Profiles
    • Journal of Digital Imaging Artists Archive
Portfolios

Go ogle by Meggan Gould

November 22, 2013
sunset

Sunset, from the series, Go ogle. © Meggan Gould.

Editor’s Note: This feature was originally published on our previous platform, In the In-Between: Journal of Digital Imaging Artists, and the formatting has not been optimized for the new website.

Statement: Through the Go ogle series I seek to examine the visual experience of the internet, proposing a visual means of exploring encounters with the increasingly ubiquitous screen-based landscapes through which we routinely meander. Although these contemporary landscapes may be composed of gifs and jpegs, bits and bytes, as opposed to the trees, bushes, and buildings of conventional landscape, they are nonetheless a new arena laden with visual stimuli within which we move—scrolling, moving backwards or forwards, opening and closing new windows on new imagery and new paths.

 

parthenon

Parthenon, from the series Go ogle. © Meggan Gould.

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The Google search engine has reached iconic status in a few short years, entering the popular lexicon as a noun, a verb, an idea, a listed stock. Its ubiquity is a testament to the widespread use of new information technologies as well as a gradual shift in our interaction with information—in both textual and visual forms—attributable in large part to new forms of displaying and categorizing vast quantities of data. Google’s Image Search function is based on an analysis of the text on the page adjacent to an image, image name, and unspecified “other factors;” from these factors image content is deduced in response to a query. In the search engine process, there is no involvement of human judgment to define the visual content of individual drawings, photographs, clip art, or animations; unexpected, often inexplicable, connections between text and imagery occur frequently.

 

che guevara

Che Guevara, from the series Go ogle. © Meggan Gould.

 

Polaroid

Polaroid, from the series Go ogle. © Meggan Gould.

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The images in the Go ogle series are the results of contemporary encounters with the virtual landscape of the internet. They are composite images, mathematical averages of the first 100 images retrieved from a Google search engine query for a specific word or phrase. Each downloaded image relinquished its size, shape, and the clarity of its individual pixels in its merger with the other results from the query. The results, a visualization of intersections between Boolean logic and the popular imagination, are more often than not a hopeless jumble of unidentifiable pixels—but occasionally a recognizable form does emerge. Truly iconic imagery is elusive, particularly considering the glut of computer graphics through which internet spiders and archivers crawl daily; only a small fraction of searches retain any degree of legibility through the averaging process. Like time-lapse photographs of movement through physical space, the Go ogle Series explores how movement through virtual landscapes similarly obliterates detail, exploring the aesthetic potential within the motion itself.

 

pleiades

Pleiades, from the series Go ogle. © Meggan Gould.

 

barcode

Barcode, from the series Go ogle. © Meggan Gould.

 

Headshot

Headshot, from the series Go ogle. © Meggan Gould.

 

boeing+737

Boeing 737, from the series Go ogle. © Meggan Gould.

 

clouds

Clouds, from the series Go ogle. © Meggan Gould.

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Bio: Meggan Gould is a photographer living and working in Albuquerque, New Mexico, where she is an Assistant Professor of Art at the University of New Mexico. She received her MFA from the University of Massachusetts – Dartmouth, and her BA from the University of North Carolina at Chapel Hill. Her photographs have been featured in solo and group exhibitions throughout the United States and internationally. She was a resident at Light Work in 2009.

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@ In the In-Between: Journal of New and New Media Photography, 2020.