Editors’ Choice: Teaching with Arclight and Predict, Observe, Explain (POE)

Project Arclight began two years ago with an idea. If researchers can use Twitter analytics to study trends in discussions of contemporary media, then what if we treated historic trade papers and fan magazines like a giant Twitter stream and explored trends in film and media history? We worked on refining this idea, received a grant, kept working on it, and — just today! — publicly launched our software at http://search.projectarclight.org.

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This content was selected for Digital Humanities Now by Editor-in-Chief Amanda Regan based on nominations by Editors-at-Large: Antonio Jimenez-Munoz, Jan Lampaert, María Cumplido, Rebecca Napolitano, Danae Tapia, Leigh Bonds, and Covadonga Lamar