Editors’ Choice: Predicting Social Trends from Non-photographic Images on Twitter

Humanists use historical images as sources of information about social norms, behavior, fashion, and other details of particular cultures, places and periods. Dutch Golden Era paintings, works by French Impressionists, and 20th century street photography are just three examples of such images. Normally such visuals directly show objects of interests such as social scenes, city streets, or people’s dresses. But what if masses of images shared on social networks contain information about social trends even if these images do not directly represent objects of interest? This is the question we investigate in our study.

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This content was selected for Digital Humanities Now by Editor-in-Chief Amanda Morton based on nominations by Editors-at-Large: Hillary Richardson, Daniel Lynds, Harika Kottakota, Heriberto Sierra, Shawn Martin, Chelsea Gunn, Heather Hill, Katie Hannan, Nagothu Naresh Kumar, Laura Vianello, and Jill Buban