Mining social networks for every scrap of information about our online lives is now common practice for marketers, academics, government agencies, and so on.
Text in tweets, blogs and other posts is valuable because it’s searchable, analyzable, and not terribly costly to crawl, fetch or store. But ongoing computer vision advancements have opened up the wealth of information encoded in images.
Earlier this week, researchers from University of California, Los Angeles described a way to analyze images to find protesters, to characterize their activities and to assess the level of violence depicted.
In a paper titled “Protest Activity Detection and Perceived Violence Estimation from Social Media Images,” Donghyeon Won, Zachary C Steinert-Threlkeld, and Jungseock Joo explore how imagery can be used to understand protests.