Kalev's latest analysis for the Washington Post uses the Internet Archive's TV Political Ad Archive of 267 campaign ads airing on monitored television stations over the last several months, split them into a sequence of images, one per second, and ran them through Google's neural network Cloud Vision API to catalog the visual contents of each frame including major objects, activities, and themes it depicts, extract any recognizable text, estimate the geographic location it captures, and identify the presence and emotional expression of any human faces. Several high-level trends are summarized in the article and you can also download the full JSON data and image frames to run your own analyses.
What Does Artificial Intelligence See When It Watches Political Ads?
