Images tags are searchable and users can limit searches to a specific source.
Results can be sorted by date or popularity.
The machine methodically captures every image—almost 70,000 at this writing—posted by every Republican and Democratic presidential candidate on Facebook, Twitter, and Instagram. To provide the most complete picture of these social feeds, it includes images that candidates posted before they announced their campaigns, and from candidates who have dropped out.
We used a product called Clarifai to assign automatic tags for each picture, from “guns” and “church” to “coffee” and “vegetables.” Clarifai uses a deep learning algorithm known as a convolutional neural network to figure out the tags. (Essentially, it’s a statistical model that has been trained on large numbers of images labeled by humans.)
We chose this automated method because of the sheer number of images and the novelty of the technology. It also allows us to add images in real time as the campaigns post them.
Read the Complete Article
Direct to The Political Image Machine Database