Explore the words most likely to follow from a particular person or movement using predictive elements. These elements are colored based on party affiliation and vary in size depending on the likelihood they are to follow from a specific person or movement.
A simple 2D scatterplot showcasing the daily tweet distribution of various languages on an hourly basis. This distribution is based on Twitter data gathered during the Gaza Attacks of 2014.
An extensive breakdown of the various users from the Parler network. This enables us to analyze the different characteristics of a user's activity such as their average sentiment, verification status, etc.