This talk focuses on using Python to acquire LIVE open-source intelligence from tweets and the associated images, videos, and translated emojis from geographically bounded areas anywhere in the world. Twitter routinely removes tweets and images from their platform based on policy violations and other influences. By acquiring them as they occur provides both timely access to live events, as well as the ability to preserve future redacted information. Chester will provide details of the approach including snips of Python code along with a live demonstration.

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