This work retrieves a list of the most recent global tweets.
A computer program reads 100 tweets at a time and generates a a colour value based on the content of the messages - (yellow for positive tweets and blue for negative).
The intensity of the colour is defined by the perceived level of positivity/negativity in the text. The more vivid the yellow the more positive the world is conversly the deeper the blue the more negative.
This colour data is updated to the webpage when it becomes avalible. In this way this work visualises the expression of human emotion globally in real time.