Mapping public opinion on controversial events.

For my theory course during Major 2.1 @ WdKA, I designed a visual essay depicting variation in public opinion following a controversial event (in this case, the Cambridge Analytica scandal), by performing sentiment analysis on ~4000 tweets regarding the event to classify them as positive or negative (with a threshold set to discount neutral tweets). I repeated the same experiment with comments from 4 Reddit threads about the same event.

The visualisation itself is designed to abstract the data as little as possible. It shows the ratio of positive-to-negative comments, as well as the aggregate length of said comments.