This idea was born as a result of Donald Trump, Brexit and Pauline Hanson. We decided that an "out-of-touch" index what sorely needed by the voting populace to indicate how aligned government policy was with voter sentiment. We analysed refugees, detention centres and immigration - the hottest topics in the current political landscape.
The datasets we used were: the ABC Gateway API, the Australian government press releases and social media metadata related to the articles from Facebook. We scraped content data related to refugees and immigration with the use of IBM Watson technologies and applied the IBM AlchemyLab Emotion Analysis API to determine sentiment. By doing this, we then correlated the feelings of the population with the behaviour of the government (eg: "Government closes 17 detention centres"). The feelings were broken down into Joy, Anger, Fear, Disgust and Happiness, with a number assigned to each depending on the strength of each emotion. The result was an accessible, easy to understand data visualisation. Graphs, maths and a whole lot of colour.