DATA VISUALIZATION

Amnesty elaborated a methodology to track and evaluate hate speech sentences said by hundreds of candidates on their websites and social media accounts.

We had to transform this methodology into dynamic charts and graphics, in order to show all the different data at once: the topic of each sentence, how bad it is, who said it and where/when, which political party is doing worst, which candidate has said the highest number of sentences and much more. We built an intuitive backend to allow Amnesty’s team to upload the data every day during the campaign, and developed a stable frontend to visualize such data smoothly and encourage the user’s interaction with the charts.