INTERSECTING
SENTIMENT

A data visualisation of discrimination experiences based on a dataset of reddit posts analyzed through AI.

The project Intersecting Sentiment aims to understand and visually represent intersectional discrimination — a concept that recognizes the interconnectedness of various forms of discrimination based on multiple social identities.

By employing data visualization and AI analysis methods, the project seeks to shed light on the complex interconnections and provide new perspectives on the multilayered nature of these discriminatory experiences. To accomplish this, an extensive dataset was curated from discrimination experiences shared on the online forum Reddit. Using the ChatGPT API, the dataset was analyzed for sentiment, examining language, emotional content, and forms of discrimination. The analysis results were then translated into a series of moving posters created with basil.js, each showcasing different layers of data visualization.