Narratives of inequality
This project examines global and country specific narratives of inequality. We analyse narratives across different dimensions of inequality, such as income, wealth, and health, with a special focus on gendered discourse.
By tracking online search interest in terms related to inequality across different countries and scraping data from news articles, social media, and forums, we seek to better understand how inequality is perceived, discussed, and framed worldwide. Utilising natural language processing (NLP), we identify dominant themes, egalitarian and anti-egalitarian frames and narratives, and assess sentiment variations, and compare regional differences in public discourse. We also examine patterns in global inequality discussions, such as those linked to macroeconomic performance and demographic composition, providing a data-driven perspective on evolving inequality narratives worldwide. In addition, we can analyse evidence on how such narratives are being internalised and reciprocally interact with perceptions of inequality and fairness views as evident from large-scale international household surveys.
