Fair Finance: Assessing Geopolitical Bias in Transformer-Based NLP Models
Transformer-based sentiment analysis systems have become widespread in automated decision-making, particularly in the field of financial sentiment analysis. These models are easy to implement, inexpensive, and offer state-of-the-art performance in sentiment analysis. However, their rapid and broad adoption calls for careful evaluation of algorithmic bias in such models. Previous research has shown
