On May 14th, 2024, EScholar published a significant study on racial bias analysis in literature spanning from 1850 to 2000.

The study employs advanced techniques such as natural language processing, Google Ngrams, time-adjusted toxicity, semantic axes, and sentiment analysis to trace socio-political evolution.

This research introduces a novel methodology for understanding the progression of bias in literary works.

The study's outcomes are aimed to enhance the comprehensive grasp of historical and cultural biases in literature.

Accessibility is emphasized, with the author providing both terminal and lite versions of the research for scholars.

Related literature on the topic is also available, supporting broader learning and discussion.