Advancing Political Bias Detection: A Novel High-Accuracy Model

Media bias is a persistent departure from the core values of objectivity and accuracy in journalism. Instead of presenting the facts objectively, media outlets and reporters frequently choose the storylines and specifics that will be included in their articles. Whether established or learned, biases have the power to dramatically influence people's views and attitudes in different societies and regions, which can lead to skewed assessments. This study intends to address the issue of biased and closed-minded attitudes in the media by introducing a novel approach leveraging deep learning. This approach beats the previous state-of-the-art models on accuracy on multiple datasets to identify political bias in the media. By highlighting these biases in political reporting we aim to offer a more unbiased evaluation of media coverage.