What is it about?

We have developed an architecture using pre-trained bias aware large language models and associated image with the respective article that given a news article and the picture with it gives the relevant facts and cuts out the bias in the text. For training purposes we have used articles of a single topic from three different sources each with different alignment.

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Why is it important?

Bias free news is an important part of the society. It helps people to judge the world not from some predefined viewpoint but more rationally. It makes the facts associated with the article more clear. This promotes healthy discourse about the different issues in the society.

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This page is a summary of: Breaking Bias: A Context-Aware Multimodal Framework for Detecting and Neutralizing Ideological Bias in News, ACM Transactions on Knowledge Discovery from Data, January 2026, ACM (Association for Computing Machinery),
DOI: 10.1145/3789258.
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