Systems and methods for determining credibility at scale

This system evaluates the credibility and bias of a web page's content by analyzing its topic, emotional tone, and subjectivity using a machine learning model. It then displays these calculated credibility and bias scores visually to the user, but only if the system has not previously stored a score for that specific page.

Why it matters: Filed before advanced large language models made sentiment, topic, and subjectivity analysis highly accurate and accessible. These models could now significantly enhance the training and performance of the credibility machine learning model.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning model, data pipeline, software logic

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