MIT researchers present an automated, objective and transparent data-driven method for measuring media bias. The study analyses roughly a million articles from about a hundred newspapers for bias on various news topics, maps the newspapers into a two-dimensional media bias landscape, and shows that the data-driven results agree well with human-judgement classifications.

Here is a quick read: MIT’s Automatic Data-Driven Media Bias Measurement Method Achieves Human-Level Results.

The paper Machine-Learning Media Bias is on arXiv.

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