Our weighting algorithm captures the effect that individual articles with low reliability or high bias have on overall perceptions of the news source. We rate all types of articles, including those labeled analysis or opinion by the news source, and the dominant factor for how we select articles from a page is prominence.Įach overall source score is a weighted average of the individual article scores. We typically have at least 15 articles rated per web source, but for larger sources (such as the New York Times and Washington Post) we have over 100 articles in our sample. Sometimes articles are rated by larger panels of analysts for various reasons.įor each news source, we pick a sample of articles that are most prominently featured on that source’s website over several news cycles. Each article is rated by at least three human analysts with balanced political viewpoints: one who self-identifies as right-leaning, one as center-leaning, and one as left-leaning. Overall news source scores are generated based on scores of individual articles. For more detail, please see our Methodology page. The following description is a summary of our methodology.
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