Major developing stories with extensive ongoing coverage across multiple clusters and dozens of outlets.
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Methodology
How Clarrus analyses news stories
Clarrus uses advanced language models to cluster breaking news from hundreds of sources, extract key facts, and identify how different outlets frame the same events.
Our system runs continuously, processing new articles as they publish, grouping related coverage, and surfacing patterns in perspective and emphasis across the media landscape.
Our algorithmic approach aims to surface patterns objectively, but all automated analysis has limitations. Use Clarrus as one tool among many for understanding the news.
Bias Scoring
Understanding our perspective analysis
Clarrus analyzes article language patterns to identify editorial perspective and emphasis. Our scoring reflects detectable patterns in framing, source selection, and language choices.
Scores are automatically generated and may not capture the full nuance of professional journalism. We show these patterns to help you see how different outlets approach the same story.
Bias scores are algorithmic estimates, not definitive judgments. They help identify patterns across coverage but shouldn't be treated as absolute measures of outlet credibility or quality.
Editorial Independence
Our commitment to impartiality
Clarrus is an independent platform with no political affiliations, media partnerships, or external editorial influence.
Our algorithms process news coverage without human curation or intervention. We don't editorialize, endorse perspectives, or favor particular sources.
We believe informed citizens benefit from seeing how different outlets cover the same events, and we're committed to surfacing those patterns objectively.
Clarrus is independently operated and receives no funding from media organizations, political groups, or advocacy organizations.