How Narrative Mutation Tracking Works
When a news story breaks, the initial facts are often straightforward. But as the story spreads across outlets, each source adds its own framing, emphasis, and political spin. Our Narrative Mutation tracker groups articles about the same event and shows you exactly how the story's presentation changes from source to source.
Framing Comparison
We compare how different outlets frame the same event. One source might call a protest "citizens demanding rights" while another calls it "disruption of public order." These framing differences reveal editorial bias that's often invisible when reading just one source.
Drift Detection
Our AI tracks when narratives drift from the original facts. If early coverage is factual but later articles add unverified claims or political spin, we flag that drift — helping you distinguish original reporting from embellished retellings.
Frequently Asked Questions
What is narrative mutation in news?
Narrative mutation is how the same story gets reframed as it spreads across sources. The original facts may stay the same, but the framing, emphasis, and political spin can shift dramatically. We track these changes over time.
How do different news channels cover the same story differently?
We group articles about the same event and compare their political lean, sentiment, and key phrases. This reveals how sources add spin - one might frame a protest as 'citizens demanding rights' while another calls it 'mob violence'.
Can you detect fake news spread?
We track how narratives change as they spread, which can reveal when misinformation enters the cycle. If early coverage is factual but later coverage adds unverified claims, we can identify that drift in our timeline.