Recognizing Is Not Reversing: A Controlled Inversion Test of Fact-Preserving News Framing
Paper recorded by Signals 4 on 2026-09-10 in cs.AI. Abstract reproduced from arXiv; link to the original below.
Published 2026-09-10 on arXiv · recorded by Signals 4 on 2026-09-11
Category: cs.AI · 人工智能 · first seen 2026-09-11
Abstract
Large language models (LLMs) are increasingly used to analyze and rewrite news, yet current framing studies mainly evaluate generation, detection, or whether rewritten text appears more neutral. They do not directly show whether a model can undo a known framing transformation while keeping the facts fixed. We introduce a controlled inversion test over three established textual realizations of fram
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Cite this page: Recognizing Is Not Reversing: A Controlled Inversion Test of Fact-Preserving News Framing: the #119 most recent of 300 cs.AI papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/recognizing-is-not-reversing-a-controlled-inversion-test-of-fact-preserving-news.html
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