SEEK uses adaptive semantic chunking to create complete evidence units and fine-tunes multilingual LLMs with LoRA, achieving up to 20% better macro-F1 on fact-checking datasets compared to baselines.
Lost in translation: using global fact-checks to measure multilingual misinformation prevalence, spread, and evolution
2 Pith papers cite this work. Polarity classification is still indexing.
fields
cs.CL 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Survival analysis of three years of X posts shows conspiracy claims with greater semantic mutations have substantially longer lifespans, linked to changes in pronouns, social words, cognitive terms, and actor-action-target structures.
citing papers explorer
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SEEK: Semantic Evidence Extraction via Adaptive ChunKing for Multilingual Fact-Checking
SEEK uses adaptive semantic chunking to create complete evidence units and fine-tunes multilingual LLMs with LoRA, achieving up to 20% better macro-F1 on fact-checking datasets compared to baselines.
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Language Mutations Sustain the Persistences of Conspiracy Theories on Social Media
Survival analysis of three years of X posts shows conspiracy claims with greater semantic mutations have substantially longer lifespans, linked to changes in pronouns, social words, cognitive terms, and actor-action-target structures.