Contextuality and Contradictions: Exploring Real-World Identifications of AI-Generated Writing
Author1, Author2, Author3, Author4, Author5
Abstract
The paper investigates the practices and discourses surrounding AI identification in real-world contexts, revealing that such identifications are often motivated by pragmatic infelicity rather than specific textual features.
Reality Card
Real-world identifications of AI-generated writing are contextually dependent and often leverage sociolinguistic norms rather than merely identifying 'AI-like' features.
The study employs qualitative coding and computational analysis to reveal diverse evidentiary types used in AI identification.
The findings may be context-specific and influenced by the sociolinguistic norms of the groups studied, which could limit generalizability.
Paper to code
Verified implementation resources so builders can test the paper’s claims instead of stopping at the abstract.