Human or Machine? A Survey on Machine-Generated Text Detection

As generative AI advances rapidly across education, research, medicine, and journalism, machine-generated text (MGT) raises questions about authenticity, ethics, and social impact. To ground this discussion, we conducted a linguistic analysis, covering phonology, morphology, syntax, semantics, lexic...

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	Zainab Ahmad, Miguel Torres-Ruiz, Ahmad Mahmood, Rolando Quintero, Iqra Ameer, Necva Bolucu
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2026-01-01
Serie:	IEEE Access
Ämnen:	Generative AI large language models (LLMs) machine-generated text detection multilingual corpora
Länkar:	https://ieeexplore.ieee.org/document/11404135/
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!