A study analyzed 12,750 arXiv papers and found that approximately one-third of new submissions appeared to be machine-written. The measurement method revealed limitations, including a tendency for detection tools to falsely identify some genuine human writing as AI-generated.

Mainstream LLM-generated text can be distinguished from human-written content using traditional machine learning models due to strong statistical patterns. Many AI plagiarism checkers likely utilize these detection methods.

Pangram's Chrome extension scans social media posts to identify and flag AI-generated content. This tool aims to help users make informed decisions about the content they engage with on platforms like LinkedIn.