OpenAlex
metadata only
Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry
The release of openly available, robust natural language generation algorithms (NLG) has spurred much public attention and debate. One reason lies in the algorithms' purported ability to generate humanlike text across various domains. Empirical evidence using incentivized tasks to assess whether peo
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Authorship in artificial intelligence‐generated works: Exploring originality in text prompts and artificial intelligence outputs through philosophical foundations of copyright and collage protection#203236
- Generative AI and Sociorhetorical Views of Writing#708753
- Sociocommunicative functions of a generative text: the case of GPT-3#77894
- Attribution Quality in AI-Generated Content:Benchmarking Style Embeddings and LLM Judges#984078
- Using Layered Scaffolding to Protect the Writing Process in the Age of AI#127931
Record · ID 1091992
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive