12,445 papers · continuously updated · last export: 10 Aug 2026livingmeta.ai
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Research theme

AI Manuscript Writing

The AI Manuscript Writing theme comprises 661 papers in this corpus published between 2001 and 2026. Work here is dominated by Mixed Methods, Literature Review, Experimental. 5 open research gaps have been surfaced in this area.

Methodology profile

  • Mixed Methods92 (14%)
  • Literature Review77 (12%)
  • Experimental76 (11%)
  • Empirical Study72 (11%)
  • Case Study67 (10%)
  • Qualitative62 (9%)

Research domains

  • Academic Writing637 (96%)
  • Human-AI Collaboration10 (2%)
  • Doctoral Training4 (1%)
  • Scholarly Infrastructure3 (0%)
  • Research Productivity2 (0%)
  • Research Integrity2 (0%)

Frequent sub-topics

Generative AI in Korean language learning; responsible classroom integration · 1technology-enhanced writing instruction for EFL learners with GenAI integration · 1GenAI in academic writing: governance, agency, integrity · 1GenAI-assisted grading and automated assessment feedback · 1Vibe Coding as AI-assisted digital poetry, algorithmic co-authorship, remediation and textual reuse · 1ebook authors' folk theories about AI, standardization of creative practice, circumventing AI-detection markers · 1generative AI systems as culturally embedded storytellers, comparative analysis of ChatGPT and Doubao, multilingual AI outputs · 1Co-authorship with RAG systems in survey essay writing · 1

Open research gaps

  • Not explicitly stated in the abstract
  • The authors identify several future research directions: (1) whether predatory journals pay attention to authorship validity (described as "a topic that has yet to be explored"); (2) the need for upda
  • not_reported
  • The authors identify several research gaps: (1) How is literature written by AI currently defined? (2) What research questions arise from the establishment of AI in the literary market? (3) How is aut
  • The authors identify the need for: (1) clear institutional disclosure standards regarding GenAI use in manuscripts; (2) refined plagiarism detection tools and AI-audit mechanisms to capture both direc

Representative papers

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