REDUCE_AIGC: Stata module to reduce AIGC similarity in Word documents

Wu LiangHai (), Wu Hanyan () and Chen Liwen ()
Additional contact information
Wu LiangHai: Anhui University of Technology
Wu Hanyan: Nanjing University of Aeronautics and Astronautics
Chen Liwen: Anhui University of Technology

Statistical Software Components from Boston College Department of Economics

Abstract: reduce_aigc calls an enhanced Python script (reduce_word.py) to perform multiple text transformations on Microsoft Word (.docx) documents. It reduces the likelihood of being flagged as AI-generated content (AIGC) or plagiarized text, with full bilingual support (English/Chinese) and optimization for official similarity checks such as VIP.

Language: Stata
Requires: Stata version 12
Keywords: AI content; AIGC; bilingual English/Chinese (search for similar items in EconPapers)
Date: 2026-06-17
Note: This module should be installed from within Stata by typing "ssc install reduce_aigc". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/r/reduce_aigc.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/reduce_word.py program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/reduce_aigc.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/r/reduce_quickref.sthlp help file (text/plain)

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