Can AI reduce the reputation premium in knowledge diffusion? Evidence from SSRN marketing working papers

Abstract The increased accessibility of generative artificial intelligence (AI) is reshaping how people write and communicate, including how academics produce and disseminate knowledge. We examine whether AI assistance in academic writing alters the diffusion advantage associated with institutional prestige. Using 2361 marketing working papers posted on the Social Science Research Network (SSRN) after the release of ChatGPT in November 2022, we measure AI assistance in abstracts using a detection model and study how it affects paper downloads conditional on abstract views. By focusing on downloads given abstract views, we capture the conversion from abstract reading to download decisions while accounting for platform growth and differences in visibility. We find evidence of a diffusion premium associated with top-tier institutional affiliations. Importantly, AI assistance in abstracts significantly attenuates this premium, narrowing the diffusion gap between papers from prestigious and less prestigious institutions.

Authors

Publication Details

Journal
Marketing Letters
Published
2026-05-30
DOI
https://doi.org/10.1007/s11002-026-09827-4
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Can AI reduce the reputation premium in knowledge diffusion? Evidence from SSRN marketing working papers

Wooyong Jo, Jie Li
Marketing Letters
Artificial Intelligence in Healthcare and Education
article

Can AI reduce the reputation premium in knowledge diffusion? Evidence from SSRN marketing working papers

Wooyong Jo, Jie Li
article en

Abstract

Abstract The increased accessibility of generative artificial intelligence (AI) is reshaping how people write and communicate, including how academics produce and disseminate knowledge. We examine whether AI assistance in academic writing alters the diffusion advantage associated with institutional prestige. Using 2361 marketing working papers posted on the Social Science Research Network (SSRN) after the release of ChatGPT in November 2022, we measure AI assistance in abstracts using a detection model and study how it affects paper downloads conditional on abstract views. By focusing on downloads given abstract views, we capture the conversion from abstract reading to download decisions while accounting for platform growth and differences in visibility. We find evidence of a diffusion premium associated with top-tier institutional affiliations. Importantly, AI assistance in abstracts significantly attenuates this premium, narrowing the diffusion gap between papers from prestigious and less prestigious institutions.

Marketing LettersVol. 37(1)
Quality Education
Openalex Percentile: Top 8%
Artificial Intelligence in Healthcare and Education
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