{"ID":2872459,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.08306","arxiv_id":"2509.08306","title":"Who Gets Seen in the Age of AI? Adoption Patterns of Large Language Models in Scholarly Writing and Citation Outcomes","abstract":"The rapid adoption of generative AI tools is reshaping how scholars produce and communicate knowledge, raising questions about who benefits and who is left behind. We analyze over 230,000 Scopus-indexed computer science articles between 2021 and 2025 to examine how AI-assisted writing alters scholarly visibility across regions. Using zero-shot detection of AI-likeness, we track stylistic changes in writing and link them to citation counts, journal placement, and global citation flows before and after ChatGPT. Our findings reveal uneven outcomes: authors in the Global East adopt AI tools more aggressively, yet Western authors gain more per unit of adoption due to pre-existing penalties for \"humanlike\" writing. Prestigious journals continue to privilege more human-sounding texts, creating tensions between visibility and gatekeeping. Network analyses show modest increases in Eastern visibility and tighter intra-regional clustering, but little structural integration overall. These results highlight how AI adoption reconfigures the labor of academic writing and reshapes opportunities for recognition.","short_abstract":"The rapid adoption of generative AI tools is reshaping how scholars produce and communicate knowledge, raising questions about who benefits and who is left behind. We analyze over 230,000 Scopus-indexed computer science articles between 2021 and 2025 to examine how AI-assisted writing alters scholarly visibility across...","url_abs":"https://arxiv.org/abs/2509.08306","url_pdf":"https://arxiv.org/pdf/2509.08306v1","authors":"[\"Farhan Kamrul Khan\",\"Hazem Ibrahim\",\"Nouar Aldahoul\",\"Talal Rahwan\",\"Yasir Zaki\"]","published":"2025-09-10T06:05:34Z","proceeding":"cs.CY","tasks":"[\"cs.CY\"]","methods":"[\"Language Model\"]","has_code":false}