JASIST Editorial Note #8: 23 April, 2026
JASIST Editorial Note #8: 23 April, 2026
Thanking Reviewers and Updating the Journals AI-uses Policy
Steve Sawyer
This editorial contains two topics of importance to the Journal. The first is to celebrate our expert reviewers, some by name. Second, we share the most recent update of the Journal’s requirements to report all uses of artificial intelligence.
We begin by celebrating our expert reviewers. Peer review relies on expert reviewers voluntarily share their valuable insights with little recognition. This makes expert reviewers the scarcest resource in the peer review process. To this point, and once again, across 2025 about 1000 people reviewed a manuscript for JASIST: Thank you!
Listed below are the ‘top reviewers’ from 2025. One of our top reviewers is also a member of the Journal’s Editorial or Advisory Boards. Seven of the 2025 top reviewers were on the 2024 list. Top reviewers hail from 14 different countries and reflect the impressive diversity of JASIST and contemporary information science.
This acknowledgment of our colleagues who have generously reviewed manuscripts reflects our desire to say “thank you.” To achieve this recognition these reviewers needed to complete at least four reviews and receive high ratings for their review work. This exceptional work noted, every review matters and we honor and value everyone who has contributed their expertise. Indeed, Wiley—our publisher—sends each reviewer a certificate to thank you for your service to the Journal and our colleagues. Reviewers: please feel free to update your CV and note in your annual reviews that you have completed a review for JASIST!
—JASIST’s Top Reviewers for 2025—
JASIST’s top reviewers for 2025, in alphabetical order by last name:
Wenceslao Arroyo-Machado University of Granada, ES
Kevin Boyack SciTech Strategies, Inc.
Sarah Bratt University of Arizona, US
Jenny Bronstein Bar-Ilan University, IL
Yi Bu Peking University, CN
Sarah Buchanan University of California, Los Angeles, US
John Budd University of Missouri, US
Pei-Ying Chen University of Nebraska – Lincoln, US
Rebecca Frank University of Michigan, US
Hengyi Fu University of Alabama, US
Alex Glynn University of Louisville, US
Claudio Gnoli University of Pavia, IT
Robin Haunschild Max Planck Institute for Solid State Research, DE
Gouxiu He East China Normal University, CN
Libby Hemphill University of Michigan, US
Pamela Hoyte Queensland University of Technology, AUS
Isto Huvila Uppsala University, SE
Kai Li University of Tennessee, US
Jiqun Liu The University of Oklahoma, US
Jinxuan Ma Emporia State University, US
Chao Min Nanjing University of Science and Technology, CN
Heather O’Brien University of British Columbia, CA
Tami Oliphant University of Alberta, CA
Reijo Savolainen Tampere University, FI
Saguna Shankar University at Buffalo, US
Chen Xu Remnin University, CN
Huimin Xu University of Texas, US
Chengzhi Zhang Nanjing University of Science and Technology, CN
Yuxiang Zhao Nanjing University of Science and Technology, CN
Xiang Zheng University of Wisconsin, US
Second, the Journal’s stance regarding the many uses of generative artificial intelligence (AI) systems has been updated. As we have noted, the guidance will continue to evolve, but principles of acknowledgement, care, human control, and editorial discretion will frame the Journal’s thinking. The current guidance is available in the author guidance section of the Journal’s web presence and is repeated here:
Uses and Roles of Generative AI
The Journal is encouraged by the possibilities of machine learning and uses of generative artificial-intelligence (AI) systems. This noted, authors must declare all uses of generative AI in both the JASIST cover letter or ARIST expression of interest and in the manuscript itself. The declaration should be at a level of detail so that reviewers and readers can assess the effort.
Generative AI cannot be used to modify or solely analyze data. If Generative AI is used to create data, this must be acknowledged and justified. Generative AI systems cannot be co-authors. Generative AI systems cannot serve as reviewers.
Given the speed of change with these technologies, the Editor-in-Chief has discretion as to understanding and assessing author’s uses of Generative AI in support of their submissions. Please also see Wiley’s guidance on publishing ethics.
Manuscripts that use AI and do not report this, or use it in ways that violate the thoughtful policies that Wiley has developed (and that the Journal follows) will be returned without consideration.
Thank you for reading this note. Please consider submitting your work to JASIST, follow JASIST on LinkedIn and perhaps on X.
Steve Sawyer
Editor-in-Chief, JASIST
jasist@asist.org
Professor, Syracuse University’s iSchool
Cite this article in APA as: Sawyer, S. (2026, April 28). JASIST editorial note #8: 23 April, 2026. Information Matters. https://informationmatters.org/2026/04/jasist-editorial-note-8-23-april-2026/
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Steve Sawyer is on the faculty of Syracuse University’s School of Information Studies. His research focuses on the changing forms of work and organizing enabled through uses of information and communication technologies. This is done through detailed field-based studies of scientific collaborators, software developers, real estate agents, police officers, organizational technologists, and other information-intensive work settings. He has also been active in advancing sociotechnical approaches to studying computing collectively known as social informatics and emphasizing the sociotechnical basis of digital technologies. Sawyer’s work is published in a range of venues and supported by funds from the National Science Foundation, IBM, Corning, and a number of other public and private sponsors. Prior to returning to Syracuse, Steve was a founding faculty member of the Pennsylvania State University’s College of Information Sciences and Technology. He earned his Doctorate from Boston University in 1995.