Use of artificial intelligence tools in the publishing process: expectations from publishers through author guidelines
Open accessAbstract
Introduction: The rapid integration of artificial intelligence (AI) into scholarly publishing has prompted publishers to develop policies that guide its ethical and practical use. This study explored the question, “What do publishers expect on the use of AI as portrayed in the author guidelines and AI publisher policies?” The investigation was guided by internationally recognized frameworks, including the STM ethical and practical guidelines on AI use, the Committee on Publication Ethics, the World Association of Medical Editors (WAME) recommendations on chatbots and generative AI in scholarly publishing, and the International Committee of Medical Journal Editors (ICMJE) standards. Methods: A qualitative research approach was employed, drawing from AI-related guidelines and policies from major scholarly publishers. Four publishers were purposively selected based on their global reach, relevance across multiple disciplines, and established AI policies. Data collection was conducted through document and web content analysis, which systematically extracted relevant information from publishers' websites. Results: A qualitative research approach was employed, drawing from AI-related guidelines and policies from major scholarly publishers. Four publishers were purposively selected based on their global reach, relevance across multiple disciplines, and established AI policies. Data collection was conducted through document and web content analysis, which systematically extracted relevant information from publishers' websites. The findings revealed that AI policies are not standardized across publishers; instead, each adopts its own unique rules regarding AI-assisted writing, authorship, peer review, and disclosure. Discussion: While prior studies have documented the prevalence of disclosure requirements and authorship prohibitions, the present study moves beyond inventory to critically examine how international frameworks are reflected, adapted, and contested within individual publisher policies, and to surface tensions around enforceability, equity, and disciplinary variability that remain underexplored in existing literature. Consequently, researchers are required to carefully consult the specific policies of their target publishers before submission. The study recommends that all stakeholders in the publishing process be informed about AI-related policies relevant to their roles. Authors should ensure that AI outputs are accurate, reviewers must remain vigilant about unauthorized AI use, and publishers should proactively communicate best practices to maintain integrity and transparency in the scholarly publishing process.
AI snapshot
Written from the paper’s full text.
TL;DR
This qualitative document analysis of AI policies from Emerald, Frontiers, Sage, and Taylor and Francis finds no standardized publisher approach to AI in scholarly publishing, though all four prohibit AI authorship and require disclosure. Policies converge on human accountability and peer-review confidentiality but diverge on image generation, literature review assistance, and enforcement.
Key findings
- Across all four publishers, AI tools cannot be listed as authors, and human authors remain fully accountable for AI-assisted content; all four also require disclosure of AI use, per Table 2.
- The sharpest divergence concerns image generation: Emerald permits AI-created images if flagged and cited, Sage permits them with disclosure, and Frontiers prohibits them outright in some journals.
- All four prohibit editors and reviewers from sharing submitted manuscripts or peer review reports with publicly available AI tools, citing confidentiality, data security, and intellectual property leakage.
- Enforcement remains vague across all four publishers; Sage is the most explicit, stating that undisclosed generative AI use would lead to “appropriate corrective action,” while others describe expected conduct without specifying penalties, detection procedures, or escalation pathways.
Methods
- Qualitative research design using document and web content analysis of publicly available author guidelines and AI-related policy statements.
- Four publishers were purposively selected—Emerald, Frontiers, Sage, and Taylor and Francis—based on global reach, multi-disciplinary coverage, and established AI policies; data collection occurred between September and December 2025.
- Extracted texts were analyzed using thematic analysis following Braun and Clarke’s framework of familiarization, coding, theme generation, and interpretation.
Limitations
- The paper states that findings map stated expectations only, not actual author behavior, compliance rates, or measurable outcomes, and the study does not empirically assess whether policies reduce breaches, enhance trust, or improve compliance.
- The paper notes that publisher policies are living documents disseminated across multiple sites, making systematic comparison difficult.
- Evident from the text: the purposive sample is limited to four major English-language publishers whose AI guidance was updated within the preceding two years, so findings may not generalize to other publishers or non-English policies; no authors, editors, or reviewers were interviewed.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
4 of 50 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured
- Premisecitation
There is no unified standard governing how AI should be used, disclosed, or governed at the point of submission.
“These publisher-specific variations signal that there is no unified standard governing how AI should be used, disclosed, or governed at the point of submission (Ganjavi et al., 2024).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Ganjavi et al., 2024 source
- Premisecitation
The four selected publishers represent a significant proportion of global scholarly output.
“Global influence and market dominance show that these publishers represent a significant proportion of global scholarly output (Larivière et al., 2015).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Larivière et al., 2015 source
- Interpretationreasoning
This convergence highlights how editorial bodies and publishers are adapting to the new ethical risks posed by AI, particularly around data security, confidentiality, and potential misuse.
“This convergence highlights how editorial bodies and publishers are adapting to the new ethical risks posed by AI, particularly around data security, confidentiality, and potential misuse (COPE, 2023; Moulaison-Sandy, 2025; Yousaf, 2025).”
Quote in the paperSubstantial claim1 of 3 sources checked- cites COPE, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Moulaison-Sandy, 2025 source
- cites Yousaf, 2025 source
The ‘Institutional and Journal Policies: Transparency and Guidelines’ section (page not provided) says journals and publishers are developing AI-use guidance, including disclosure requirements and restrictions intended to prevent ethical breaches. The paper discusses risks such as plagiarism and unauthorized content modification, but the passages in our copy do not address data security or confidentiality as reasons for those policies. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Interpretationreasoning
The reliance on author self-reporting, without independent verification or standardized auditing, raises legitimate questions about compliance in practice.
“The reliance on author self-reporting, without independent verification or standardized auditing, raises legitimate questions about compliance in practice (Ganjavi et al., 2024).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Ganjavi et al., 2024 source
The Results (page unavailable) describe guidelines requiring authors to disclose generative AI use, and Sources of heterogeneity (page unavailable) says inconsistent guidance may hinder authors’ ability to follow it. The paper does not establish that disclosures lack independent verification or standardized auditing, or assess compliance in practice; its concern is primarily whether authors can identify and follow the guidance. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Findingown data
The findings reveal variations in how publishers operationalize these principles.
“The findings also reveal variations in how publishers operationalize these principles.”
Quote in the paperSubstantial claim
- Findingown data
Sage is the most explicit about consequences, stating that undisclosed use of generative AI tools would lead publishers to take appropriate corrective action.
“Sage is the most explicit about consequences, stating that undisclosed use of generative AI tools would lead publishers to take appropriate corrective action.”
Quote in the paperSubstantial claim - Findingown data
The greatest divergence across the four publishers lies in which AI uses are permitted or prohibited across different stages of the publishing workflow.
“The area of greatest divergence across publishers lies in what AI uses are permitted or prohibited across different stages of the publishing workflow.”
Quote in the paperSubstantial claim - Findingreasoning
Taylor and Francis takes a more permissive view on AI use in literature reviews than Emerald.
“while Taylor and Francis takes a more permissive view.”
Quote in the paperNot a substantial claim - Findingown data
Taylor and Francis highlights AI's value in supporting authors who do not use English as their first language.
“Taylor and Francis specifically highlights AI's value in supporting authors who do not use English as their first language.”
Quote in the paperNot a substantial claim - Findingreasoning
Emerald grounds the prohibition on AI authorship in authorship criteria, specifying that using generative AI to generate an abstract or literature review is not permissible because it would violate those criteria.
“Emerald grounds this prohibition in authorship criteria, specifying that using generative AI to generate an abstract or literature review is not permissible precisely because it would violate those criteria.”
Quote in the paperNot a substantial claim - Findingreasoning
Image generation shows the sharpest divergence among the four publishers.
“Image generation shows the sharpest divergence among the four publishers.”
Quote in the paperNot a substantial claim - Findingown data
Sage permits AI-generated images with disclosure.
“Sage permits AI-generated images with disclosure”
Quote in the paperSubstantial claim - Findingown data
Language editing and readability improvement are the most universally accepted AI uses across all four publishers.
“In contrast, language editing and readability improvement represent the most universally accepted AI use across all four publishers”
Quote in the paperSubstantial claim - Findingnone given
Frontiers prohibits AI-generated images outright in some of its journals.
“Frontiers prohibits them outright in some of its journals.”
Quote in the paperSubstantial claim - Findingnone given
Some individual journals within Frontiers' portfolio may restrict AI use more tightly than the general publisher policy.
“some individual journals within its portfolio may restrict AI use more tightly than the general publisher policy.”
Quote in the paperNot a substantial claim - Findingown data
Emerald permits copyediting using AI to improve language and readability.
“Emerald permits copyediting using AI to improve language and readability”
Quote in the paperNot a substantial claim - Findingown data
All four publishers assign full accountability for AI-assisted content to the human author.
“Beyond the authorship prohibition, all four publishers assign full accountability for AI-assisted content to the human author.”
Quote in the paperSubstantial claim - Findingown data
All four publishers prohibit using AI to artificially create or modify core research data.
“All four publishers prohibit the use of AI to artificially create or modify core research data.”
Quote in the paperSubstantial claim - Findingreasoning
Sage guidelines note that AI tools cannot be recognized as a co-author.
“Sage guidelines note that AI tools cannot be recognized as a co-author.”
Quote in the paperSubstantial claim - Findingown data
The policies across Taylor and Francis, Emerald, and Frontiers describe expected author conduct in detail but stop short of specifying penalties for non-compliance, detection procedures, or escalation pathways.
“The policies across Taylor and Francis, Emerald, and Frontiers describe expected author conduct in detail but similarly stop short of specifying penalties for non-compliance, detection procedures, or escalation pathways.”
Quote in the paperSubstantial claim - Findingown data
Frontiers requires human oversight and transparency at all stages of AI use.
“Frontiers reinforces the compliance expectation by requiring human oversight and transparency at all stages of AI use”
Quote in the paperNot a substantial claim - Findingreasoning
Frontiers states that AI tools must not be listed as authors.
“Frontiers states that AI tools must not be listed as authors”
Quote in the paperSubstantial claim - Findingnone given
Frontiers requires the author to clearly acknowledge the use of any AI tool.
“Frontiers requires the author to clearly acknowledge the use of any AI tool”
Quote in the paperNot a substantial claim - Findingnone given
Sage distinguishes assistive language tools as exempt from mandatory disclosure.
“Sage distinguishes assistive language tools as exempt from mandatory disclosure”
Quote in the paperNot a substantial claim - Findingreasoning
Emerald explicitly prohibits AI use in generating literature reviews because this constitutes a core intellectual contribution.
“Emerald explicitly prohibits AI use in generating literature reviews because this constitutes a core intellectual contribution”
Quote in the paperNot a substantial claim - Findingown data
Data analysis is conditionally permitted with disclosure across all four publishers.
“Data analysis occupies a middle ground where it is conditionally permitted with disclosure across all four publishers”
Quote in the paperNot a substantial claim - Findingreasoning
All four publishers prohibit editors and reviewers from sharing submitted manuscripts or peer review reports with publicly available AI tools.
“Similarly, all four publishers prohibit editors and reviewers from sharing submitted manuscripts or peer review reports with publicly available AI tools”
Quote in the paperSubstantial claim - Findingnone given
In-text reporting of AI-generated statistics is explicitly prohibited by Emerald.
“while in-text reporting of AI-generated statistics is explicitly prohibited by Emerald.”
Quote in the paperNot a substantial claim - Findingown data
AI policies are not standardized across publishers; each publisher adopts its own unique rules regarding AI-assisted writing, authorship, peer review, and disclosure.
“The findings revealed that AI policies are not standardized across publishers; instead, each adopts its own unique rules regarding AI-assisted writing, authorship, peer review, and disclosure.”
- Also stated in: § Findings · plain
“The findings showed that AI policies differ from one publisher to another, and they are not standardized. Every publisher has its own unique rules, and the researchers should read the policies and guidelines before submission.”
Quote in the paperSubstantial claim - Also stated in: § Findings · plain
- Findingown data
The four publishers consistently agree on a small set of absolute prohibitions.
“There is, however, consistent agreement on a small set of absolute prohibitions.”
Quote in the paperNot a substantial claim - Findingown data
Literature review assistance is contested among the four publishers.
“Literature review assistance is similarly contested”
Quote in the paperNot a substantial claim - Findingown data
All four publishers explicitly prohibit listing AI tools as authors.
“One of the most consistent findings across all four publishers is the unambiguous prohibition of listing AI tools as authors.”
- Also stated in: § AI authorship and accountability · boosted
“This convergence is total and unreserved, with all publishers stating explicitly that AI bots and generative AI systems cannot be credited as authors.”
Quote in the paperSubstantial claim - Also stated in: § AI authorship and accountability · boosted
- Findingnone given
Publishers generally describe corrective action only in vague terms such as appropriate measures, leaving significant ambiguity about what consequences follow a policy breach.
“Publishers generally describe corrective action only in vague terms such as appropriate measures, leaving significant ambiguity about what consequences follow a policy breach.”
Quote in the paperNot a substantial claim - Findingown data
Frontiers and Sage mandated disclosure when generative AI was used to produce text, images, or references.
“This principle was echoed in the findings, where Frontiers and Sage mandated disclosure when generative AI was used to produce text, images, or references.”
Quote in the paperNot a substantial claim - Findingreasoning
Equity considerations remain largely unaddressed in the current policy documents reviewed.
“These equity considerations remain largely unaddressed in the current policy documents reviewed”
Quote in the paperSubstantial claim - Findingown data
Several publishers explicitly prohibited editors and peer reviewers from uploading manuscripts to AI platforms.
“This concern was reflected in the findings, where several publishers explicitly prohibited editors and peer reviewers from uploading manuscripts to AI platforms.”
Quote in the paperSubstantial claim - Interpretationreasoning
The inconsistency in image generation policies means that authors working across different publishers face genuinely contradictory expectations regarding the same practice.
“This inconsistency means that authors working across different publishers face genuinely contradictory expectations regarding the same practice.”
Quote in the paperSubstantial claim - Study design and conductcitation
The conceptual framework of this study was grounded on ethical and practical guidelines developed by international publishing and editorial bodies, including STM (2023), COPE (2023), WAME (2023), and ICMJE (2025).
“The conceptual framework of this study was grounded on ethical and practical guidelines developed by international publishing and editorial bodies, including STM (2023); COPE (2023); World Association of Medical Editors (2023), and International Committee of Medical Journal Editors, 2025.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites STM (2023)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites COPE (2023)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites World Association of Medical Editors (2023)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Frontiers' provision on not uploading unpublished manuscripts into AI tools addresses confidentiality risks as much as transparency.
“a provision that addresses confidentiality risks as much as transparency.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The provision that some Frontiers journals may restrict AI use more tightly further complicates compliance for authors submitting across that publisher's portfolio.
“This provision further complicates compliance for authors submitting across that publisher's portfolio.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The cross-publisher consensus on human accountability places the burden of quality assurance, ethical compliance, and integrity squarely on the author, regardless of how much AI assistance was used.
“This cross-publisher census on human accountability is significant since it places the burden of quality assurance, ethical compliance, and integrity squarely on the author, regardless of how much AI assistance was used in the process.”
Quote in the paperSubstantial claim - Interpretationreasoning
The alignment across publishers on AI authorship prohibition reflects the influence of the STM, COPE, WAME, and ICMJE frameworks.
“The alignment across publishers reflects the influence of the STM, COPE, WAME, and ICMJE frameworks, all of which define authorship as requiring human accountability, the ability to take responsibility for the work, and the capacity to manage legal and ethical obligations, which cannot be fulfilled by AI tools and applications.”
Quote in the paperNot a substantial claim - Interpretationcitation
This reflects a growing consensus in publishing ethics that aligns with the conceptual framework's stipulation of human responsibility for all published outputs.
“This reflects a growing consensus in publishing ethics that aligns with the conceptual framework's stipulation of human responsibility for all published outputs (Shamoo and David, 2022).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Shamoo and David, 2022 source
- Interpretationreasoning
The gap between normative expectations and operational enforcement is a structural weakness in the current AI governance landscape as represented by these four publishers.
“This gap between normative expectations and operational enforcement is a structural weakness in the current AI governance landscape as represented by these four publishers.”
Quote in the paperSubstantial claim- Rests on an assumption: AI tools can be used to create fabricated submissions and to subvert peer review for commercial gain.
- Rests on an assumption: Current language models are not yet fully objective or factual.
- Interpretationreasoning
Across all four publishers, the principle of transparency serves as a foundational governance mechanism, positioning disclosure not merely as a procedural requirement but as an ethical obligation that preserves the integrity of the scholarly record.
“Across all four publishers, the principle of transparency serves as a foundational governance mechanism, positioning disclosure not merely as a procedural requirement but as an ethical obligation that preserves the integrity of the scholarly record.”
Quote in the paperSubstantial claim - Interpretationreasoning
Sage's extensive checklist effectively transfers substantial editorial quality-control responsibility onto authors.
“This extensive checklist effectively transfers substantial editorial quality-control responsibility onto authors.”
Quote in the paperSubstantial claim - Interpretationreasoning
Taylor and Francis's stance sits in tension with the stricter policies of other publishers, creating an uneven compliance landscape.
“However, this stance sits in tension with the stricter policies of other publishers, creating an uneven compliance landscape.”
Quote in the paperSubstantial claim - Premisecitation
The conceptual framework highlights the importance of transparency, requiring that authors disclose the use of AI tools in manuscripts.
“The conceptual framework also highlights the importance of transparency, requiring that authors disclose the use of AI tools in manuscripts.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites STM (2023)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites COPE (2023)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites WAME (2023)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Early-career researchers who may rely more heavily on AI assistance during manuscript preparation are similarly disadvantaged by inconsistent policies and the absence of publisher-provided guidance on navigating policy differences across publishers.
“Early-career researchers who may rely more heavily on AI assistance during manuscript preparation are similarly disadvantaged by inconsistent policies and the absence of publisher-provided guidance on navigating policy differences across publishers.”
Quote in the paperSubstantial claim - Interpretationcitation
The requirement for authors to verify the accuracy of AI-generated content, particularly in Sage's guidelines, aligns with ICMJE's (2025) criteria of authorship, which emphasize accountability and responsibility for integrity and originality.
“The requirement for authors to verify the accuracy of AI-generated content, particularly in Sage's guidelines, aligns with ICMJE's (2025) criteria of authorship, which emphasize accountability and responsibility for integrity and originality.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites ICMJE (2025)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
The conceptual framework highlights the risk of breaching confidentiality when editors or reviewers use AI tools.
“Notably, the conceptual framework highlights the risk of breaching confidentiality when editors or reviewers use AI tools.”
Quote in the paperNot a substantial claim - Interpretationcitation
The insistence on disclosure addresses ongoing concerns about AI hallucinations, plagiarism risks, and fabricated references.
“The insistence on disclosure also addresses ongoing concerns about AI “hallucinations,” plagiarism risks, and fabricated references (Stokel-Walker, 2023).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Stokel-Walker, 2023 source
- May combine two claims. 48
- Classified as probably not a substantial claim. 39
May combine two claims.
Findingown dataTaylor and Francis highlighted the opportunities of AI in idea generation and overcoming language barriers, a more permissive stance compared to Emerald, which strictly prohibited AI-generated abstracts and literature reviews.
“For example, Taylor and Francis highlighted the opportunities of AI in idea generation and overcoming language barriers, a more permissive stance compared to Emerald, which strictly prohibited AI-generated abstracts and literature reviews, as shown in Table 2.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningSage distinguishes between assistive AI tools such as Grammarly and language improvement software, and generative AI tools such as ChatGPT or DALL-E, noting that only the latter category requires mandatory disclosure.
“Sage further distinguishes between assistive AI tools such as Grammarly and language improvement software, and generative AI tools such as ChatGPT or DALL-E, noting that only the latter category requires mandatory disclosure.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenEmerald permits the submission and publication of AI-created images but requires that they be flagged and cited.
“Emerald permits the submission and publication of AI-created images but requires that they be flagged and cited.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataFrontiers supports responsible AI use that includes language improvement provided confidentiality and copyright protections are respected.
“Frontiers supports responsible use that includes language improvement provided confidentiality and copyright protections are respected”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenSage states that authors must indicate the use of AI in the manuscript and clearly reveal AI-generated content along with the submission.
“Sage states that authors must indicate the use of AI in the manuscript and clearly reveal AI-generated content along with the submission.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationCOPE's position that AI cannot be credited as an author because it lacks accountability was consistently observed across the policies of the four publishers reviewed, where publishers universally stated that AI bots must not be listed as authors.
“COPE's position that AI cannot be credited as an author because it lacks accountability (COPE, 2023) was consistently observed across the policies of the four publishers reviewed, where publishers universally stated that AI bots must not be listed as authors.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites COPE, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Findingown dataSage states that authors are responsible for the submitted work and must verify the accuracy of any AI-generated content, correcting any errors.
“Sage reinforces this by stating that authors are responsible for the submitted work and must verify the accuracy of any AI-generated content, correcting any errors.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Findingown dataSage encourages authors to check sources and citations, including those generated by AI, cite AI-generated content appropriately, avoid plagiarism and copyright infringement, review content for AI biases, acknowledge AI limitations, check specific submission guidelines, and remain informed about ongoing debates regarding AI-generated content.
“Authors are also encouraged to check sources and citations, including those generated by AI, cite AI-generated content appropriately, avoid plagiarism and copyright infringement, review content for AI biases, acknowledge AI limitations, check specific submission guidelines, and remain informed about ongoing debates regarding AI-generated content.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAll four publishers articulate compliance expectations, but enforcement mechanisms remain notably vague across the board.
“All four publishers articulate compliance expectations, but enforcement mechanisms remain notably vague across the board.”
Quote in the paperSubstantial claim- Rests on an assumption: AI tools can be used to create fabricated submissions and to subvert peer review for commercial gain.
- Rests on an assumption: Current language models are not yet fully objective or factual.
May combine two claims.
Findingown dataDisclosure of AI use is a second area of broad convergence, though the specifics of what must be disclosed and where vary across publishers.
“Disclosure of AI use is a second area of broad convergence, though the specifics of what must be disclosed and where vary across publishers.”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationMost publishers prohibited AI use in generating core research outputs, such as results or statistical analysis, but permitted its use for language editing and readability.
“This principle was echoed in the findings, where most publishers prohibited AI use in generating core research outputs, such as results or statistical analysis, but permitted its use for language editing and readability (Taylor and Francis, 2025; Sage, 2025).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Taylor and Francis, 2025
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Sage, 2025
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataEmerald states that sensitive personal information must not be shared on AI platforms because AI providers collect such information for commercial purposes.
“Emerald adds that sensitive personal information must not be shared on AI platforms, since such information is collected for commercial purposes by AI providers.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTaylor and Francis embraces AI as an opportunity for generating ideas and supporting non-native English-speaking authors, but this permissiveness does not extend to relieving authors of responsibility for what is ultimately submitted.
“Taylor and Francis, while more permissive in tone, embraces AI as an opportunity for generating ideas and supporting non-native English-speaking authors, but this permissiveness does not extend to relieving authors of the responsibility of what is ultimately submitted.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataEmerald requires all AI-created images to be flagged in the text and cited, and prohibits in-text reporting of statistics using AI, though AI may be used to aid analysis, provided this is disclosed.
“Emerald takes a more granular approach to transparency since it requires all AI-created images to be flagged in the text and cited, and that in-text reporting of statistics using AI be explicitly prohibited, though AI may be used to aid analysis, provided this is disclosed.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenFrontiers and Sage both mandate explicit disclosure when generative AI tools are used to generate text, images, or references.
“Frontiers and Sage both mandate explicit disclosure when generative AI tools are used to generate text, images, or references.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFrontiers specifies that authors are accountable for the originality, validity, and integrity of their submissions, and that they must review AI-generated content and confirm its accuracy.
“Frontiers specifies that authors are accountable for the originality, validity, and integrity of their submissions, and that they must review AI-generated content and confirm its accuracy.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataSage provides the most comprehensive guidance, requiring authors to verify AI-generated content for accuracy and hallucinations.
“Sage provides the most comprehensive guidance, requiring authors to verify AI-generated content for accuracy and hallucinations.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
FindingreasoningPublishers acknowledge substantial risks associated with AI use in scholarly publishing, including factual errors, fabricated references, unattributed text, confidentiality breaches, and copyright concerns, particularly with AI-generated images.
“Publishers acknowledge substantial risks associated with AI use in scholarly publishing, including factual errors, fabricated references, unattributed text, confidentiality breaches, and copyright concerns, particularly with AI-generated images.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe findings confirm that AI governance in scholarly publishing is both active and fragmented.
“The findings confirm that AI governance in scholarly publishing is both active and fragmented.”
Quote in the paperSubstantial claim- Rests on an assumption: The four publishers examined are representative of major scholarly publishers in AI governance.
May combine two claims.
Findingown dataAll four publishers examined prohibit listing AI as an author and require human accountability for AI-assisted content.
“All four publishers examined prohibit listing AI as an author and require human accountability for AI-assisted content”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Findingnone givenPublishers themselves identify potential benefits of AI, including improved accessibility for non-native English-speaking researchers, enhanced editorial screening, and streamlined matching.
“Publishers themselves identify potential benefits of AI, including improved accessibility for non-native English-speaking researchers, enhanced editorial screening, and streamlined matching.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAcross the four publishers examined, responsible, limited AI assistance, particularly for language editing and readability, is broadly accepted, provided authors retain intellectual control, verify accuracy, and comply with disclosure requirements.
“Across the four publishers examined, the study found that responsible, limited AI assistance, particularly for language editing and readability, is broadly accepted, provided authors retain intellectual control, verify accuracy, and comply with disclosure requirements.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe four publishers diverge considerably in what they permit, how they frame disclosure obligations, and how they address enforcement.
“yet they diverge considerably in what they permit, how they frame disclosure obligations, and how they address enforcement.”
Quote in the paperSubstantial claim- Rests on an assumption: The four publishers examined are representative of major scholarly publishers in AI governance.
May combine two claims.
FindingreasoningWhile there is broad agreement on core issues, such as prohibiting AI authorship, requiring disclosure, and maintaining human accountability, differences remain in areas like literature review support, image creation, and idea generation.
“While there is broad agreement on core issues, such as prohibiting AI authorship, requiring disclosure, and maintaining human accountability, differences remain in areas like literature review support, image creation, and idea generation.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataUploading confidential materials such as manuscripts under review to external AI platforms is explicitly prohibited, as is listing AI as an author.
“Uploading confidential materials such as manuscripts under review to external AI platforms is explicitly prohibited, as is listing AI as an author.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningWhile all four publishers require disclosure of AI use, none of the reviewed policies articulate robust verification mechanisms to confirm that disclosure requirements are being met.
“While all four publishers require disclosure of AI use, none of the reviewed policies articulate robust verification mechanisms to confirm that disclosure requirements are being met.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationWAME recommendations state that authors should acknowledge the sources of their materials, be transparent when chatbots are used, and provide information about how they were used.
“Authors should acknowledge the sources of their materials, i.e., authors should be transparent when chatbots are used and provide information about how they were used.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites World Association of Medical Editors, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWAME recommendations state that editors and reviewers should specify any use of chatbots in the evaluation of the manuscript and generation of reviews and correspondence.
“Editors and reviewers should specify, to authors and each other, any use of chatbots in the evaluation of the manuscript and generation of reviews and correspondence.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites World Association of Medical Editors, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationICMJE states that chatbots should not be listed as authors since they are not responsible for the articles' originality, integrity, and accuracy.
“In addition, chatbots should not be listed as authors since they are not responsible for the articles' originality, integrity, and accuracy, which are requirements for authorship.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites International Committee of Medical Journal Editors, 2025
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationICMJE updated its recommendations in April 2025 to require explicit disclosure of AI use and to confirm that AI tools cannot qualify as authors because they cannot assume responsibility for published work.
“The International Committee of Medical Journal Editors (ICMJE) updated its recommendations in April 2025 to require explicit disclosure of AI use and to confirm that AI tools cannot qualify as authors because they cannot assume responsibility for published work (International Committee of Medical Journal Editors, 2025).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites International Committee of Medical Journal Editors, 2025
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
Study design and conductcitationThe study was guided by four internationally recognized frameworks: the STM ethical and practical guidelines on AI use, the COPE position statement on authorship and AI tools, the WAME recommendations on chatbots and generative AI in scholarly publishing, and the ICMJE standards.
“The study was guided by the STM ethical and practical guidelines on AI use, COPE position statement on authorship and AI tools, WAME recommendations on chatbots and generative artificial intelligence in relation to scholarly publications, and the ICMJE.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites STM, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites COPE, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites WAME, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWAME recommendations state that editors need appropriate digital tools to deal with the effects of chatbots on publishing and help them detect content generated or altered by AI.
“Editors need appropriate digital tools to deal with the effects of chatbots on publishing and help them detect content generated or altered by AI.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites World Association of Medical Editors, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationWAME recommendations state that authors must take public responsibility for their work, including the accuracy of what is presented and the absence of plagiarism.
“Authors must take public responsibility for their work since authors are responsible for the material provided by a chatbot in their paper, including the accuracy of what is presented and the absence of plagiarism.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites World Association of Medical Editors, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationBibliometric analysis of publisher instructions found that while the majority disallowed AI as an author and called for disclosure, actual guidance was inconsistent in scope, location, and required detail, suggesting burdens on authors and editors and a risk of policy confusion.
“Bibliometric analysis of publisher instructions found that while the majority disallowed AI as an author and called for disclosure, actual guidance was inconsistent in scope, location, and required detail, suggesting burdens on authors and editors and a risk of policy confusion (Ganjavi et al., 2023, 2024).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ganjavi et al., 2023, 2024
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationWAME recommendations state that only humans can be authors, and chatbots cannot be authors.
“Only humans can be authors, and chatbots cannot be authors.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites World Association of Medical Editors, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationICMJE states that authors should not cite AI nor list it as a co-author and should avoid any form of plagiarism.
“It is further noted that authors should not cite AI nor list it as a co-author and should avoid any form of plagiarism.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites International Committee of Medical Journal Editors, 2025
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningPublishers were included if they maintained a publicly accessible AI-specific policy or had explicit AI-related clauses embedded in their author guidelines; operated at a global scale with multi-disciplinary coverage; and had updated their AI-related guidance within the preceding 2 years.
“Publishers were included if they maintained a publicly accessible AI-specific policy or had explicit AI-related clauses embedded in their author guidelines; operated at a global scale with multi-disciplinary coverage; and had updated their AI-related guidance within the preceding 2 years to reflect the generative AI developments since 2022.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationSTM guidelines emphasize that while AI can be a supportive tool for refining, correcting, and editing manuscripts, its use should not extend to the manipulation of research data or attribution of authorship.
“The STM guidelines emphasize that while AI can be a supportive tool for refining, correcting, and editing manuscripts, its use should not extend to the manipulation of research data or attribution of authorship.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites STM (2023)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataThese differences highlight that while the conceptual framework provides general ethical anchors, the interpretation at the publisher level depends on disciplinary priorities and publisher philosophies.
“These differences highlight that while the conceptual framework provides general ethical anchors, the interpretation at the publisher level depends on disciplinary priorities and publisher philosophies.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationThese guidelines provide the normative basis for acceptable and ethical use of GenAI in scholarly publishing, particularly emphasizing disclosure, transparency, human accountability, and prohibition of AI as an author.
“These guidelines provide the normative basis for acceptable and ethical use of generative artificial intelligence (GenAI) in scholarly publishing, particularly emphasizing disclosure, transparency, human accountability, and the prohibition of AI as an author.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites STM (2023)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites COPE (2023)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites World Association of Medical Editors (2023)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningWAME's emphasis on authenticity and the risk of misinformation resonates with Emerald's restrictive policies, while Sage's more flexible guidelines reflect the balance between innovation and safeguarding research integrity.
“WAME (2023) emphasis on authenticity and the risk of misinformation resonates with Emerald's restrictive policies, while Sage's more flexible guidelines reflect the balance between innovation and safeguarding research integrity.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites WAME (2023)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
Study design and conductcitationThe extracted texts were analyzed using thematic analysis following the Braun and Clarke (2006) framework.
“The extracted texts were analyzed using thematic analysis, which involved coding, categorizing, and identifying recurring themes across the four publishers' documents. Following Braun and Clarke (2006) framework, the analysis proceeded through stages of familiarization, coding, theme generation, and interpretation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Braun and Clarke (2006) source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSTM guidelines recommend that using publicly available GenAI as a basic tool that supports authors in refining, correcting, formatting, and editing texts and documents is permissible.
“Using publicly available GenAI as a basic tool that supports authors in refining, correcting, formatting, and editing texts and documents is permissible.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites STM, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
Study design and conductcitationThe study adopted a qualitative research design appropriate for exploring meanings, expectations, and interpretations rather than measuring frequencies or testing hypotheses.
“This study adopted a qualitative research design, which is appropriate for exploring meanings, expectations, and interpretations rather than measuring frequencies or testing hypotheses (Lim, 2024).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lim, 2024 source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe convergence on language assistance reflects a recognition that AI-powered language tools are now deeply embedded in academic writing practice globally.
“This convergence on language assistance reflects a recognition that AI-powered language tools are now deeply embedded in academic writing practice globally.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe assistive/generative distinction is a notable policy distinction as it acknowledges that not all AI use is equivalent and attempts to calibrate disclosure obligations accordingly.
“This assistive/generative distinction is a notable policy distinction as it acknowledges that not all AI use is equivalent and attempts to calibrate disclosure obligations accordingly.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationICMJE recommends that authorship be based on four criteria: substantial contributions; drafting or critical review; final approval; and agreement to be accountable.
“The ICMJE helps in defining the roles of authors and contributors, and recommends that authorship be based on the following 4 criteria:”
- Also stated in: § International Committee of Medical Journal Editors – ICMJE · plain
“Substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data for the work; AND”
- Also stated in: § International Committee of Medical Journal Editors – ICMJE · plain
“Agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved” (International Committee of Medical Journal Editors, 2025).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites International Committee of Medical Journal Editors, 2025
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Also stated in: § International Committee of Medical Journal Editors – ICMJE · plain
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationICMJE states that authors should review and edit their manuscripts before submission, as AI can generate incorrect or biased information.
“Therefore, authors should review and edit their manuscripts before submission, as AI can generate incorrect or biased information.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites International Committee of Medical Journal Editors, 2025
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSTM guidelines recommend that GenAI cannot be used to create, alter, or manipulate original research data and results, such as images, blots, photographs, x-rays, and measurements.
“GenAI cannot be used to create, alter, or manipulate original research data and results, such as images, blots, photographs, x-rays, and measurements.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites STM, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSTM guidelines recommend that GenAI cannot be credited as an author of a published work.
“GenAI cannot be credited as an author of a published work”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites STM, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningThe document analysis protocol included categories such as permitted AI uses, prohibited AI uses, disclosure requirements, authorship rules, treatment of AI-generated images/data, peer review guidance, and implementation mechanisms, ensuring systematic and consistent data extraction across all four publishers.
“The protocol included categories such as permitted AI uses, prohibited AI uses, disclosure requirements, authorship rules, treatment of AI-generated images/data, peer review guidance, and implementation mechanisms. This ensured systematic and consistent data extraction across all four publishers.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCOPE recommends that authors who utilize AI should disclose in the materials and methods section how they have used AI and indicate which tools were used.
“Therefore, it is recommended that authors who utilize AI should disclose in the materials and methods section how they have used AI and indicate which tools were used.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites COPE, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSTM guidelines recommend that authors must disclose any use of GenAI that transcends basic use cases so an editorial decision can be made as to its legitimacy.
“Authors must disclose any use of GenAI that transcends those use cases so an editorial decision can be made as to its legitimacy.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites STM, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataThe findings of this study show how these global frameworks are reflected, adapted, or contested within individual publisher policies, highlighting both convergence and divergence in practice.
“The findings of this study show how these global frameworks are reflected, adapted, or contested within individual publisher policies, highlighting both convergence and divergence in practice.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCOPE acknowledges that AI tools cannot be listed as authors because they cannot meet authorship requirements, manage copyright and licensing agreements, or handle conflicts of interest.
“COPE acknowledges that the use of AI tools in research publications is growing, but these tools cannot be listed as authors (COPE, 2023). This is because AI tools cannot meet the requirements of authorship, as they are not responsible for any work submitted for publication. Among other things, AI tools cannot manage copyright and licensing agreements and cannot handle conflicts of interest.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites COPE, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
InterpretationreasoningEmerald's layered approach reflects a sophisticated attempt to distinguish between different functional uses of AI within a single manuscript.
“This layered approach reflects a sophisticated attempt to distinguish between different functional uses of AI within a single manuscript.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationCOPE and WAME state that AI may assist, but it cannot assume authorship or accountability, and its use must be explicitly disclosed.
“Similar positions are echoed by the Committee on Publication Ethics (COPE, 2023) and the World Association of Medical Editors (WAME). Collectively, these statements set important norms whereby AI may assist, but it cannot assume authorship or accountability, and its use must be explicitly disclosed (World Association of Medical Editors, 2023).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites COPE, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites World Association of Medical Editors, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationICMJE states that activities that do not qualify one to be an author include acquisition of funding; general supervision of a research group or general administrative support; and writing assistance, technical editing, language editing, and proofreading.
“It was stated that activities that do not qualify one to be an author include acquisition of funding; general supervision of a research group or general administrative support; and writing assistance, technical editing, language editing, and proofreading (International Committee of Medical Journal Editors, 2025).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites International Committee of Medical Journal Editors, 2025
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenInclusion and exclusion criteria were applied to ensure analytical rigor and consistency.
“Inclusion and exclusion criteria were applied to ensure analytical rigor and consistency.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningThe stated benefits and risks are drawn directly from policy documents and represent publishers' own framing of the AI landscape, and they are not independently verified or empirically assessed outcomes of this study.
“The stated benefits and risks are drawn directly from policy documents and represent publishers' own framing of the AI landscape, and they are not independently verified or empirically assessed outcomes of this study.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductown dataThese findings are grounded in the documentary analysis of publicly available publisher policies and should be understood as a mapping of stated expectations, not as evidence of actual author behavior, compliance rates, or measurable outcomes.
“These findings are grounded in the documentary analysis of publicly available publisher policies and should be understood as a mapping of stated expectations, not as evidence of actual author behavior, compliance rates, or measurable outcomes.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThis tension between enabling technological innovation and maintaining ethical safeguards has been noted in recent scholarship on AI in publishing.
“This tension between enabling technological innovation and maintaining ethical safeguards has been noted in recent scholarship on AI in publishing (Clark, 2025; Pongrac, 2024).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Clark, 2025 source
- cites Pongrac, 2024
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningThe conceptual framework provided by international editorial bodies serves as the ethical compass guiding AI use in scholarly publishing, while the findings demonstrate how these principles are translated into heterogeneous publisher policies.
“In sum, the conceptual framework provided by international editorial bodies serves as the ethical compass guiding AI use in scholarly publishing, while the findings demonstrate how these principles are translated into heterogeneous publisher policies.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe expectation that authors personally verify all AI-generated content for accuracy, correct hallucinations, and navigate rapidly changing policies across publishing places a disproportionate burden on researchers who may lack institutional support, advanced English proficiency, or familiarity with evolving AI tools.
“The expectation that authors personally verify all AI-generated content for accuracy, correct hallucinations, and navigate rapidly changing policies across publishing places a disproportionate burden on researchers who may lack institutional support, advanced English proficiency, or familiarity with evolving AI tools.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningThe study does not empirically assess whether these policies reduce policy breaches, enhance trust, or improve compliance in practice.
“The study does not empirically assess whether these policies reduce policy breaches, enhance trust, or improve compliance in practice.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThese divergences reflect the evolving nature of AI governance in scholarly publishing, where global principles are being locally interpreted by publishers.
“These divergences reflect the evolving nature of AI governance in scholarly publishing, where global principles are being locally interpreted by publishers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThe gap between policy articulation and enforcement infrastructure represents a meaningful limitation of the current governance landscape that warrants further attention from publishing associations and institutional policymakers.
“The gap between policy articulation and enforcement infrastructure represents a meaningful limitation of the current governance landscape that warrants further attention from publishing associations and institutional policymakers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningTaylor and Francis's more permissive stance toward AI-assisted language improvement reflects an awareness that non-native English-speaking researchers face distinct challenges.
“Taylor and Francis's more permissive stance toward AI-assisted language improvement reflects an awareness that non-native English-speaking researchers face distinct challenges.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Publisher websites are the most reliable source for current, authoritative policy documents.
“The justification for using web content analysis includes authenticity and accessibility, where publishers communicate their official positions to authors and reviewers through web-based platforms, making their websites the most reliable source for current, authoritative policy documents.”
The paper relies on this without support.
AI policies are continuously updated in response to technological advances.
“The other one is the dynamic nature of AI policy since policies on AI are continuously updated in response to technological advances, and web content analysis allows for capturing the most up-to-date positions as they are formally presented online (Neuendorf, 2017).”
The paper relies on this without support.
The four selected publishers' policies carry considerable weight in shaping norms and practices across disciplines.
“Their policies, therefore, carry considerable weight in shaping norms and practices across disciplines.”
The paper relies on this without support.
The four selected publishers have been among the first to articulate detailed policies regarding generative AI use, authorship, and disclosure.
“policy leadership shows that these publishers have been among the first to articulate detailed policies regarding generative AI use, authorship, and disclosure, making them appropriate cases for a study examining current expectations.”
The paper relies on this without support.
Existing position statements (e.g., ICMJE, COPE, WAME) do not capture the on-the-ground publisher-specific expectations communicated in author guidelines and policy pages.
“Existing position statements (e.g., ICMJE, COPE, WAME) are normative and cross-disciplinary, but they do not capture the on-the-ground publisher-specific expectations communicated in author guidelines and policy pages.”
The paper relies on this without support.
Many publisher policies are living documents disseminated across multiple sites, making systematic comparison difficult.
“Furthermore, many publisher policies are living documents disseminated across multiple sites, such as author services, web pages, and editorial policies, making systematic comparison difficult.”
The paper relies on this without support.
There is a need for an up-to-date, comparative synthesis that maps how publishers describe acceptable AI use across the research and publishing workflow, what benefits they highlight, and what risks and compliance requirements they emphasize.
“There is, therefore, a need for an up-to-date, comparative synthesis that maps how publishers describe acceptable AI use across the research and publishing workflow, what benefits they themselves highlight, and what risks and compliance requirements they emphasize so that authors, editors, and research administrators can align practice to policy with clarity.”
The paper relies on this without support.
AI tools can be used to create fabricated submissions and to subvert peer review for commercial gain.
“It was further observed that AI tools can be used to create fabricated submissions and to subvert peer review for commercial gain”
The paper relies on this without support.
Current language models are not yet fully objective or factual.
“current language models are not yet fully objective or factual”
The paper relies on this without support.
The four publishers examined are representative of major scholarly publishers in AI governance.
“The study examined what publishers expect regarding AI use, as articulated in author guidelines and AI-related policies across four major scholarly publishers.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Emerald literature-review policy is reported as both prohibited and conditional
MajorThe findings say Emerald explicitly prohibits using AI to generate literature reviews, but Table 2 lists Emerald's literature-review policy as conditional.
“Emerald explicitly prohibits AI use in generating literature reviews because this constitutes a core intellectual contribution”
“| Literature review | Conditional | Conditional | Conditional | Conditional and should be disclosed | Variation reflects differing tolerance levels for AI-assisted synthesis of knowledge. |”
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Flagged first, then by citations
Research works printed but not linked: 4
- Creswell, 2024, Qualitative Inquiry and Research Design: Choosing Among Five Approaches, 4th Edn
- Bibliometric analysis of publisher and journal instructions to authors on generative-AI in academic and scientific publishing Ganjavi C. Eppler M. B. Pekcan A. Biedermann B. Abreu A. Collins G. S. PsyAxiv preprint. 2023
- Krippendorff, 2022, Content Analysis: An Introduction to its Methodology, 4th Edn.
- Patton, 2015, Qualitative Research and Evaluation Methods: Integrating Theory and Practice, 4th Edn.
Cited by
Sorted by citations
Writing as formation: supervising AI use in early-career medical authorship
Jacinto, T. (2026) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2026.1874377
A bioinspired conceptual framework for adaptive university press management
Torres-Toukoumidis, Á., Vicuña, S. F. P., Inga, E., et al. (2026) · Information Development · doi:10.1177/02666669261498044
Letter to the Editor: From AI Use to AI Governance: The Next Evolution of Peer Review
Ahn, K. S. (2026) · Journal of Korean Medical Science · doi:10.3346/jkms.2026.41.e346
Scientific slop: generative AI, research incentives, and the integrity of the genomic knowledge base
Greenbaum, D. (2026) · Frontiers in Genetics · doi:10.3389/fgene.2026.1894137
Elkhoudary, A. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7674992
- Authors
- Chigwada, J., & Ngulube, P.
- Affiliations
- University of South Africa (ZA)
- Corresponding author
- Chigwada, Josiline
- Venue
- Frontiers in Research Metrics and Analytics
- Publisher
- Frontiers Media SA
- Published
- 2026-05-14
- Volume
- 11
- Pages
- 1740510-1740510
- ISSN
- 2504-0537 (ISSN-L)
- PMC
- PMC13216014
- OpenAlex
- W7161179118
- Semantic Scholar
- 032655f4aaa16bb308594a1552640df17924d185
- Cited by
- 5
- References
- 26
- Citations by year
- 2026: 5
- FWCI
- 42.57
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Research Metrics and Analytics (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by)
- Topics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Publishing and Scholarly Communication
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- author guidelines, generative AI, AI-assisted writing, authorship, peer review, AI disclosure, publication ethics, AI chatbots, ICMJE, Committee on Publication Ethics, policy standardization
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-29.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-29.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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