Journal Policies

COPYRIGHT AND LICENSING

Authors contributing to ARV agree to publish their articles under a Creative Commons CC-BY 4.0 license, allowing third parties to copy and redistribute the material in any medium or format, and to remix, transform, and build upon the material, for any purpose, even commercially, under the condition that appropriate credit is given, that a link to the license is provided, and that you indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Authors retain copyright of their work.

Content in Volumes 1 – 80 was published without a Creative Commons license, and the copyright for this content is held by Kgl. Gustav Adolfs Akademien. License and copyright information is provided on each article landing page.

AUTHORSHIP AND CONTRIBUTORSHIP

Each author, and any co-authors, must meet the following criteria:

1. All must have made a significant contribution to the design of the study, the collection of data, or the analysis and interpretation of data;
2. All must, either by writing or by helping to edit the manuscript, have contributed to the design of its intellectual content to a significant degree;
3. All must have approved the submitted manuscript.

Each author must also be able to take responsibility for part of the article's content and be able to identify which co-authors are responsible for the remaining parts.

The use of generative AI in scholarly publishing has evolved rapidly alongside advances in AI models and related technologies. AI tools are now widespread and often seamlessly integrated into websites, search engines and software applications. The following guidelines aim to assist authors, reviewers and editors in the responsible and acceptable use of AI throughout ARV’s editorial and publishing process. Authors intending to submit manuscripts to ARV must familiarise themselves with these guidelines and declare any known and substantial use of generative AI in their submissions.

ARV allows the use of generative AI tools to support authors’ original research and the preparation of submitted manuscripts. Manuscripts must be written by human authors, and AI-generated content (AIGC) tools should only be used to support authors’ own ideation, critical thinking and creative processes.

ARV agrees with the position statement of COPE (Committee on Publication Ethics) on authorship and ethical transparency, which states that authors must disclose which tools were used and how they were used. Additionally, AI cannot be credited as an author of a manuscript. Manuscripts cannot list AI tools as co-authors because they cannot take responsibility for the content submitted to ARV.

Authors are prohibited from using AI tools to create falsified data or content, including text, data, images, etc., unless this is done for the explicit purpose of illustrating a specific and stated argument. Authors may use AI tools to sort, categorise, clean, order or present data, provided that the results are a true representation of the data collected and have been verified as such by the authors.

If authors submitting to ARV have used AIGC in any part of a manuscript, including text, data, images, graphics, videos, citations or translations, the tool and its use must be described in detail in the methods section and, where appropriate, in other sections of the manuscript. This includes the prompts used and the language in which they were written. The full text of the original AIGC must also be attached as an appendix or as supplementary material.

During the submission process, authors will be asked to complete the following statement declaring any use of AIGC in the manuscript:

During the preparation of this work, the author(s) used [NAME OF TOOL/MODEL/SERVICE] in order to [REASON]. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the factual accuracy and originality of the material.

It is essential to disclose not only the version used, but also the specific model, when it was used and by whom, especially since different models and versions can produce different responses to the same prompt. Tracking these details is crucial for transparency, as models evolve quickly and their output may change over time or vary between users.

If authors discover sources through the use of AI tools, they must access those sources directly, whether in the form of an available preprint, a repository version of the Author Accepted Manuscript (AAM) or the published Version of Record (VoR). They must not rely on or cite AI-generated summaries when using and citing these sources in their manuscripts. As with standard manuscript submissions, authors are responsible for the accuracy of all information provided by the tools.

(For examples of how to cite AIGC tools, please see this helpful page created by the Journal of New Librarianship (see ‘Authors, Citation Formatting’). The journal also offers a useful author checklist for attributing AI.)

POLICY FOR PEER REVIEWERS 

Initial assessments and selection of peer reviewers by Arv editors will not be done by AI tools and manuscripts submitted to Arv will not be uploaded into such tools. Author’s manuscripts will be treated with confidentiality throughout the editorial and peer review process. As it is currently unclear how data uploaded to AI tools is stored and reused, sharing any part of the manuscript including text, figures, graphs, and images potentially violates confidentiality. Editors will not use AI detection tools for the same reason.

Authors of manuscripts and reviewers of the same manuscript must not be close colleagues, family members, work on the same research project, or otherwise have a close collaboration.

Reviewers should only accept to assess manuscripts that fall within their own subject area.

Reviewers should respond to invitations without delay and submit completed reviews within a reasonable time.

Reviewers' comments must not be influenced by the author's nationality, religious or political beliefs, gender or commercial interests.

Reviewers' comments must not contain hostile or provocative language and must not include personal attacks, slander or other derogatory comments.

Peer review is fundamental to the research mission because it subjects scholarly work to expert scrutiny, thereby ensuring research quality, integrity and credibility. ARV thanks all those who have contributed their time and expertise to furthering the work of the journal through peer review.

ARV expects reviewers to take responsibility for the content of their reviews and does not permit the use of AI tools in the peer review of manuscripts. This includes tools used to generate summaries, annotations, critiques and feedback. The reasons for this include:

Uploading manuscripts to AIGC tools may compromise authors’ intellectual property rights and confidentiality.

AIGC tools are trained on existing data, whereas the peer review process is concerned with evaluating new research and novel applications of methodologies, which can only be properly assessed by expert researchers in the field.

AIGC tools can, at present, replicate and amplify human biases rather than correct them in the peer review process.

AIGC tools are often developed and owned by private commercial entities, and their processes are not transparent or interpretable.

Peer reviewers will be required to acknowledge ARV’s policy on the use of AI in peer review when accepting manuscripts for review and to take full responsibility for the reports they provide to ARV.