Discussion Overview
The discussion revolves around the ethical considerations and norms regarding the submission of a second paper to the same journal shortly after the acceptance of a first paper. Participants explore the implications of timing, journal policies, and the reliability of advice from AI sources in the context of academic publishing.
Discussion Character
- Debate/contested
- Technical explanation
- Meta-discussion
Main Points Raised
- One participant inquires whether it is normal to submit another paper to the same journal after the acceptance of a first paper, questioning any ethical guidelines that may apply.
- Another participant challenges the notion of an ethical dilemma, expressing uncertainty about any potential issues with submitting two papers in close succession.
- Concerns are raised about the reliability of ChatGPT as a source of information regarding journal submission policies, with one participant suggesting that any such policies should be clearly stated in the journal’s author guide.
- Some participants express skepticism about relying on AI-generated advice, advocating for seeking guidance from experienced individuals instead.
- A later reply suggests that submitting a second paper soon after acceptance could be advantageous, as editors may remember the author positively and appreciate the timely submission of quality work.
- It is noted that if a journal has a waiting policy, it would typically inform the author, and that rejection of a submission is not uncommon in the publication process.
Areas of Agreement / Disagreement
Participants express differing views on the ethical implications of submitting multiple papers to the same journal in quick succession. While some argue that it is acceptable and potentially beneficial, others raise concerns about the reliability of AI advice and the existence of journal policies that may not be well understood.
Contextual Notes
There is uncertainty regarding specific journal policies on submission timing, and participants acknowledge the potential for varying practices across different journals. The discussion reflects a range of perspectives on the role of AI in academic decision-making.