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Skip search results from other journals and go to results- 7 Journal of Medical Internet Research
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Geographical Disparities in Research Misconduct: Analyzing Retraction Patterns by Country
Measures like stricter peer review, automated plagiarism detection, open data sharing, and pre-registration of studies can help mitigate misconduct and improve oversight.
Limitations of this study include reliance on the RW database, which may miss some misconduct cases, and a primary focus on medicine, potentially overlooking trends in other disciplines. Nonetheless, RW remains a trusted source for aggregated retraction data [8], with findings consistent across both overall and medicine-specific data.
J Med Internet Res 2025;27:e65775
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Reassessing AI in Medicine: Exploring the Capabilities of AI in Academic Abstract Synthesis
plagiarism
J Med Internet Res 2024;26:e55920
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The Ability of ChatGPT in Paraphrasing Texts and Reducing Plagiarism: A Descriptive Analysis
Verbatim plagiarism, mosaic plagiarism, loose plagiarism, duplicate publication, augmented publication, salami-sliced publication, image plagiarism, accidental plagiarism, and self-plagiarism are among the prominent types that have been identified [2-6].
To mitigate the occurrence of such misconduct, researchers often use online plagiarism checkers, which scan existing literature on the internet and provide reports on unintentional plagiarism.
JMIR Med Educ 2024;10:e53308
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Based on popular consensus, plagiarism was considered at a similarity index of 15% or higher. We evaluated the AI detection rate in the 3 groups using Zero GPT (access date: June 5, 2023), which is a tool designed to detect whether texts are generated by an AI program.
J Med Internet Res 2024;26:e52001
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First, AI models trained on vast amounts of text data may inadvertently generate content that closely resembles existing scientific work, leading to instances of plagiarism [1]. Second, AI models can generate seemingly plausible content that lacks accuracy or may unintentionally introduce errors. Moreover, as these models are trained on data sets that may contain biases, they can inadvertently amplify such biases without proper supervision by domain experts.
J Med Internet Res 2023;25:e51229
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A study of 113 Pub Med retraction notices from 2016 showed that fraud and plagiarism were found mainly in articles authored by men and errors in data and analysis were seen mainly in articles authored by women [4]. Another study using a database of retracted articles (1970-2022) showed that women represented 27% of first authors and 24% of last authors, but there was no comparison group (ie, the representation of women and men as authors of publications) [5].
J Med Internet Res 2023;25:e48529
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Teaching Students About Plagiarism Using a Serious Game (Plagi-Warfare): Design and Evaluation Study
Hence, the major contributions of this paper are as follows:
We proposed a new game story and designed new game mechanics for student players to get into an immersive gaming environment and get rewarded by either detecting plagiarism scenarios (as detectives) or play the role of a mafia member to commit plagiarism within the game—another way of clearly acknowledging what plagiarism is.
JMIR Serious Games 2022;10(1):e33459
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Following the first run of the MOOC, a similarity index for each of the submitted summary assignments was calculated by submitting all 203 learner summary assignments to the plagiarism-detection software Turnitin. A high Turnitin similarity index indicates potential plagiarism. “Summary nonsubmission” assignments were defined as those that included no written summary, that is, they were submitted as a “dummy” assignment [41].
J Med Internet Res 2020;22(2):e15177
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