Framework for assessing the risk to a field from fraudulent researchers: A case study of Alzheimer's disease.
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| Title: | Framework for assessing the risk to a field from fraudulent researchers: A case study of Alzheimer's disease. |
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| Authors: | Ni, Chaoqun1, Hutchins, B. Ian1 bihutchins@wisc.edu |
| Source: | Journal of the Association for Information Science & Technology. Sep2025, Vol. 76 Issue 9, p1162-1173. 12p. |
| Subjects: | Risk assessment, Pearson correlation (Statistics), Alzheimer's disease, Research funding, Data analysis, Probability theory, Fisher exact test, Research evaluation, Misinformation, Citation analysis, Descriptive statistics, Path analysis (Statistics), MEDLINE, Conceptual structures, Communication, Mathematical models, Medical research, Statistics, Bibliometrics, Knowledge base, Publishing, Endowment of research, Fraud, Case studies, Theory, Online information services, Data analysis software, Fraud in science, Algorithms |
| Abstract: | Concerns over research integrity are rising, with increasing attention to potential threats from untrustworthy authors. We established a framework to gauge the potential negative influence of researchers potentially engaged in misconduct. The field of Alzheimer's disease (AD) research has been a focal point of these worries. This study aims to assess the risk posed by questionable studies or individuals potentially engaging in fraudulent science in research by examining citation relationships among papers, taking AD research as an illustrative example. Analysis of citation network structure can elucidate the potential propagation of misinformation arising at the author level. Our analysis revealed that there aren't any single authors or papers whose citation connections jeopardize a major portion of the field's literature. This indicates a low probability of single entities undermining the majority of works in this area. However, our findings suggest that attention to the research integrity of the most influential scientists is warranted. Some scientists can reach a sizable minority of the literature through citations to their work. Emphasizing oversight of the integrity of these authors is crucial, given their influence on the field. Our study introduces an analytical framework adaptable across various fields and disciplines to evaluate potential risks from fraudulence. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the Association for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Abstract: | Concerns over research integrity are rising, with increasing attention to potential threats from untrustworthy authors. We established a framework to gauge the potential negative influence of researchers potentially engaged in misconduct. The field of Alzheimer's disease (AD) research has been a focal point of these worries. This study aims to assess the risk posed by questionable studies or individuals potentially engaging in fraudulent science in research by examining citation relationships among papers, taking AD research as an illustrative example. Analysis of citation network structure can elucidate the potential propagation of misinformation arising at the author level. Our analysis revealed that there aren't any single authors or papers whose citation connections jeopardize a major portion of the field's literature. This indicates a low probability of single entities undermining the majority of works in this area. However, our findings suggest that attention to the research integrity of the most influential scientists is warranted. Some scientists can reach a sizable minority of the literature through citations to their work. Emphasizing oversight of the integrity of these authors is crucial, given their influence on the field. Our study introduces an analytical framework adaptable across various fields and disciplines to evaluate potential risks from fraudulence. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 23301635 |
| DOI: | 10.1002/asi.25009 |
