{"title":"评估欺诈性研究人员对一个领域的风险的框架:阿尔茨海默病的案例研究","authors":"Chaoqun Ni, B. Ian Hutchins","doi":"10.1002/asi.25009","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"76 9","pages":"1162-1173"},"PeriodicalIF":4.3000,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://asistdl.onlinelibrary.wiley.com/doi/epdf/10.1002/asi.25009","citationCount":"0","resultStr":"{\"title\":\"Framework for assessing the risk to a field from fraudulent researchers: A case study of Alzheimer's disease\",\"authors\":\"Chaoqun Ni, B. Ian Hutchins\",\"doi\":\"10.1002/asi.25009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":48810,\"journal\":{\"name\":\"Journal of the Association for Information Science and Technology\",\"volume\":\"76 9\",\"pages\":\"1162-1173\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://asistdl.onlinelibrary.wiley.com/doi/epdf/10.1002/asi.25009\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Association for Information Science and Technology\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.25009\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Association for Information Science and Technology","FirstCategoryId":"91","ListUrlMain":"https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.25009","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Framework for assessing the risk to a field from fraudulent researchers: A case study of Alzheimer's disease
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.
期刊介绍:
The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes.
The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.