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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.
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.)
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  Data: Framework for assessing the risk to a field from fraudulent researchers: A case study of Alzheimer's disease.
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  Data: <searchLink fieldCode="AR" term="%22Ni%2C+Chaoqun%22">Ni, Chaoqun</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hutchins%2C+B%2E+Ian%22">Hutchins, B. Ian</searchLink><relatesTo>1</relatesTo><i> bihutchins@wisc.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Association+for+Information+Science+%26+Technology%22">Journal of the Association for Information Science & Technology</searchLink>. Sep2025, Vol. 76 Issue 9, p1162-1173. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Pearson+correlation+%28Statistics%29%22">Pearson correlation (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Alzheimer's+disease%22">Alzheimer's disease</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+theory%22">Probability theory</searchLink><br /><searchLink fieldCode="DE" term="%22Fisher+exact+test%22">Fisher exact test</searchLink><br /><searchLink fieldCode="DE" term="%22Research+evaluation%22">Research evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Misinformation%22">Misinformation</searchLink><br /><searchLink fieldCode="DE" term="%22Citation+analysis%22">Citation analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Path+analysis+%28Statistics%29%22">Path analysis (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22MEDLINE%22">MEDLINE</searchLink><br /><searchLink fieldCode="DE" term="%22Conceptual+structures%22">Conceptual structures</searchLink><br /><searchLink fieldCode="DE" term="%22Communication%22">Communication</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+research%22">Medical research</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+base%22">Knowledge base</searchLink><br /><searchLink fieldCode="DE" term="%22Publishing%22">Publishing</searchLink><br /><searchLink fieldCode="DE" term="%22Endowment+of+research%22">Endowment of research</searchLink><br /><searchLink fieldCode="DE" term="%22Fraud%22">Fraud</searchLink><br /><searchLink fieldCode="DE" term="%22Case+studies%22">Case studies</searchLink><br /><searchLink fieldCode="DE" term="%22Theory%22">Theory</searchLink><br /><searchLink fieldCode="DE" term="%22Online+information+services%22">Online information services</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Fraud+in+science%22">Fraud in science</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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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  Data: <i>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.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/asi.25009
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 1162
    Subjects:
      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Pearson correlation (Statistics)
        Type: general
      – SubjectFull: Alzheimer's disease
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Probability theory
        Type: general
      – SubjectFull: Fisher exact test
        Type: general
      – SubjectFull: Research evaluation
        Type: general
      – SubjectFull: Misinformation
        Type: general
      – SubjectFull: Citation analysis
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Path analysis (Statistics)
        Type: general
      – SubjectFull: MEDLINE
        Type: general
      – SubjectFull: Conceptual structures
        Type: general
      – SubjectFull: Communication
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Medical research
        Type: general
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: Bibliometrics
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      – SubjectFull: Knowledge base
        Type: general
      – SubjectFull: Publishing
        Type: general
      – SubjectFull: Endowment of research
        Type: general
      – SubjectFull: Fraud
        Type: general
      – SubjectFull: Case studies
        Type: general
      – SubjectFull: Theory
        Type: general
      – SubjectFull: Online information services
        Type: general
      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Fraud in science
        Type: general
      – SubjectFull: Algorithms
        Type: general
    Titles:
      – TitleFull: Framework for assessing the risk to a field from fraudulent researchers: A case study of Alzheimer's disease.
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            NameFull: Ni, Chaoqun
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              M: 09
              Text: Sep2025
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              Y: 2025
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