Detecting academic fraud using Benford law: The case of Professor James Hunton
dc.contributor.author | Horton, J | |
dc.contributor.author | Kumar, DK | |
dc.contributor.author | Wood, A | |
dc.date.accessioned | 2020-08-13T10:43:14Z | |
dc.date.issued | 2020-08-11 | |
dc.description.abstract | We investigate whether Benford's Law can be used to differentiate retracted academic papers that have employed fraudulent/manipulated data from other academic papers that have not been retracted. We use the case of Professor James Hunton who had 37 of his articles retracted because there were grave concerns that they contained mis-stated or fabricated datasets. We construct several Benford conformity measures, based on first significant digits contained in the articles, to determine whether Hunton's retracted papers differ significantly from a control group of non-retracted articles by competing authors. Our results clearly indicate that Hunton's retracted papers significantly deviate from Benford Law, relative to the control group of papers. In additional analysis we also find these results are generalisable to other authors with retracted papers. Our findings suggest that potentially both co-authors and journals could consider implementing a data analytical tool which employs Benford Law to highlight potential ‘red flag’ papers, with a view to decreasing the risk of fraudulent activity and thereby enhancing the credibility of academic papers and journals. | en_GB |
dc.identifier.citation | Vol. 49 (8), article 104084 | en_GB |
dc.identifier.doi | 10.1016/j.respol.2020.104084 | |
dc.identifier.uri | http://hdl.handle.net/10871/122449 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights.embargoreason | Under embargo until 11 February 2022 in compliance with publisher policy | en_GB |
dc.rights | © 2020. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
dc.subject | Academic fraud | en_GB |
dc.subject | Hunton | en_GB |
dc.subject | Benford law | en_GB |
dc.subject | Academic integrity | en_GB |
dc.title | Detecting academic fraud using Benford law: The case of Professor James Hunton | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-08-13T10:43:14Z | |
dc.identifier.issn | 0048-7333 | |
exeter.article-number | 104084 | en_GB |
dc.description | This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record | en_GB |
dc.description | Data availability: Data are available from the public sources cited in the text. | en_GB |
dc.identifier.journal | Research Policy | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
dcterms.dateAccepted | 2020-08-01 | |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2020-08-01 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-08-13T10:40:29Z | |
refterms.versionFCD | AM | |
refterms.panel | C | en_GB |
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Except where otherwise noted, this item's licence is described as © 2020. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/