Exploratory analysis of text duplication in peer-review reveals peer-review fraud and paper mills
Abstract Comments received from referees during peer-review were analysed to determine the rates of duplication and partial duplication. It is very unusual for 2 different referees to submit identical comments, so the rare cases where this happens are of interest. In some cases, it appears that pape...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Day, Adam [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© Akadémiai Kiadó, Budapest, Hungary 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Scientometrics - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978, 127(2022), 10 vom: 08. Sept., Seite 5965-5987 |
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| Übergeordnetes Werk: |
volume:127 ; year:2022 ; number:10 ; day:08 ; month:09 ; pages:5965-5987 |
| Links: |
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| DOI / URN: |
10.1007/s11192-022-04504-5 |
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SPR048101532 |
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| 520 | |a Abstract Comments received from referees during peer-review were analysed to determine the rates of duplication and partial duplication. It is very unusual for 2 different referees to submit identical comments, so the rare cases where this happens are of interest. In some cases, it appears that paper-mills create fake referee accounts and use them to submit fake peer-review reports. These include comments that are copied and pasted across multiple reviews. Searching for duplication in referee comments is therefore an effective method to search for misconduct generally, since the forms of misconduct committed by paper-mills go beyond peer-review fraud. These search methods allow the automatic detection of misconduct candidates which may then be investigated carefully to confirm if misconduct has indeed taken place. There are innocent reasons why referees might share template reports, so these methods are not intended to automatically diagnose misconduct. | ||
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10.1007/s11192-022-04504-5 doi (DE-627)SPR048101532 (SPR)s11192-022-04504-5-e DE-627 ger DE-627 rakwb eng Day, Adam verfasserin (orcid)0000-0002-8529-9990 aut Exploratory analysis of text duplication in peer-review reveals peer-review fraud and paper mills 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Comments received from referees during peer-review were analysed to determine the rates of duplication and partial duplication. It is very unusual for 2 different referees to submit identical comments, so the rare cases where this happens are of interest. In some cases, it appears that paper-mills create fake referee accounts and use them to submit fake peer-review reports. These include comments that are copied and pasted across multiple reviews. Searching for duplication in referee comments is therefore an effective method to search for misconduct generally, since the forms of misconduct committed by paper-mills go beyond peer-review fraud. These search methods allow the automatic detection of misconduct candidates which may then be investigated carefully to confirm if misconduct has indeed taken place. There are innocent reasons why referees might share template reports, so these methods are not intended to automatically diagnose misconduct. Research integrity (dpeaa)DE-He213 Peer-review fraud (dpeaa)DE-He213 Peer-review rings (dpeaa)DE-He213 Paper mills (dpeaa)DE-He213 Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 127(2022), 10 vom: 08. Sept., Seite 5965-5987 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:127 year:2022 number:10 day:08 month:09 pages:5965-5987 https://dx.doi.org/10.1007/s11192-022-04504-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 127 2022 10 08 09 5965-5987 |
| spelling |
10.1007/s11192-022-04504-5 doi (DE-627)SPR048101532 (SPR)s11192-022-04504-5-e DE-627 ger DE-627 rakwb eng Day, Adam verfasserin (orcid)0000-0002-8529-9990 aut Exploratory analysis of text duplication in peer-review reveals peer-review fraud and paper mills 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Comments received from referees during peer-review were analysed to determine the rates of duplication and partial duplication. It is very unusual for 2 different referees to submit identical comments, so the rare cases where this happens are of interest. In some cases, it appears that paper-mills create fake referee accounts and use them to submit fake peer-review reports. These include comments that are copied and pasted across multiple reviews. Searching for duplication in referee comments is therefore an effective method to search for misconduct generally, since the forms of misconduct committed by paper-mills go beyond peer-review fraud. These search methods allow the automatic detection of misconduct candidates which may then be investigated carefully to confirm if misconduct has indeed taken place. There are innocent reasons why referees might share template reports, so these methods are not intended to automatically diagnose misconduct. Research integrity (dpeaa)DE-He213 Peer-review fraud (dpeaa)DE-He213 Peer-review rings (dpeaa)DE-He213 Paper mills (dpeaa)DE-He213 Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 127(2022), 10 vom: 08. Sept., Seite 5965-5987 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:127 year:2022 number:10 day:08 month:09 pages:5965-5987 https://dx.doi.org/10.1007/s11192-022-04504-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 127 2022 10 08 09 5965-5987 |
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10.1007/s11192-022-04504-5 doi (DE-627)SPR048101532 (SPR)s11192-022-04504-5-e DE-627 ger DE-627 rakwb eng Day, Adam verfasserin (orcid)0000-0002-8529-9990 aut Exploratory analysis of text duplication in peer-review reveals peer-review fraud and paper mills 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Comments received from referees during peer-review were analysed to determine the rates of duplication and partial duplication. It is very unusual for 2 different referees to submit identical comments, so the rare cases where this happens are of interest. In some cases, it appears that paper-mills create fake referee accounts and use them to submit fake peer-review reports. These include comments that are copied and pasted across multiple reviews. Searching for duplication in referee comments is therefore an effective method to search for misconduct generally, since the forms of misconduct committed by paper-mills go beyond peer-review fraud. These search methods allow the automatic detection of misconduct candidates which may then be investigated carefully to confirm if misconduct has indeed taken place. There are innocent reasons why referees might share template reports, so these methods are not intended to automatically diagnose misconduct. Research integrity (dpeaa)DE-He213 Peer-review fraud (dpeaa)DE-He213 Peer-review rings (dpeaa)DE-He213 Paper mills (dpeaa)DE-He213 Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 127(2022), 10 vom: 08. Sept., Seite 5965-5987 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:127 year:2022 number:10 day:08 month:09 pages:5965-5987 https://dx.doi.org/10.1007/s11192-022-04504-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 127 2022 10 08 09 5965-5987 |
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10.1007/s11192-022-04504-5 doi (DE-627)SPR048101532 (SPR)s11192-022-04504-5-e DE-627 ger DE-627 rakwb eng Day, Adam verfasserin (orcid)0000-0002-8529-9990 aut Exploratory analysis of text duplication in peer-review reveals peer-review fraud and paper mills 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Comments received from referees during peer-review were analysed to determine the rates of duplication and partial duplication. It is very unusual for 2 different referees to submit identical comments, so the rare cases where this happens are of interest. In some cases, it appears that paper-mills create fake referee accounts and use them to submit fake peer-review reports. These include comments that are copied and pasted across multiple reviews. Searching for duplication in referee comments is therefore an effective method to search for misconduct generally, since the forms of misconduct committed by paper-mills go beyond peer-review fraud. These search methods allow the automatic detection of misconduct candidates which may then be investigated carefully to confirm if misconduct has indeed taken place. There are innocent reasons why referees might share template reports, so these methods are not intended to automatically diagnose misconduct. Research integrity (dpeaa)DE-He213 Peer-review fraud (dpeaa)DE-He213 Peer-review rings (dpeaa)DE-He213 Paper mills (dpeaa)DE-He213 Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 127(2022), 10 vom: 08. Sept., Seite 5965-5987 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:127 year:2022 number:10 day:08 month:09 pages:5965-5987 https://dx.doi.org/10.1007/s11192-022-04504-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 127 2022 10 08 09 5965-5987 |
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10.1007/s11192-022-04504-5 doi (DE-627)SPR048101532 (SPR)s11192-022-04504-5-e DE-627 ger DE-627 rakwb eng Day, Adam verfasserin (orcid)0000-0002-8529-9990 aut Exploratory analysis of text duplication in peer-review reveals peer-review fraud and paper mills 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Akadémiai Kiadó, Budapest, Hungary 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Comments received from referees during peer-review were analysed to determine the rates of duplication and partial duplication. It is very unusual for 2 different referees to submit identical comments, so the rare cases where this happens are of interest. In some cases, it appears that paper-mills create fake referee accounts and use them to submit fake peer-review reports. These include comments that are copied and pasted across multiple reviews. Searching for duplication in referee comments is therefore an effective method to search for misconduct generally, since the forms of misconduct committed by paper-mills go beyond peer-review fraud. These search methods allow the automatic detection of misconduct candidates which may then be investigated carefully to confirm if misconduct has indeed taken place. There are innocent reasons why referees might share template reports, so these methods are not intended to automatically diagnose misconduct. Research integrity (dpeaa)DE-He213 Peer-review fraud (dpeaa)DE-He213 Peer-review rings (dpeaa)DE-He213 Paper mills (dpeaa)DE-He213 Enthalten in Scientometrics Dordrecht [u.a.] : Springer Science + Business Media B.V., 1978 127(2022), 10 vom: 08. Sept., Seite 5965-5987 (DE-627)320589099 (DE-600)2018679-4 1588-2861 nnns volume:127 year:2022 number:10 day:08 month:09 pages:5965-5987 https://dx.doi.org/10.1007/s11192-022-04504-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 127 2022 10 08 09 5965-5987 |
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Day, Adam |
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Day, Adam misc Research integrity misc Peer-review fraud misc Peer-review rings misc Paper mills Exploratory analysis of text duplication in peer-review reveals peer-review fraud and paper mills |
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Exploratory analysis of text duplication in peer-review reveals peer-review fraud and paper mills Research integrity (dpeaa)DE-He213 Peer-review fraud (dpeaa)DE-He213 Peer-review rings (dpeaa)DE-He213 Paper mills (dpeaa)DE-He213 |
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exploratory analysis of text duplication in peer-review reveals peer-review fraud and paper mills |
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Exploratory analysis of text duplication in peer-review reveals peer-review fraud and paper mills |
| abstract |
Abstract Comments received from referees during peer-review were analysed to determine the rates of duplication and partial duplication. It is very unusual for 2 different referees to submit identical comments, so the rare cases where this happens are of interest. In some cases, it appears that paper-mills create fake referee accounts and use them to submit fake peer-review reports. These include comments that are copied and pasted across multiple reviews. Searching for duplication in referee comments is therefore an effective method to search for misconduct generally, since the forms of misconduct committed by paper-mills go beyond peer-review fraud. These search methods allow the automatic detection of misconduct candidates which may then be investigated carefully to confirm if misconduct has indeed taken place. There are innocent reasons why referees might share template reports, so these methods are not intended to automatically diagnose misconduct. © Akadémiai Kiadó, Budapest, Hungary 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract Comments received from referees during peer-review were analysed to determine the rates of duplication and partial duplication. It is very unusual for 2 different referees to submit identical comments, so the rare cases where this happens are of interest. In some cases, it appears that paper-mills create fake referee accounts and use them to submit fake peer-review reports. These include comments that are copied and pasted across multiple reviews. Searching for duplication in referee comments is therefore an effective method to search for misconduct generally, since the forms of misconduct committed by paper-mills go beyond peer-review fraud. These search methods allow the automatic detection of misconduct candidates which may then be investigated carefully to confirm if misconduct has indeed taken place. There are innocent reasons why referees might share template reports, so these methods are not intended to automatically diagnose misconduct. © Akadémiai Kiadó, Budapest, Hungary 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract Comments received from referees during peer-review were analysed to determine the rates of duplication and partial duplication. It is very unusual for 2 different referees to submit identical comments, so the rare cases where this happens are of interest. In some cases, it appears that paper-mills create fake referee accounts and use them to submit fake peer-review reports. These include comments that are copied and pasted across multiple reviews. Searching for duplication in referee comments is therefore an effective method to search for misconduct generally, since the forms of misconduct committed by paper-mills go beyond peer-review fraud. These search methods allow the automatic detection of misconduct candidates which may then be investigated carefully to confirm if misconduct has indeed taken place. There are innocent reasons why referees might share template reports, so these methods are not intended to automatically diagnose misconduct. © Akadémiai Kiadó, Budapest, Hungary 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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2024-07-03T17:01:06.431Z |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR048101532</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230509111531.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220915s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11192-022-04504-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR048101532</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11192-022-04504-5-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Day, Adam</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-8529-9990</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Exploratory analysis of text duplication in peer-review reveals peer-review fraud and paper mills</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Akadémiai Kiadó, Budapest, Hungary 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Comments received from referees during peer-review were analysed to determine the rates of duplication and partial duplication. It is very unusual for 2 different referees to submit identical comments, so the rare cases where this happens are of interest. In some cases, it appears that paper-mills create fake referee accounts and use them to submit fake peer-review reports. These include comments that are copied and pasted across multiple reviews. Searching for duplication in referee comments is therefore an effective method to search for misconduct generally, since the forms of misconduct committed by paper-mills go beyond peer-review fraud. These search methods allow the automatic detection of misconduct candidates which may then be investigated carefully to confirm if misconduct has indeed taken place. 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