{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T02:51:24Z","timestamp":1787021484999,"version":"build-2736575974"},"reference-count":62,"publisher":"Institute for Operations Research and the Management Sciences (INFORMS)","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Management Science"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:p>We propose a financial statement (FS) fraud detection framework, called PeerMeta, that makes improvements in all three components of the detection procedure: label measurement, feature set, and detection model. For the label measurement, prior studies mainly adopt FS fraud events that have already been disclosed and confirmed. We construct a new measure based on news coverage that can reflect unrevealed FS fraud behaviors as well. For the feature set, we innovatively add peer factors learned through the business description texts in financial reports. For the detection model, two meta-learning algorithms are applied to aggregate the 19 popular classifiers. The results indicate that the proposed method has amazingly high recall of real fraud cases announced by regulatory authorities, reaching a staggering value of 0.982. We document that all components in PeerMeta contribute to the improvements of FS fraud detection and also showcase the significant economic value of the detection framework and find that recall is more crucial for the economic value than precision.<\/jats:p>\n                  <jats:p>This paper was accepted by Agostino Capponi, finance.<\/jats:p>\n                  <jats:p>Funding: This work was supported by the National Natural Science Foundation of China [Grants 71991470, 7199471, 72121002, 72310107002] and the National Key R&amp;D Program of China [Grant 2021YFC3340703].<\/jats:p>\n                  <jats:p>Supplemental Material: The online appendix and data files are available at https:\/\/doi.org\/10.1287\/mnsc.2023.03604 .<\/jats:p>","DOI":"10.1287\/mnsc.2023.03604","type":"journal-article","created":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T16:20:36Z","timestamp":1757089236000},"page":"4200-4230","source":"Crossref","is-referenced-by-count":1,"title":["Unearthing Financial Statement Fraud: Insights from News Coverage Analysis"],"prefix":"10.1287","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3250-7677","authenticated-orcid":false,"given":"Jianqing","family":"Fan","sequence":"first","affiliation":[{"name":"Department of Operations Research and Financial Engineering, Princeton University, Princeton, New Jersey 08544"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4252-2360","authenticated-orcid":false,"given":"Qingfu","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Economics, Fudan University, Shanghai 200437, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Wang","sequence":"additional","affiliation":[{"name":"Shanghai Stock Exchange, Shanghai 200120, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9190-435X","authenticated-orcid":false,"given":"Kaixin","family":"Zheng","sequence":"additional","affiliation":[{"name":"Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200240, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"109","reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.2307\/41703508"},{"issue":"3","key":"B2","first-page":"553","volume":"14","author":"Albashrawi M","year":"2016","journal-title":"J. Data Sci."},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1007\/s10551-013-2019-1"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11040662"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1007\/s11142-017-9435-x"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1017\/S0022109017000461"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1111\/1475-679X.12292"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacceco.2013.01.003"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1162\/003355302320935061"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.2308\/TAR-1325294"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1214\/17-AOS1594"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6261.2009.01468.x"},{"key":"B13","doi-asserted-by":"publisher","DOI":"10.1093\/qje\/qjad054"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaccpubpol.2005.10.002"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfineco.2004.08.012"},{"key":"B16","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.70.066111"},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfineco.2022.08.004"},{"key":"B18","doi-asserted-by":"publisher","DOI":"10.1177\/1536867X20909693"},{"key":"B19","unstructured":"COSO, ACFE (2016) Fraud risk management guide. https:\/\/www.coso.org."},{"key":"B20","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2020.113421"},{"key":"B21","doi-asserted-by":"publisher","DOI":"10.1111\/j.1911-3846.1996.tb00489.x"},{"key":"B22","doi-asserted-by":"publisher","DOI":"10.1080\/07421222.2018.1451954"},{"key":"B23","doi-asserted-by":"publisher","DOI":"10.1093\/rof\/rfab036"},{"key":"B24","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6261.2010.01614.x"},{"key":"B25","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6261.2008.01353.x"},{"key":"B26","doi-asserted-by":"publisher","DOI":"10.1201\/9780429096280"},{"key":"B27","doi-asserted-by":"publisher","DOI":"10.2307\/2491006"},{"key":"B28","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcorpfin.2010.09.002"},{"key":"B29","doi-asserted-by":"publisher","DOI":"10.1093\/rfs\/hhab025"},{"key":"B30","doi-asserted-by":"publisher","DOI":"10.1002\/isaf.303"},{"key":"B31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2017.12.006"},{"key":"B32","doi-asserted-by":"publisher","DOI":"10.2308\/accr.2008.83.1.83"},{"key":"B33","doi-asserted-by":"publisher","DOI":"10.1093\/rfs\/hhaa009"},{"key":"B34","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfineco.2021.08.015"},{"key":"B35","doi-asserted-by":"publisher","DOI":"10.1086\/688176"},{"key":"B36","doi-asserted-by":"publisher","DOI":"10.1093\/revfin\/hhm003"},{"key":"B37","doi-asserted-by":"publisher","DOI":"10.1023\/B:RAST.0000028194.11371.42"},{"key":"B38","doi-asserted-by":"publisher","DOI":"10.1108\/eb026526"},{"key":"B39","doi-asserted-by":"publisher","DOI":"10.2308\/accr-51766"},{"key":"B40","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2006.02.016"},{"key":"B41","unstructured":"Le Q, Mikolov T (2014) Distributed representations of sentences and documents.\n                      Internat. Conf. Machine Learn.\n                      (PMLR, New York), 1188\u20131196."},{"key":"B42","doi-asserted-by":"publisher","DOI":"10.1111\/jofi.12094"},{"key":"B43","doi-asserted-by":"publisher","DOI":"10.1080\/15427951.2009.10129177"},{"key":"B44","doi-asserted-by":"publisher","DOI":"10.1093\/rfs\/hhaa079"},{"key":"B45","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.08.011"},{"key":"B46","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfineco.2019.03.008"},{"issue":"1","key":"B47","first-page":"1","volume":"9","author":"Loebbecke JK","year":"1989","journal-title":"Auditing J. Practice Theory"},{"key":"B48","doi-asserted-by":"publisher","DOI":"10.1257\/jep.14.3.115"},{"key":"B49","volume-title":"Adv. Neural Inform. Processing Systems","author":"Mikolov T","year":"2013"},{"key":"B50","doi-asserted-by":"publisher","DOI":"10.1111\/j.1475-679X.2006.00224.x"},{"key":"B51","doi-asserted-by":"publisher","DOI":"10.1080\/09692290.2013.819811"},{"key":"B52","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacceco.2003.06.003"},{"key":"B53","doi-asserted-by":"publisher","DOI":"10.1111\/jofi.12704"},{"key":"B54","volume-title":"Network Science with Python and NetworkX Quick Start Guide: Explore and Visualize Network Data Effectively","author":"Platt EL","year":"2019"},{"issue":"1","key":"B55","first-page":"25","volume":"181","author":"Qaiser S","year":"2018","journal-title":"Internat. J. Comput. Appl."},{"key":"B56","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2009.12.022"},{"key":"B57","doi-asserted-by":"publisher","DOI":"10.1002\/for.2294"},{"key":"B58","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-2005-9602"},{"key":"B59","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2007.03.034"},{"key":"B60","doi-asserted-by":"publisher","DOI":"10.1093\/rfs\/hhx055"},{"key":"B61","doi-asserted-by":"publisher","DOI":"10.1111\/fima.12064"},{"key":"B62","author":"Zhou Y","year":"2024","journal-title":"Management Sci."}],"container-title":["Management Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/pubsonline.informs.org\/doi\/pdf\/10.1287\/mnsc.2023.03604","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T08:25:02Z","timestamp":1778228702000},"score":1,"resource":{"primary":{"URL":"https:\/\/pubsonline.informs.org\/doi\/10.1287\/mnsc.2023.03604"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":62,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2026,5]]}},"alternative-id":["10.1287\/mnsc.2023.03604"],"URL":"https:\/\/doi.org\/10.1287\/mnsc.2023.03604","relation":{"has-preprint":[{"id-type":"doi","id":"10.2139\/ssrn.4338277","asserted-by":"object"}]},"ISSN":["0025-1909","1526-5501"],"issn-type":[{"value":"0025-1909","type":"print"},{"value":"1526-5501","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5]]}}}