{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T14:37:14Z","timestamp":1786113434426,"version":"build-2736575974"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant"},{"DOI":"10.13039\/501100009192","name":"Alberta Innovates","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100009192","id-type":"DOI","asserted-by":"crossref"}]},{"name":"New Frontiers in Research Fund"},{"name":"University of Calgary Transdisciplinary Scholarship Connector Grant"},{"name":"University of Calgary Research Excellence Chair in Trustworthy and Explainable Artificial Intelligence"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3717645","type":"journal-article","created":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T19:03:15Z","timestamp":1785265395000},"page":"116304-116320","source":"Crossref","is-referenced-by-count":0,"title":["Unified Metadata-Aware Transformer Framework for Misleading News Classification"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3903-5177","authenticated-orcid":false,"given":"Mahmudul","family":"Haque","sequence":"first","affiliation":[{"name":"University of Calgary","place":["Calgary, AB, Canada"],"department":["Department of Computer Science"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A. S. M. Hossain","family":"Bari","sequence":"additional","affiliation":[{"name":"University of Calgary","place":["Calgary, AB, Canada"],"department":["Department of Computer Science"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5338-1834","authenticated-orcid":false,"given":"Marina L.","family":"Gavrilova","sequence":"additional","affiliation":[{"name":"University of Calgary","place":["Calgary, AB, Canada"],"department":["Department of Computer Science"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-10706-1_14"},{"key":"ref2","volume-title":"LIAR2","author":"Xu","year":"2024"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2022.09.001"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2023.e20382"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/jcp5040104"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114171"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3373464.3373473"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121629"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-024-05453-7"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1907.11692"},{"key":"ref12","article-title":"DistilBERT, a distilled version of BERT: Smaller, faster, cheaper and lighter","author":"Sanh","year":"2019","journal-title":"arXiv:1910.01108"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3395046"},{"key":"ref14","first-page":"8778","article-title":"Generalized cross entropy loss for training deep neural networks with noisy labels","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Zhang"},{"key":"ref15","first-page":"10890","article-title":"R-drop: Regularized dropout for neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Liang"},{"key":"ref16","volume-title":"PolitiFact Fact Check Dataset","author":"Misra","year":"2022"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1126\/science.aap9559"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3137597.3137600"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-10869-3_12"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3418340"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1317"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/info16040297"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1475"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-naacl.94"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132877"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3341161.3342927"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00641"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3115\/1667583.1667679"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICWR61162.2024.10533352"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11626870.pdf?arnumber=11626870","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T19:06:53Z","timestamp":1785956813000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11626870\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3717645","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}