{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T15:53:58Z","timestamp":1783526038313,"version":"3.55.0"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["6210071416"],"award-info":[{"award-number":["6210071416"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tmm.2022.3229966","type":"journal-article","created":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T17:55:09Z","timestamp":1695405309000},"page":"7906-7916","source":"Crossref","is-referenced-by-count":22,"title":["Modeling Both Intra- and Inter-Modality Uncertainty for Multimodal Fake News Detection"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7058-2662","authenticated-orcid":false,"given":"Lingwei","family":"Wei","sequence":"first","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7790-8568","authenticated-orcid":false,"given":"Dou","family":"Hu","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3622-3970","authenticated-orcid":false,"given":"Wei","family":"Zhou","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7170-3809","authenticated-orcid":false,"given":"Songlin","family":"Hu","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-42699-6_8"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622344"},{"key":"ref3","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Simonyan","year":"2015"},{"key":"ref4","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume-title":"Proc. North Amer. Chapter Assoc. Comput. Linguistics: Hum. Lang. Technol.-Hum. Lang. Technol. Conf.","author":"Devlin","year":"2019"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9206973"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2020.102437"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/BigMM.2019.00-44"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467153"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i10.7230"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-47436-2_27"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219903"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2021.102610"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.133"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123454"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350850"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.226"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2798607"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_01273"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-010-0182-0"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1963405.1963500"},{"key":"ref21","first-page":"1589","article-title":"Rumor has it: Identifying misinformation in microblogs","volume-title":"Proc. Conf. Empirical Methods Natural Lang. Process.","author":"Qazvinian","year":"2011"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.61"},{"key":"ref23","first-page":"3818","article-title":"Detecting rumors from microblogs with recurrent neural networks","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Ma","year":"2016"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/545"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482139"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.477"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-89363-7_8"},{"issue":"4","key":"ref28","first-page":"385","article-title":"A review on image feature extraction and representation techniques","volume":"8","author":"Tian","year":"2013","journal-title":"Int. J. Multimedia Ubiquitous Eng."},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2617078"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2145204.2145274"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v15i1.18102"},{"key":"ref32","first-page":"1106","article-title":"Imagenet classification with deep convolutional neural networks","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Krizhevsky","year":"2012"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3137597.3137600"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806607"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1066"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11268"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5393"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.297"},{"issue":"7","key":"ref39","article-title":"A rumor detection approach based on multi-relational propagation tree","volume":"58","author":"Hu","year":"2021","journal-title":"J. Comput. Res. Develop."},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i1.16134"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.279"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298935"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462871"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313552"},{"key":"ref45","first-page":"5574","article-title":"What uncertainties do we need in Bayesian deep learning for computer vision?","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Kendall","year":"2017"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00618"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413515"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00575"},{"key":"ref49","first-page":"9613","article-title":"Uncertainty reduction for model adaptation in semantic segmentation","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","author":"Sivaprasad","year":"2021"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01024"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.580"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-emnlp.26"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-61705-9_2"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6479"},{"key":"ref55","first-page":"335","article-title":"PALI-NLP at SemEval-2022 task 4: Discriminative fine-tuning of deep transformers for patronizing and condescending language detection","volume-title":"Proc. Conf. North Amer. Chapter Assoc. Comput. Linguistics: Hum. Lang. Technol.","author":"Hu","year":"2022"},{"key":"ref56","first-page":"380","article-title":"Utilizing bert for aspect-based sentiment analysis via constructing auxiliary sentence","volume-title":"Proc. Conf. North Amer. Chapter Assoc. Comput. Linguistics: Hum. Lang. Technol.-Hum. Lang. Technol. Conf.","author":"Sun","year":"2019"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-67664-3_38"},{"key":"ref58","first-page":"1","article-title":"Deep variational information bottleneck","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Alemi","year":"2017"},{"key":"ref59","first-page":"1","article-title":"Auto-encoding variational bayes","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma","year":"2014"},{"key":"ref60","first-page":"1","article-title":"Verifying multimedia use at mediaeval 2016","volume-title":"Proc. Multimedia Retrieval, Access Exploration","author":"Boididou","year":"2016"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.91"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref63","first-page":"1176","article-title":"Catastrophic interference in connectionist networks: Can it be predicted, can it be prevented?","volume-title":"Proc. Neural Inf. Process. Syst.","author":"French","year":"1993"},{"key":"ref64","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma","year":"2015"},{"issue":"11","key":"ref65","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/10016790\/10261246.pdf?arnumber=10261246","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,20]],"date-time":"2023-12-20T01:14:06Z","timestamp":1703034846000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10261246\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":65,"URL":"https:\/\/doi.org\/10.1109\/tmm.2022.3229966","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}