{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T15:34:42Z","timestamp":1774539282532,"version":"3.50.1"},"reference-count":75,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tkde.2022.3185151","type":"journal-article","created":{"date-parts":[[2022,6,21]],"date-time":"2022-06-21T19:43:58Z","timestamp":1655840638000},"page":"1-14","source":"Crossref","is-referenced-by-count":90,"title":["Memory-Guided Multi-View Multi-Domain Fake News Detection"],"prefix":"10.1109","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7096-3190","authenticated-orcid":false,"given":"Yongchun","family":"Zhu","sequence":"first","affiliation":[{"name":"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2481-5023","authenticated-orcid":false,"given":"Qiang","family":"Sheng","sequence":"additional","affiliation":[{"name":"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7857-1546","authenticated-orcid":false,"given":"Juan","family":"Cao","sequence":"additional","affiliation":[{"name":"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China"}]},{"given":"Qiong","family":"Nan","sequence":"additional","affiliation":[{"name":"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6043-1764","authenticated-orcid":false,"given":"Kai","family":"Shu","sequence":"additional","affiliation":[{"name":"Illinois Institute of Technology, Chicago, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8179-7119","authenticated-orcid":false,"given":"Minghui","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer and Computing Science, Zhejiang University City College, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4833-0880","authenticated-orcid":false,"given":"Jindong","family":"Wang","sequence":"additional","affiliation":[{"name":"Microsoft Research Asia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9170-7009","authenticated-orcid":false,"given":"Fuzhen","family":"Zhuang","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence, Beihang University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref13","first-page":"2096","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313741"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380172"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015989"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1347"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00149"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/3395046"},{"key":"ref53","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330935"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.102959"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1177\/0272989X8900900307"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531816"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412236"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i1.16134"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2020.3004555"},{"key":"ref19","article-title":"CoAID: COVID-19 healthcare misinformation dataset","author":"cui","year":"2020"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1089\/big.2020.0062"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403359"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219903"},{"key":"ref46","first-page":"5049","article-title":"MixMatch: A holistic approach to semi-supervised learning","author":"berthelot","year":"2019","journal-title":"Proc 33rd Int Conf Neural Inf Process Syst"},{"key":"ref45","article-title":"Neural turing machines","author":"graves","year":"2014"},{"key":"ref48","article-title":"MM-COVID: A multilingual and multimodal data repository for combating COVID-19 disinformation","author":"li","year":"2020"},{"key":"ref47","first-page":"18408","article-title":"FlexMatch: Boosting semi-supervised learning with curriculum pseudo labeling","author":"zhang","year":"2021","journal-title":"Proc 35rd Int Conf Neural Inf Process Syst"},{"key":"ref42","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.07.010"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290985"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5386"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357862"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2740908.2742571"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.311"},{"key":"ref4","article-title":"Coronavirus rumors trigger irrational behaviors among chinese netizens","author":"chen","year":"2020"},{"key":"ref3","article-title":"Misinformation related to the COVID-19 pandemic","year":"2020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3137597.3137600"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3386\/w27417"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref35","first-page":"647","article-title":"DeCAF: A deep convolutional activation feature for generic visual recognition","author":"donahue","year":"2014","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref34","first-page":"3818","article-title":"Detecting rumors from microblogs with recurrent neural networks","author":"ma","year":"2016","journal-title":"Proc 25th Int Joint Conf Artif Intell"},{"key":"ref37","article-title":"Pre-training with whole word masking for chinese BERT","author":"cui","year":"2019"},{"key":"ref36","article-title":"RoBERTa: A robustly optimized bert pretraining approach","author":"liu","year":"2019"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450004"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.433"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331285"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412880"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref32","first-page":"180","article-title":"Constructing the affective lexicon ontology","volume":"27","author":"xu","year":"2008","journal-title":"J China Soc Sci Tech Inf"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/hir.12311"},{"key":"ref1","article-title":"News consumption across social media in 2021","author":"shearer","year":"2021"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/1963405.1963500"},{"key":"ref38","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2019","journal-title":"Proc Conf North Amer Chapter Assoc Comput Linguistics Hum Lang Technol"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/MIPR.2018.00092"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2021.102618"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1145\/3184558.3188729"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462990"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12021"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11268"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2872063"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482440"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-00126-0_11"},{"key":"ref25","first-page":"4116","article-title":"Contrastive multi-view representation learning on graphs","author":"hassani","year":"2020","journal-title":"Proc 37th Int Conf Mach Learn"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412046"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220007"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1003"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1022"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1991.3.1.79"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.eacl-main.83"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482139"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403092"},{"key":"ref28","article-title":"How to write high-quality news on social network? Predicting news quality by mining writing style","author":"yang","year":"2019"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3532074"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683170"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2021.07.020"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3481548"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467153"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/4358933\/09802916.pdf?arnumber=9802916","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,6]],"date-time":"2023-06-06T20:14:07Z","timestamp":1686082447000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9802916\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":75,"URL":"https:\/\/doi.org\/10.1109\/tkde.2022.3185151","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}