{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:42:56Z","timestamp":1763192576417,"version":"3.45.0"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"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":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11227411","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Multi-Modal Multi-Domain Fake News Detection Based on Global-Local Contrastive Learning"],"prefix":"10.1109","author":[{"given":"Siyu","family":"Li","sequence":"first","affiliation":[{"name":"Inner Mongolia University,Hohhot,China"}]},{"given":"Jianhua","family":"Chi","sequence":"additional","affiliation":[{"name":"Inner Mongolia University,Hohhot,China"}]},{"given":"Xianguo","family":"Zhang","sequence":"additional","affiliation":[{"name":"Inner Mongolia University,Hohhot,China"}]}],"member":"263","reference":[{"article-title":"False news worldwide - statistics facts","year":"2024","author":"Watson","key":"ref1"},{"year":"2023","key":"ref2","article-title":"China internet joint disinformation platform 2023 rumor inventory"},{"issue":"59","key":"ref3","first-page":"1","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"Ganin","year":"2016","journal-title":"Journal of machine learning research"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00149"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015989"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1095"},{"article-title":"Detecting rumors from microblogs with recurrent neural networks","year":"2016","author":"Ma","key":"ref7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/545"},{"key":"ref9","first-page":"383","article-title":"Which machine learning paradigm for fake news detection?","volume-title":"IEEE\/WIC\/ACM International Conference on Web Intelligence","author":"Katsaros"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8885861"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2021.102723"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-15777-6_26"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2023.108866"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2487788.2488033"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2617078"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-47436-2_27"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3487553.3524650"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i11.26609"},{"key":"ref19","first-page":"25","article-title":"Convolutional neural networks for sentence classification","volume":"6","author":"Rakhlin","year":"2016","journal-title":"GitHub"},{"article-title":"Roberta: A robustly optimized bert pretraining approach","year":"2019","author":"Liu","key":"ref20"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220007"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403359"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i1.16134"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482139"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3185151"},{"article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","year":"2018","author":"Devlin","key":"ref26"},{"key":"ref27","article-title":"Roberta: A robustly optimized BERT pretraining approach","volume-title":"CoRR","author":"Liu","year":"2019"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450004"},{"key":"ref30","article-title":"Cross-attention inspired selective state space models for target sound extraction","volume-title":"CoRR","author":"Wu","year":"2024"},{"key":"ref31","article-title":"r\/fakeddit: A new multimodal benchmark dataset for fine-grained fake news detection","volume-title":"CoRR","author":"Nakamura","year":"2019"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612086"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-04055-5"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462871"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3591106.3592271"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5386"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11227411.pdf?arnumber=11227411","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:38:45Z","timestamp":1763192325000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11227411\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11227411","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}