{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T15:05:55Z","timestamp":1775228755975,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,7,19]],"date-time":"2018-07-19T00:00:00Z","timestamp":1531958400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1742845"],"award-info":[{"award-number":["CNS-1742845"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,7,19]]},"DOI":"10.1145\/3219819.3219903","type":"proceedings-article","created":{"date-parts":[[2018,7,19]],"date-time":"2018-07-19T13:05:12Z","timestamp":1532005512000},"page":"849-857","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":916,"title":["EANN"],"prefix":"10.1145","author":[{"given":"Yaqing","family":"Wang","sequence":"first","affiliation":[{"name":"SUNY Buffalo, Buffalo, NY, USA"}]},{"given":"Fenglong","family":"Ma","sequence":"additional","affiliation":[{"name":"SUNY Buffalo, Buffalo, NY, USA"}]},{"given":"Zhiwei","family":"Jin","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, Beijing, China"}]},{"given":"Ye","family":"Yuan","sequence":"additional","affiliation":[{"name":"Beijing University of Technology, Beijing, China"}]},{"given":"Guangxu","family":"Xun","sequence":"additional","affiliation":[{"name":"SUNY Buffalo, Buffalo, NY, USA"}]},{"given":"Kishlay","family":"Jha","sequence":"additional","affiliation":[{"name":"SUNY Buffalo, Buffalo, NY, USA"}]},{"given":"Lu","family":"Su","sequence":"additional","affiliation":[{"name":"SUNY Buffalo, Buffalo, NY, USA"}]},{"given":"Jing","family":"Gao","sequence":"additional","affiliation":[{"name":"SUNY Buffalo, Buffalo, NY, USA"}]}],"member":"320","published-online":{"date-parts":[[2018,7,19]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1257\/jep.31.2.211"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.279"},{"key":"e_1_3_2_1_3_1","volume-title":"et almbox","author":"Boididou Christina","year":"2015"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1963405.1963500"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078186"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/2857070.2857152"},{"key":"e_1_3_2_1_7_1","volume-title":"Fake news mitigation via point process based intervention. arXiv preprint arXiv:1703.07823","author":"Farajtabar Mehrdad","year":"2017"},{"key":"e_1_3_2_1_8_1","volume-title":"International Conference on Machine Learning. 1180--1189","author":"Ganin Yaroslav","year":"2015"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"e_1_3_2_1_10_1","unstructured":"Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680.   Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680."},{"key":"e_1_3_2_1_11_1","volume-title":"Tweetcred: Real-time credibility assessment of content on twitter International Conference on Social Informatics","author":"Gupta Aditi","year":"2014"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972825.14"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123454"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.91"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2617078"},{"key":"e_1_3_2_1_16_1","volume-title":"A convolutional neural network for modelling sentences. arXiv preprint arXiv:1404.2188","author":"Kalchbrenner Nal","year":"2014"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Andrej Karpathy and Li Fei-Fei. 2015. Deep visual-semantic alignments for generating image descriptions Proceedings of the IEEE conference on computer vision and pattern recognition. 3128--3137.  Andrej Karpathy and Li Fei-Fei. 2015. Deep visual-semantic alignments for generating image descriptions Proceedings of the IEEE conference on computer vision and pattern recognition. 3128--3137.","DOI":"10.1109\/CVPR.2015.7298932"},{"key":"e_1_3_2_1_18_1","volume-title":"Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882","author":"Kim Yoon","year":"2014"},{"key":"e_1_3_2_1_19_1","volume-title":"2013 IEEE 13th International Conference on. IEEE, 1103--1108","author":"Kwon Sejeong","year":"2013"},{"key":"e_1_3_2_1_20_1","volume-title":"Precise recovery of latent vectors from generative adversarial networks. arXiv preprint arXiv:1702.04782","author":"Lipton Zachary C","year":"2017"},{"key":"e_1_3_2_1_21_1","unstructured":"Jing Ma Wei Gao Prasenjit Mitra Sejeong Kwon Bernard J Jansen Kam-Fai Wong and Meeyoung Cha. 2016. Detecting Rumors from Microblogs with Recurrent Neural Networks. IJCAI. 3818--3824.   Jing Ma Wei Gao Prasenjit Mitra Sejeong Kwon Bernard J Jansen Kam-Fai Wong and Meeyoung Cha. 2016. Detecting Rumors from Microblogs with Recurrent Neural Networks. IJCAI. 3818--3824."},{"key":"e_1_3_2_1_22_1","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten Laurens","year":"2008","journal-title":"Journal of machine learning research"},{"key":"e_1_3_2_1_23_1","volume-title":"Adversarial autoencoders. arXiv preprint arXiv:1511.05644","author":"Makhzani Alireza","year":"2015"},{"key":"e_1_3_2_1_24_1","first-page":"385","article-title":"A review on image feature extraction and representation techniques","volume":"8","author":"Tian Dong","year":"2013","journal-title":"International Journal of Multimedia and Ubiquitous Engineering"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132877"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.11.013"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3137597.3137600"},{"key":"e_1_3_2_1_28_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014"},{"key":"e_1_3_2_1_29_1","volume-title":"Stefano Moret, and Luca de Alfaro.","author":"Tacchini Eugenio","year":"2017"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298935"},{"key":"e_1_3_2_1_31_1","volume-title":"2015 IEEE 31st International Conference on. IEEE, 651--662","author":"Wu Ke","year":"2015"},{"key":"e_1_3_2_1_32_1","volume-title":"International Conference on Machine Learning. 4100--4109","author":"Zhao Mingmin","year":"2017"}],"event":{"name":"KDD '18: The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"London United Kingdom","acronym":"KDD '18","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3219819.3219903","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3219819.3219903","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3219819.3219903","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:07:20Z","timestamp":1750212440000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3219819.3219903"}},"subtitle":["Event Adversarial Neural Networks for Multi-Modal Fake News Detection"],"short-title":[],"issued":{"date-parts":[[2018,7,19]]},"references-count":32,"alternative-id":["10.1145\/3219819.3219903","10.1145\/3219819"],"URL":"https:\/\/doi.org\/10.1145\/3219819.3219903","relation":{},"subject":[],"published":{"date-parts":[[2018,7,19]]},"assertion":[{"value":"2018-07-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}