{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T16:34:30Z","timestamp":1784910870226,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":43,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,11,6]],"date-time":"2017-11-06T00:00:00Z","timestamp":1509926400000},"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":["1619458, 1254206"],"award-info":[{"award-number":["1619458, 1254206"]}],"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":[[2017,11,6]]},"DOI":"10.1145\/3132847.3132877","type":"proceedings-article","created":{"date-parts":[[2017,11,6]],"date-time":"2017-11-06T13:30:29Z","timestamp":1509975029000},"page":"797-806","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":660,"title":["CSI"],"prefix":"10.1145","author":[{"given":"Natali","family":"Ruchansky","sequence":"first","affiliation":[{"name":"University of Southern California, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sungyong","family":"Seo","sequence":"additional","affiliation":[{"name":"University of Southern California, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Southern California, Los Angeles, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2017,11,6]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488400"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2531602.2531623"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1963405.1963500"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0096"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2823465.2823467"},{"key":"e_1_3_2_1_6_1","volume-title":"Americans Believe They Can Detect Fake News. Studies Show They Can't. (December","author":"Edkins Brett","year":"2016"},{"key":"e_1_3_2_1_7_1","unstructured":"Vanessa Wei Feng and Graeme Hirst. 2013. Detecting Deceptive Opinions with Profile Compatibility. IJCNLP. 338--346.  Vanessa Wei Feng and Graeme Hirst. 2013. Detecting Deceptive Opinions with Profile Compatibility. IJCNLP. 338--346."},{"key":"e_1_3_2_1_8_1","volume-title":"Emergent: a novel data-set for stance classification Proceedings of the 2016 Conference of the North American","author":"Ferreira William"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Adrien Friggeri Lada A Adamic Dean Eckles and Justin Cheng. 2014. Rumor Cascades. ICWSM.  Adrien Friggeri Lada A Adamic Dean Eckles and Justin Cheng. 2014. Rumor Cascades. ICWSM.","DOI":"10.1609\/icwsm.v8i1.14559"},{"key":"e_1_3_2_1_10_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_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(01)00706-8"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2016.5"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2501025.2501027"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883085"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0168344"},{"key":"e_1_3_2_1_16_1","volume-title":"ICML","volume":"14","author":"Le Quoc V","year":"2014"},{"key":"e_1_3_2_1_17_1","volume-title":"Sequential short-text classification with recurrent and convolutional neural networks. arXiv preprint arXiv:1603.03827","author":"Lee Ji Young","year":"2016"},{"key":"e_1_3_2_1_18_1","volume-title":"Mining of massive datasets","author":"Leskovec Jure"},{"key":"e_1_3_2_1_19_1","volume-title":"Fake News Is Not the Only Problem. (November","author":"Lotan Gilad","year":"2016"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2256902"},{"key":"e_1_3_2_1_21_1","volume-title":"Detecting rumors from microblogs with recurrent neural networks Proceedings of IJCAI","author":"Ma Jing"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806607"},{"key":"e_1_3_2_1_23_1","volume-title":"How Fake News Goes Viral: A Case Study. (November","author":"Maheshwari Sapa","year":"2016"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/1531914.1531924"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0105937"},{"key":"e_1_3_2_1_26_1","volume-title":"How to tell fake news from real news. (January","author":"McClure Laura","year":"2017"},{"key":"e_1_3_2_1_27_1","volume-title":"One-class support measure machines for group anomaly detection. arXiv preprint arXiv:1303.0309","author":"Muandet Krikamol","year":"2013"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2187836.2187863"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btl060"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Victoria L Rubin. 2017. Deception Detection and Rumor Debunking for Social Media. (2017).  Victoria L Rubin. 2017. Deception Detection and Rumor Debunking for Social Media. (2017).","DOI":"10.4135\/9781473983847.n21"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/2857070.2857153"},{"key":"e_1_3_2_1_32_1","volume-title":"false flags, and digital vigilantes: Misinformation on twitter after the 2013 boston marathon bombing. iConference 2014 Proceedings","author":"Starbird Kate","year":"2014"},{"key":"e_1_3_2_1_33_1","unstructured":"Ilya Sutskever Oriol Vinyals and Quoc V Le. 2014. Sequence to sequence learning with neural networks Advances in neural information processing systems. 3104--3112.   Ilya Sutskever Oriol Vinyals and Quoc V Le. 2014. Sequence to sequence learning with neural networks Advances in neural information processing systems. 3104--3112."},{"key":"e_1_3_2_1_34_1","volume-title":"Google has banned 200 publishers since it passed a new policy against fake news. (January","author":"Townsend Tess","year":"2017"},{"key":"e_1_3_2_1_35_1","volume-title":"Online human-bot interactions: Detection, estimation, and characterization. arXiv preprint arXiv:1703.03107","author":"Varol Onur","year":"2017"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","unstructured":"Di Wang and Eric Nyberg. 2015. A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering. ACL (2). 707--712.  Di Wang and Eric Nyberg. 2015. A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering. ACL (2). 707--712.","DOI":"10.3115\/v1\/P15-2116"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/2637364.2591993"},{"key":"e_1_3_2_1_38_1","volume-title":"2015 IEEE 31st International Conference on. IEEE, 651--662","author":"Wu Ke","year":"2015"},{"key":"e_1_3_2_1_39_1","volume-title":"2011 a","author":"Xiong Liang"},{"key":"e_1_3_2_1_40_1","volume-title":"2011 b","author":"Xiong Liang"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/2811268"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741637"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2014.2364972"}],"event":{"name":"CIKM '17: ACM Conference on Information and Knowledge Management","location":"Singapore Singapore","acronym":"CIKM '17","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 2017 ACM on Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132847.3132877","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3132847.3132877","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3132847.3132877","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:13:25Z","timestamp":1750212805000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3132847.3132877"}},"subtitle":["A Hybrid Deep Model for Fake News Detection"],"short-title":[],"issued":{"date-parts":[[2017,11,6]]},"references-count":43,"alternative-id":["10.1145\/3132847.3132877","10.1145\/3132847"],"URL":"https:\/\/doi.org\/10.1145\/3132847.3132877","relation":{},"subject":[],"published":{"date-parts":[[2017,11,6]]},"assertion":[{"value":"2017-11-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}