{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T14:39:44Z","timestamp":1764859184484,"version":"3.28.0"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"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":[[2019,11]]},"DOI":"10.1109\/milcom47813.2019.9020895","type":"proceedings-article","created":{"date-parts":[[2020,3,6]],"date-time":"2020-03-06T10:00:21Z","timestamp":1583488821000},"page":"1-7","source":"Crossref","is-referenced-by-count":7,"title":["Rumor Detection on Time-Series of Tweets via Deep Learning"],"prefix":"10.1109","author":[{"given":"Chandra Mouli Madhav","family":"Kotteti","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xishuang","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lijun","family":"Qian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"journal-title":"Deep Learning with Python","year":"2017","author":"chollet","key":"ref11"},{"journal-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","year":"2014","author":"chung","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2013.6707742"},{"key":"ref15","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"journal-title":"Keras","year":"2015","author":"chollet","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622631"},{"key":"ref18","article-title":"Learning reporting dynamics during breaking news for rumour detection in social media","volume":"abs 1610 7363","author":"zubiaga","year":"2016","journal-title":"CoRR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806607"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/HPCC\/SmartCity\/DSS.2018.00068"},{"key":"ref3","article-title":"Towards detecting rumours in social media","author":"zubiaga","year":"2015","journal-title":"Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132877"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON.2011.6129078"},{"journal-title":"PHEME dataset of rumours and non-rumours","year":"2016","author":"zubiaga","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489582"},{"key":"ref2","first-page":"1589","article-title":"Rumor has it: Identifying misinformation in microblogs","author":"qazvinian","year":"2011","journal-title":"Proceedings of the Conference on Empirical Methods in Natural Language Processing ser EMNLP &#x2018;11"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MITP.2017.4241459"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.28"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MILCOM.2012.6415780"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-04503-6_4"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MILCOM.2010.5680493"}],"event":{"name":"MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM)","start":{"date-parts":[[2019,11,12]]},"location":"Norfolk, VA, USA","end":{"date-parts":[[2019,11,14]]}},"container-title":["MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8993674\/9020712\/09020895.pdf?arnumber=9020895","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T17:54:38Z","timestamp":1658080478000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9020895\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/milcom47813.2019.9020895","relation":{},"subject":[],"published":{"date-parts":[[2019,11]]}}}