{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T12:26:13Z","timestamp":1765974373296,"version":"3.28.0"},"reference-count":18,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/bigdata.2018.8622631","type":"proceedings-article","created":{"date-parts":[[2019,1,25]],"date-time":"2019-01-25T03:07:18Z","timestamp":1548385638000},"page":"4413-4419","source":"Crossref","is-referenced-by-count":9,"title":["Multiple Time-Series Data Analysis for Rumor Detection on Social Media"],"prefix":"10.1109","author":[{"given":"Chandra Mouli","family":"Madhav Kotteti","sequence":"first","affiliation":[]},{"given":"Xishuang","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Lijun","family":"Qian","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009715923555"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON.2011.6129078"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.28"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2994605"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.61"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806607"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"680","DOI":"10.5626\/JOK.2017.44.7.680","article-title":"Initial small data reveal rumor traits via recurrent neural networks","volume":"44","author":"kwon","year":"2017","journal-title":"Journal of KIISE"},{"key":"ref18","first-page":"141","author":"nguyen","year":"2017","journal-title":"On early-stage debunking rumors on twitter Leveraging the wisdom of weak learners"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3137597.3137600"},{"key":"ref3","first-page":"1589","article-title":"Rumor has it: Identifying misinformation in microblogs","author":"qazvinian","year":"0"},{"journal-title":"Automatic rumor detection on microblogs A survey","year":"2018","author":"cao","key":"ref6"},{"key":"ref5","article-title":"Speed and power of computation opens doors to new possibilities","volume":"252","author":"sawyer","year":"2004","journal-title":"ENR (Engineering News-Record)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1080\/10439463.2013.780223"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1080\/10919392.2018.1444337"},{"key":"ref2","article-title":"Learning reporting dynamics during breaking news for rumour detection in social media","author":"zubiaga","year":"2016","journal-title":"arXiv preprint arXiv 1610 01292"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MITP.2017.4241459"},{"article-title":"Pheme dataset of rumours and non-rumours","year":"2016","author":"zubiaga","key":"ref9"}],"event":{"name":"2018 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2018,12,10]]},"location":"Seattle, WA, USA","end":{"date-parts":[[2018,12,13]]}},"container-title":["2018 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8610059\/8621858\/08622631.pdf?arnumber=8622631","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T23:41:00Z","timestamp":1643240460000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8622631\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2018.8622631","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}