{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T07:11:40Z","timestamp":1765177900945,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"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":[[2018,10]]},"DOI":"10.1109\/tencon.2018.8650350","type":"proceedings-article","created":{"date-parts":[[2019,3,18]],"date-time":"2019-03-18T21:10:38Z","timestamp":1552943438000},"page":"1834-1838","source":"Crossref","is-referenced-by-count":15,"title":["FaNDeR: Fake News Detection Model Using Media Reliability"],"prefix":"10.1109","author":[{"given":"Youngkyung","family":"Seo","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Korea University, Seoul, Republic of Korea"}]},{"given":"Deokjin","family":"Seo","sequence":"additional","affiliation":[{"name":"Nuua, Seoul, Republic of Korea"}]},{"given":"Chang-Sung","family":"Jeong","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Korea University, Seoul, Republic of Korea"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICIAFS.2010.5715686"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SNPD.2010.31"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-2116"},{"key":"ref13","article-title":"Bidirectional attention flow for machine comprehension","author":"seo","year":"2016","journal-title":"5th International Conference on Learning Representations Palais des Congrès Neptune"},{"article-title":"Large-scale simple question answering with memory networks","year":"2015","author":"bordes","key":"ref14"},{"article-title":"Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks","year":"2015","author":"weston","key":"ref15"},{"key":"ref16","first-page":"2440","article-title":"End-to-end memory networks","author":"sukhbaatar","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref17","first-page":"2397","article-title":"Dynamic memory networks for visual and textual question answering","author":"xiong","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref18","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref19","first-page":"3630","article-title":"Matching networks for one shot learning","author":"vinyals","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref4","first-page":"45-7061-45-7061","article-title":"PolitiFact","volume":"45","year":"2008","journal-title":"Choice Reviews Online"},{"journal-title":"Bsdetector tech","article-title":"B.S. Detector - Browser extension to identify fake news sites","year":"2018","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/359545.359550"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052617"},{"article-title":"Machine Comprehension Using Match-LSTM and Answer Pointer","year":"2016","author":"wang","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-36271-1_24"},{"key":"ref2","first-page":"817","article-title":"Fake News Detection","volume":"4","author":"gahirwal","year":"2018","journal-title":"International Journal of Advance Research and Innovations in Technology"},{"key":"ref1","article-title":"How to Spot Fake News - FactCheck.org","author":"kiely","year":"2016","journal-title":"FactCheck org"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2187836.2187923"},{"journal-title":"Patent","year":"2014","author":"campbell","key":"ref20"},{"key":"ref21","first-page":"507","article-title":"Large-Margin Softmax Loss for Convolutional Neural Networks","author":"liu","year":"2016","journal-title":"ICML"}],"event":{"name":"TENCON 2018 - 2018 IEEE Region 10 Conference","start":{"date-parts":[[2018,10,28]]},"location":"Jeju, Korea (South)","end":{"date-parts":[[2018,10,31]]}},"container-title":["TENCON 2018 - 2018 IEEE Region 10 Conference"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8643125\/8650051\/08650350.pdf?arnumber=8650350","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,16]],"date-time":"2022-09-16T19:41:22Z","timestamp":1663357282000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8650350\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/tencon.2018.8650350","relation":{},"subject":[],"published":{"date-parts":[[2018,10]]}}}