{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,7,13]],"date-time":"2023-07-13T21:40:53Z","timestamp":1689284453613},"reference-count":32,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2014]]},"DOI":"10.1587\/transinf.e97.d.1557","type":"journal-article","created":{"date-parts":[[2014,5,31]],"date-time":"2014-05-31T23:18:16Z","timestamp":1401578296000},"page":"1557-1566","source":"Crossref","is-referenced-by-count":2,"title":["Creating Stories from Socially Curated Microblog Messages"],"prefix":"10.1587","volume":"E97.D","author":[{"given":"Akisato","family":"KIMURA","sequence":"first","affiliation":[{"name":"NTT Communication Science Laboratories, NTT Corporation"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kevin","family":"DUH","sequence":"additional","affiliation":[{"name":"Graduate School of Information Science, Nara Institute of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tsutomu","family":"HIRAO","sequence":"additional","affiliation":[{"name":"NTT Communication Science Laboratories, NTT Corporation"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Katsuhiko","family":"ISHIGURO","sequence":"additional","affiliation":[{"name":"NTT Communication Science Laboratories, NTT Corporation"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomoharu","family":"IWATA","sequence":"additional","affiliation":[{"name":"NTT Communication Science Laboratories, NTT Corporation"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Albert","family":"AU YEUNG","sequence":"additional","affiliation":[{"name":"Axon Labs Limited"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] K. Duh, T. Hirao, A. Kimura, K. Ishiguro, T. Iwata, and C. Au Yeung, “Creating stories: Social curation of Twitter messages,” Proc. International AAAI Conference on Weblogs and Social Media (ICWSM), pp.447-450, 2012.","DOI":"10.1609\/icwsm.v6i1.14287"},{"key":"2","unstructured":"[2] Q. Diao, J. Jiang, F. Zhu, and E.P. Lim, “Finding bursty topics from microblogs,” Proc. Annual Meeting of the Association for Computational Linguistics (ACL), pp.536-544, July 2012."},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] H. Becker, M. Naaman, and L. Gravano, “Beyond trending topics: Real-world event identification on Twitter,” Proc. International AAAI Conference on Weblogs and Social Media (ICWSM), pp.438-441, 2011.","DOI":"10.1609\/icwsm.v5i1.14146"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] D. Chakrabarti and K. Punera, “Event summarization using tweets,” Proc. International AAAI Conference on Weblogs and Social Media (ICWSM), pp.66-73, 2011.","DOI":"10.1609\/icwsm.v5i1.14138"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] O. Dan, J. Feng, and B. Davison, “Filtering microblogging messages for social TV,” Proc. International Conference Companion on World Wide Web (WWW), pp.197-200, 2011.","DOI":"10.1145\/1963192.1963288"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] B. Sriram, D. Fuhry, E. Demir, H. Ferhatosmanoglu, and M. Demirbas, “Short text classification in Twitter to improve information filtering,” Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp.841-842, 2010.","DOI":"10.1145\/1835449.1835643"},{"key":"7","unstructured":"[7] S. Rosenbaum, “Why content curation is here to stay.” http:\/\/mashable.com\/2010\/05\/03\/content-curation-creation\/, May 2010."},{"key":"8","unstructured":"[8] M. Ingram, “The future of media: Storify and the curatorial instinct.” http:\/\/gigaom.com\/2011\/04\/25\/the-future-of-media-storify-and-the-curatorial-instinct\/, April 2011."},{"key":"9","unstructured":"[9] R. Scoble, “The seven needs of real time curators.” http:\/\/scobleizer.com\/2010\/03\/27\/the-seven-needs-of-real-time-curators\/, March 2010."},{"key":"10","unstructured":"[10] A. Kimura, “Social curation as corpora for large-scale multimedia content analysis,” Proc. ACM International Conference on Multimedia Retrieval, April 2013. http:\/\/bit.ly\/ICMR2013Curation"},{"key":"11","unstructured":"[11] D. Greene, F. Reid, P. Cunningham, and G. Sheridan, “Supporting the curation of Twitter user lists,” Proc. NIPS Workshop on Computational Social Science and the Wisdom of Crowds, 2011."},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] J. Hannon, M. Bennett, and B. Smyth, “Recommending Twitter users to follow using content and collaborative filtering approaches,” Proc. ACM Conference on Recommender Systems (RecSys), pp.199-206, 2010.","DOI":"10.1145\/1864708.1864746"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] J. Weng, E.P. Lim, J. Jiang, and Q. He, “TwitterRank: Finding topic-sensitive influential Twitterers,” Proc. ACM International Conference on Web Search and Data Mining (WSDM), pp.261-270, 2010.","DOI":"10.1145\/1718487.1718520"},{"key":"14","unstructured":"[14] J. Chen, R. Nairn, L. Nelson, M. Bernstein, and E. Chi, “Short and Tweet: Experiments on recommending content from information streams,” Proc. International Conference on Human Factors in Computing Systems (CHI), pp.1185-1194, 2010."},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] L. Hong and B. Davidson, “Empirical study of topic modeling in Twitter,” Proc. KDD Workshop on Social Media Analytics, 2010.","DOI":"10.1145\/1964858.1964870"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] D. Ramage, S. Dumais, and D. Liebling, “Characterizing microblogs with topic models,” Proc. International AAAI Conference on Weblogs and Social Media (ICWSM), pp.130-137, 2010.","DOI":"10.1609\/icwsm.v4i1.14026"},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] I. Guy, I. Ronen, and A. Raviv, “Personalized activity streams: Sifting through the “River of News”,” Proc. ACM Conference on Recommender Systems (RecSys), pp.181-188, 2011.","DOI":"10.1145\/2043932.2043966"},{"key":"18","unstructured":"[18] Y. Duan, L. Jiang, T. Qin, M. Zhou, and H.Y. Shum, “An empirical study on learning to rank of tweets,” Proc. International Conference on Computational Linguistics (COLING), pp.295-303, Aug. 2010."},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] F. Cheng, X. Zhang, B. He, T. Luo, and W. Wang, “A survey of learning to rank for real-time Twitter search,” Proc. International Conference on Pervasive Computing and Applications (ICPCA), pp.150-164, 2012.","DOI":"10.1007\/978-3-642-37015-1_13"},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] B. Jansen, M. Zhang, K. Sobel, and A. Chowdury, “Twitter power: Tweets as electronic word of mouth,” J. American Society for Information Science and Technology, vol.60, no.11, pp.2169-2188, Nov. 2009.","DOI":"10.1002\/asi.21149"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] H. Kwak, C. Lee, H. Park, and S. Moon, “What is Twitter, a social network or a news media?,” Proc. International Conference Companion on World Wide Web (WWW), pp.591-600, 2010.","DOI":"10.1145\/1772690.1772751"},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] A. Java, X. Song, T. Finin, and B. Tseng, “Why we twitter: Understanding microblogging usage and communities,” Proc. WEBKDD and SNA-KDD Workshop on Web Mining and Social Network Analysis, pp.56-65, 2007.","DOI":"10.1145\/1348549.1348556"},{"key":"23","unstructured":"[23] C. Honeycutt and S. Herring, “Beyond microblogging: Conversation and collaboration via Twitter,” Proc. Hawaii International Conference on System Sciences (HICSS), pp.1-10, 2009."},{"key":"24","unstructured":"[24] C. He, C. Wang, Y.X. Zhong, and R.F. Li, “A survey on learning to rank,” Proc. International Conference on Machine Learning and Cybernetics (ICMLC), pp.1734-1739, 2008."},{"key":"25","doi-asserted-by":"crossref","unstructured":"[25] T. Joachims, “Training linear SVMs in linear time,” ACM International Conference on Knowledge Discovery and Data Mining (KDD), pp.217-226, 2006.","DOI":"10.1145\/1150402.1150429"},{"key":"26","doi-asserted-by":"crossref","unstructured":"[26] C. Manning, P. Raghavan, and H. Schütze, Introduction to Information Retrieval, Cambridge University Press, 2008.","DOI":"10.1017\/CBO9780511809071"},{"key":"27","doi-asserted-by":"crossref","unstructured":"[27] S. Robertson and H. Zaragoza, “The probabilistic relevance framework: BM25 and beyond,” Foundations and Trends in Information Retrieval, vol.3, no.4, pp.333-389, April 2009.","DOI":"10.1561\/1500000019"},{"key":"28","doi-asserted-by":"crossref","unstructured":"[28] J. Weston, R. Kuang, C. Leslie, and W. Noble, “Protein ranking by semi-supervised network propagation,” BMC Bioinformatics, vol.7, no.S-1, 2006.","DOI":"10.1186\/1471-2105-7-S1-S10"},{"key":"29","doi-asserted-by":"crossref","unstructured":"[29] K. Jarvelin and J. Kekalainen, “IR evaluation methods for retrieving highly relevant documents,” Proc. International ACM Conference on Research and Development in Information Retrieval (SIGIR), pp.41-48, 2000.","DOI":"10.1145\/345508.345545"},{"key":"30","unstructured":"[30] S. Petrovic, M. Osborne, and V. Lavrenko, “Streaming first story detection with application to Twitter,” Proc. Conference of the North American Chapter of the Association for Computational Linguistics, pp.181-189, 2010."},{"key":"31","unstructured":"[31] S. Petrovic, M. Osborne, and V. Lavrenko, “Using paraphrases for improving first story detection in news and twitter,” Proc. Conference of the North American Chapter of the Association for Computational Linguistics, pp.338-346, 2012."},{"key":"32","unstructured":"[32] M. Osborne, S. Petrovic, R. McCreadie, C. Macdonald, and I. Ounis, “Bieber no more: First story detection using twitter and wikipedia,” Proc. SIGIR Workshop on Time-aware Information Access, 2012."}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E97.D\/6\/E97.D_1557\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,13]],"date-time":"2023-07-13T21:05:34Z","timestamp":1689282334000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E97.D\/6\/E97.D_1557\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":32,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2014]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.e97.d.1557","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}