{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T11:21:37Z","timestamp":1743160897829,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030604561"},{"type":"electronic","value":"9783030604578"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-60457-8_30","type":"book-chapter","created":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T20:02:57Z","timestamp":1602014577000},"page":"366-377","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Rumor Detection on Hierarchical Attention Network with User and Sentiment Information"],"prefix":"10.1007","author":[{"given":"Sujun","family":"Dong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhong","family":"Qian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peifeng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoxu","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiaoming","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,10,2]]},"reference":[{"key":"30_CR1","doi-asserted-by":"crossref","unstructured":"Khoo, L., Chieu, H., Qian, Z., Jiang, J.: Interpretable rumor detection in microblogs by attending to user interactions. In: 34th AAAI Conference on Artificial Intelligence, AAAI 2020, New York, pp. 8783\u20138790 (2020)","DOI":"10.1609\/aaai.v34i05.6405"},{"key":"30_CR2","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.patrec.2017.10.014","volume":"105","author":"W Chen","year":"2018","unstructured":"Chen, W., Zhang, Y., Yeo, C., Lee, B., Lau, C.: Unsupervised rumor detection based on users\u2019 behaviors using neural networks. Pattern Recogn. Lett. 105, 226\u2013233 (2018)","journal-title":"Pattern Recogn. Lett."},{"key":"30_CR3","doi-asserted-by":"crossref","unstructured":"Do, T., Luo, X., Nguyen, D., Deligiannis, N.: Rumour detection via news propagation dynamics and user representation learning. In: IEEE Data Science Workshop, DSW 2019, Minneapolis, MN, USA, pp. 196\u2013200 (2019)","DOI":"10.1109\/DSW.2019.8755600"},{"key":"30_CR4","doi-asserted-by":"crossref","unstructured":"Kumar, S., Carley, K.: Tree LSTMs with convolution units to predict stance and rumor veracity in social media conversations. In: 57th Conference of the Association for Computational Linguistics, Florence, pp. 5047\u20135058 (2019)","DOI":"10.18653\/v1\/P19-1498"},{"key":"30_CR5","doi-asserted-by":"crossref","unstructured":"Li, Q., Zhang, Q., Si, L.: Rumor detection by exploiting user credibility information, attention and multi-task learning. In: 57th Conference of the Association for Computational Linguistics, Florence, pp. 1173\u20131179 (2019)","DOI":"10.18653\/v1\/P19-1113"},{"key":"30_CR6","doi-asserted-by":"crossref","unstructured":"Ma, J., Gao, W., Wei, Z., et al.: Detect rumors using time series of social context information on microblogging websites. In: 24th ACM International Conference on Information and Knowledge Management, Melbourne, pp. 1751\u20131754 (2015)","DOI":"10.1145\/2806416.2806607"},{"key":"30_CR7","unstructured":"Ma, J., Gao, W., Mitra, P., et al.: Detecting rumors from microblogs with recurrent neural networks. In: 25th International Joint Conference on Artificial Intelligence, New York, pp. 3818\u20133824 (2016)"},{"key":"30_CR8","doi-asserted-by":"crossref","unstructured":"Ma, J., Gao, W., Wong, K.F.: Detect rumors in microblog posts using propagation structure via kernel learning. In: 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, pp. 708\u2013717 (2017)","DOI":"10.18653\/v1\/P17-1066"},{"key":"30_CR9","doi-asserted-by":"crossref","unstructured":"Ma, J., Gao, W., Wong, K.-F.: Rumor detection on twitter with tree-structured recursive neural networks. In: The Meeting of the Association for Computational Linguistics, Australia, pp. 1980\u20131989 (2018)","DOI":"10.18653\/v1\/P18-1184"},{"key":"30_CR10","doi-asserted-by":"crossref","unstructured":"Ma, J., Gao, W., Wong, K.F.: Detect rumor and stance jointly by neural multi-task learning. In: The Web Conference Companion, Lyon, pp. 585\u2013593 (2018)","DOI":"10.1145\/3184558.3188729"},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"Yu, J., Jiang, J.: Learning sentence embeddings with auxiliary tasks for cross-domain sentiment classification. In: The 2016 Conference on Empirical Methods in Natural Language Processing, Austin, pp. 236\u2013246 (2016)","DOI":"10.18653\/v1\/D16-1023"}],"container-title":["Lecture Notes in Computer Science","Natural Language Processing and Chinese Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-60457-8_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T20:11:13Z","timestamp":1602015073000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-60457-8_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030604561","9783030604578"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-60457-8_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"2 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NLPCC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CCF International Conference on Natural Language Processing and Chinese Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zhengzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nlpcc2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/tcci.ccf.org.cn\/conference\/2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Softconf","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"320","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"100","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"14","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1.5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}