{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T11:12:03Z","timestamp":1742987523724,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":13,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819756179"},{"type":"electronic","value":"9789819756186"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-5618-6_16","type":"book-chapter","created":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T16:04:18Z","timestamp":1722528258000},"page":"187-198","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Rumor Detection with News Environment Enhanced Propagation Structure"],"prefix":"10.1007","author":[{"given":"Yang","family":"Wu","sequence":"first","affiliation":[]},{"given":"Yanqiang","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Zhen","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Qian","family":"Tan","sequence":"additional","affiliation":[]},{"given":"Yan","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Pengwei","family":"Zhan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,1]]},"reference":[{"key":"16_CR1","doi-asserted-by":"crossref","unstructured":"Vosoughi, S., Roy, D., Aral, S.: The spread of true and false news online. Science 359(6380), 1146\u20131151 (2018)","DOI":"10.1126\/science.aap9559"},{"issue":"3","key":"16_CR2","doi-asserted-by":"publisher","first-page":"554","DOI":"10.1073\/pnas.1517441113","volume":"113","author":"M Del Vicario","year":"2016","unstructured":"Del Vicario, M., et al.: The spreading of misinformation online. Proc. Natl. Acad. Sci. 113(3), 554\u2013559 (2016)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"16_CR3","doi-asserted-by":"crossref","unstructured":"Bian, T., Xiao, X., Xu, T., Zhao, P., Huang, W., Rong, Y., Huang, J.: Rumor detection on social media with bi-directional graph convolutional networks. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, pp. 549\u2013556 (2020)","DOI":"10.1609\/aaai.v34i01.5393"},{"key":"16_CR4","doi-asserted-by":"crossref","unstructured":"Ma, J., Gao, W., Wong, K.F.: Rumor detection on twitter with tree-structured recursive neural networks. Association for Computational Linguistics (2018)","DOI":"10.18653\/v1\/P18-1184"},{"key":"16_CR5","doi-asserted-by":"crossref","unstructured":"Wei, P., Xu, N., Mao, W.: Modeling conversation structure and temporal dynamics for jointly predicting rumor stance and veracity. arXiv preprint arXiv:1909.08211 (2019)","DOI":"10.18653\/v1\/D19-1485"},{"key":"16_CR6","doi-asserted-by":"crossref","unstructured":"Wu, Y., Yang, J., Wang, L., Xu, Z.: Graph-aware multi-view fusion for rumor detection on social media. In: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 9961\u20139965 (2024)","DOI":"10.1109\/ICASSP48485.2024.10446777"},{"key":"16_CR7","doi-asserted-by":"crossref","unstructured":"Wei, L., Hu, D., Zhou, W., Yue, Z., Hu, S.: Towards propagation uncertainty: edge-enhanced Bayesian graph convolutional networks for rumor detection. arXiv preprint arXiv:2107.11934 (2021)","DOI":"10.18653\/v1\/2021.acl-long.297"},{"key":"16_CR8","doi-asserted-by":"crossref","unstructured":"Sheng, Q., Cao, J., Zhang, X., Li, R., Wang, D., Zhu, Y.: Zoom out and observe: news environment perception for fake news detection. arXiv preprint arXiv:2203.10885 (2022)","DOI":"10.18653\/v1\/2022.acl-long.311"},{"key":"16_CR9","doi-asserted-by":"crossref","unstructured":"Ma, J., Gao, W., Wong, K.F.: Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning. Association for Computational Linguistics (2017)","DOI":"10.18653\/v1\/P17-1066"},{"key":"16_CR10","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)"},{"key":"16_CR11","unstructured":"Ma, J., et al.: Detecting rumors from microblogs with recurrent neural networks (2016)"},{"key":"16_CR12","doi-asserted-by":"crossref","unstructured":"Zubiaga, A., Liakata, M., Procter, R.: Learning reporting dynamics during breaking news for rumour detection in social media. arXiv preprint arXiv:1610.07363 (2016)","DOI":"10.1007\/978-3-319-67217-5_8"},{"key":"16_CR13","doi-asserted-by":"crossref","unstructured":"Liu, Y., Wu, Y.F.: Early detection of fake news on social media through propagation path classification with recurrent and convolutional networks. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 32 (2018)","DOI":"10.1609\/aaai.v32i1.11268"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-5618-6_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T16:13:47Z","timestamp":1722528827000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-5618-6_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819756179","9789819756186"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-5618-6_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2024\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}