{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:46:39Z","timestamp":1742953599079,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030801182"},{"type":"electronic","value":"9783030801199"}],"license":[{"start":{"date-parts":[[2021,7,13]],"date-time":"2021-07-13T00:00:00Z","timestamp":1626134400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,7,13]],"date-time":"2021-07-13T00:00:00Z","timestamp":1626134400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-80119-9_38","type":"book-chapter","created":{"date-parts":[[2021,7,12]],"date-time":"2021-07-12T19:14:28Z","timestamp":1626117268000},"page":"612-625","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Public Reaction on Social Media During COVID-19: A Comparison Between Twitter and Weibo"],"prefix":"10.1007","author":[{"given":"Tian","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ian","family":"Brooks","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masooda","family":"Bashir","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,7,13]]},"reference":[{"key":"38_CR1","unstructured":"Agrawal, A.J.: It\u2019s Not All Bad: The Social Good of Social Media. Forbes, March 2016. https:\/\/www.forbes.com\/sites\/ajagrawal\/2016\/03\/18\/its-not-all-bad-the-social-good-of-social-media\/#6db6c224756f"},{"issue":"1","key":"38_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4103\/SHB.SHB_11_20","volume":"3","author":"CY Lin","year":"2020","unstructured":"Lin, C.Y.: Social reaction toward the 2019 novel coronavirus (COVID-19). Soc. Health Behav. 3(1), 1 (2020)","journal-title":"Soc. Health Behav."},{"key":"38_CR3","doi-asserted-by":"crossref","unstructured":"Chang, J., Rosenn, I., Backstrom, L., Marlow, C.: epluribus: ethnicity on social networks. In: Fourth International AAAI Conference on Weblogs and Social Media, pp. 18\u201325, May 2010","DOI":"10.1609\/icwsm.v4i1.14029"},{"key":"38_CR4","doi-asserted-by":"crossref","unstructured":"Bessi, A., Coletto, M., Davidescu, G.A., Scala, A., Caldarelli, G., Quattrociocchi, W.: Science vs conspiracy: collective narratives in the age of misinformation. PLoS ONE 10(2), e0118093 (2015)","DOI":"10.1371\/journal.pone.0118093"},{"key":"38_CR5","doi-asserted-by":"crossref","unstructured":"Pennacchiotti, M., Popescu, A.M.: A machine learning approach to twitter user classification. In: Fifth International AAAI Conference on Weblogs and Social Media, vol. 5, no. 1, July 2011","DOI":"10.1609\/icwsm.v5i1.14139"},{"key":"38_CR6","doi-asserted-by":"crossref","unstructured":"Ribeiro, M.H., Calais, P.H., Santos, Y.A., Almeida, V.A., Meira Jr, W.: Characterizing and detecting hateful users on twitter. In: Twelfth International AAAI Conference on Web and Social Media, vol. 12, no. 1, June 2018","DOI":"10.1609\/icwsm.v12i1.15057"},{"key":"38_CR7","doi-asserted-by":"crossref","unstructured":"Badawy, A., Ferrara, E., Lerman, K.: Analyzing the digital traces of political manipulation: the 2016 Russian interference twitter campaign. In: 2018 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 258\u2013265. IEEE, August 2018","DOI":"10.1109\/ASONAM.2018.8508646"},{"key":"38_CR8","unstructured":"Butts, C.T.: Tools for social network analysis. R package version, 2 (2010)"},{"key":"38_CR9","doi-asserted-by":"crossref","unstructured":"Kim, J., Hastak, M.: Social network analysis: the role of social media after a disaster. In: 10th Anniversary Homeland Defense\/Security Education Summit, vol. 38, no. 1, pp. 86\u201396 (2017)","DOI":"10.1016\/j.ijinfomgt.2017.08.003"},{"issue":"1","key":"38_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1111\/disa.12092","volume":"39","author":"JB Houston","year":"2015","unstructured":"Houston, J.B., et al.: Social media and disasters: a functional framework for social media use in disaster planning, response, and research. Disasters 39(1), 1\u201322 (2015)","journal-title":"Disasters"},{"issue":"3","key":"38_CR11","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1109\/MIS.2011.52","volume":"26","author":"H Gao","year":"2011","unstructured":"Gao, H., Barbier, G., Goolsby, R.: Harnessing the crowdsourcing power of social media for disaster relief. IEEE Intell. Syst. 26(3), 10\u201314 (2011)","journal-title":"IEEE Intell. Syst."},{"key":"38_CR12","doi-asserted-by":"crossref","unstructured":"Lyu, H., Chen, L., Wang, Y., Luo, J.: Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19. arXiv preprint arXiv:2004.06307 (2020)","DOI":"10.1109\/TBDATA.2020.2996401"},{"key":"38_CR13","doi-asserted-by":"crossref","unstructured":"Cinelli, M., et al.: The covid-19 social media infodemic. arXiv preprint arXiv:2003.05004 (2020)","DOI":"10.1038\/s41598-020-73510-5"},{"issue":"10","key":"38_CR14","doi-asserted-by":"publisher","first-page":"2000199","DOI":"10.2807\/1560-7917.ES.2020.25.10.2000199","volume":"25","author":"C Li","year":"2020","unstructured":"Li, C., Chen, L.J., Chen, X., Zhang, M., Pang, C.P., Chen, H.: Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020. Eurosurveillance 25(10), 2000199 (2020)","journal-title":"Eurosurveillance"},{"key":"38_CR15","doi-asserted-by":"crossref","unstructured":"Depoux, A., Martin, S., Karafillakis, E., Preet, R., Wilder-Smith, A., Larson, H.: The pandemic of social media panic travels faster than the COVID-19 outbreak. J. Travel Med. 27(3) (2020)","DOI":"10.1093\/jtm\/taaa031"},{"key":"38_CR16","unstructured":"Mej\u00eda, F., Brooks, I., Marti, M., David, N.O., Cosio, G.D.: Fear on the networks: analyzing the 2014 Ebola outbreak. Revista Panamericana de Salud P\u00fablica 41, e134 (2018)"},{"key":"38_CR17","unstructured":"Wojcik, S., Hughes, A.: Sizing Up Twitter Users. Pew Research Center (2019). https:\/\/www.pewresearch.org\/internet\/2019\/04\/24\/sizing-up-twitter-users\/"},{"issue":"2","key":"38_CR18","doi-asserted-by":"publisher","first-page":"556","DOI":"10.1109\/TCSS.2020.2980007","volume":"7","author":"L Li","year":"2020","unstructured":"Li, L., et al.: Characterizing the propagation of situational information in social media during covid-19 epidemic: a case study on weibo. IEEE Trans. Comput. Soc. Syst. 7(2), 556\u2013562 (2020)","journal-title":"IEEE Trans. Comput. Soc. Syst."},{"key":"38_CR19","doi-asserted-by":"crossref","unstructured":"Zhao, Y., Cheng, S., Yu, X., Xu, H.: Chinese public\u2019s attention to the COVID-19 epidemic on social media: observational descriptive study. J. Med. Internet Res. 22(5), e18825 (2020)","DOI":"10.2196\/18825"}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-80119-9_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,3]],"date-time":"2023-01-03T21:23:58Z","timestamp":1672781038000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-80119-9_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,13]]},"ISBN":["9783030801182","9783030801199"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-80119-9_38","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2021,7,13]]},"assertion":[{"value":"13 July 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}