{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:52:49Z","timestamp":1743015169071,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031322983"},{"type":"electronic","value":"9783031322990"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-32299-0_26","type":"book-chapter","created":{"date-parts":[[2023,5,8]],"date-time":"2023-05-08T09:03:00Z","timestamp":1683536580000},"page":"303-314","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Empirical Study on the Impact of Government Microblogs on Online Engagements During the Covid-19 Outbreak"],"prefix":"10.1007","author":[{"given":"Anqi","family":"Nie","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiayi","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Fan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,5,7]]},"reference":[{"issue":"5","key":"26_CR1","first-page":"133","volume":"45","author":"L An","year":"2022","unstructured":"An, L., Wu, Y.: Maturity diagnosis model of public opinion guidance capability of government microblogging in the context of public emergencies. Inf. Stud. Theory Appl. 45(5), 133\u2013141 (2022). in Chinese","journal-title":"Inf. Stud. Theory Appl."},{"issue":"4","key":"26_CR2","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1016\/j.giq.2013.05.021","volume":"30","author":"AT Chatfield","year":"2013","unstructured":"Chatfield, A.T., Scholl, H.J., Brajawidagda, U.: Tsunami early warnings via Twitter in government: net-savvy citizen\u2019s co-production of time-critical public information services. Gov. Inf. Q. 30(4), 377\u2013386 (2013)","journal-title":"Gov. Inf. Q."},{"issue":"5","key":"26_CR3","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1002\/bult.2010.1720360505","volume":"36","author":"L Palen","year":"2010","unstructured":"Palen, L., Starbird, K., Vieweg, S.: Twitter-based information distribution during 2009 Red River Valley flood threat. Bull. Assoc. Inf. Sci. Technol. 36(5), 13\u201317 (2010)","journal-title":"Bull. Assoc. Inf. Sci. Technol."},{"issue":"8","key":"26_CR4","doi-asserted-by":"publisher","first-page":"103547.1","DOI":"10.1016\/j.im.2021.103547","volume":"58","author":"X Feng","year":"2021","unstructured":"Feng, X., Hui, K., Deng, X., Jiang, G.: Understanding how the semantic features of contents influence the diffusion of government microblogs: moderating role of content topics. Inf. Manage. 58(8), 103547.1-103547.15 (2021). in Chinese","journal-title":"Inf. Manage."},{"issue":"06","key":"26_CR5","first-page":"49","volume":"234","author":"J Zhang","year":"2022","unstructured":"Zhang, J., Fang, H., Wang, W.: Research on the status quo and influential factors of the communication effect of China\u2019s government affairs on bilibili. e-government 234(06), 49\u201362 (2022). in Chinese","journal-title":"e-government"},{"issue":"3","key":"26_CR6","doi-asserted-by":"publisher","first-page":"839","DOI":"10.1287\/isre.2019.0834","volume":"30","author":"M Yang","year":"2019","unstructured":"Yang, M., Ren, Y., Adomavicius, G.: Understanding user-generated content and customer engagement on Facebook business pages. Inf. Syst. Res. 30(3), 839\u2013855 (2019)","journal-title":"Inf. Syst. Res."},{"issue":"2","key":"26_CR7","doi-asserted-by":"publisher","DOI":"10.2196\/25108","volume":"23","author":"J Lyu","year":"2021","unstructured":"Lyu, J., Luli, G.: Understanding the public discussion about the centers for disease control and prevention during the COVID-19 pandemic using Twitter data: text mining analysis study. J. Med. Internet Res. 23(2), e25108 (2021)","journal-title":"J. Med. Internet Res."},{"issue":"12","key":"26_CR8","first-page":"28","volume":"35","author":"S Chen","year":"2016","unstructured":"Chen, S., Huang, C., Chen, Q., Yang, L., Xu, X.: Information-releasing strategy of local government microblog group during public emergency \u2014\u2014\u2014A case study of tianjin port explosion. J. Inf. 35(12), 28\u201333 (2016). in Chinese","journal-title":"J. Inf."},{"issue":"6","key":"26_CR9","first-page":"164","volume":"39","author":"Y Zhu","year":"2020","unstructured":"Zhu, Y., Wang, R.: Reasons to E-participation in public health emergency in China: A perspective of civic voluntarism model and social value exchange. J. Inf. 39(6), 164\u2013171 (2020). in Chinese","journal-title":"J. Inf."},{"issue":"1","key":"26_CR10","first-page":"668","volume":"11","author":"RE Petty","year":"1984","unstructured":"Petty, R.E., Cacippo, J.T.: Source factors and the elaboration likelihood model of persuasion. Adv. Consum. Res. 11(1), 668\u2013672 (1984)","journal-title":"Adv. Consum. Res."},{"issue":"1","key":"26_CR11","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1016\/j.chb.2012.09.003","volume":"29","author":"CY Li","year":"2013","unstructured":"Li, C.Y.: Persuasive messages on information system acceptance a theoretical extension of elaboration likelihood-model and social influence theory. Comput. Hum. Behav. 29(1), 264\u2013275 (2013)","journal-title":"Comput. Hum. Behav."},{"key":"26_CR12","first-page":"63","volume":"5","author":"Y Fan","year":"2018","unstructured":"Fan, Y., Guo, Y.: From limited to effective: analysis of the role of factors in reconstructing the influence of political communication. Acad. Res. 5, 63\u201367 (2018). in Chinese","journal-title":"Acad. Res."},{"key":"26_CR13","first-page":"169","volume":"04","author":"A Zhang","year":"2020","unstructured":"Zhang, A.: Characteristics of information dissemination and governance strategies for major public health emergencies. Exploration 04, 169\u2013181 (2020). in Chinese","journal-title":"Exploration"},{"issue":"3","key":"26_CR14","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1080\/10410236.2020.1847447","volume":"36","author":"L Tang","year":"2021","unstructured":"Tang, L., Zou, W.: Health Information consumption under COVID-19 lockdown: An interview study of residents of Hubei Province, China. Health Commun. 36(3), 74\u201380 (2021)","journal-title":"Health Commun."},{"issue":"3","key":"26_CR15","first-page":"59","volume":"44","author":"K Yang","year":"2021","unstructured":"Yang, K., Yang, C., Zhu, Q.: Research on public information demand and crisis management of public health emergency based on social media. Inf. Stud. Theory Appl. 44(3), 59\u201368 (2021). in Chinese","journal-title":"Inf. Stud. Theory Appl."},{"issue":"1","key":"26_CR16","doi-asserted-by":"publisher","first-page":"13","DOI":"10.17705\/1thci.00005","volume":"1","author":"J Preece","year":"2009","unstructured":"Preece, J., Shneiderman, B.: The reader-to-leader framework: motivating technology-mediated social participation. AIS Trans. Hum. Comput. Int. 1(1), 13\u201332 (2009)","journal-title":"AIS Trans. Hum. Comput. Int."},{"issue":"3","key":"26_CR17","first-page":"6","volume":"33","author":"A Zhao","year":"2014","unstructured":"Zhao, A., Cao, G.: Positive study on evaluation and comparison of government affairs micro-blog influence: Based on factor analysis and cluster analysis. J. Inf. 33(3), 6 (2014). in Chinese","journal-title":"J. Inf."},{"issue":"6","key":"26_CR18","first-page":"10","volume":"10","author":"S Cao","year":"2020","unstructured":"Cao, S., Yue, W.: Topic mining and evolution analysis of public opinion on microblog of public health emergencies. J. Inf. Resour. Manage. 10(6), 10 (2020). in Chinese","journal-title":"J. Inf. Resour. Manage."},{"key":"26_CR19","unstructured":"Chiru, C., Rebedea, T., Ciotec, S.: Comparison between LSA-LDA-lexical chains. WEBIST (2014)"},{"issue":"3","key":"26_CR20","first-page":"1","volume":"17","author":"RJ Brodie","year":"2011","unstructured":"Brodie, R.J., Hollebeek, L.D., Juric, B., Ilic, A.: Customer engagement: conceptual domain, fundamental propositions, and implications for research. J. Serv. Res. 17(3), 1\u201320 (2011)","journal-title":"J. Serv. Res."}],"container-title":["Lecture Notes in Business Information Processing","E-Business. Digital Empowerment for an Intelligent Future"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-32299-0_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T11:35:01Z","timestamp":1710329701000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-32299-0_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031322983","9783031322990"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-32299-0_26","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"type":"print","value":"1865-1348"},{"type":"electronic","value":"1865-1356"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"7 May 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WHICEB","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuhan International Conference on E-business","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuhan","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 May 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 May 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"whiceb2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/whiceb.cug.edu.cn\/en\/","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"350","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":"61","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":"0","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":"17% - 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":"4","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}