{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T05:48:40Z","timestamp":1778219320870,"version":"3.51.4"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030803865","type":"print"},{"value":"9783030803872","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-80387-2_5","type":"book-chapter","created":{"date-parts":[[2021,7,3]],"date-time":"2021-07-03T06:05:06Z","timestamp":1625292306000},"page":"46-56","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Mining Online Social Media to Drive Psychologically Valid Agent Models of Regional Covid-19 Mask Wearing"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9018-4880","authenticated-orcid":false,"given":"Peter","family":"Pirolli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6356-0238","authenticated-orcid":false,"given":"Kathleen M.","family":"Carley","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3626-7829","authenticated-orcid":false,"given":"Adam","family":"Dalton","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4356-5813","authenticated-orcid":false,"given":"Bonnie J.","family":"Dorr","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4865-3062","authenticated-orcid":false,"given":"Christian","family":"Lebiere","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4080-1641","authenticated-orcid":false,"given":"Michael K.","family":"Martin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5074-0259","authenticated-orcid":false,"given":"Brodie","family":"Mather","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0076-2334","authenticated-orcid":false,"given":"Konstantinos","family":"Mitsopoulos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2684-4722","authenticated-orcid":false,"given":"Mark","family":"Orr","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4206-3985","authenticated-orcid":false,"given":"Tomek","family":"Strzalkowski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,7,4]]},"reference":[{"issue":"4","key":"5_CR1","doi-asserted-by":"publisher","first-page":"1036","DOI":"10.1037\/0033-295X.111.4.1036","volume":"111","author":"JR Anderson","year":"2004","unstructured":"Anderson, J.R., Bothell, D., Byrne, M.D., Douglass, S., Lebiere, C., Qin, Y.: An integrated theory of the mind. Psychol. Rev. 111(4), 1036\u20131060 (2004)","journal-title":"Psychol. Rev."},{"key":"5_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-1-4614-7163-9_309-1","volume-title":"Encyclopedia of Social Network Analysis and Mining","author":"KM Carley","year":"2017","unstructured":"Carley, K.M.: ORA: a toolkit for dynamic network analysis and visualization. In: Alhajj, R., Rokne, J. (eds.) Encyclopedia of Social Network Analysis and Mining, pp. 1\u201310. Springer , New York (2017). https:\/\/doi.org\/10.1007\/978-1-4614-7163-9_309-1"},{"key":"5_CR3","volume-title":"Apollo\u2019s Arrow","author":"NA Christakis","year":"2020","unstructured":"Christakis, N.A.: Apollo\u2019s Arrow. Hachette Book Group, New York (2020)"},{"key":"5_CR4","doi-asserted-by":"crossref","unstructured":"Gardner, M., et al.: AllenNLP: a deep semantic natural language processing platform. arXiv:1803.07640 (2017)","DOI":"10.18653\/v1\/W18-2501"},{"issue":"11","key":"5_CR5","doi-asserted-by":"publisher","first-page":"1186","DOI":"10.1038\/s41562-020-00977-7","volume":"4","author":"A Gollwitzer","year":"2020","unstructured":"Gollwitzer, A., et al.: Partisan differences in physical distancing are linked to health outcomes during the COVID-19 pandemic. Nat. Hum. Behav. 4(11), 1186\u20131197 (2020)","journal-title":"Nat. Hum. Behav."},{"key":"5_CR6","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1207\/s15516709cog2704_2","volume":"27","author":"C Gonzalez","year":"2003","unstructured":"Gonzalez, C., Lerch, J.F., Lebiere, C.: Instance-based learning in dynamic decision making. Cogn. Sci. 27, 591\u2013635 (2003)","journal-title":"Cogn. Sci."},{"key":"5_CR7","doi-asserted-by":"publisher","unstructured":"Harvey, A.G., Armstrong, C.C., Callaway, C.A., Gumport, N.B., Gasperetti, C.E.: COVID-19 prevention via the science of habit formation. Curr. Dir. Psychol. Sci (2021). https:\/\/doi.org\/10.1177\/0963721421992028","DOI":"10.1177\/0963721421992028"},{"key":"5_CR8","doi-asserted-by":"crossref","unstructured":"Kumar, S., Carley, K.M.: Tree LSTMs with convolution units to predict stance and rumor veracity in social media conversations. In: Proceedings of the 57th Conference of the Association for Computational Linguistics, pp. 5047\u20135058 (2019)","DOI":"10.18653\/v1\/P19-1498"},{"key":"5_CR9","doi-asserted-by":"crossref","unstructured":"Lazer, D., et al.: The COVID states project #26: trajectory of COVID-19-related behaviors (2021)","DOI":"10.31219\/osf.io\/37jbe"},{"key":"5_CR10","doi-asserted-by":"crossref","unstructured":"Mather, B., Dorr, B., Rambow, O., Strzalkowski, T.: A general framework for domain-specialization of stance detection. In: The International FLAIRS Conference Proceedings (2021)","DOI":"10.32473\/flairs.v34i1.128457"},{"key":"5_CR11","unstructured":"Pirolli, P., Bhatia, A., Mitsopoulos, K., Lebiere, C., Orr, M.: Cognitive modeling for computational epidemiology. In: 2020 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SPB-BRIMS 2020). Springer, Washington, DC (2020)"},{"key":"5_CR12","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/3225.001.0001","volume-title":"The Generative Lexicon","author":"J Pustejovsky","year":"1995","unstructured":"Pustejovsky, J.: The Generative Lexicon. The MIT Press, Cambridge (1995)"},{"key":"5_CR13","unstructured":"Rabindra, L.: Coronavirus (COVID-19) geo-tagged tweets dataset"},{"key":"5_CR14","unstructured":"Reitter, D., Lebiere, C.: Accountable modeling in ACT-UP, a sclable, rapid-prototyping ACT-R implementation. In: Salvucci, D.D., Gunzelmann, G. (eds.) Proceedings of the 10th International Conference on Cognitive Modeling, Drexel, Philadelphia, PA, pp. 199\u2013204 (2010)"},{"issue":"51","key":"5_CR15","doi-asserted-by":"publisher","first-page":"32764","DOI":"10.1073\/pnas.2009911117","volume":"117","author":"JS Weitz","year":"2020","unstructured":"Weitz, J.S., Park, S.W., Eksin, C., Dushoff, J.: Awareness-driven behavior changes can shift the shape of epidemics away from peaks and toward plateaus, shoulders, and oscillations. Proc. Natl. Acad. Sci. 117(51), 32764 (2020)","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"5","key":"5_CR16","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1038\/s41562-020-0887-9","volume":"4","author":"R West","year":"2020","unstructured":"West, R., Michie, S., Rubin, G.J., Aml\u00f4t, R.: Applying principles of behaviour change to reduce SARS-CoV-2 transmission. Nat. Hum. Behav. 4(5), 451\u2013459 (2020)","journal-title":"Nat. Hum. Behav."},{"key":"5_CR17","doi-asserted-by":"crossref","unstructured":"Yarowsky, D.: Unsupervised word sense disambiguation rivaling supervised methods. In: Proceedings of the ACL, Cambridge, MA, pp. 189\u2013196 (1995)","DOI":"10.3115\/981658.981684"}],"container-title":["Lecture Notes in Computer Science","Social, Cultural, and Behavioral Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-80387-2_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,3]],"date-time":"2024-09-03T07:32:33Z","timestamp":1725348753000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-80387-2_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030803865","9783030803872"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-80387-2_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"4 July 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SBP-BRiMS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 July 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 July 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sbp2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/sbp-brims.org\/2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"56","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":"32","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":"57% - 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":"2","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)"}}]}}