{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,3]],"date-time":"2025-10-03T09:22:50Z","timestamp":1759483370207,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030217402"},{"type":"electronic","value":"9783030217419"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-21741-9_19","type":"book-chapter","created":{"date-parts":[[2019,6,17]],"date-time":"2019-06-17T23:09:30Z","timestamp":1560812970000},"page":"184-193","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Does Causal Coherence Predict Online Spread of Social Media?"],"prefix":"10.1007","author":[{"given":"Pedram","family":"Hosseini","sequence":"first","affiliation":[]},{"given":"Mona","family":"Diab","sequence":"additional","affiliation":[]},{"given":"David A.","family":"Broniatowski","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,6,5]]},"reference":[{"issue":"3","key":"19_CR1","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1207\/s15326950dp4203_2","volume":"42","author":"B Arf\u00e9","year":"2006","unstructured":"Arf\u00e9, B., Boscolo, P.: Causal coherence in deaf and hearing students\u2019 written narratives. Discourse Process. 42(3), 271\u2013300 (2006)","journal-title":"Discourse Process."},{"issue":"3","key":"19_CR2","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1016\/S0022-5371(81)90417-5","volume":"20","author":"JB Black","year":"1981","unstructured":"Black, J.B., Bern, H.: Causal coherence and memory for events in narratives. J. Verbal Learn. Verbal Behav. 20(3), 267\u2013275 (1981)","journal-title":"J. Verbal Learn. Verbal Behav."},{"key":"19_CR3","unstructured":"Broniatowski, D.A., Reyna, V.F.: Combating Misinformation and Disinformation Online: The \u201cBattle of the Narrative\u201d. White Paper, Submitted to the Committee on a Decadal Survey of Social and Behavioral Sciences and Applications to National Security, National Academies of Sciences, Engineering, and Medicine, Washington, DC, February 2017"},{"issue":"1","key":"19_CR4","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/s10802-005-9003-x","volume":"34","author":"JJ Diehl","year":"2006","unstructured":"Diehl, J.J., Bennetto, L., Young, E.C.: Story recall and narrative coherence of high-functioning children with autism spectrum disorders. J. Abnorm. Child Psychol. 34(1), 83\u201398 (2006)","journal-title":"J. Abnorm. Child Psychol."},{"issue":"4","key":"19_CR5","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1016\/j.amepre.2015.10.002","volume":"50","author":"M Dredze","year":"2016","unstructured":"Dredze, M., Broniatowski, D.A., Smith, M.C., Hilyard, K.M.: Understanding vaccine refusal: why we need social media now. Am. J. Prev. Med. 50(4), 550\u2013552 (2016)","journal-title":"Am. J. Prev. Med."},{"issue":"2\u20133","key":"19_CR6","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1080\/01638539809545029","volume":"25","author":"PW Foltz","year":"1998","unstructured":"Foltz, P.W., Kintsch, W., Landauer, T.K.: The measurement of textual coherence with latent semantic analysis. Discourse Process. 25(2\u20133), 285\u2013307 (1998)","journal-title":"Discourse Process."},{"key":"19_CR7","unstructured":"Graesser, A.C., McNamara, D.S., Louwerse, M.M.: What do readers need to learn in order to process coherence relations in narrative and expository text. In: Rethinking Reading Comprehension, pp. 82\u201398 (2003)"},{"issue":"6425","key":"19_CR8","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1126\/science.aau2706","volume":"363","author":"N Grinberg","year":"2019","unstructured":"Grinberg, N., Joseph, K., Friedland, L., Swire-Thompson, B., Lazer, D.: Fake news on Twitter during the 2016 US presidential election. Science 363(6425), 374\u2013378 (2019)","journal-title":"Science"},{"issue":"6","key":"19_CR9","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1080\/09658211.2010.493890","volume":"18","author":"A Grysman","year":"2010","unstructured":"Grysman, A., Hudson, J.A.: Abstracting and extracting: causal coherence and the development of the life story. Memory 18(6), 565\u2013580 (2010)","journal-title":"Memory"},{"issue":"5","key":"19_CR10","doi-asserted-by":"publisher","first-page":"1230","DOI":"10.1162\/jocn.2010.21452","volume":"23","author":"GR Kuperberg","year":"2011","unstructured":"Kuperberg, G.R., Paczynski, M., Ditman, T.: Establishing causal coherence across sentences: an ERP study. J. Cogn. Neurosci. 23(5), 1230\u20131246 (2011)","journal-title":"J. Cogn. Neurosci."},{"issue":"4","key":"19_CR11","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1080\/01638530902959943","volume":"47","author":"DS McNamara","year":"2010","unstructured":"McNamara, D.S., Louwerse, M.M., McCarthy, P.M., Graesser, A.C.: Coh-metrix: capturing linguistic features of cohesion. Discourse Process. 47(4), 292\u2013330 (2010)","journal-title":"Discourse Process."},{"key":"19_CR12","unstructured":"Mimno, D., Wallach, H.M., Talley, E., Leenders, M., McCallum, A.: Optimizing semantic coherence in topic models. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 262\u2013272. Association for Computational Linguistics (2011)"},{"issue":"6","key":"19_CR13","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1080\/0163853X.2012.692655","volume":"49","author":"G Mulder","year":"2012","unstructured":"Mulder, G., Sanders, T.J.: Causal coherence relations and levels of discourse representation. Discourse Process. 49(6), 501\u2013522 (2012)","journal-title":"Discourse Process."},{"key":"19_CR14","unstructured":"Pennebaker, J.W., Boyd, R.L., Jordan, K., Blackburn, K.: The development and psychometric properties of LIWC2015. Technical report (2015)"},{"key":"19_CR15","doi-asserted-by":"crossref","unstructured":"Pennycook, G., Cannon, T.D., Rand, D.G.: Prior exposure increases perceived accuracy of fake news. J. Exp. Psychol.: Gen. (2018)","DOI":"10.2139\/ssrn.2958246"},{"key":"19_CR16","doi-asserted-by":"crossref","unstructured":"Pennycook, G., Rand, D.G.: Lazy, not biased: susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning. Cognition (2018)","DOI":"10.2139\/ssrn.3165567"},{"key":"19_CR17","doi-asserted-by":"crossref","unstructured":"Reyna, V.F.: A new intuitionism: meaning, memory, and development in fuzzy-trace theory. Judgm. Decis. Making (2012)","DOI":"10.1017\/S1930297500002291"},{"issue":"25","key":"19_CR18","doi-asserted-by":"publisher","first-page":"3790","DOI":"10.1016\/j.vaccine.2011.11.070","volume":"30","author":"VF Reyna","year":"2012","unstructured":"Reyna, V.F.: Risk perception and communication in vaccination decisions: a fuzzy-trace theory approach. Vaccine 30(25), 3790\u20133797 (2012)","journal-title":"Vaccine"},{"issue":"1","key":"19_CR19","doi-asserted-by":"publisher","first-page":"4787","DOI":"10.1038\/s41467-018-06930-7","volume":"9","author":"C Shao","year":"2018","unstructured":"Shao, C., Ciampaglia, G.L., Varol, O., Yang, K.C., Flammini, A., Menczer, F.: The spread of low-credibility content by social bots. Nat. Commun. 9(1), 4787 (2018)","journal-title":"Nat. Commun."},{"key":"19_CR20","series-title":"Lecture Notes in Social Networks","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/978-3-319-94105-9_3","volume-title":"Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining","author":"K Shu","year":"2019","unstructured":"Shu, K., Bernard, H.R., Liu, H.: Studying fake news via network analysis: detection and mitigation. In: Agarwal, N., Dokoohaki, N., Tokdemir, S. (eds.) Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. LNSN, pp. 43\u201365. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-319-94105-9_3"},{"key":"19_CR21","unstructured":"Shu, K., Wang, S., Liu, H.: Exploiting tri-relationship for fake news detection. arXiv preprint arXiv:1712.07709 (2017)"},{"issue":"5","key":"19_CR22","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1016\/0749-596X(85)90048-8","volume":"24","author":"T Trabasso","year":"1985","unstructured":"Trabasso, T., Sperry, L.L.: Causal relatedness and importance of story events. J. Mem. Lang. 24(5), 595\u2013611 (1985)","journal-title":"J. Mem. Lang."},{"key":"19_CR23","unstructured":"Trabasso, T., et al.: Causal cohesion and story coherence (1982)"},{"key":"19_CR24","doi-asserted-by":"crossref","unstructured":"Tsur, O., Rappoport, A.: What\u2019s in a hashtag?: content based prediction of the spread of ideas in microblogging communities. In: Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, pp. 643\u2013652. ACM (2012)","DOI":"10.1145\/2124295.2124320"},{"issue":"6380","key":"19_CR25","doi-asserted-by":"publisher","first-page":"1146","DOI":"10.1126\/science.aap9559","volume":"359","author":"S Vosoughi","year":"2018","unstructured":"Vosoughi, S., Roy, D., Aral, S.: The spread of true and false news online. Science 359(6380), 1146\u20131151 (2018)","journal-title":"Science"},{"issue":"3","key":"19_CR26","doi-asserted-by":"publisher","first-page":"222","DOI":"10.18608\/jla.2018.53.14","volume":"5","author":"CR Wolfe","year":"2018","unstructured":"Wolfe, C.R., Widmer, C.L., Torrese, C.V., Dandignac, M.: A method for automatically analyzing intelligent tutoring system dialogues with coh-metrix. J. Learn. Anal. 5(3), 222\u2013234 (2018)","journal-title":"J. Learn. Anal."}],"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\/978-3-030-21741-9_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T17:37:10Z","timestamp":1709833030000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-21741-9_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030217402","9783030217419"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-21741-9_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"5 June 2019","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":"Washington, WA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sbp2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/sbp-brims.org\/2019\/","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":"72","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":"28","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":"39% - 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":"3","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)"}}]}}