{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:46:08Z","timestamp":1742953568078,"version":"3.40.3"},"publisher-location":"Cham","reference-count":46,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030578541"},{"type":"electronic","value":"9783030578558"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-030-57855-8_12","type":"book-chapter","created":{"date-parts":[[2020,9,10]],"date-time":"2020-09-10T16:17:52Z","timestamp":1599754672000},"page":"161-176","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Vocabulary-Based Method for Quantifying Controversy in Social Media"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0291-1997","authenticated-orcid":false,"given":"Juan Manuel","family":"Ortiz de Zarate","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2985-810X","authenticated-orcid":false,"given":"Esteban","family":"Feuerstein","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,10]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Akoglu, L.: Quantifying political polarity based on bipartite opinion networks. In: Eighth International AAAI Conference on Weblogs and Social Media (2014)","DOI":"10.1609\/icwsm.v8i1.14524"},{"key":"12_CR2","unstructured":"Allport, G.W., Clark, K., Pettigrew, T.: The nature of prejudice (1954)"},{"key":"12_CR3","doi-asserted-by":"crossref","unstructured":"Amelkin, V., Bogdanov, P., Singh, A.K.: A distance measure for the analysis of polar opinion dynamics in social networks. In: 2017 IEEE 33rd International Conference on Data Engineering (ICDE), pp. 159\u2013162. IEEE (2017)","DOI":"10.1109\/ICDE.2017.64"},{"key":"12_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1007\/978-3-319-13734-6_18","volume-title":"Social Informatics","author":"A Bessi","year":"2014","unstructured":"Bessi, A., Caldarelli, G., Del Vicario, M., Scala, A., Quattrociocchi, W.: Social determinants of content selection in the age of (Mis)Information. In: Aiello, L.M., McFarland, D. (eds.) SocInfo 2014. LNCS, vol. 8851, pp. 259\u2013268. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-13734-6_18"},{"issue":"1","key":"12_CR5","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1145\/2700060","volume":"15","author":"DR Bild","year":"2015","unstructured":"Bild, D.R., Liu, Y., Dick, R.P., Mao, Z.M., Wallach, D.S.: Aggregate characterization of user behavior in twitter and analysis of the retweet graph. ACM Trans. Internet Technol. (TOIT) 15(1), 4 (2015)","journal-title":"ACM Trans. Internet Technol. (TOIT)"},{"issue":"10","key":"12_CR6","doi-asserted-by":"publisher","first-page":"P10008","DOI":"10.1088\/1742-5468\/2008\/10\/P10008","volume":"2008","author":"VD Blondel","year":"2008","unstructured":"Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech: Theory Exp. 2008(10), P10008 (2008)","journal-title":"J. Stat. Mech: Theory Exp."},{"key":"12_CR7","unstructured":"Calvo, E.: Anatom\u00eda pol\u00edtica de twitter en argentina. Tuiteando# Nisman. Buenos Aires: Capital Intelectual (2015)"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"Chitra, U., Musco, C.: Analyzing the impact of filter bubbles on social network polarization. In: Proceedings of the 13th International Conference on Web Search and Data Mining, pp. 115\u2013123 (2020)","DOI":"10.1145\/3336191.3371825"},{"key":"12_CR9","unstructured":"Conover, M.D., Ratkiewicz, J., Francisco, M., Gon\u00e7alves, B., Menczer, F., Flammini, A.: Political polarization on twitter. In: Fifth International AAAI Conference on Weblogs and Social Media (2011)"},{"issue":"15","key":"12_CR10","doi-asserted-by":"publisher","first-page":"5791","DOI":"10.1073\/pnas.1217220110","volume":"110","author":"P Dandekar","year":"2013","unstructured":"Dandekar, P., Goel, A., Lee, D.T.: Biased assimilation, homophily, and the dynamics of polarization. Proc. Natl. Acad. Sci. 110(15), 5791\u20135796 (2013)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Darwish, K.: Quantifying polarization on twitter: the kavanaugh nomination. In: International Conference on Social Informatics, pp. 188\u2013201. Springer (2019)","DOI":"10.1007\/978-3-030-34971-4_13"},{"key":"12_CR12","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805"},{"key":"12_CR13","unstructured":"Doshi-Velez, F., Kim, B.: Towards a rigorous science of interpretable machine learning. arXiv preprint arXiv:1702.08608 (2017)"},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Easley, D., Kleinberg, J., et al.: Networks, Crowds and Markets, vol. 8. Cambridge University Press, Cambridge (2010)","DOI":"10.1017\/CBO9780511761942"},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Feng, W., Wang, J.: Retweet or not?: personalized tweet re-ranking. In: Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, pp. 577\u2013586. ACM (2013)","DOI":"10.1145\/2433396.2433470"},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"Garimella, K., De Francisci Morales, G., Gionis, A., Mathioudakis, M.: Reducing controversy by connecting opposing views. In: Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, pp. 81\u201390. ACM (2017)","DOI":"10.1145\/3018661.3018703"},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Garimella, K., Mathioudakis, M., Morales, G.D.F., Gionis, A.: Exploring controversy in twitter. In: Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion, pp. 33\u201336. ACM (2016)","DOI":"10.1145\/2818052.2874318"},{"issue":"1","key":"12_CR18","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1145\/3140565","volume":"1","author":"K Garimella","year":"2018","unstructured":"Garimella, K., Morales, G.D.F., Gionis, A., Mathioudakis, M.: Quantifying controversy on social media. ACM Trans. Soc. Comput. 1(1), 3 (2018)","journal-title":"ACM Trans. Soc. Comput."},{"key":"12_CR19","unstructured":"Guerra, P.C., Meira Jr, W., Cardie, C., Kleinberg, R.: A measure of polarization on social media networks based on community boundaries. In: Seventh International AAAI Conference on Weblogs and Social Media (2013)"},{"issue":"1","key":"12_CR20","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.infoecopol.2012.01.004","volume":"24","author":"S Hong","year":"2012","unstructured":"Hong, S.: Online news on twitter: newspapers\u2019 social media adoption and their online readership. Inf. Econ. Policy 24(1), 69\u201374 (2012)","journal-title":"Inf. Econ. Policy"},{"issue":"6","key":"12_CR21","doi-asserted-by":"publisher","first-page":"e98679","DOI":"10.1371\/journal.pone.0098679","volume":"9","author":"M Jacomy","year":"2014","unstructured":"Jacomy, M., Venturini, T., Heymann, S., Bastian, M.: Forceatlas2, a continuous graph layout algorithm for handy network visualization designed for the gephi software. PLoS ONE 9(6), e98679 (2014)","journal-title":"PLoS ONE"},{"key":"12_CR22","unstructured":"Jang, M.: Probabilistic Models for Identifying and Explaining Controversy (2019)"},{"key":"12_CR23","doi-asserted-by":"crossref","unstructured":"Joulin, A., Grave, E., Bojanowski, P., Mikolov, T.: Bag of tricks for efficient text classification. arXiv preprint arXiv:1607.01759 (2016)","DOI":"10.18653\/v1\/E17-2068"},{"key":"12_CR24","unstructured":"Kulshrestha, J., Zafar, M.B., Noboa, L.E., Gummadi, K.P., Ghosh, S.: Characterizing information diets of social media users. In: Ninth International AAAI Conference on Web and Social Media (2015)"},{"key":"12_CR25","doi-asserted-by":"crossref","unstructured":"Kumar, S., Hamilton, W.L., Leskovec, J., Jurafsky, D.: Community interaction and conflict on the web. In: Proceedings of the 2018 World Wide Web Conference on World Wide Web, pp. 933\u2013943. International World Wide Web Conferences Steering Committee (2018)","DOI":"10.1145\/3178876.3186141"},{"key":"12_CR26","doi-asserted-by":"crossref","unstructured":"Kupavskii, A., et al.: Prediction of retweet cascade size over time. In: Proceedings of the 21st ACM International Conference on Information and Knowledge Management, pp. 2335\u20132338. ACM (2012)","DOI":"10.1145\/2396761.2398634"},{"key":"12_CR27","doi-asserted-by":"crossref","unstructured":"Lahoti, P., Garimella, K., Gionis, A.: Joint non-negative matrix factorization for learning ideological leaning on twitter. In: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, pp. 351\u2013359. ACM (2018)","DOI":"10.1145\/3159652.3159669"},{"key":"12_CR28","doi-asserted-by":"crossref","unstructured":"Macmillan, N.A., Creelman, C.D.: Detection Theory: A User\u2019s Guide. Psychology press (2004)","DOI":"10.4324\/9781410611147"},{"issue":"5","key":"12_CR29","doi-asserted-by":"publisher","first-page":"1480","DOI":"10.1007\/s10618-017-0527-9","volume":"31","author":"A Matakos","year":"2017","unstructured":"Matakos, A., Terzi, E., Tsaparas, P.: Measuring and moderating opinion polarization in social networks. Data Min. Knowl. Discovery 31(5), 1480\u20131505 (2017). https:\/\/doi.org\/10.1007\/s10618-017-0527-9","journal-title":"Data Min. Knowl. Discovery"},{"issue":"3","key":"12_CR30","doi-asserted-by":"publisher","first-page":"033114","DOI":"10.1063\/1.4913758","volume":"25","author":"A Morales","year":"2015","unstructured":"Morales, A., Borondo, J., Losada, J.C., Benito, R.M.: Measuring political polarization: twitter shows the two sides of venezuela. Chaos Interdiscipl. J. Nonlinear Sci. 25(3), 033114 (2015)","journal-title":"Chaos Interdiscipl. J. Nonlinear Sci."},{"key":"12_CR31","unstructured":"Munson, S.A., Lee, S.Y., Resnick, P.: Encouraging reading of diverse political viewpoints with a browser widget. In: Seventh International AAAI Conference on Weblogs and Social Media (2013)"},{"issue":"12","key":"12_CR32","doi-asserted-by":"publisher","first-page":"e0144296","DOI":"10.1371\/journal.pone.0144296","volume":"10","author":"PK Novak","year":"2015","unstructured":"Novak, P.K., Smailovi\u0107, J., Sluban, B., Mozeti\u010d, I.: Sentiment of emojis. PLoS ONE 10(12), e0144296 (2015)","journal-title":"PLoS ONE"},{"key":"12_CR33","doi-asserted-by":"crossref","unstructured":"Pettigrew, T.F., Tropp, L.R.: Does intergroup contact reduce prejudice? recent meta-analytic findings. In: Reducing Prejudice and Discrimination, pp. 103\u2013124. Psychology Press (2013)","DOI":"10.4324\/9781410605634-11"},{"key":"12_CR34","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1007\/11569596_31","volume-title":"Computer and Information Sciences - ISCIS 2005","author":"P Pons","year":"2005","unstructured":"Pons, P., Latapy, M.: Computing communities in large networks using random walks. In: Yolum, I., G\u00fcng\u00f6r, T., G\u00fcrgen, F., \u00d6zturan, C. (eds.) ISCIS 2005. LNCS, vol. 3733, pp. 284\u2013293. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11569596_31"},{"key":"12_CR35","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1007\/978-3-319-05579-4_19","volume-title":"Social Computing, Behavioral-Cultural Modeling and Prediction","author":"A Rajadesingan","year":"2014","unstructured":"Rajadesingan, A., Liu, H.: Identifying users with opposing opinions in twitter debates. In: Kennedy, W.G., Agarwal, N., Yang, S.J. (eds.) SBP 2014. LNCS, vol. 8393, pp. 153\u2013160. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-05579-4_19"},{"key":"12_CR36","doi-asserted-by":"crossref","unstructured":"Ramponi, G., Brambilla, M., Ceri, S., Daniel, F., Di Giovanni, M.: Vocabulary-based community detection and characterization (2019)","DOI":"10.1145\/3297280.3297384"},{"key":"12_CR37","unstructured":"Shearer, E., Gottfried, J.: News use across social media platforms 2017. Pew Res. Center 7 (2017)"},{"key":"12_CR38","unstructured":"Stewart, L.G., Arif, A., Starbird, K.: Examining trolls and polarization with a retweet network. In: Proceedings ACM WSDM, Workshop on Misinformation and Misbehavior Mining on the Web (2018)"},{"key":"12_CR39","doi-asserted-by":"crossref","unstructured":"Tran, T., Ostendorf, M.: Characterizing the language of online communities and its relation to community reception. arXiv preprint arXiv:1609.04779 (2016)","DOI":"10.18653\/v1\/D16-1108"},{"issue":"3","key":"12_CR40","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1177\/0894439314537886","volume":"33","author":"D Trilling","year":"2015","unstructured":"Trilling, D.: Two different debates? investigating the relationship between a political debate on tv and simultaneous comments on twitter. Social science computer review 33(3), 259\u2013276 (2015)","journal-title":"Social science computer review"},{"key":"12_CR41","doi-asserted-by":"crossref","unstructured":"Venturini, T., Jacomy, M., Jensen, P.: What do we see when we look at networks. an introduction to visual network analysis and force-directed layouts. An introduction to visual network analysis and force-directed layouts, 26 April 2019","DOI":"10.2139\/ssrn.3378438"},{"key":"12_CR42","doi-asserted-by":"crossref","unstructured":"Weller, K., Bruns, A., Burgess, J., Mahrt, M., Puschmann, C.: Twitter and society, vol.\u00a089. Peter Lang (2014)","DOI":"10.3726\/978-1-4539-1170-9"},{"issue":"2\u20133","key":"12_CR43","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/s10791-017-9319-5","volume":"21","author":"X Yang","year":"2018","unstructured":"Yang, X., Macdonald, C., Ounis, I.: Using word embeddings in twitter election classification. Inf. Retrieval J. 21(2\u20133), 183\u2013207 (2018)","journal-title":"Inf. Retrieval J."},{"issue":"5","key":"12_CR44","doi-asserted-by":"publisher","first-page":"316","DOI":"10.1177\/0270467610380011","volume":"30","author":"S Yardi","year":"2010","unstructured":"Yardi, S., Boyd, D.: Dynamic debates: an analysis of group polarization over time on twitter. Bull. Sci. Technol. Soc. 30(5), 316\u2013327 (2010)","journal-title":"Bull. Sci. Technol. Soc."},{"issue":"4","key":"12_CR45","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1086\/jar.33.4.3629752","volume":"33","author":"WW Zachary","year":"1977","unstructured":"Zachary, W.W.: An information flow model for conflict and fission in small groups. J. Anthropol. Res. 33(4), 452\u2013473 (1977)","journal-title":"J. Anthropol. Res."},{"key":"12_CR46","unstructured":"Zhur, X., Ghahramanirh, Z.: Learning from labeled and unlabeled data with label propagation (2002)"}],"container-title":["Lecture Notes in Computer Science","Ontologies and Concepts in Mind and Machine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-57855-8_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,17]],"date-time":"2022-11-17T19:52:06Z","timestamp":1668714726000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-57855-8_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030578541","9783030578558"],"references-count":46,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-57855-8_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"10 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Conceptual Structures","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bolzano","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccs-conceptstruct2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccs-conference.org\/","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":"24","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":"10","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":"6","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":"42% - 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":"3.625","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":"2.357","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)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}