{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T18:10:27Z","timestamp":1777486227488,"version":"3.51.4"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031162091","type":"print"},{"value":"9783031162107","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-16210-7_1","type":"book-chapter","created":{"date-parts":[[2022,9,20]],"date-time":"2022-09-20T23:03:09Z","timestamp":1663714989000},"page":"3-15","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["From Unhealthy Online Conversation to Political Violence: The Case of the January 6th Events at the Capitol"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5801-6345","authenticated-orcid":false,"given":"Erik-Robert","family":"Kovacs","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4192-183X","authenticated-orcid":false,"given":"Liviu-Adrian","family":"Cotfas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3589-1969","authenticated-orcid":false,"given":"Camelia","family":"Delcea","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,21]]},"reference":[{"key":"1_CR1","unstructured":"\u201cCapitol riots timeline: what happened on 6 Jan one year ago? BBC News. Available: https:\/\/www.bbc.com\/news\/world-us-canada-56004916 (2022). Accessed 26 Feb 2022"},{"key":"1_CR2","unstructured":"Simpson, M., Sidner, S.: Decoding the extremist symbols and groups at the Capitol Hill insurrection. CNN. https:\/\/www.cnn.com\/2021\/01\/09\/us\/capitol-hill-insurrection-extremist-flags-soh\/index.html. Accessed 26 Feb 2022"},{"key":"1_CR3","unstructured":"#StopTheSteal: Timeline of Social Media and Extremist Activities Leading to 1\/6 Insurrection. Just Security. https:\/\/www.justsecurity.org\/74622\/stopthesteal-timeline-of-social-media-and-extremist-activities-leading-to-1-6-insurrection\/ (2021). Accessed 26 Feb 2022"},{"key":"1_CR4","unstructured":"Most popular social media apps in U.S. Statista. https:\/\/www.statista.com\/statistics\/248074\/most-popular-us-social-networking-apps-ranked-by-audience\/. Accessed 26 Feb 2022"},{"key":"1_CR5","doi-asserted-by":"publisher","unstructured":"Price, I., et al.: Six attributes of unhealthy conversations. In: Proceedings of the Fourth Workshop on Online Abuse and Harms, pp. 114\u2013124 (2020). https:\/\/doi.org\/10.18653\/v1\/2020.alw-1.15","DOI":"10.18653\/v1\/2020.alw-1.15"},{"key":"1_CR6","doi-asserted-by":"publisher","unstructured":"Chen, E., Deb, A., Ferrara, E.: #Election2020: the first public Twitter dataset on the 2020 US Presidential election. J. Comput. Soc. Sci. (2021). https:\/\/doi.org\/10.1007\/s42001-021-00117-9","DOI":"10.1007\/s42001-021-00117-9"},{"key":"1_CR7","unstructured":"Wang, K., Yang, J., Wu, H.: A survey of toxic comment classification methods. arXiv:2112.06412 [cs]. Available: http:\/\/arxiv.org\/abs\/2112.06412 (2021). Accessed 14 Mar 2022"},{"key":"1_CR8","doi-asserted-by":"publisher","first-page":"107202","DOI":"10.1016\/j.chb.2022.107202","volume":"131","author":"Y Chen","year":"2022","unstructured":"Chen, Y., Wang, L.: Misleading political advertising fuels incivility online: a social network analysis of 2020 U.S. presidential election campaign video comments on YouTube. Comput. Hum. Behav. 131, 107202 (2022). https:\/\/doi.org\/10.1016\/j.chb.2022.107202","journal-title":"Comput. Hum. Behav."},{"key":"1_CR9","doi-asserted-by":"publisher","first-page":"360","DOI":"10.1016\/j.procs.2021.12.254","volume":"198","author":"S Gilda","year":"2022","unstructured":"Gilda, S., Giovanini, L., Silva, M., Oliveira, D.: Predicting different types of subtle toxicity in unhealthy online conversations. Proc. Comput. Sci. 198, 360\u2013366 (2022). https:\/\/doi.org\/10.1016\/j.procs.2021.12.254","journal-title":"Proc. Comput. Sci."},{"issue":"1","key":"1_CR10","doi-asserted-by":"publisher","first-page":"100062","DOI":"10.1016\/j.jjimei.2022.100062","volume":"2","author":"N Lashkarashvili","year":"2022","unstructured":"Lashkarashvili, N., Tsintsadze, M.: Toxicity detection in online Georgian discussions. Int. J. Inf. Manage. Data Insights 2(1), 100062 (2022). https:\/\/doi.org\/10.1016\/j.jjimei.2022.100062","journal-title":"Int. J. Inf. Manage. Data Insights"},{"key":"1_CR11","unstructured":"Toxic Comment Classification Challenge. https:\/\/kaggle.com\/c\/jigsaw-toxic-comment-classification-challenge. Accessed 15 Mar 2022"},{"key":"1_CR12","volume-title":"Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems","author":"S Vajjala","year":"2020","unstructured":"Vajjala, S., Majumder, B., Gupta, A., Surana, H.: Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems. O\u2019Reilly Media (2020)"},{"key":"1_CR13","doi-asserted-by":"publisher","unstructured":"Devlin, J., Chang, M.-W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), Minneapolis, Minnesota, pp. 4171\u20134186 (2019). https:\/\/doi.org\/10.18653\/v1\/N19-1423","DOI":"10.18653\/v1\/N19-1423"},{"key":"1_CR14","unstructured":"Liu, Y., et al.: RoBERTa: A Robustly Optimized BERT Pretraining Approach. arXiv:1907.11692 [cs]. Available: http:\/\/arxiv.org\/abs\/1907.11692 (2019). Accessed 26 Feb 2022"},{"key":"1_CR15","unstructured":"Yang, Z., Dai, Z., Yang, Y., Carbonell, J., Salakhutdinov, R., Le, Q.V.: XLNet: generalized autoregressive pretraining for language understanding. In: Advances in Neural Information Processing Systems, vol. 32 (nips 2019), La Jolla (2019)"},{"key":"1_CR16","volume-title":"Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies","author":"JD Kelleher","year":"2020","unstructured":"Kelleher, J.D., Namee, B.M., D\u2019Arcy, A.: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies, 2nd edn. MIT Press (2020)","edition":"2"},{"key":"1_CR17","doi-asserted-by":"publisher","unstructured":"Lees, J., Cikara, M.: Understanding and Combating Misperceived Polarization. PsyArXiv (2020). https:\/\/doi.org\/10.31234\/osf.io\/ncwez","DOI":"10.31234\/osf.io\/ncwez"},{"key":"1_CR18","unstructured":"Sheth, S.: Trump\u2019s 2nd impeachment is the most bipartisan in US history. Business Insider. https:\/\/www.businessinsider.com\/trump-second-impeachment-most-bipartisan-in-us-history-2021-1. Accessed 15 Mar 2022"},{"key":"1_CR19","unstructured":"Cole, D., LeBlanc, P.: An inauguration like no other: notable moments of a momentous day. CNN. https:\/\/www.cnn.com\/2021\/01\/20\/politics\/biden-inauguration-notable-moments\/index.html. Accessed 15 Mar 2022"},{"key":"1_CR20","unstructured":"Khodak, M., Saunshi, N., Vodrahalli, K.: A large self-annotated corpus for sarcasm. In: Presented at the LREC 2018, Miyazaki, Japan, May 2018. Available: https:\/\/aclanthology.org\/L18-1102. Accessed 15 Mar 2022"}],"container-title":["Communications in Computer and Information Science","Advances in Computational Collective Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-16210-7_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,9]],"date-time":"2023-03-09T12:15:21Z","timestamp":1678364121000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-16210-7_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031162091","9783031162107"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-16210-7_1","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"21 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}