{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T12:40:30Z","timestamp":1755693630404,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030630065"},{"type":"electronic","value":"9783030630072"}],"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\/978-3-030-63007-2_58","type":"book-chapter","created":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T00:02:39Z","timestamp":1606089759000},"page":"743-752","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Detection of Extremist Ideation on Social Media Using Machine Learning Techniques"],"prefix":"10.1007","author":[{"given":"Shynar","family":"Mussiraliyeva","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Milana","family":"Bolatbek","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Batyrkhan","family":"Omarov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kalamkas","family":"Bagitova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,11,23]]},"reference":[{"key":"58_CR1","doi-asserted-by":"crossref","unstructured":"Pande, N., Karyakarte, M.: A Review for Semantic Analysis and Text Document Annotation Using Natural Language Processing Techniques. Available at SSRN 3418747 (2019)","DOI":"10.2139\/ssrn.3418747"},{"key":"58_CR2","doi-asserted-by":"crossref","unstructured":"Alshemali, B., Kalita, J.: Improving the reliability of deep neural networks in NLP: a review. Knowl. Based Syst. 191, 105210 (2019)","DOI":"10.1016\/j.knosys.2019.105210"},{"issue":"2","key":"58_CR3","first-page":"56","volume":"6","author":"S Yankah","year":"2017","unstructured":"Yankah, S., Adams, K.S., Grimes, L., Price, A.: Age and online social media behavior in prediction of social activism orientation. J. Soc. Media Soc. 6(2), 56\u201389 (2017)","journal-title":"J. Soc. Media Soc."},{"issue":"1","key":"58_CR4","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1089\/vio.2017.0048","volume":"5","author":"M Costello","year":"2018","unstructured":"Costello, M., Hawdon, J.: Who are the online extremists among us? sociodemographic characteristics, social networking, and online experiences of those who produce online hate materials. Violence Gend. 5(1), 55\u201360 (2018)","journal-title":"Violence Gend."},{"key":"58_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ins.2017.07.030","volume":"418","author":"E Ferrara","year":"2017","unstructured":"Ferrara, E.: Contagion dynamics of extremist propaganda in social networks. Inf. Sci. 418, 1\u201312 (2017)","journal-title":"Inf. Sci."},{"key":"58_CR6","doi-asserted-by":"crossref","unstructured":"Awan, I.: Cyber-extremism: Isis and the power of social media. Society 54(2), 138\u2013149 (2017)","DOI":"10.1007\/s12115-017-0114-0"},{"key":"58_CR7","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.avb.2018.05.003","volume":"40","author":"N Chetty","year":"2018","unstructured":"Chetty, N., Alathur, S.: Hate speech review in the context of online social networks. Aggress. Violent. Beh. 40, 108\u2013118 (2018)","journal-title":"Aggress. Violent. Beh."},{"issue":"1","key":"58_CR8","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1037\/gpr0000144","volume":"22","author":"A Kruglanski","year":"2018","unstructured":"Kruglanski, A., Jasko, K., Webber, D., Chernikova, M., Molinario, E.: The making of violent extremists. Rev. Gen. Psychol. 22(1), 107\u2013120 (2018)","journal-title":"Rev. Gen. Psychol."},{"key":"58_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-540-71549-8_1","volume-title":"Intelligence and Security Informatics","author":"H Chen","year":"2007","unstructured":"Chen, H.: Exploring extremism and terrorism on the web: the dark web project. In: Yang, Christopher C., et al. (eds.) PAISI 2007. LNCS, vol. 4430, pp. 1\u201320. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-71549-8_1"},{"key":"58_CR10","unstructured":"Finlayson, M.A., Halverson, J.R., Corman, S.R.: The N2 corpus: a semantically annotated collection of Islamist extremist stories. LREC, pp. 896\u2013902 (2014)"},{"key":"58_CR11","doi-asserted-by":"crossref","unstructured":"Chepovskiy, A., Devyatkin, D., Smirnov, I., Ananyeva, M., Kobozeva, M., Solovyev, F.: Exploring linguistic features for extremist texts detection (on the material of Russian-speaking illegal texts). In: 2017 IEEE International Conference on Intelligence and Security Informatics: Security and Big Data, ISI 2017, pp. 188\u2013190. Institute of Electrical and Electronics Engineers Inc. (2017)","DOI":"10.1109\/ISI.2017.8004907"},{"key":"58_CR12","unstructured":"M\u00e9nard, P.A., Barriere, C.: PACTE: a colloaborative platform for textual annotation. In: Proceedings of the 13th Joint ISO-ACL Workshop on Interoperable Semantic Annotation (ISA-13) (2017)"},{"key":"58_CR13","first-page":"197","volume-title":"Visualisation in corpus-based discourse studies","author":"L Anthony","year":"2018","unstructured":"Anthony, L.: Visualisation in corpus-based discourse studies, pp. 197\u2013224. A Critical Review, Corpus Approaches to Discourse (2018)"},{"issue":"6","key":"58_CR14","doi-asserted-by":"publisher","first-page":"2419","DOI":"10.3758\/s13428-019-01284-4","volume":"51","author":"CR Wolfe","year":"2019","unstructured":"Wolfe, C.R., Dandignac, M., Reyna, V.F.: A theoretically motivated method for automatically evaluating texts for gist inferences. Behav. Res. Methods 51(6), 2419\u20132437 (2019). https:\/\/doi.org\/10.3758\/s13428-019-01284-4","journal-title":"Behav. Res. Methods"},{"key":"58_CR15","first-page":"1","volume":"12","author":"A Danekenova","year":"2019","unstructured":"Danekenova, A., Zhussupova, G., Nurmagambetov, R., Shunayeva, S., Popov, V.: The most used forms and methods of citizens involvement in terrorist and extremist activity. J. Pol. & L. 12, 1 (2019)","journal-title":"J. Pol. & L."},{"issue":"1","key":"58_CR16","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1080\/19312458.2018.1536972","volume":"13","author":"T Nicholls","year":"2019","unstructured":"Nicholls, T., Bright, J.: Understanding news story chains using information retrieval and network clustering techniques. Commun. Methods Measures 13(1), 43\u201359 (2019)","journal-title":"Commun. Methods Measures"},{"key":"58_CR17","first-page":"3","volume":"6","author":"S Tulkens","year":"2016","unstructured":"Tulkens, S., Hilte, L., Lodewyckx, E., Verhoeven, B., Daelemans, W.: The automated detection of racist discourse in dutch social media. Comput. Linguist. Netherlands J. 6, 3\u201320 (2016)","journal-title":"Comput. Linguist. Netherlands J."},{"key":"58_CR18","doi-asserted-by":"publisher","first-page":"105195","DOI":"10.1016\/j.dib.2020.105195","volume":"29","author":"S Narynov","year":"2020","unstructured":"Narynov, S., Mukhtarkhanuly, D., Omarov, B.: Dataset of depressive posts in Russian Language collected from social media. Data Brief 29, 105195 (2020)","journal-title":"Data Brief"},{"issue":"1","key":"58_CR19","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1186\/s13673-019-0185-6","volume":"9","author":"S Ahmad","year":"2019","unstructured":"Ahmad, S., Asghar, M.Z., Alotaibi, F.M., Awan, I.: Detection and classification of social media-based extremist affiliations using sentiment analysis techniques. Hum. Centric Comput. Inf. Sci. 9(1), 24 (2019)","journal-title":"Hum. Centric Comput. Inf. Sci."},{"key":"58_CR20","doi-asserted-by":"crossref","unstructured":"Scrivens, R., Gaudette, T., Davies, G., Frank, R.: Searching for extremist content online using the dark crawler and sentiment analysis. In: Methods of Criminology and Criminal Justice Research. Sociology of Crime, Law and Deviance, vol. 24, pp. 179\u2013194. Emerald Publishing Limited (2019)","DOI":"10.1108\/S1521-613620190000024016"},{"key":"58_CR21","doi-asserted-by":"crossref","unstructured":"Asif, M., Ishtiaq, A., Ahmad, H., Aljuaid, H., Shah, J.: Sentiment analysis of extremism in social media from textual information. Telematics and Informatics, p. 101345 (2020)","DOI":"10.1016\/j.tele.2020.101345"},{"key":"58_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1007\/11734628_3","volume-title":"Intelligence and Security Informatics","author":"M Last","year":"2006","unstructured":"Last, M., Markov, A., Kandel, A.: Multi-lingual detection of terrorist content on the web. In: Chen, H., et al. (eds.) WISI 2006. LNCS, vol. 3917, pp. 16\u201330. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11734628_3"},{"key":"58_CR23","unstructured":"Enghin Omer Using machine learning to identify jihadist messages on Twitter. http:\/\/uu.divaportal.org\/smash\/get\/diva2:846343\/FULLTEXT01.pdf"},{"key":"58_CR24","doi-asserted-by":"publisher","unstructured":"Sureka, A., Agarwal, S.: Learning to classify hate and extremism promoting tweets intelligence and security. In: 2014 IEEE Joint Year Informatics Conference (JISIC), 2014, pp. 320\u2013320 (2014). https:\/\/doi.org\/10.1109\/jisic.2014.65","DOI":"10.1109\/jisic.2014.65"},{"key":"58_CR25","doi-asserted-by":"crossref","unstructured":"Ferrara, E., Wang, W.-Q., Varol, O., Flammini, A., Galstyan, A.: Predicting online extremism, content adopters, and interaction reciprocity arXiv:1605.00659 [cs.SI] (2016)","DOI":"10.1007\/978-3-319-47874-6_3"},{"key":"58_CR26","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1002\/asi.21249","volume":"61","author":"Y Elovici","year":"2010","unstructured":"Elovici, Y., et al.: Detection of access to terrorrelated Web sites using an Advanced Terror Detection System (ATDS). J. Am. Soc. Inf. Sci. 61, 405\u2013418 (2010). https:\/\/doi.org\/10.1002\/asi.21249","journal-title":"J. Am. Soc. Inf. Sci."},{"issue":"97","key":"58_CR27","doi-asserted-by":"publisher","first-page":"134","DOI":"10.26577\/JMMCS-2018-1-492","volume":"1","author":"M Bolatbek","year":"2018","unstructured":"Bolatbek, M., Mussiraliyeva, S., Tukeyev, U.: Creating the dataset of keywords for detecting an extremist orientation in web-resources in the Kazakh language. J. Math. Mech. Comput. Sci. Farabi Kazakh National Univ. 1(97), 134\u2013142 (2018)","journal-title":"J. Math. Mech. Comput. Sci. Farabi Kazakh National Univ."}],"container-title":["Lecture Notes in Computer Science","Computational Collective Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-63007-2_58","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T00:29:18Z","timestamp":1606091358000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-63007-2_58"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030630065","9783030630072"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-63007-2_58","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":"23 November 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Collective Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Da Nang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","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":"30 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2020","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":"iccci2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccci.pwr.edu.pl\/2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}