{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T12:28:16Z","timestamp":1744892896063,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030784270"},{"type":"electronic","value":"9783030784287"}],"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\/978-3-030-78428-7_5","type":"book-chapter","created":{"date-parts":[[2021,6,13]],"date-time":"2021-06-13T23:03:11Z","timestamp":1623625391000},"page":"53-66","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An Approach to Detect Cyberbullying on Social Media"],"prefix":"10.1007","author":[{"given":"Fatemeh","family":"Sajadi Ansari","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahmoud","family":"Barhamgi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aymen","family":"Khelifi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Djamal","family":"Benslimane","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,6,14]]},"reference":[{"key":"5_CR1","unstructured":"Mediacorp. 3 in 4 youngsters say they have been bullied online (2018)"},{"key":"5_CR2","unstructured":"AT&T, Developing Safe and Successful Mobile Device and Online Media Habits: A Survey of New York City Area Families and Recommendations for Parents, Caregivers, Communities and Companies. Tyler Clementi Foundation (2018)"},{"key":"5_CR3","unstructured":"Morel, S., Pozza, V.D., Di Pietro, A., Psaila, E.: Cyberbullying among young people. European Parliament (2016)"},{"issue":"6","key":"5_CR4","doi-asserted-by":"publisher","first-page":"2703","DOI":"10.1016\/j.chb.2013.06.040","volume":"29","author":"RA Sabella","year":"2013","unstructured":"Sabella, R.A., Patchin, J.W., Hinduja, S.: Cyberbullying myths and realities. Comput. Hum. Behav. 29(6), 2703\u20132711 (2013)","journal-title":"Comput. Hum. Behav."},{"issue":"1","key":"5_CR5","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1145\/3424246","volume":"54","author":"M Mladenovi\u0107","year":"2021","unstructured":"Mladenovi\u0107, M., O\u0161mjanski, V., Stankovi\u0107, S.V.: Cyber-aggression, cyberbullying, and cyber-grooming: a survey and research challenges. ACM Comput. Surv. 54(1), 42 (2021)","journal-title":"ACM Comput. Surv."},{"issue":"1","key":"5_CR6","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1109\/TAFFC.2017.2761757","volume":"11","author":"S Salawu","year":"2020","unstructured":"Salawu, S., He, Y., Lumsden, J.: Approaches to automated detection of cyberbullying: a survey. IEEE Trans. Affect. Comput. 11(1), 3\u201324 (2020)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"5_CR7","unstructured":"Dinakar, K., Picard, R.W., Lieberman, H.: Common sense reasoning for detection, prevention, and mitigation of cyberbullying. In: The Twenty-Fourth International Joint Conference on Artificial Intelligence, pp. 4168\u20134172 (2015)"},{"key":"5_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1007\/978-3-319-08608-8_14","volume-title":"Databases Theory and Applications","author":"V Nahar","year":"2014","unstructured":"Nahar, V., Al-Maskari, S., Li, X., Pang, C.: Semi-supervised learning for cyberbullying detection in social networks. In: Wang, H., Sharaf, M.A. (eds.) ADC 2014. LNCS, vol. 8506, pp. 160\u2013171. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-08608-8_14"},{"key":"5_CR9","unstructured":"Choudhury, M.D., Counts, S., Horvitz, E.: Social media as a measurement tool of depression in populations. In: The Web Science Conference, pp. 47\u201356 (2013)"},{"key":"5_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1007\/978-3-642-31178-9_34","volume-title":"Natural Language Processing and Information Systems","author":"M Dadvar","year":"2012","unstructured":"Dadvar, M., Ordelman, R., de Jong, F., Trieschnigg, D.: Towards user modelling in the combat against cyberbullying. In: Bouma, G., Ittoo, A., M\u00e9tais, E., Wortmann, H. (eds.) NLDB 2012. LNCS, vol. 7337, pp. 277\u2013283. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-31178-9_34"},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"Squicciarini, A.C., Rajtmajer, S.M., Liu, Y., Griffin, C.: Identification and characterization of cyberbullying dynamics in an online social network. In: The IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2015, pp. 280\u2013285 (2015)","DOI":"10.1145\/2808797.2809398"},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Gupta, A., Yang, W., Sivakumar, D., Silva, Y.N., Hall, D.L., Barioni, M.C.N.: Temporal properties of cyberbullying on instagram. In: Companion of the 2020 Web Conference 2020, pp. 576\u2013583 (2020)","DOI":"10.1145\/3366424.3385771"},{"key":"5_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1007\/978-3-030-59065-9_20","volume-title":"Big Data Analytics and Knowledge Discovery","author":"M Dadvar","year":"2020","unstructured":"Dadvar, M., Eckert, K.: Cyberbullying detection in social networks using deep learning based models. In: Song, M., Song, I.-Y., Kotsis, G., Tjoa, A.M., Khalil, I. (eds.) DaWaK 2020. LNCS, vol. 12393, pp. 245\u2013255. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-59065-9_20"},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"Fahrnberger, G., Nayak, D., Martha, V.S., Ramaswamy, S.: SafeChat: a tool to shield children\u2019s communication from explicit messages. In: 14th International Conference on Innovations for Community Services, I4CS, pp. 80\u201386 (2014)","DOI":"10.1109\/I4CS.2014.6860557"},{"key":"5_CR15","unstructured":"Kontostathis, A., Reynolds, K., Garron, A., Edwards, L.: Detecting cyberbullying: query terms and techniques. In: Web Science 2013 (co-located with ECRC), WebSci 2013, Paris, France, 2\u20134 May 2013, pp. 195\u2013204 (2013)"},{"key":"5_CR16","doi-asserted-by":"crossref","unstructured":"Serra, S., Venter, H.S.: Mobile cyber-bullying: a proposal for a pre-emptive approach to risk mitigation by employing digital forensic readiness. In: Information Security South Africa Conference ISSA 2011 (2011)","DOI":"10.1109\/ISSA.2011.6027507"},{"key":"5_CR17","doi-asserted-by":"crossref","unstructured":"Chen, Y., Zhou, Y., Zhu, S., Xu, H.: Detecting offensive language in social media to protect adolescent online safety. In: IEEE International Conference on Social Computing (SocialCom), pp. 71\u201380 (2012)","DOI":"10.1109\/SocialCom-PASSAT.2012.55"},{"key":"5_CR18","unstructured":"Bretschneider, U., W\u00f6hner, T., Peters, R.: Detecting online harassment in social networks. In: The International Conference on Information Systems (2014)"},{"key":"5_CR19","doi-asserted-by":"crossref","unstructured":"Dadvar, M., Trieschnigg, R., de Jong, F.: Experts and machines against bullies: a hybrid approach to detect cyberbullies. In: 27th Canadian Conference on Artificial Intelligence, pp. 275\u2013281, May 2014","DOI":"10.1007\/978-3-319-06483-3_25"},{"key":"5_CR20","doi-asserted-by":"crossref","unstructured":"Hang, O.C., Dahlan, H.M.: Cyberbullying lexicon for social media. In: 6th International Conference on Research and Innovation in Information Systems (ICRIIS), pp. 1\u20136 (2019)","DOI":"10.1109\/ICRIIS48246.2019.9073679"},{"key":"5_CR21","unstructured":"The big five trait taxonomy: History, measurement, and theoretical perspectives. In: Handbook of Personality: Theory and Research, vol. 2, pp. 102\u2013138 (1999)"}],"container-title":["Lecture Notes in Computer Science","Model and Data Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-78428-7_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,13]],"date-time":"2021-06-13T23:17:46Z","timestamp":1623626266000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-78428-7_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030784270","9783030784287"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-78428-7_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"14 June 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MEDI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Model and Data Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tallinn","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Estonia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 June 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"medi2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/cs.ttu.ee\/events\/medi2021\/","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":"47","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":"16","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":"8","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":"34% - 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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to the Corona pandemic the event was held virtually.","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)"}}]}}