{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T18:57:20Z","timestamp":1773082640112,"version":"3.50.1"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031359149","type":"print"},{"value":"9783031359156","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-35915-6_10","type":"book-chapter","created":{"date-parts":[[2023,7,8]],"date-time":"2023-07-08T23:05:33Z","timestamp":1688857533000},"page":"116-130","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Predicting Twitter Hate User Behavior Using Big Five Personality Traits and Ensemble Machine Learning"],"prefix":"10.1007","author":[{"given":"Suresha","family":"Perera","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Supunmali","family":"Ahangama","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Indika","family":"Perera","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sandunika","family":"Hathnapitiya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,7,9]]},"reference":[{"key":"10_CR1","doi-asserted-by":"publisher","unstructured":"Abdel-Khalek, A.M., et al.: The big five personality traits as predictors of life satisfaction in Egyptian college students. Nordic Psychol., 1\u201318 (2022). https:\/\/doi.org\/10.1080\/19012276.2022.2065341","DOI":"10.1080\/19012276.2022.2065341"},{"key":"10_CR2","doi-asserted-by":"publisher","unstructured":"Alshalan, R., Al-Khalifa, H.: A deep learning approach for automatic hate speech detection in the Saudi Twittersphere. Appl. Sci. 10(23), 8614 (2020). https:\/\/doi.org\/10.3390\/app10238614","DOI":"10.3390\/app10238614"},{"key":"10_CR3","unstructured":"Apply Magic Sauce - Prediction API (no date) Apply Magic Sauce. https:\/\/applymagicsauce.com. Accessed 19 Oct 2021"},{"key":"10_CR4","doi-asserted-by":"crossref","unstructured":"Bachrach, Y., et al.: Personality and patterns of Facebook usage, p. 9 (2012)","DOI":"10.1145\/2380718.2380722"},{"key":"10_CR5","unstructured":"Chandra, M.: Towards a more holistic approach on online abuse and antisemitism. Ph.D. thesis. International Institute of Information Technology Hyderabad (2021). https:\/\/precog.iiitd.edu.in\/Publications_files\/mohit_chandra_masters_thesis_jan_2021.pdf"},{"key":"10_CR6","doi-asserted-by":"publisher","unstructured":"Cohen, J.: A coefficient of agreement for nominal scales. Educ. Psychol. Meas. 20(1), 37\u201346 (2016). https:\/\/doi.org\/10.1177\/001316446002000104","DOI":"10.1177\/001316446002000104"},{"key":"10_CR7","doi-asserted-by":"publisher","unstructured":"Coltheart, M.: The MRC psycholinguistic database. Q. J. Exp. Psychol. Sect. A 33(4), 497\u2013505 (1981). https:\/\/doi.org\/10.1080\/14640748108400805","DOI":"10.1080\/14640748108400805"},{"key":"10_CR8","doi-asserted-by":"publisher","unstructured":"Dias, S.D., Welikala, M.D., Dias, N.G.J.: Identifying racist social media comments in Sinhala language using text analytics models with machine learning. In: 2018 18th International Conference on Advances in ICT for Emerging Regions (ICTer), Colombo, Sri Lanka, pp. 1\u20136. IEEE (2018). https:\/\/doi.org\/10.1109\/ICTER.2018.8615492","DOI":"10.1109\/ICTER.2018.8615492"},{"key":"10_CR9","doi-asserted-by":"crossref","unstructured":"ElSherief, M., et al.: Peer to peer hate: hate speech instigators and their targets. In:  Proceedings of the Twelfth International AAAI Conference on Web and Social Media (ICWSM 2018), p. 10 (2018)","DOI":"10.1609\/icwsm.v12i1.15038"},{"key":"10_CR10","unstructured":"Farnadi, G., et al.: Recognising personality traits using Facebook status updates.  In: Proceedings of the International AAAI Conference on Web and Social Media, vol. 7, p. 6 (2013)"},{"key":"10_CR11","doi-asserted-by":"publisher","unstructured":"Golbeck, J., et al.: Predicting personality from Twitter. In: 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third International Conference on Social Computing. 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust (PASSAT)\/2011 IEEE Third International Conference on Social Computing (SocialCom), Boston, MA, USA, pp. 149\u2013156. IEEE (2011). https:\/\/doi.org\/10.1109\/PASSAT\/SocialCom.2011.33","DOI":"10.1109\/PASSAT\/SocialCom.2011.33"},{"key":"10_CR12","unstructured":"Goldberg, L.R.: An alternative \u201cdescription of personality\u201d: the big-five factor structure (23), 14 (1990)"},{"key":"10_CR13","doi-asserted-by":"crossref","unstructured":"Hathnapitiya, S., Ahangama, S., Adikari, S.: Early detection of sinhala fake news in social media. In: International Conference on Advanced Research in Computing \u2013 ICARC (2023a)","DOI":"10.1109\/ICARC57651.2023.10145586"},{"key":"10_CR14","unstructured":"Mathew, B., Kumar, N.: Analyzing the hate and counter speech accounts on Twitter, p. 11 (2018)"},{"key":"10_CR15","doi-asserted-by":"publisher","unstructured":"McIlroy-Young, R., Anderson, A.: From \u201cWelcome new gabbers\u201d to the Pittsburgh synagogue shooting: the evolution of gab. In:  Proceedings of the International AAAI Conference on Web and Social Media, vol. 13, pp. 651\u2013654 (2019). https:\/\/doi.org\/10.1609\/icwsm.v13i01.3264","DOI":"10.1609\/icwsm.v13i01.3264"},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Nielsen, L.B.: Subtle, pervasive, harmful: racist and sexist remarks in public as hate speech. J. Soc. Issues (2002, Preprint)","DOI":"10.1111\/1540-4560.00260"},{"key":"10_CR17","unstructured":"Ong, V., Rahmanto, A.D.S., Suhartono, D.: Exploring personality prediction from text on social media: a literature review 9(1), 7 (2017)"},{"key":"10_CR18","doi-asserted-by":"crossref","unstructured":"Perera, S., Ahangama, S., Perera, I.: Influence rank of hate users in Twitter: an analysis during Sri Lanka\u2019s political and economic crisis. In: International Conference on Advanced Research in Computing \u2013 ICARC (2023)","DOI":"10.1109\/ICARC57651.2023.10145632"},{"key":"10_CR19","doi-asserted-by":"publisher","unstructured":"Perera, S., Karunanayaka, K.: Sentiment analysis of social media data using fuzzy-rough set classifier for the prediction of the presidential election. In: 2022 2nd International Conference on Advanced Research in Computing (ICARC), Belihuloya, Sri Lanka, pp. 188\u2013193 (2022). https:\/\/doi.org\/10.1109\/ICARC54489.2022.9754173","DOI":"10.1109\/ICARC54489.2022.9754173"},{"key":"10_CR20","doi-asserted-by":"crossref","unstructured":"Rajapaksha, N., Ahangama, S., Adikari, S.: Fine-tuning XLM-R for the detection of Sinhala hate speech content on Twitter and Youtube. In:  International Conference on Advanced Research in Computing \u2013 ICARC (2023b)","DOI":"10.1109\/ICARC57651.2023.10145745"},{"key":"10_CR21","doi-asserted-by":"publisher","unstructured":"Schwartz, H.A., et al.: Personality, gender, and age in the language of social media: the open-vocabulary approach. PLoS ONE 8(9), e73791 (2013). Edited by T. Preis. https:\/\/doi.org\/10.1371\/journal.pone.0073791","DOI":"10.1371\/journal.pone.0073791"},{"key":"10_CR22","doi-asserted-by":"crossref","unstructured":"Stajner, S., Yenikent, S.: A survey of automatic personality detection from texts. In: Proceedings of the 28th International Conference on Computational Linguistics, Barcelona, Spain, pp. 6284\u20136295 (2020)","DOI":"10.18653\/v1\/2020.coling-main.553"},{"key":"10_CR23","doi-asserted-by":"publisher","unstructured":"Stidham, H., Summers, J., Shuffler, M.: Using the five factor model to study personality convergence on student engineering design teams. In: 15th International Design Conference, pp. 2145\u20132154 (2018). https:\/\/doi.org\/10.21278\/idc.2018.0508","DOI":"10.21278\/idc.2018.0508"},{"key":"10_CR24","doi-asserted-by":"publisher","unstructured":"Sumner, C., et al.: Predicting dark triad personality traits from Twitter usage and a linguistic analysis of tweets. In: 2012 11th International Conference on Machine Learning and Applications (ICMLA), Boca Raton, FL, USA, pp. 386\u2013393. IEEE (2012). https:\/\/doi.org\/10.1109\/ICMLA.2012.218","DOI":"10.1109\/ICMLA.2012.218"},{"key":"10_CR25","doi-asserted-by":"publisher","unstructured":"Tadesse, M.M., et al.: Personality predictions based on user behavior on the Facebook social media platform. IEEE Access 6, 61959\u201361969 (2018). https:\/\/doi.org\/10.1109\/ACCESS.2018.2876502","DOI":"10.1109\/ACCESS.2018.2876502"},{"key":"10_CR26","doi-asserted-by":"publisher","unstructured":"Tandera, T., et al.: Personality prediction system from Facebook users. Procedia Comput. Sci. 116, 604\u2013611 (2017). https:\/\/doi.org\/10.1016\/j.procs.2017.10.016","DOI":"10.1016\/j.procs.2017.10.016"},{"key":"10_CR27","doi-asserted-by":"publisher","unstructured":"Tausczik, Y.R., Pennebaker, J.W.: The psychological meaning of words: LIWC and computerized text analysis methods.  J.  Lang. Soc. Psychol.,  24\u201354 (2010). https:\/\/doi.org\/10.1177\/0261927X09351676","DOI":"10.1177\/0261927X09351676"},{"key":"10_CR28","doi-asserted-by":"publisher","unstructured":"Wijeratne, Y.: The control of hate speech on social media: lessons from Sri Lanka. SSRN Electron. J. (2018, Preprint). https:\/\/doi.org\/10.2139\/ssrn.3275106.","DOI":"10.2139\/ssrn.3275106"},{"key":"10_CR29","doi-asserted-by":"publisher","unstructured":"Xue, D., et al.: Personality recognition on social media with label distribution learning.  IEEE Access 5, 13478\u201313488 (2017). https:\/\/doi.org\/10.1109\/ACCESS.2017.2719018","DOI":"10.1109\/ACCESS.2017.2719018"}],"container-title":["Lecture Notes in Computer Science","Social Computing and Social Media"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-35915-6_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,8]],"date-time":"2024-03-08T20:03:00Z","timestamp":1709928180000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-35915-6_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031359149","9783031359156"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-35915-6_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"9 July 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Copenhagen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Denmark","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 July 2023","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":"hcii2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2023.hci.international\/","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":"CMS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7472","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":"1578","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":"396","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":"21% - 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":"2","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)"}}]}}