{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:17:15Z","timestamp":1742912235701,"version":"3.40.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031766060"},{"type":"electronic","value":"9783031766077"}],"license":[{"start":{"date-parts":[[2024,11,17]],"date-time":"2024-11-17T00:00:00Z","timestamp":1731801600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,17]],"date-time":"2024-11-17T00:00:00Z","timestamp":1731801600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-76607-7_18","type":"book-chapter","created":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T05:00:39Z","timestamp":1731733239000},"page":"244-255","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Hate Speech Detection in\u00a0Portuguese Using BERTimbau"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6544-9066","authenticated-orcid":false,"given":"Jo\u00e3o Ot\u00e1vio Rodrigues Ferreira","family":"Frediani","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1236-7929","authenticated-orcid":false,"given":"Gabriel Lino","family":"Garcia","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9093-535X","authenticated-orcid":false,"given":"Pedro Henrique","family":"Paiola","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3529-3109","authenticated-orcid":false,"given":"Leandro Aparecido","family":"Passos","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6494-7514","authenticated-orcid":false,"given":"Jo\u00e3o Paulo","family":"Papa","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4861-7061","authenticated-orcid":false,"given":"Aparecido Nilceu","family":"Marana","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,17]]},"reference":[{"unstructured":"Aluru, S.S., Mathew, B., Saha, P., Mukherjee, A.: Deep learning models for multilingual hate speech detection. arXiv preprint arXiv:2004.06465 (2020)","key":"18_CR1"},{"key":"18_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114120","volume":"166","author":"FM Plaza-del Arco","year":"2021","unstructured":"Plaza-del Arco, F.M., Molina-Gonz\u00e1lez, M.D., Urena-L\u00f3pez, L.A., Mart\u00edn-Valdivia, M.T.: Comparing pre-trained language models for Spanish hate speech detection. Expert Syst. Appl. 166, 114120 (2021)","journal-title":"Expert Syst. Appl."},{"doi-asserted-by":"crossref","unstructured":"Assis, G., Amorim, A., Carvalho, J., de\u00a0Oliveira, D., Vianna, D., Paes, A.: Exploring Portuguese hate speech detection in low-resource settings: lightly tuning encoder models or in-context learning of large models? In: Proceedings of the 16th International Conference on Computational Processing of Portuguese, pp. 301\u2013311 (2024)","key":"18_CR3","DOI":"10.52591\/lxai202406212"},{"unstructured":"Beyhan, F., \u00c7ar\u0131k, B., Ar\u0131n, I., Terzio\u011flu, A., Yanikoglu, B., Yeniterzi, R.: A Turkish hate speech dataset and detection system. In: Proceedings of the Thirteenth Language Resources and Evaluation Conference, pp. 4177\u20134185 (2022)","key":"18_CR4"},{"key":"18_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121115","volume":"235","author":"AA Firmino","year":"2024","unstructured":"Firmino, A.A., de Souza Baptista, C., de Paiva, A.C.: Improving hate speech detection using cross-lingual learning. Expert Syst. Appl. 235, 121115 (2024)","journal-title":"Expert Syst. Appl."},{"issue":"4","key":"18_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3232676","volume":"51","author":"P Fortuna","year":"2018","unstructured":"Fortuna, P., Nunes, S.: A survey on automatic detection of hate speech in text. ACM Comput. Surv. (CSUR) 51(4), 1\u201330 (2018)","journal-title":"ACM Comput. Surv. (CSUR)"},{"doi-asserted-by":"crossref","unstructured":"Fortuna, P., da\u00a0Silva, J.R., Wanner, L., Nunes, S., et\u00a0al.: A hierarchically-labeled Portuguese hate speech dataset. In: Proceedings of the Third Workshop on Abusive Language Online, pp. 94\u2013104 (2019)","key":"18_CR7","DOI":"10.18653\/v1\/W19-3510"},{"key":"18_CR8","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1016\/j.eswa.2016.12.035","volume":"73","author":"G Haixiang","year":"2017","unstructured":"Haixiang, G., Yijing, L., Shang, J., Mingyun, G., Yuanyue, H., Bing, G.: Learning from class-imbalanced data: review of methods and applications. Expert Syst. Appl. 73, 220\u2013239 (2017)","journal-title":"Expert Syst. Appl."},{"doi-asserted-by":"crossref","unstructured":"Hassan, S., Samih, Y., Mubarak, H., Abdelali, A.: Alt at Semeval-2020 task 12: Arabic and English offensive language identification in social media. In: Proceedings of the Fourteenth Workshop on Semantic Evaluation, pp. 1891\u20131897 (2020)","key":"18_CR9","DOI":"10.18653\/v1\/2020.semeval-1.249"},{"issue":"3","key":"18_CR10","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1080\/13811118.2010.494133","volume":"14","author":"S Hinduja","year":"2010","unstructured":"Hinduja, S., Patchin, J.W.: Bullying, cyberbullying, and suicide. Arch. Suicide Res. 14(3), 206\u2013221 (2010)","journal-title":"Arch. Suicide Res."},{"doi-asserted-by":"crossref","unstructured":"Jahan, M.S., Oussalah, M.: A systematic review of hate speech automatic detection using natural language processing. Neurocomputing, 126232 (2023)","key":"18_CR11","DOI":"10.1016\/j.neucom.2023.126232"},{"unstructured":"Jaki, S., De\u00a0Smedt, T.: Right-wing German hate speech on Twitter: analysis and automatic detection. arXiv preprint arXiv:1910.07518 (2019)","key":"18_CR12"},{"issue":"2","key":"18_CR13","doi-asserted-by":"publisher","first-page":"356","DOI":"10.5755\/j01.itc.51.2.29988","volume":"51","author":"H Karayi\u011fit","year":"2022","unstructured":"Karayi\u011fit, H., Akdagli, A., Aci, \u00c7.\u0130: Homophobic and hate speech detection using multilingual-BERT model on Turkish social media. Inf. Technol. Control 51(2), 356\u2013375 (2022)","journal-title":"Inf. Technol. Control"},{"issue":"4","key":"18_CR14","first-page":"1","volume":"52","author":"H Kaur","year":"2019","unstructured":"Kaur, H., Pannu, H.S., Malhi, A.K.: A systematic review on imbalanced data challenges in machine learning: applications and solutions. ACM Comput. Surv. (CSUR) 52(4), 1\u201336 (2019)","journal-title":"ACM Comput. Surv. (CSUR)"},{"unstructured":"KEPIOS: Global social media statistics (2024). https:\/\/datareportal.com\/social-media-users","key":"18_CR15"},{"doi-asserted-by":"crossref","unstructured":"Leite, J.A., Silva, D.F., Bontcheva, K., Scarton, C.: Toxic language detection in social media for Brazilian Portuguese: new dataset and multilingual analysis. arXiv preprint arXiv:2010.04543 (2020)","key":"18_CR16","DOI":"10.18653\/v1\/2020.aacl-main.91"},{"key":"18_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-031-08473-7_1","volume-title":"Natural Language Processing and Information Systems - NLDB 2022","author":"I Markov","year":"2022","unstructured":"Markov, I., Gevers, I., Daelemans, W.: An ensemble approach for Dutch cross-domain hate speech detection. In: Rosso, P., Basile, V., Mart\u00ednez, R., M\u00e9tais, E., Meziane, F. (eds.) NLDB 2022. lncs, vol. 13286, pp. 3\u201315. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-08473-7_1"},{"key":"18_CR18","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"928","DOI":"10.1007\/978-3-030-36687-2_77","volume-title":"Complex Networks and Their Applications VIII","author":"M Mozafari","year":"2020","unstructured":"Mozafari, M., Farahbakhsh, R., Crespi, N.: A BERT-based transfer learning approach for hate speech detection in online social media. In: Cherifi, H., Gaito, S., Mendes, J.F., Moro, E., Rocha, L.M. (eds.) COMPLEX NETWORKS 2019. SCI, vol. 881, pp. 928\u2013940. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-36687-2_77"},{"doi-asserted-by":"crossref","unstructured":"Mubarak, H., Darwish, K., Magdy, W.: Abusive language detection on Arabic social media. In: Proceedings of the First Workshop on Abusive Language Online, pp. 52\u201356 (2017)","key":"18_CR19","DOI":"10.18653\/v1\/W17-3008"},{"doi-asserted-by":"crossref","unstructured":"Obermaier, M., Schmuck, D., Saleem, M.: I\u2019ll be there for you? Effects of Islamophobic online hate speech and counter speech on Muslim in-group bystanders\u2019 intention to intervene. New Media Soc. 14614448211017527 (2021)","key":"18_CR20","DOI":"10.1177\/14614448211017527"},{"key":"18_CR21","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1007\/978-3-030-44289-7_24","volume-title":"Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020)","author":"A Omar","year":"2020","unstructured":"Omar, A., Mahmoud, T.M., Abd-El-Hafeez, T.: Comparative performance of machine learning and deep learning algorithms for arabic hate speech detection in OSNs. In: Hassanien, A.-E., Azar, A.T., Gaber, T., Oliva, D., Tolba, F.M. (eds.) AICV 2020. AISC, vol. 1153, pp. 247\u2013257. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-44289-7_24"},{"key":"18_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108445","volume":"242","author":"LA Passos","year":"2022","unstructured":"Passos, L.A., Jodas, D.S., Ribeiro, L.C., Akio, M., De Souza, A.N., Papa, J.P.: Handling imbalanced datasets through optimum-path forest. Knowl.-Based Syst. 242, 108445 (2022)","journal-title":"Knowl.-Based Syst."},{"doi-asserted-by":"crossref","unstructured":"Silva, A., Roman, N.: Hate speech detection in Portuguese with Na\u00efve Bayes, SVM, MLP and logistic regression. In: Anais do XVII Encontro Nacional de Intelig\u00eancia Artificial e Computacional, pp. 1\u201312. SBC (2020)","key":"18_CR23","DOI":"10.5753\/eniac.2020.12112"},{"unstructured":"da\u00a0Silva, R.C.C., Rosa, T.C.: Combining data transformation and classification approaches for hate speech detection: a comparative study. Thierson, Combining Data Transformation and Classification Approaches for Hate Speech Detection: A Comparative Study","key":"18_CR24"},{"key":"18_CR25","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"403","DOI":"10.1007\/978-3-030-61377-8_28","volume-title":"Intelligent Systems","author":"F Souza","year":"2020","unstructured":"Souza, F., Nogueira, R., Lotufo, R.: BERTimbau: pretrained BERT models for Brazilian Portuguese. In: Cerri, R., Prati, R.C. (eds.) BRACIS 2020. LNCS (LNAI), vol. 12319, pp. 403\u2013417. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-61377-8_28"},{"doi-asserted-by":"crossref","unstructured":"Trajano, D., Bordini, R.H., Vieira, R.: Olid-BR: offensive language identification dataset for Brazilian Portuguese. Lang. Resourc. Eval. 1\u201327 (2023)","key":"18_CR26","DOI":"10.21203\/rs.3.rs-2196576\/v1"},{"issue":"3","key":"18_CR27","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1109\/TLA.2023.10068844","volume":"21","author":"E del Valle","year":"2023","unstructured":"del Valle, E., de la Fuente, L.: Sentiment analysis methods for politics and hate speech contents in Spanish language: a systematic review. IEEE Lat. Am. Trans. 21(3), 408\u2013418 (2023)","journal-title":"IEEE Lat. Am. Trans."},{"unstructured":"Vargas, F.A., Carvalho, I., de\u00a0G\u00f3es, F.R., Benevenuto, F., Pardo, T.A.S.: HateBR: a large expert annotated corpus of Brazilian Instagram comments for offensive language and hate speech detection. arXiv preprint arXiv:2103.14972 (2021)","key":"18_CR28"},{"issue":"1","key":"18_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40537-016-0043-6","volume":"3","author":"K Weiss","year":"2016","unstructured":"Weiss, K., Khoshgoftaar, T.M., Wang, D.D.: A survey of transfer learning. J. Big Data 3(1), 1\u201340 (2016). https:\/\/doi.org\/10.1186\/s40537-016-0043-6","journal-title":"J. Big Data"},{"unstructured":"Williams, M.: Hatred behind the screens: A report on the rise of online hate speech (2019)","key":"18_CR30"},{"issue":"1","key":"18_CR31","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1109\/JPROC.2020.3004555","volume":"109","author":"F Zhuang","year":"2020","unstructured":"Zhuang, F., et al.: A comprehensive survey on transfer learning. Proc. IEEE 109(1), 43\u201376 (2020)","journal-title":"Proc. IEEE"}],"container-title":["Lecture Notes in Computer Science","Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-76607-7_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T11:42:37Z","timestamp":1733053357000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-76607-7_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,17]]},"ISBN":["9783031766060","9783031766077"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-76607-7_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,17]]},"assertion":[{"value":"17 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CIARP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Iberoamerican Congress on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Talca","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chile","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ciarp2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ciarp24.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}