{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T23:50:04Z","timestamp":1742946604280,"version":"3.40.3"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031723490"},{"type":"electronic","value":"9783031723506"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-72350-6_8","type":"book-chapter","created":{"date-parts":[[2024,9,18]],"date-time":"2024-09-18T12:14:50Z","timestamp":1726661690000},"page":"116-130","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Anti-hate Speech Framework: Leveraging Hedging Hyperbolic Learning"],"prefix":"10.1007","author":[{"given":"Hongyi","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Zhiyuan","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jingyu","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Daniel","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Fanliang","family":"Bu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,9,17]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","unstructured":"ANA, O.S.: like an animal i was treated: anti-immigrant metaphor in us public discourse. Discourse Soc. 10(2), 191\u2013224 (1999). https:\/\/doi.org\/10.1177\/0957926599010002004","DOI":"10.1177\/0957926599010002004"},{"key":"8_CR2","doi-asserted-by":"publisher","unstructured":"Badjatiya, P., Gupta, M., Varma, V.: Stereotypical bias removal for hate speech detection task using knowledge-based generalizations. In: The World Wide Web Conference, pp. 49\u201359. WWW \u201919, Association for Computing Machinery, New York, NY, USA (2019). https:\/\/doi.org\/10.1145\/3308558.3313504","DOI":"10.1145\/3308558.3313504"},{"key":"8_CR3","doi-asserted-by":"publisher","unstructured":"Baruah, A., Barbhuiya, F., Dey, K.: ABARUAH at SemEval-2019 task 5 : Bi-directional lstm for hate speech detection. In: May, J., Shutova, E., Herbelot, A., Zhu, X., Apidianaki, M., Mohammad, S.M. (eds.) Proceedings of the 13th International Workshop on Semantic Evaluation, pp. 371\u2013376. Association for Computational Linguistics, Minneapolis, Minnesota, USA (2019). https:\/\/doi.org\/10.18653\/v1\/S19-2065, https:\/\/aclanthology.org\/S19-2065","DOI":"10.18653\/v1\/S19-2065"},{"key":"8_CR4","doi-asserted-by":"publisher","unstructured":"Caselli, T., Basile, V., Mitrovi\u0107, J., Granitzer, M.: Hatebert: retraining bert for abusive language detection in English. In: Mostafazadeh\u00a0Davani, A., Kiela, D., Lambert, M., Vidgen, B., Prabhakaran, V., Waseem, Z. (eds.) Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021), pp. 17\u201325. Association for Computational Linguistics, Online (2021). https:\/\/doi.org\/10.18653\/v1\/2021.woah-1.3, https:\/\/aclanthology.org\/2021.woah-1.3","DOI":"10.18653\/v1\/2021.woah-1.3"},{"key":"8_CR5","unstructured":"Chen, Q., Zhang, R., Zheng, Y., Mao, Y.: Dual contrastive learning: Text classification via label-aware data augmentation (2022). ArXiv abs\/2201.08702.https:\/\/api.semanticscholar.org\/CorpusID:246210220"},{"key":"8_CR6","doi-asserted-by":"publisher","unstructured":"Chen, Y., Zhou, Y., Zhu, S., Xu, H.: Detecting offensive language in social media to protect adolescent online safety. In: 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing, pp. 71\u201380 (2012). https:\/\/doi.org\/10.1109\/SocialCom-PASSAT.2012.55","DOI":"10.1109\/SocialCom-PASSAT.2012.55"},{"key":"8_CR7","doi-asserted-by":"publisher","unstructured":"Dai, S., Gan, Z., Cheng, Y., Tao, C., Carin, L., Liu, J.: Apo-vae: text generation in hyperbolic space. In: Toutanova, K., et al (eds.) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 416\u2013431. Association for Computational Linguistics, Online (2021). https:\/\/doi.org\/10.18653\/v1\/2021.naacl-main.36, https:\/\/aclanthology.org\/2021.naacl-main.36","DOI":"10.18653\/v1\/2021.naacl-main.36"},{"key":"8_CR8","doi-asserted-by":"publisher","unstructured":"Deng, J., et al.: COLD: a benchmark for Chinese offensive language detection. In: Goldberg, Y., Kozareva, Z., Zhang, Y. (eds.) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pp. 11580\u201311599. Association for Computational Linguistics, Abu Dhabi, United Arab Emirates (Dec 2022). https:\/\/doi.org\/10.18653\/v1\/2022.emnlp-main.796, https:\/\/aclanthology.org\/2022.emnlp-main.796","DOI":"10.18653\/v1\/2022.emnlp-main.796"},{"key":"8_CR9","unstructured":"Desai, K., Nickel, M., Rajpurohit, T., Johnson, J., Vedantam, R.: Hyperbolic image-text representations (2023). ArXiv abs\/2304.09172. https:\/\/api.semanticscholar.org\/CorpusID:258187329"},{"key":"8_CR10","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: Burstein, J., Doran, C., Solorio, T. (eds.) Proceedings of the 2019 onference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, vol.1 (Long and Short Papers), pp. 4171\u20134186. Association for Computational Linguistics, Minneapolis, Minnesota (2019). https:\/\/doi.org\/10.18653\/v1\/N19-1423, https:\/\/aclanthology.org\/N19-1423","DOI":"10.18653\/v1\/N19-1423"},{"key":"8_CR11","doi-asserted-by":"publisher","unstructured":"Dhingra, B., Shallue, C., Norouzi, M., Dai, A., Dahl, G.: Embedding text in hyperbolic spaces. In: Glava\u0161, G., Somasundaran, S., Riedl, M., Hovy, E. (eds.) Proceedings of the Twelfth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-12), pp. 59\u201369. Association for Computational Linguistics, New Orleans, Louisiana, USA (2018). https:\/\/doi.org\/10.18653\/v1\/W18-1708, https:\/\/aclanthology.org\/W18-1708","DOI":"10.18653\/v1\/W18-1708"},{"key":"8_CR12","doi-asserted-by":"publisher","unstructured":"Ge, S., Mishra, S., Kornblith, S., Li, C.L., Jacobs, D.: Hyperbolic contrastive learning for visual representations beyond objects. In: 2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6840\u20136849 (2023). https:\/\/doi.org\/10.1109\/CVPR52729.2023.00661","DOI":"10.1109\/CVPR52729.2023.00661"},{"key":"8_CR13","doi-asserted-by":"publisher","unstructured":"Giglietto, F., Lee, Y.: A hashtag worth a thousand words: discursive strategies around #jenesuispascharlie after the 2015 charlie hebdo shooting. Soc. Media + Soc. 3(1), 2056305116686992 (2017). https:\/\/doi.org\/10.1177\/2056305116686992","DOI":"10.1177\/2056305116686992"},{"key":"8_CR14","unstructured":"Hakimov, S., Ewerth, R.: Combining textual features for the detection of hateful and offensive language. In: Fire (2021). https:\/\/api.semanticscholar.org\/CorpusID:245005777"},{"key":"8_CR15","unstructured":"Haralambous, Y., Lenca, P.: Text classification using association rules, dependency pruning and hyperonymization. In: CEUR Workshop Proceedings 1202 (2014)"},{"key":"8_CR16","doi-asserted-by":"crossref","unstructured":"Jahan, M.S., Oussalah, M.: A systematic review of hate speech automatic detection using natural language processing. Neurocomputing 546, 126232 (2023) 10.1016\/j.neucom.2023.126232, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0925231223003557","DOI":"10.1016\/j.neucom.2023.126232"},{"key":"8_CR17","doi-asserted-by":"publisher","unstructured":"Khrulkov, V., Mirvakhabova, L., Ustinova, E., Oseledets, I., Lempitsky, V.: Hyperbolic image embeddings. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6417\u20136427 (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00645","DOI":"10.1109\/CVPR42600.2020.00645"},{"key":"8_CR18","unstructured":"Kim, Y., Park, S., Han, Y.S.: Generalizable implicit hate speech detection using contrastive learning. In: Calzolari, N., et al(eds.) Proceedings of the 29th International Conference on Computational Linguistics, pp. 6667\u20136679. International Committee on Computational Linguistics, Gyeongju, Republic of Korea (2022). https:\/\/aclanthology.org\/2022.coling-1.579"},{"key":"8_CR19","unstructured":"Lee, J.M.: Introduction to Riemannian Manifolds. Springer International Publishing (2019). https:\/\/books.google.com\/books?id=UIPltQEACAAJ"},{"key":"8_CR20","doi-asserted-by":"publisher","first-page":"2787","DOI":"10.1109\/TASLP.2023.3294715","volume":"31","author":"J Lu","year":"2023","unstructured":"Lu, J., et al.: Hate speech detection via dual contrastive learning. IEEE\/ACM Trans. Audio Speech Lang. Process. 31, 2787\u20132795 (2023). https:\/\/doi.org\/10.1109\/TASLP.2023.3294715","journal-title":"IEEE\/ACM Trans. Audio Speech Lang. Process."},{"key":"8_CR21","doi-asserted-by":"publisher","unstructured":"Matamoros-Fern\u00e1ndez, A., Farkas, J.: Racism, hate speech, and social media: a systematic review and critique. Telev. New Media 22, 205\u2013224 (2021). https:\/\/doi.org\/10.1177\/1527476420982230","DOI":"10.1177\/1527476420982230"},{"key":"8_CR22","doi-asserted-by":"publisher","unstructured":"Mehdad, Y., Tetreault, J.: Do characters abuse more than words? In: Fernandez, R., Minker, W., Carenini, G., Higashinaka, R., Artstein, R., Gainer, A. (eds.) Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pp. 299\u2013303. Association for Computational Linguistics, Los Angeles (2016). https:\/\/doi.org\/10.18653\/v1\/W16-3638, https:\/\/aclanthology.org\/W16-3638","DOI":"10.18653\/v1\/W16-3638"},{"key":"8_CR23","doi-asserted-by":"crossref","unstructured":"Mozafari, M., Farahbakhsh, R., Crespi, N.: Hate speech detection and racial bias mitigation in social media based on BERT model. PLoS ONE 15(8) (2020). https:\/\/api.semanticscholar.org\/CorpusID:221136077","DOI":"10.1371\/journal.pone.0237861"},{"issue":"2","key":"8_CR24","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1111\/1540-4560.00260","volume":"58","author":"L Nielsen","year":"2002","unstructured":"Nielsen, L.: Subtle, pervasive, harmful: racist and sexist remarks in public as hate speech. J. Soc. Issues 58(2), 265\u2013280 (2002). https:\/\/doi.org\/10.1111\/1540-4560.00260","journal-title":"J. Soc. Issues"},{"key":"8_CR25","doi-asserted-by":"publisher","unstructured":"Nobata, C., Tetreault, J., Thomas, A., Mehdad, Y., Chang, Y.: Abusive language detection in online user content. In: Proceedings of the 25th International Conference on World Wide Web, pp. 145\u2013153. WWW 2016, International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, CHE (2016). https:\/\/doi.org\/10.1145\/2872427.2883062","DOI":"10.1145\/2872427.2883062"},{"key":"8_CR26","unstructured":"van\u00a0den Oord, A., Li, Y., Vinyals, O.: Representation learning with contrastive predictive coding (2018). ArXiv abs\/1807.03748. https:\/\/api.semanticscholar.org\/CorpusID:49670925"},{"issue":"4","key":"8_CR27","doi-asserted-by":"publisher","first-page":"215824402097302","DOI":"10.1177\/2158244020973022","volume":"10","author":"MA Paz","year":"2020","unstructured":"Paz, M.A., Montero-D\u00edaz, J., Moreno-Delgado, A.: Hate speech: a systematized review. SAGE Open 10(4), 2158244020973022 (2020). https:\/\/doi.org\/10.1177\/2158244020973022","journal-title":"SAGE Open"},{"issue":"12","key":"8_CR28","doi-asserted-by":"publisher","first-page":"10023","DOI":"10.1109\/TPAMI.2021.3136921","volume":"44","author":"W Peng","year":"2022","unstructured":"Peng, W., Varanka, T., Mostafa, A., Shi, H., Zhao, G.: Hyperbolic deep neural networks: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(12), 10023\u201310044 (2022). https:\/\/doi.org\/10.1109\/TPAMI.2021.3136921","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"8_CR29","doi-asserted-by":"publisher","unstructured":"Putra, B.P., Irawan, B., Setianingsih, C., Rahmadani, A., Imanda, F., Fawwas, I.Z.: Hate speech detection using convolutional neural network algorithm based on image. In: 2021 International Seminar on Machine Learning, Optimization, and Data Science (ISMODE), pp. 207\u2013212 (2022). https:\/\/doi.org\/10.1109\/ISMODE53584.2022.9742810","DOI":"10.1109\/ISMODE53584.2022.9742810"},{"key":"8_CR30","doi-asserted-by":"publisher","unstructured":"Qian, J., ElSherief, M., Belding, E., Wang, W.Y.: Hierarchical CVAE for fine-grained hate speech classification. In: Riloff, E., Chiang, D., Hockenmaier, J., Tsujii, J. (eds.) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp. 3550\u20133559. Association for Computational Linguistics, Brussels, Belgium (2018). https:\/\/doi.org\/10.18653\/v1\/D18-1391, https:\/\/aclanthology.org\/D18-1391","DOI":"10.18653\/v1\/D18-1391"},{"key":"8_CR31","unstructured":"Tifrea, A., B\u00e9cigneul, G., Ganea, O.E.: Poincar\u00e9 glove: Hyperbolic word embeddings (2018). ArXiv abs\/1810.06546, https:\/\/api.semanticscholar.org\/CorpusID:53116133"},{"key":"8_CR32","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Proceedings of the 31st International Conference on Neural Information Processing Systems, pp. 6000\u20136010. NIPS 2017, Curran Associates Inc., Red Hook, NY, USA (2017)"},{"key":"8_CR33","doi-asserted-by":"publisher","unstructured":"Waseem, Z.: Are you a racist or am I seeing things? annotator influence on hate speech detection on Twitter. In: Bamman, D., Do\u011fru\u00f6z, A.S., Eisenstein, J., Hovy, D., Jurgens, D., O\u2019Connor, B., Oh, A., Tsur, O., Volkova, S. (eds.) Proceedings of the First Workshop on NLP and Computational Social Science, pp. 138\u2013142. Association for Computational Linguistics, Austin, Texas (2016). https:\/\/doi.org\/10.18653\/v1\/W16-5618, https:\/\/aclanthology.org\/W16-5618","DOI":"10.18653\/v1\/W16-5618"},{"key":"8_CR34","doi-asserted-by":"publisher","unstructured":"Zhou, J., et al.: Towards identifying social bias in dialog systems: framework, dataset, and benchmark. In: Goldberg, Y., Kozareva, Z., Zhang, Y. (eds.) Findings of the Association for Computational Linguistics: EMNLP 2022, pp. 3576\u20133591. Association for Computational Linguistics, Abu Dhabi, United Arab Emirates (2022). https:\/\/doi.org\/10.18653\/v1\/2022.findings-emnlp.262, https:\/\/aclanthology.org\/2022.findings-emnlp.262","DOI":"10.18653\/v1\/2022.findings-emnlp.262"},{"key":"8_CR35","doi-asserted-by":"publisher","unstructured":"Zhou, X., et al.: Hate speech detection based on sentiment knowledge sharing. In: Zong, C., Xia, F., Li, W., Navigli, R. (eds.) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (volume 1: Long Papers), pp. 7158\u20137166. Association for Computational Linguistics, Online (2021). https:\/\/doi.org\/10.18653\/v1\/2021.acl-long.556, https:\/\/aclanthology.org\/2021.acl-long.556","DOI":"10.18653\/v1\/2021.acl-long.556"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-72350-6_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,18]],"date-time":"2024-09-18T12:16:42Z","timestamp":1726661802000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72350-6_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031723490","9783031723506"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72350-6_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"17 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lugano","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Switzerland","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":"17 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"33","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icann2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}