{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,24]],"date-time":"2025-08-24T00:07:06Z","timestamp":1755994026914,"version":"3.44.0"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032024053","type":"print"},{"value":"9783032024060","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,8,24]],"date-time":"2025-08-24T00:00:00Z","timestamp":1755993600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,24]],"date-time":"2025-08-24T00:00:00Z","timestamp":1755993600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-02406-0_15","type":"book-chapter","created":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T09:26:07Z","timestamp":1755941167000},"page":"208-222","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["When Humor Crosses the\u00a0Line: Decoding Offensiveness in\u00a0Meme-Ads Through Language Model Reasoning"],"prefix":"10.1007","author":[{"family":"Shambhavi","sequence":"first","affiliation":[]},{"given":"Dipika","family":"Jha","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8873-8258","authenticated-orcid":false,"given":"Raju","family":"Halder","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,8,24]]},"reference":[{"key":"15_CR1","unstructured":"Achiam, J., et\u00a0al.: GPT-4 technical report. arXiv preprint arXiv:2303.08774 (2023)"},{"key":"15_CR2","first-page":"23716","volume":"35","author":"JB Alayrac","year":"2022","unstructured":"Alayrac, J.B., et al.: Flamingo: a visual language model for few-shot learning. Adv. Neural. Inf. Process. Syst. 35, 23716\u201323736 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"15_CR3","unstructured":"Altoe, F., Burel, G., Pinto, S.M.G., Alani, H., Pinto, H.S.: Towards AI-mediated meme generation for misinformation correction explanation. In: 1st Multimodal, Affective and Interactive eXplainable AI Workshop, MAI-XAI24 2024, vol.\u00a03803, pp. 61\u201376 (2024). https:\/\/ceur-ws.org\/Vol-3803\/paper5.pdf"},{"key":"15_CR4","doi-asserted-by":"crossref","unstructured":"Cao, R., Hee, M.S., Kuek, A., Chong, W.H., Lee, R.K.W., Jiang, J.: Pro-cap: leveraging a frozen vision-language model for hateful meme detection. In: Proceedings of the 31st ACM International Conference on Multimedia, pp. 5244\u20135252 (2023)","DOI":"10.1145\/3581783.3612498"},{"key":"15_CR5","doi-asserted-by":"crossref","unstructured":"Cao, R., Lee, R.K.W., Chong, W.H., Jiang, J.: Prompting for multimodal hateful meme classification. arXiv preprint arXiv:2302.04156 (2023)","DOI":"10.18653\/v1\/2022.emnlp-main.22"},{"key":"15_CR6","unstructured":"Das, A., Wahi, J.S., Li, S.: Detecting hate speech in multi-modal memes. arXiv preprint arXiv:2012.14891 (2020)"},{"key":"15_CR7","doi-asserted-by":"crossref","unstructured":"Hee, M.S., Chong, W.H., Lee, R.K.W.: Decoding the underlying meaning of multimodal hateful memes. arXiv preprint arXiv:2305.17678 (2023)","DOI":"10.24963\/ijcai.2023\/665"},{"key":"15_CR8","doi-asserted-by":"crossref","unstructured":"Hee, M.S., Kumaresan, A., Lee, R.K.W.: Bridging modalities: Enhancing cross-modality hate speech detection with few-shot in-context learning. arXiv preprint arXiv:2410.05600 (2024)","DOI":"10.18653\/v1\/2024.emnlp-main.445"},{"key":"15_CR9","doi-asserted-by":"crossref","unstructured":"Hee, M.S., Lee, R.K.W., Chong, W.H.: On explaining multimodal hateful meme detection models. In: Proceedings of the ACM Web Conference 2022, pp. 3651\u20133655 (2022)","DOI":"10.1145\/3485447.3512260"},{"key":"15_CR10","doi-asserted-by":"crossref","unstructured":"Ji, J., Ren, W., Naseem, U.: Identifying creative harmful memes via prompt based approach. In: Proceedings of the ACM Web Conference 2023, pp. 3868\u20133872 (2023)","DOI":"10.1145\/3543507.3587427"},{"key":"15_CR11","unstructured":"Kiela, D., Bhooshan, S., Firooz, H., Perez, E., Testuggine, D.: Supervised multimodal bitransformers for classifying images and text. arXiv preprint arXiv:1909.02950 (2019)"},{"key":"15_CR12","first-page":"2611","volume":"33","author":"D Kiela","year":"2020","unstructured":"Kiela, D., et al.: The hateful memes challenge: Detecting hate speech in multimodal memes. Adv. Neural. Inf. Process. Syst. 33, 2611\u20132624 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"15_CR13","doi-asserted-by":"crossref","unstructured":"Kirk, H.R., et al.: Memes in the wild: assessing the generalizability of the hateful memes challenge dataset. arXiv preprint arXiv:2107.04313 (2021)","DOI":"10.18653\/v1\/2021.woah-1.4"},{"key":"15_CR14","doi-asserted-by":"crossref","unstructured":"Lee, R.K.W., Cao, R., Fan, Z., Jiang, J., Chong, W.H.: Disentangling hate in online memes. In: Proceedings of the 29th ACM International Conference on Multimedia, pp. 5138\u20135147 (2021)","DOI":"10.1145\/3474085.3475625"},{"key":"15_CR15","doi-asserted-by":"crossref","unstructured":"Lin, H., Luo, Z., Ma, J., Chen, L.: Beneath the surface: unveiling harmful memes with multimodal reasoning distilled from large language models. arXiv preprint arXiv:2312.05434 (2023)","DOI":"10.18653\/v1\/2023.findings-emnlp.611"},{"key":"15_CR16","unstructured":"Liu, Y., et al.: Roberta: a robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692 (2019)"},{"key":"15_CR17","unstructured":"McCrae, J.: Meme marketing: how brands are speaking a new consumer language. Forbes, May8, 2017 (2017)"},{"key":"15_CR18","doi-asserted-by":"crossref","unstructured":"Pramanick, S., et al.: Detecting harmful memes and their targets. arXiv preprint arXiv:2110.00413 (2021)","DOI":"10.18653\/v1\/2021.findings-acl.246"},{"key":"15_CR19","doi-asserted-by":"crossref","unstructured":"Pramanick, S., Sharma, S., Dimitrov, D., Akhtar, M.S., Nakov, P., Chakraborty, T.: Momenta: a multimodal framework for detecting harmful memes and their targets. arXiv preprint arXiv:2109.05184 (2021)","DOI":"10.18653\/v1\/2021.findings-emnlp.379"},{"key":"15_CR20","unstructured":"Radford, A., et\u00a0al.: Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning, pp. 8748\u20138763. PmLR (2021)"},{"key":"15_CR21","unstructured":"Suryawanshi, S., Chakravarthi, B.R., Arcan, M., Buitelaar, P.: Multimodal meme dataset (multioff) for identifying offensive content in image and text. In: Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying, pp. 32\u201341 (2020)"},{"key":"15_CR22","unstructured":"Van, M.H., Wu, X.: Detecting and correcting hate speech in multimodal memes with large visual language model. arXiv preprint arXiv:2311.06737 (2023)"},{"key":"15_CR23","doi-asserted-by":"crossref","unstructured":"Voutsa, M.C.: Disparaging humorous advertising: a bibliometric review. J. Mark. Commun. 1\u201325 (2024)","DOI":"10.1080\/13527266.2024.2397648"},{"key":"15_CR24","doi-asserted-by":"crossref","unstructured":"Yuen, K., Zou, J., Uchida, K.: Generalized dino: dino via multimodal models for generalized object detection. In: Proceedings of the 3rd International Conference on Computer, Artificial Intelligence and Control Engineering, pp. 776\u2013783 (2024)","DOI":"10.1145\/3672758.3672887"},{"key":"15_CR25","unstructured":"Zhang, W., Liu, G., Li, Z., Zhu, F.: Hateful memes detection via complementary visual and linguistic networks. arXiv preprint arXiv:2012.04977 (2020)"},{"key":"15_CR26","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Chen, Z., Yang, H.: Multimodal learning for hateful memes detection. In: 2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), pp.\u00a01\u20136. IEEE (2021)","DOI":"10.1109\/ICMEW53276.2021.9455994"},{"key":"15_CR27","doi-asserted-by":"crossref","unstructured":"Zhu, J., Lee, R.K.W., Chong, W.H.: Multimodal zero-shot hateful meme detection. In: Proceedings of the 14th ACM Web Science Conference 2022, pp. 382\u2013389 (2022)","DOI":"10.1145\/3501247.3531557"}],"container-title":["Lecture Notes in Computer Science","Computer Information Systems and Industrial Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-02406-0_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T09:26:14Z","timestamp":1755941174000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-02406-0_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,24]]},"ISBN":["9783032024053","9783032024060"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-02406-0_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,24]]},"assertion":[{"value":"24 August 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CISIM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computer Information Systems and Industrial Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Fukuoka","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cisim2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/pb.edu.pl\/cisim\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}