{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T22:10:39Z","timestamp":1730326239821,"version":"3.28.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,4,30]]},"DOI":"10.1145\/3543507.3587427","type":"proceedings-article","created":{"date-parts":[[2023,4,26]],"date-time":"2023-04-26T23:30:51Z","timestamp":1682551851000},"page":"3868-3872","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Identifying Creative Harmful Memes via Prompt based Approach"],"prefix":"10.1145","author":[{"ORCID":"http:\/\/orcid.org\/0009-0009-2811-1865","authenticated-orcid":false,"given":"Junhui","family":"Ji","sequence":"first","affiliation":[{"name":"School of Computer Science, University of Sydney, Australia"}]},{"ORCID":"http:\/\/orcid.org\/0009-0005-3436-7438","authenticated-orcid":false,"given":"Wei","family":"Ren","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Sydney, Australia"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-0191-7171","authenticated-orcid":false,"given":"Usman","family":"Naseem","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Sydney, Australia"}]}],"member":"320","published-online":{"date-parts":[[2023,4,30]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Shaden Shaar, Hamed Firooz, and Preslav Nakov.","author":"Alam Firoj","year":"2021","unstructured":"Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da\u00a0San Martino, Shaden Shaar, Hamed Firooz, and Preslav Nakov. 2021. A survey on multimodal disinformation detection. arXiv preprint arXiv:2103.12541 (2021)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISDA.2009.230"},{"key":"e_1_3_2_1_3_1","volume-title":"Language models are few-shot learners. Advances in neural information processing systems 33","author":"Brown Tom","year":"2020","unstructured":"Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared\u00a0D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020), 1877\u20131901."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1239"},{"key":"e_1_3_2_1_5_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"e_1_3_2_1_8_1","volume-title":"Supervised multimodal bitransformers for classifying images and text. arXiv preprint arXiv:1909.02950","author":"Kiela Douwe","year":"2019","unstructured":"Douwe Kiela, Suvrat Bhooshan, Hamed Firooz, Ethan Perez, and Davide Testuggine. 2019. Supervised multimodal bitransformers for classifying images and text. arXiv preprint arXiv:1909.02950 (2019)."},{"key":"e_1_3_2_1_9_1","first-page":"2611","article-title":"The hateful memes challenge: Detecting hate speech in multimodal memes","volume":"33","author":"Kiela Douwe","year":"2020","unstructured":"Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Pratik Ringshia, and Davide Testuggine. 2020. The hateful memes challenge: Detecting hate speech in multimodal memes. Advances in Neural Information Processing Systems 33 (2020), 2611\u20132624.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1412.6980"},{"key":"e_1_3_2_1_11_1","volume-title":"Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features. arXiv preprint arXiv:2210.05916","author":"Kumar Gokul\u00a0Karthik","year":"2022","unstructured":"Gokul\u00a0Karthik Kumar and Karthik Nanadakumar. 2022. Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features. arXiv preprint arXiv:2210.05916 (2022)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.243"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.2201.12086"},{"key":"e_1_3_2_1_14_1","volume-title":"Visualbert: A simple and performant baseline for vision and language. arXiv preprint arXiv:1908.03557","author":"Li Liunian\u00a0Harold","year":"2019","unstructured":"Liunian\u00a0Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, and Kai-Wei Chang. 2019. Visualbert: A simple and performant baseline for vision and language. arXiv preprint arXiv:1908.03557 (2019)."},{"key":"e_1_3_2_1_15_1","volume-title":"prompt, and predict: A systematic survey of prompting methods in natural language processing. arXiv preprint arXiv:2107.13586","author":"Liu Pengfei","year":"2021","unstructured":"Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig. 2021. Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing. arXiv preprint arXiv:2107.13586 (2021)."},{"key":"e_1_3_2_1_16_1","volume-title":"Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks. Advances in neural information processing systems 32","author":"Lu Jiasen","year":"2019","unstructured":"Jiasen Lu, Dhruv Batra, Devi Parikh, and Stefan Lee. 2019. Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks. Advances in neural information processing systems 32 (2019)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","unstructured":"Shie Mannor Dori Peleg and Reuven Rubinstein. 2005. The cross entropy method for classification. 561\u2013568. https:\/\/doi.org\/10.1145\/1102351.1102422","DOI":"10.1145\/1102351.1102422"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570450"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","unstructured":"Fabio Petroni Tim Rockt\u00e4schel Patrick Lewis Anton Bakhtin Yuxiang Wu Alexander\u00a0H. Miller and Sebastian Riedel. 2019. Language Models as Knowledge Bases\u00bfhttps:\/\/doi.org\/10.48550\/ARXIV.1909.01066","DOI":"10.48550\/ARXIV.1909.01066"},{"key":"e_1_3_2_1_20_1","volume-title":"MOMENTA: A multimodal framework for detecting harmful memes and their targets. arXiv preprint arXiv:2109.05184","author":"Pramanick Shraman","year":"2021","unstructured":"Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md\u00a0Shad Akhtar, Preslav Nakov, and Tanmoy Chakraborty. 2021. MOMENTA: A multimodal framework for detecting harmful memes and their targets. arXiv preprint arXiv:2109.05184 (2021)."},{"key":"e_1_3_2_1_21_1","volume-title":"International Conference on Machine Learning. PMLR, 8748\u20138763","author":"Radford Alec","year":"2021","unstructured":"Alec Radford, Jong\u00a0Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, 2021. Learning transferable visual models from natural language supervision. In International Conference on Machine Learning. PMLR, 8748\u20138763."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","unstructured":"Alec Radford Jong\u00a0Wook Kim Chris Hallacy Aditya Ramesh Gabriel Goh Sandhini Agarwal Girish Sastry Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger and Ilya Sutskever. 2021. Learning Transferable Visual Models From Natural Language Supervision. https:\/\/doi.org\/10.48550\/ARXIV.2103.00020","DOI":"10.48550\/ARXIV.2103.00020"},{"key":"e_1_3_2_1_23_1","volume-title":"Hamed Firooz, Alon Halevy, Fabrizio Silvestri","author":"Sharma Shivam","year":"2022","unstructured":"Shivam Sharma, Firoj Alam, Md Akhtar, Dimitar Dimitrov, Giovanni Da\u00a0San Martino, Hamed Firooz, Alon Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty, 2022. Detecting and Understanding Harmful Memes: A Survey. arXiv preprint arXiv:2205.04274 (2022)."},{"key":"e_1_3_2_1_24_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.case-1.1"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.29"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547851"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICME52920.2022.9859654"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548306"}],"event":{"name":"WWW '23: The ACM Web Conference 2023","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Austin TX USA","acronym":"WWW '23"},"container-title":["Proceedings of the ACM Web Conference 2023"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3543507.3587427","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T19:57:08Z","timestamp":1709236628000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3543507.3587427"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,30]]},"references-count":30,"alternative-id":["10.1145\/3543507.3587427","10.1145\/3543507"],"URL":"https:\/\/doi.org\/10.1145\/3543507.3587427","relation":{},"subject":[],"published":{"date-parts":[[2023,4,30]]},"assertion":[{"value":"2023-04-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}