{"type":"ScholarlyArticle","title":"Towards Contextually Sensitive Analysis of Memes: Meme Genealogy and Knowledge Base","authors":[{"name":"Victoria Sherratt","slug":"victoria-sherratt","given":"Victoria","family":"Sherratt","affiliation":""}],"abstract":"As online communication grows, memes have continued to evolve and circulate as succinct multimodal forms of communication. However, computational approaches applied to meme-related tasks lack the same depth and contextual sensitivity of non-computational approaches and struggle to interpret intra-modal dynamics and referentiality. This research proposes to a ‘meme genealogy’ of key features and relationships between memes to inform a knowledge base constructed from meme-specific online sources and embed connotative meaning or contextual information in memes. The proposed methods provide a basis to train contextually sensitive computational models for analysing memes and applications in semi-automated meme annotation.","doi":"10.24963/ijcai.2022/838","url":"https://ijcai.org/proceedings/2022/838","pdf":"https://ijcai.org/proceedings/2022/0838.pdf","markdown":"https://ijcai.org/proceedings/2022/838.md","bibtex":"https://ijcai.org/proceedings/2022/bibtex/838","volume":{"slug":"2022","title":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2022","url":"https://ijcai.org/proceedings/2022/","year":2022,"location":"Vienna","dates":"23-29 July 2022","editors":"Luc De Raedt","isbn":"978-1-956792-00-3","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2022"},"section":"Doctoral Consortium","track":"Doctoral Consortium","number":838,"pages":{"first":5871,"last":5872},"keywords":["Speech & Natural Language Processing (SNLP): General","Knowledge Representation and Reasoning (KRR): General","Computer Vision (CV): General"],"videos":[],"references":[{"position":1,"raw":"[Barnes et al., 2021] Barnes, K., Riesenmy, T., Trinh, M.D., Lleshi, E., Balogh, N. & Molontay, R. (2021). Dank or not? Analyzing and predicting the popularity of memes on Reddit. Applied Network Science 6(21).","title":"Dank or not? Analyzing and predicting the popularity of memes on Reddit","authors":"K Barnes, T Riesenmy, M D Trinh, E Lleshi, N Balogh, R Molontay","year":"2021","venue":"Applied Network Science","doi":null,"url":null,"internal_url":null},{"position":2,"raw":"[Beskow et al., 2020] Beskow, D.M., Jumar, S. & Carley, K.M. (2020). The evolution of political memes: Detecting and characterizing internet memes with multi-modal deep learning. Information Processing and Management 57(2).","title":"The evolution of political memes: Detecting and characterizing internet memes with multi-modal deep learning","authors":"D M Beskow, S Jumar, K M Carley","year":"2020","venue":"Information Processing and Management","doi":null,"url":null,"internal_url":null},{"position":3,"raw":"[Kiela et al., 2021] Kiela, D., Firooz, H., Mohan, A., Gos- wami, V., Fitzpatrick, CA., Bull, P., Lipstein, G. & Nelli, T. (2021). The Hateful Memes Challenge: Competition Report. In Proceedings of the NeurIPS 2020 Competition and Demonstration Track, PMLR, 344-360.","title":"The Hateful Memes Challenge: Competition Report","authors":"D Kiela, H Firooz, A Mohan, V Goswami, C A Fitzpatrick, P Bull, G Lipstein, T Nelli","year":"2021","venue":"Proceedings of the NeurIPS 2020 Competition and Demonstration Track","doi":null,"url":null,"internal_url":null},{"position":4,"raw":"[Kirk et al., 2021] Kirk, H., Jun, Y., Rauba, P., Wachtel, G., Li, R., Bai, X., Broestl, B., Doff-Sotta, M., Shtedritski, A., & Asano, Y.M. Memes in the Wild: Assessing the Gener- alizability of the Hateful Memes Challenge Dataset. In Proceedings of the 5th Workshop on Online Abuse and Harms, Association for Computational Linguistics, 26-35 (Online), August 2021.","title":"Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset","authors":"H Kirk, Y Jun, P Rauba, G Wachtel, R Li, X Bai, B Broestl, M Doff-Sotta, A Shtedritski, Y M Asano","year":"2021","venue":"Proceedings of the 5th Workshop on Online Abuse and Harms, Association for Computational Linguistics","doi":null,"url":null,"internal_url":null},{"position":5,"raw":"[Peirson and Tolunary, 2018] Peirson, A.L. & Tolunary, E.M., (2018). Dank Learning: Generating Memes Using Deep Neural Networks. ArXiv abs/1806.04510","title":"Dank Learning: Generating Memes Using Deep Neural Networks","authors":"A L Peirson, E M Tolunary","year":"2018","venue":null,"doi":null,"url":null,"internal_url":null},{"position":6,"raw":"[Sadasivam et al., 2020] Sadasivam, A., Gunasekar, K., Davulcu, H., & Yang, Y. (2020). memeBot: Towards Au- tomatic Image Meme Generation. ArXiv, abs/2004.14571.","title":"memeBot: Towards Automatic Image Meme Generation","authors":"A Sadasivam, K Gunasekar, H Davulcu, Y Yang","year":"2020","venue":null,"doi":null,"url":null,"internal_url":null},{"position":7,"raw":"[Sharma et al., 2020] Sharma, C., Bhageria, D., Scott, W., PYLK, S., Das, A., Chakraborty. T., Pulabaigari, V. & Gamback, B. SemEval-2020 Task 8: Memotion Analysis- The Visuo-Lingual Metaphor! In Proceedings of the 14th International Workshop on Semantic Evaluation, Interna- tional Committee for Computational Linguistics, 759-773, Barcelona, Spain (Online), December 2020.","title":"SemEval-2020 Task 8: Memotion Analysis-The Visuo-Lingual Metaphor!","authors":"C Sharma, D Bhageria, W Scott, S Pylk, A Das, T Chakraborty, V Pulabaigari, B Gamback","year":"2020","venue":"Proceedings of the 14th International Workshop on Semantic Evaluation, International Committee for Computational Linguistics","doi":null,"url":null,"internal_url":null},{"position":8,"raw":"[Wang and Wen, 2015] Wang, W. and Wen, M. Can I haz Cheezburger? A Nonparanormal Approach to Combining Textual and Visual Information for Predicting and Gener- ating Popular Meme Descriptions. In Proceedings of the 2015 Conference of the North American Chapter for Com- putational Linguistics: Human Language Technolgoies, Association for Computational Linguistics, 355-365, Den- ver, Colorado, May-June 2015.","title":"Cheezburger? A Nonparanormal Approach to Combining Textual and Visual Information for Predicting and Generating Popular Meme Descriptions","authors":"W Wang, M Wen, I Can, Haz","year":"2015","venue":"Proceedings of the 2015 Conference of the North American Chapter for Computational Linguistics: Human Language Technolgoies, Association for Computational Linguistics","doi":null,"url":null,"internal_url":null}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}