TY - JOUR AU - Lin, Chi-Chin AU - Huang, Yi-Ching AU - Hsu, Jane Yung-jen PY - 2014/09/05 Y2 - 2024/03/28 TI - Crowdsourced Explanations for Humorous Internet Memes Based on Linguistic Theories JF - Proceedings of the AAAI Conference on Human Computation and Crowdsourcing JA - HCOMP VL - 2 IS - 1 SE - Research Papers DO - 10.1609/hcomp.v2i1.13169 UR - https://ojs.aaai.org/index.php/HCOMP/article/view/13169 SP - 143-150 AB - <p> Humorous images can be seen in many social media websites. However, newcomers to these websites often have trouble fitting in because the community subculture is usually implicit. Among all the types of humorous images, Internet memes are relatively hard for newcomers to understand. In this work, we develop a system that leverages crowdsourcing techniques to generate explanations for memes. We claim that people who are not familiar with Internet meme subculture can still quickly pick up the gist of the memes by reading the explanations. Our template-based explanations illustrate the incongruity between normal situations and the punchlines in jokes. The explanations can be produced by completing the two proposed human task processes. Experimental results suggest that the explanations produced by our system greatly help newcomers to understand unfamiliar memes. For further research, it is possible to employ our explanation generation system to improve computational humanities. </p> ER -