All Changes May Have Invariant Principles: Improving Ever-Shifting Harmful Meme Detection via Design Concept Reproduction
Ziyou Jiang · Mingyang Li · Junjie Wang · Yuekai Huang · Jie Huang · Zhiyuan Chang · Zhaoyang Li · Qing Wang
摘要
Harmful memes are ever-shifting in the Internet communities, which are difficult to analyze due to their type-shifting and temporal-evolving nature. Although these memes are shifting, we find that different memes may share invariant principles, i.e., the underlying design concept of malicious use...