- Postcolonial Island (插画/在线平台)
- Tonglu (宣传片/影视制作)
- Computational Equalities (交互设计/机器学习)
- One-off Character-Renting (插画/网页设计)
- I Really Want To Love This World (微电影)
- If There Was A Hug (儿童绘本)
- Digital Sexual Violence (平面设计/网页)
- Commercial Advertisement (广告制作/CG动画)
- Human Rights And Computation (系列漫画)
- Chatbot (聊天机器人)
- Brain Maze (丙烯绘画)
- Taro (定格动画)
- Pink Peckii (互动装置)
With the adyent of the new age of the Internet and information media, hate speech has come to the toretront of cyber violence. Today, there is a proliferation of online social media that incites racial hatred through sound, images, text, or gestures. In some cultures, specific hand signs have symbolic meanings, and their use may involve postcolonial-related issues of power, culture, and identity. Hate on Display is based on machine learning and categorised databases into three types: Asian Hate, White Supremacy, and Antisemilism, using tracking body movement approaches to recognize racist hand signs on the Internet, deepening the study of approaches based on representation with hand signs.
随着互联网和信息媒体新时代的到来，仇恨言论已经成为网络暴力的前沿。如今，通过声音、图像、文字或手势煽动种族仇恨的在线社交媒体激增。在某些文化中，特定的手势具有象征意义，它们的使用可能涉及与后殖民相关的权力、文化和身份问题。“展示仇恨”基于机器学习，并将数据库分为三种类型:亚洲仇恨、白人至上主义和反犹太主义，使用跟踪身体运动的方法来识别互联网上的种族主义手势，深化了基于手势表示的方法的研究。