紙上印刷；6.3x8.8公分 x10件
十張模仿交換卡片遊戲設計的男性角色卡，其圖片和文字主要為人工智慧（AI）生成。這些角色影射 2025 年「南京阿紅事件」中十名廣受討論的受害者。
「南京阿紅事件」是一起犯罪案件，化名「阿紅」的 38 歲男性長期男扮女裝誘騙男性發生性行為，偷拍過程並販售影片。由於其犯罪手法和受害者數量（據稱數百人），此案在包含中國、馬來西亞、新加坡、台灣、泰國、越南等國都引起關注——然而，不同於受害者為女性的性犯罪事件，眾多新聞和網友以戲謔方式回應，從扮演加害者、排行受害者帥度、到製作相關迷因和搞笑影片。
作品藉遊戲形式，戲仿這種普遍的、面對男性性犯罪受害者的態度，渲染當中的荒誕和麻木不仁。其製作工具（AI）呼應整個情況的「源於眾人」和「隱形受害者眾多」特徵，前者指涉 AI 學習自人們行為的資料並產出，後者指涉資料提供者鮮少先行知情並同意。
／
Printing on paper; 6.3x8.8(cm) x10pcs
Ten male character cards imitating the design of card exchange game, with images and text mainly generated by artificial intelligence (AI). These characters insinuate the ten widely discussed victims in the “Nanjing Sister Hong incident” in 2025.
The “Nanjing Sister Hong incident” is a criminal incident in which a 38-year-old man, aka Sister Hong, has long dressed as a woman to lure men into sex, secretly film the process and sell the video. Due to its criminal methods and the number of victims (allegedly hundreds), this case has attracted attention in countries including China, Malaysia, Singapore, Taiwan, Thailand, and Vietnam—however, unlike sexual crimes where the victims are female, many news and netizens responded in a mocking way, from role-playing the perpetrator, ranking the victim’s appearance, to making related memes and prank videos.
Through the form of game, the work parodies this common attitude towards male sexual crime victims, exaggerating the absurdity and callousness. Its production tool (AI) echos the “originating from the crowd” and “many invisible victims” characteristics of the entire situation; the former refers to the fact that machine learns from data people produced while the latter refers to the fact that the data providers rarely know and agree in advance.