The 2024 Bluebird Movement in Taiwan marked one of the largest youth-led protests in the country's democratic history, mobilizing over 100,000 demonstrators in response to parliamentary reforms. Unlike the 2014 Sunflower Movement, Bluebird unfolded within a transformed digital environment dominated by Threads, Meta's new microblogging platform that$\unicode{x2013}$uniquely$\unicode{x2013}$draws 24% of its global traffic from Taiwan. Leveraging a dataset of 62,321 posts and 21,572 images, this study analyzes how protest communication developed across textual and visual modalities. We combine LLM zero-shot annotation, gradient-boosting trees, and SHAP explainers to disambiguate the supply and demand of attention. Results reveal three dynamics: (1) partisan asymmetries between algorithmic exposure and user endorsement, with anti-DPP content surfaced more widely but anti-KMT and pro-DPP content more actively recirculated; (2) textual repertoires centered on commemorations, personal testimonies, and calls to action as key drivers of virality; and (3) a bifurcation in visual strategies, where human photographs concentrated exposure and discussion, while AI-generated animal and plant symbols circulated as mobilization tools and partisan attacks. These findings demonstrate how Threads functioned as both an amplifier and filter of democratic contention, extending theories of emotional and visual contagion by showing how generative AI reshapes symbolic repertoires in contemporary protest through what we term kawaii toxicity$\unicode{x2013}$political attacks cloaked in aesthetics of cuteness.

翻译：2024年台湾蓝鸟运动标志着该国民主史上规模最大的青年主导抗议活动之一，为回应国会改革动员了超过十万名示威者。与2014年太阳花运动不同，蓝鸟运动在由Threads主导的数字化环境中展开——Meta旗下新型微博客平台Threads的全球流量中有24%独特地来自台湾。本研究基于62,321条帖文与21,572张图像数据集，分析抗议传播如何通过文本与视觉模态展开。我们结合LLM零样本标注、梯度提升树与SHAP解释器，对注意力供给与需求进行解耦分析。研究结果揭示三重动态：(1)算法曝光与用户认同间的党派不对称性：反民进党内容获得更广泛曝光，而反国民党与亲民进党内容被更主动地二次传播；(2)以纪念活动、个人证词与行动号召为核心的文本策略成为病毒式传播的关键驱动力；(3)视觉策略呈现二元分化：人类照片集中引发曝光与讨论，而AI生成的动植物符号则作为动员工具与党派攻击手段进行传播。这些发现表明Threads如何同时充当民主争议的放大器与过滤器，通过我们称之为"可爱毒性"的现象——即裹挟可爱美学外衣的政治攻击，揭示生成式AI如何重塑当代抗议的符号策略体系，从而拓展了情感与视觉传染理论。