After Taiwan's legalization of same-sex marriage in 2019, LGBTQ+ communities continue to face hostility on social media. Using the lens of hermeneutical injustice and autonomy, we examine how technological conditions affect LGBTQ+ individuals' identity exploration, narrative seeking, and community resilience. We conducted a multi-stage study with Taiwanese LGBTQ+ individuals, including in-depth interviews, participatory design workshops, and evaluation sessions. Participants described fragile yet creative strategies such as seeking validation in online interactions, reframing hostile content through theory, and relying on allies. Building on these insights, we designed and evaluated a retrieval-augmented, LLM-powered chatbot with four modes of interaction: reflection, validation, discussion, and allyship. Findings show that the system fosters hermeneutical autonomy by helping participants reframe hostile narratives, validate lived experiences, and scaffold identity exploration, while reducing the hermeneutical labor of navigating social media hostility. We conclude by outlining design implications for AI systems that advance hermeneutical autonomy through fluid self-representation, contextualized dialogue, and inclusive community participation.

翻译：2019年台湾地区同性婚姻合法化后，LGBTQ+群体在社交媒体上仍持续面临敌意。我们运用诠释不公正与自主性理论视角，考察技术条件如何影响LGBTQ+个体的身份探索、叙事寻求及社群韧性。通过对台湾地区LGBTQ+个体开展多阶段研究（包括深度访谈、参与式设计工作坊及评估环节），参与者描述了脆弱却富有创造性的应对策略，例如在在线互动中寻求认同、运用理论重构敌意内容、以及依赖盟友支持。基于这些发现，我们设计并评估了一款检索增强型大语言模型聊天机器人，具备四种交互模式：反思、验证、讨论与盟友支持。研究结果表明，该系统通过帮助参与者重构敌意叙事、验证生活经验、搭建身份探索框架，有效促进诠释自主性，同时减轻了应对社交媒体敌意时的诠释负担。最后，我们提出AI系统的设计启示：通过流动的自我表征、情境化对话及包容性社群参与，推动诠释自主性的实现。