Financial events negatively affect emotional well-being, but large-scale studies examining their impact on online emotional expression using real-time social media data remain limited. To address this gap, we propose analyzing Reddit communities (financial and non-financial) across two case studies: a financial crash and a boom. We investigate how emotional and psycholinguistic responses differ between financial and non-financial communities, and the extent to which the type of financial event affects user behavior during the two case study periods. To examine the effect of these events on expressed language, we analyze daily sentiment, emotion, and LIWC counts using quasi-experimental methods: Difference-in-Differences (DiD) and Causal Impact analyses during a financial boom and a financial crash. Overall, we find coherent, negative shifts in emotional responses during financial crashes, but weaker, mixed responses during booms, consistent with loss aversion. By exploring emotional and psycholinguistic expressions during financial events, we identify future implications for understanding online users' mental health and building connected, healthy communities.

翻译：金融事件对情绪健康产生负面影响，但利用实时社交媒体数据考察其对在线情绪表达影响的大规模研究仍然有限。为填补这一空白，我们提出通过两个案例研究（一次金融崩盘和一次繁荣期）分析Reddit社区（金融类与非金融类）。我们探究金融与非金融社区在情绪及心理语言学反应上的差异，以及金融事件类型在多大程度上影响两个案例研究期间的用户行为。为检验这些事件对语言表达的影响，我们采用准实验方法——双重差分法和因果影响分析，对金融繁荣期与崩盘期的每日情感倾向、情绪及LIWC词频进行量化分析。总体而言，我们发现金融崩盘期间情绪反应呈现一致且负面的转变，而繁荣期的反应则较弱且呈现混合特征，这与损失厌恶理论相一致。通过探索金融事件期间的情绪与心理语言学表达，我们为理解在线用户的心理健康及构建互联的健康社区指明了未来研究方向。