Are Gains Quiet and Losses Loud? Emotional Responses to Financial Booms and Crashes Online
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arXiv
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| Format: | Preprint |
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2026
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| author | Kapadia, Aryan Ramchandra Bhattacharjee, Niharika Jia, Mung Yao Gupta, Ishq Wang, Dong Saha, Koustuv |
| author_facet | Kapadia, Aryan Ramchandra Bhattacharjee, Niharika Jia, Mung Yao Gupta, Ishq Wang, Dong Saha, Koustuv |
| contents | 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. By exploring emotional and psycholinguistic expressions during financial events, we identify future implications for understanding online users' mental health and building connected, healthy communities. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_14423 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Are Gains Quiet and Losses Loud? Emotional Responses to Financial Booms and Crashes Online Kapadia, Aryan Ramchandra Bhattacharjee, Niharika Jia, Mung Yao Gupta, Ishq Wang, Dong Saha, Koustuv Human-Computer Interaction Social and Information Networks 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. By exploring emotional and psycholinguistic expressions during financial events, we identify future implications for understanding online users' mental health and building connected, healthy communities. |
| title | Are Gains Quiet and Losses Loud? Emotional Responses to Financial Booms and Crashes Online |
| topic | Human-Computer Interaction Social and Information Networks |
| url | https://arxiv.org/abs/2601.14423 |