Paper Type
Complete
Paper Number
1362
Description
The collapse of the global cryptocurrency exchange FTX (Futures Exchange), has left an indelible mark on the economy and caused emotional waves within online communities. This paper explores the dynamics of emotional contagion in the aftermath of the FTX Collapse. It employs the Computationally Intensive Theory Construction framework. It introduces a novel approach using EmoRoBERTa model with class balancing to extract emotions from YouTube comments, and epidemiology (SIR, SIRS, SEIR, and SEIRS) to model emotional contagion. Our research leverages the time dimension to construct the “Slow vs Fast and Short vs Long” contagious emotions concept to recommend epidemiological models for emotional contagion. This concept describes the rapid fear spike observed at the event's start and the longer-lasting positive emotion contagion. Based on our findings, we propose that additional influences, such as social norms, play a key role in emotional contagion.
Recommended Citation
Kok-Shun, Brice Valentin; Chan, Johnny; Peko, Gabrielle; and Sundaram, David, "Epidemiology of Online Emotions: Emotion Detection and Contagion Modelling of the FTX Collapse" (2024). PACIS 2024 Proceedings. 1.
https://aisel.aisnet.org/pacis2024/track17_socmedia/track17_socmedia/1
Epidemiology of Online Emotions: Emotion Detection and Contagion Modelling of the FTX Collapse
The collapse of the global cryptocurrency exchange FTX (Futures Exchange), has left an indelible mark on the economy and caused emotional waves within online communities. This paper explores the dynamics of emotional contagion in the aftermath of the FTX Collapse. It employs the Computationally Intensive Theory Construction framework. It introduces a novel approach using EmoRoBERTa model with class balancing to extract emotions from YouTube comments, and epidemiology (SIR, SIRS, SEIR, and SEIRS) to model emotional contagion. Our research leverages the time dimension to construct the “Slow vs Fast and Short vs Long” contagious emotions concept to recommend epidemiological models for emotional contagion. This concept describes the rapid fear spike observed at the event's start and the longer-lasting positive emotion contagion. Based on our findings, we propose that additional influences, such as social norms, play a key role in emotional contagion.
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