A Crisis that Began with a Tweet: Temporal and Thematic Analysis of Social Media Sentiment Dynamics in Financial Collapse Processes

September 17, 2025Open Access

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This study aims to examine the impact of financial crises on social media sentiment and how user perceptions can be analyzed through sentiment analysis methods.
Analyzed microblog content using VADER and FinBERT sentiment analysis models.
Focused on social media expressions surrounding the 2023 U.S. bank collapses.
Investigated changes in sentiment before and during financial crises.
Significant increase in negative sentiment intensity was observed just before the crisis.
Findings support the notion that social media sentiment can serve as an early warning sign of crises.
Demonstrated potential application of sentiment analysis both before and after crisis events.

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Temporal analysis reveals social media sentiment as an early warning signal for financial crises.

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Kahraman et al. (2025) studied this question.

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