A Tweet Data Analysis for Detecting Emerging Operational Risks

Operational risk (OpRisk) is emerging as a crucial non financial consideration with widespread implications for financial institutions. Shifting away from traditional regulatory tasks, including data collection, capital requirement calculations, and report generation for managerial decisions, OpRisk functions are now adopting proactive strategies to prevent or mitigate risks. The integration of Artificial Intelligence techniques, increasingly essential for managerial insights, is utilized to glean additional information from data. This study propels the utilization of text analysis techniques in the context of OpRisk. A pioneering dimension involves examining pertinent tweet content from social media X for the continuous monitoring of the evolving risk landscape, aiming to identify early warnings about new types of potentially risky events.