Abstract
This research involved the extensive collection and refinement of tweets related to the 10·29 Itaewon Tragedy, followed by analysis using DMR topic modeling. Through model validation, the optimal number of topics was determined to be 15, clustered into seven groups: informational, emotional, government criticism, political confrontation, secondary harm, empathetic responses, and miscellaneous. Examining the temporal distribution of topics revealed a decrease in the weight of topics such as 'Lack of government preparedness,' 'Accountability for the disaster,' and 'Condolences and memorials for victims' over time, while topics like 'Controversy over disrespect for victims' families' and 'Anger and Blame' increased. Further, dividing the overall period into three phases demonstrated variations in topic weights. Compared to the 'Mourning' phase, the 'Investigation' and 'Parliamentary Inquiry' phases indicated an increase in the weight of topics related to 'Investigation and detainment of those responsible' and 'Demand for the truth about the disaster.' The research concludes by discussing the implications for the politicization of disasters and community recovery.
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