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This research examines the public reaction on social media, specifically through Naver blog postings, to the Interpark personal information leak incident from July 25 to August 31, 2016. Over the 37-day period, blog postings were collected and analyzed using topic modeling and clustering techniques to identify and track the evolution of key topics. The analysis revealed that the number of postings peaked the day after the incident was reported, with a gradual decline in the number of postings over time. The main topics identified through topic modeling included hacking, personal information leaks, legal actions related to the incident, and suspicions of North Korean involvement, among others. These topics reflected the public
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Seo et al. (2024) studied this question.
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