Abstract
In this study, we examined the relationship between internet news reports of celebrity suicides and public's online reactions. We used big data from news reports and social media related with the first and most recent suicides of two idols since the revision of the suicide Reporting Guidelines 3.0. About 14,000 data were collected by TEXTOM, and TF-IDF and CONCOR analyses were conducted on the collected data. The analysis showed that, first, such terms as “suicide” or suicidal language that might pose a risk were not found in the titles and content of internet news reports after Suicide Reporting Guideline 3.0 was released, but the recommendation encouraging the inclusion of suicide prevention-related content was not followed. Second, we found that the internet news and online reactions showed similar patterns, with similar clustering at each time point, i.e., when sensitive information appeared many times in internet news, similar sensitive information appeared in the online responses. Based on the findings, we made practical suggestions for suicide prevention.
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