TY  - JOUR
PY  - 2014//
TI  - Psychological and social factors affecting internet searches on suicide in Korea: A big data analysis of Google search trends
JO  - Yonsei medical journal
A1  - Song, Tae Min
A1  - Song, Juyoung
A1  - An, Ji-Young
A1  - Hayman, Laura L.
A1  - Woo, Jong-Min
SP  - 254
EP  - 263
VL  - 55
IS  - 1
N2  - Purpose: The average mortality rate for death by suicide among OECD countries is 12.8 per 100000, and 33.5 for Korea. The present study analyzed big data extracted from Google to identify factors related to searches on suicide in Korea. Materials and METHODS: Google search trends for the search words of suicide, stress, exercise, and drinking were obtained for 2004-2010. Analyzing data by month, the relationship between the actual number of suicides and search words per year was examined using multi-level models. RESULTS: Both suicide rates and Google searches on suicide in Korea increased since 2007. An unconditional slope model indicated stress and suicide-related searches were positively related. A conditional model showed that factors associated with suicide by year directly affected suicide-related searches. The interaction between stress-related searches and the actual number of suicides was significant. CONCLUSION: A positive relationship between stress- and suicide-related searches further confirmed that stress affects suicide. Taken together and viewed in context of the big data analysis, our results point to the need for a tailored prevention program. Real-time big data can be of use in indicating increases in suicidality when search words such as stress and suicide generate greater numbers of hits on portals and social network sites.<p />  <p>Language: en</p>
LA  - en
SN  - 0513-5796
UR  - http://dx.doi.org/10.3349/ymj.2014.55.1.254
ID  - ref1
ER  -