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Examining the Relationship Between Past Orientation and US Suicide Rates: An Analysis Using Big Data-Driven Google

Donghyun Lee1, Hojun Lee, Munkee Choi

  • 1Korea Advanced Institute of Science and Technology, Graduate School of Innovation and Technology Management, Daejeon, Republic Of Korea.

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Summary
This summary is machine-generated.

Internet search query data can predict suicide rates. Increased past orientation, measured by Google searches, correlates positively with higher suicide rates, highlighting a significant public health concern.

Keywords:
Google search queryInternet searchattitudebig datapast orientationsuicide

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Area of Science:

  • Public Health
  • Data Science
  • Psychology

Background:

  • Internet search query data can reveal user attitudes and predispositions.
  • Past orientation, reflected in search queries, is linked to suicide risk factors.

Purpose of the Study:

  • To investigate the relationship between past orientation and suicide rates using Google search query data.

Main Methods:

  • Measured past orientation by comparing search volumes for past vs. future years (2004-2012) across US states.
  • Utilized panel data, control variables, and multiple ordinary least squares regression analysis.

Main Results:

  • A significant positive relationship was found between past orientation and suicide rates (P ≤ .001).
  • Unemployment rate, Gini coefficient, and population growth rate also positively correlated with suicide rates.
  • Gross state product showed a negative relationship with suicide rates.

Conclusions:

  • Empirically confirmed a positive association between suicide rates and past orientation.
  • Big data-driven Google search query analysis provides a novel method for measuring this relationship.