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Low validity of Google Trends for behavioral forecasting of national suicide rates

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  • Ulrich S Tran
  • Rita Andel
  • Thomas Niederkrotenthaler
  • Benedikt Till
  • Vladeta Ajdacic-Gross
  • Martin Voracek

Abstract

Recent research suggests that search volumes of the most popular search engine worldwide, Google, provided via Google Trends, could be associated with national suicide rates in the USA, UK, and some Asian countries. However, search volumes have mostly been studied in an ad hoc fashion, without controls for spurious associations. This study evaluated the validity and utility of Google Trends search volumes for behavioral forecasting of suicide rates in the USA, Germany, Austria, and Switzerland. Suicide-related search terms were systematically collected and respective Google Trends search volumes evaluated for availability. Time spans covered 2004 to 2010 (USA, Switzerland) and 2004 to 2012 (Germany, Austria). Temporal associations of search volumes and suicide rates were investigated with time-series analyses that rigorously controlled for spurious associations. The number and reliability of analyzable search volume data increased with country size. Search volumes showed various temporal associations with suicide rates. However, associations differed both across and within countries and mostly followed no discernable patterns. The total number of significant associations roughly matched the number of expected Type I errors. These results suggest that the validity of Google Trends search volumes for behavioral forecasting of national suicide rates is low. The utility and validity of search volumes for the forecasting of suicide rates depend on two key assumptions (“the population that conducts searches consists mostly of individuals with suicidal ideation”, “suicide-related search behavior is strongly linked with suicidal behavior”). We discuss strands of evidence that these two assumptions are likely not met. Implications for future research with Google Trends in the context of suicide research are also discussed.

Suggested Citation

  • Ulrich S Tran & Rita Andel & Thomas Niederkrotenthaler & Benedikt Till & Vladeta Ajdacic-Gross & Martin Voracek, 2017. "Low validity of Google Trends for behavioral forecasting of national suicide rates," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-26, August.
  • Handle: RePEc:plo:pone00:0183149
    DOI: 10.1371/journal.pone.0183149
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    Cited by:

    1. Zoltán Kmetty & Károly Bozsonyi, 2022. "Identifying Depression-Related Behavior on Facebook—An Experimental Study," Social Sciences, MDPI, vol. 11(3), pages 1-19, March.
    2. Livio Fenga, 2020. "Filtering and prediction of noisy and unstable signals: The case of Google Trends data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 281-295, March.
    3. Joana M. Barros & Ruth Melia & Kady Francis & John Bogue & Mary O’Sullivan & Karen Young & Rebecca A. Bernert & Dietrich Rebholz-Schuhmann & Jim Duggan, 2019. "The Validity of Google Trends Search Volumes for Behavioral Forecasting of National Suicide Rates in Ireland," IJERPH, MDPI, vol. 16(17), pages 1-18, September.

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