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<p>Search engine data, such as that provided by Google Trends, offers great research potential for many scientific fields. Google Trends analyses are already widely used to research and compare the popularity of search terms or topics through their relative search volumes. The present study identifies and discusses existing limitations of Google Trends data through illustrative examples, suggests possible solutions to these, and tries to broaden researcher perspectives of search engine data by demonstrating that there are numerous potential areas of application. The results show that, despite certain limitations, Google Trends provides a cost-effective and rapid way of sampling and analysing a very large database, which could benefit even more from improvements such as increased comparability. While being an important tool to document the origin and rise of new search topics and terms almost in real time.</p>

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Setting trends with google: limits and perspectives when utilising search engine data

  • 期刊论文

  • 发表日期：

    2025年10月13日

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  • Steffen Springer,
  • Artur Strzelecki,
  • Branden Holmes,
  • Janine M. Ziermann-Canabarro,
  • Martin Kaatz,
  • Michael Zieger

摘要

Search engine data, such as that provided by Google Trends, offers great research potential for many scientific fields. Google Trends analyses are already widely used to research and compare the popularity of search terms or topics through their relative search volumes. The present study identifies and discusses existing limitations of Google Trends data through illustrative examples, suggests possible solutions to these, and tries to broaden researcher perspectives of search engine data by demonstrating that there are numerous potential areas of application. The results show that, despite certain limitations, Google Trends provides a cost-effective and rapid way of sampling and analysing a very large database, which could benefit even more from improvements such as increased comparability. While being an important tool to document the origin and rise of new search topics and terms almost in real time.