The (mis)use of Google Trends data in the social sciences - A systematic review, critique, and recommendations

Researchers increasingly use aggregated search data from Google Trends to study a wide range of phenomena. Although this new data source possesses some important practical and methodological benefits, it also carries substantial challenges with respect to internal validity, reliability, and generalizability. In this paper, we describe and assess the existing applied research with Google Trends data in the social sciences. We conduct a systematic literature review of 360 studies using Google Trends data to (1) illustrate habits and trends and (2) examine whether and how researchers take the identified challenges into account. The results show that the large majority of the literature fails to test the internal validity of their Google Trends measure, does not consider whether their data are reliable across samples, and does not discuss the generalizability of their results. We conclude by stating practical recommendations that will help researchers to address these issues and properly work with Google Trends data.

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Publication Details

Journal
Social Science Research
Published
2024-12-31
DOI
https://doi.org/10.1016/j.ssresearch.2024.103099
Citations
20
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
7.73

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article

The (mis)use of Google Trends data in the social sciences - A systematic review, critique, and recommendations

Florian Keusch, Christoph Sajons, Johanna Hölzl
20 citations
Social Science Research
Data-Driven Disease Surveillance
7.73
article

The (mis)use of Google Trends data in the social sciences - A systematic review, critique, and recommendations

Florian Keusch, Christoph Sajons, Johanna Hölzl
article en
20 citations

Abstract

Researchers increasingly use aggregated search data from Google Trends to study a wide range of phenomena. Although this new data source possesses some important practical and methodological benefits, it also carries substantial challenges with respect to internal validity, reliability, and generalizability. In this paper, we describe and assess the existing applied research with Google Trends data in the social sciences. We conduct a systematic literature review of 360 studies using Google Trends data to (1) illustrate habits and trends and (2) examine whether and how researchers take the identified challenges into account. The results show that the large majority of the literature fails to test the internal validity of their Google Trends measure, does not consider whether their data are reliable across samples, and does not discuss the generalizability of their results. We conclude by stating practical recommendations that will help researchers to address these issues and properly work with Google Trends data.

Social Science ResearchVol. 126
University of Mannheim (DE)
Fritz Thyssen Stiftung
Openalex Percentile: Top 2%
Data-Driven Disease Surveillance
7.73
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