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Replication Code: Gummer & Oehrlein (2024): "Using Google Trends Data to Study High-Frequency Search Terms: Evidence for a Reliability-Frequency Continuum." Social Science Computer Review

Gummer, Tobias; Oehrlein, Anne-Sophie
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2748
Abstract: Based on the data and the syntax file, the results reported in the cited article can be replicated. Google Trends (GT) data are increasingly used in the social sciences and adjacent fields. However, previous research on the quality of GT data has raised concerns regarding their reliability. In the present study, we investigated whether reliability differs between low- and high-frequency search terms. In other words, we explored the existence of a reliability-frequency continuum in GT data. Our study adds to previous research by investigating a more comprehensive set of search terms and differ ... more
Availability: Free access (with registration)
Subject area: Sociology

Bibliographic information

Primärforschende, Institution: Gummer, Tobias; GESIS - Leibniz Institut für Sozialwissenschaften | Oehrlein, Anne-Sophie; GESIS - Leibniz Institut für Sozialwissenschaften
Publication year: 2024
DOI: 10.7802/2748
Study number: SDN-10.7802-2748
Publisher: GESIS, Cologne

Versions

Current Version: 1.0.0, https://doi.org/10.7802/2748

Cite

Gummer, Tobias, & Oehrlein, Anne-Sophie (2024). Replication Code: Gummer & Oehrlein (2024): "Using Google Trends Data to Study High-Frequency Search Terms: Evidence for a Reliability-Frequency Continuum." Social Science Computer Review. GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2748.

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