ArticlePloS one2019
Guideline for improving the reliability of Google Ngram studies: Evidence from religious terms.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The neuroscience of social feelings: mechanisms of adaptive social functioning.Neuroscience and biobehavioral reviews · 2021Pooled it
- Performative planning creates a values mismatch between wildfire plans and community needs.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Pathogen stress heightens sensorimotor dimensions in the human collective semantic space.Communications psychology · 2025Article
- Article
- Multi-LEX: A database of multi-word frequencies for French and English.Behavior research methods · 2023Article
- Benford's Law applies to word frequency rank in English, German, French, Spanish, and Italian.PloS one · 2023Article
- Increasing digitalization is associated with anxiety and depression: A Google Ngram analysis.PloS one · 2023Article
- Evaluating the use of Instagram images color histograms and hashtags sets for automatic image annotation.Frontiers in big data · 2023Article
- Historical representations of social groups across 200 years of word embeddings from Google Books.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- The rise and fall of rationality in language.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- COVID-19 shifts mortality salience, activities, and values in the United States: Big data analysis of online adaptation.Human behavior and emerging technologies · 2021Article
- A sensorimotor control framework for understanding emotional communication and regulation.Neuroscience and biobehavioral reviews · 2020Review
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The Google Books Ngram Viewer (Google Ngram) is a search engine that charts word frequencies from a large corpus of books and thereby allows for the examination of cultural change as it is reflected in books. While the tool's massive corpus of data (about 8 million books or 6% of all books ever published) has been used in various scientific studies, concerns about the accuracy of results have simultaneously emerged. This paper reviews the literature and serves as a guideline for improving Google Ngram studies by suggesting five methodological procedures suited to increase the reliability of results. In particular, we recommend the use of (I) different language corpora, (II) cross-checks on different corpora from the same language, (III) word inflections, (IV) synonyms, and (V) a standardization procedure that accounts for both the influx of data and unequal weights of word frequencies. Further, we outline how to combine these procedures and address the risk of potential biases arising from censorship and propaganda. As an example of the proposed procedures, we examine the cross-cultural expression of religion via religious terms for the years 1900 to 2000. Special emphasis is placed on the situation during World War II. In line with the strand of literature that emphasizes the decline of collectivistic values, our results suggest an overall decrease of religion's importance. However, religion re-gains importance during times of crisis such as World War II. By comparing the results obtained through the different methods, we illustrate that applying and particularly combining our suggested procedures increase the reliability of results and prevents authors from deriving wrong assumptions.
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