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Choi, H., & Varian, H. (2012). Predicting the Present with Google Trends. Economic Record, 88(s1), 2–9. https://doi.org/10.1111/j.1475-4932.2012.00809.x 

Jun, S.-P., Park, D.-H., & Yeom, J. (2014). The possibility of using search traffic information to explore consumer product attitudes and forecast consumer preference. Technological Forecasting and Social Change, 86, 237–253. https://doi.org/10.1016/j.techfore.2013.10.021 

Jun, S.-P., Sung, T.-E., & Park, H.-W. (2017). Forecasting by analogy using the web search traffic. Technological Forecasting and Social Change, 115, 37–51. https://doi.org/10.1016/j.techfore.2016.09.014 

Jun, S.-P., Yoo, H. S., & Choi, S. (2018). Ten years of research change using Google Trends: From the perspective of big data utilizations and applications. Technological Forecasting and Social Change, 130, 69–87. https://doi.org/10.1016/j.techfore.2017.11.009 

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Djuraskovic, O. (2022). Google search statistics and facts 2022. https://firstsiteguide.com/google-search-stats/

Stephens-Davidowitz, S. (2012, June 9). How racist are we? Ask Google. New York Times. http://campaignstops.blogs.nytimes.com/2012/06/09/how-racist-are-we-ask-google/

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Stephens-Davidowitz, S. (2014b, May 17). What do pregnant women want? New York Times. https://www.nytimes.com/2014/05/18/opinion/sunday/what-do-pregnant-women-want.html