Internet Search Data and Issue Salience: The Properties of Google Trends as a Measure of Issue Salience

2013 ◽  
Vol 24 (1) ◽  
pp. 45-72 ◽  
Author(s):  
Jonathan Mellon
Keyword(s):  
Google Trends ◽  
Issue Salience ◽  
Internet Search ◽  
Search Data

Assessing E-Government Success Strategies using Internet Search Data

2013 ◽  
pp. 289-307
Author(s):  
Katherine M. Boland ◽  
John G. McNutt
Keyword(s):  
Longitudinal Data ◽  
Google Trends ◽  
Success Strategies ◽  
Internet Search ◽  
Dynamic Nature ◽  
Government Programs ◽  
Search Data ◽  
Research Questions ◽  
Internet Searches ◽  
Citizen Response

Evaluating e-government programs can be a challenging task. While determining program features and capacity are relatively straightforward processes, exploring the more dynamic nature of citizen response to e-government is difficult. Fortunately, recent advances in Internet search technology offer researchers new opportunities to address these research questions. Innovations, such as Google Trends and Google Insights for Search, have made longitudinal data on Internet searches accessible to scholars. The availability of this data opens a number of possible research avenues regarding e-government.

Seasonal variations and public search interests in Toxoplasma: a 16-year retrospective analysis of big data on Google Trends

2020 ◽  
Author(s):  
Lei Liu ◽  
Peng Wang ◽  
Su-Qin Jiang ◽  
Zi-Rong Zhong ◽  
Ting-Zheng Zhan ◽  
...  
Keyword(s):  
New Zealand ◽  
Google Trends ◽  
Seasonal Patterns ◽  
Search Term ◽  
Internet Search ◽  
Search Volume ◽  
The Usa ◽  
Search Data ◽  
Relative Search Volume ◽  
The Uk

Abstract Background This study aims to understand whether there is a seasonal change in the internet search interest for Toxoplasma by using the data derived from Google Trends (GT). Methods The present study searched for the relative search volume (RSV) for the search term ‘Toxoplasma’ in GT within six major English-speaking countries (Australia, New Zealand [Southern Hemisphere] and Canada, Ireland, the UK and the USA [Northern Hemisphere] from 1 January 2004 to 31 December 2019, utilizing the category of ‘health’. Data regarding the RSV of Toxoplasma was obtained and further statistical analysis was performed in R software using the ‘season’ package. Results There were significantly seasonal patterns for the RSV of the search term ‘Toxoplasma’ in five countries (all p<0.05), except for the UK. A peak in December–March and a trough in July–September (Canada, Ireland, the UK and the USA) were observed, while a peak in June/August and a trough in December/February (Australia, New Zealand) were also found. Moreover, the presence of seasonal patterns regarding RSV for ‘Toxoplasma’ between the Southern and Northern Hemispheres was also found (both p<0.05), with a reversed meteorological month. Conclusions Overall, our study revealed the seasonal variation for Toxoplasma in using internet search data from GT, providing additional evidence on seasonal patterns in Toxoplasma.

scholarly journals Searching Racism after George Floyd

2020 ◽  
Vol 6 ◽  
pp. 237802312097150
Author(s):  
Christopher Barrie
Keyword(s):  
African American ◽  
Police Officer ◽  
Survey Data ◽  
Political Interest ◽  
Google Trends ◽  
Internet Search ◽  
Before And After ◽  
Search Data

On May 25, 2020, George Floyd, a 46-year-old African American man, was killed by a white police officer in Minneapolis, Minnesota. His death led to U.S.-wide protest that would eventually cross borders, spanning multiple continents. The transnational diffusion of protest and movement frames is a recognized phenomenon in the study of contention. Less well documented are the consequences of such protest for political interest; absent survey data, this is difficult to measure. One alternative is to use Internet search data. This visualization uses Google Trends to document variation in search interest for “racism” across 101 countries and 32 languages during the period before and after George Floyd’s killing. In the majority of countries, there was significantly increased search interest that was sustained for at least two weeks. The findings suggest that transnational protest diffusion may lead to global increases in political interest.

Assessing E-Government Success Strategies using Internet Search Data

2015 ◽  
pp. 1151-1169
Author(s):  
Katherine M. Boland ◽  
John G. McNutt
Keyword(s):  
Longitudinal Data ◽  
Google Trends ◽  
Success Strategies ◽  
Internet Search ◽  
Dynamic Nature ◽  
Government Programs ◽  
Search Data ◽  
Research Questions ◽  
Internet Searches ◽  
Citizen Response

Evaluating e-government programs can be a challenging task. While determining program features and capacity are relatively straightforward processes, exploring the more dynamic nature of citizen response to e-government is difficult. Fortunately, recent advances in Internet search technology offer researchers new opportunities to address these research questions. Innovations, such as Google Trends and Google Insights for Search, have made longitudinal data on Internet searches accessible to scholars. The availability of this data opens a number of possible research avenues regarding e-government.

Where and When Can We Use Google Trends to Measure Issue Salience?

2013 ◽  
Vol 46 (02) ◽  
pp. 280-290 ◽  
Author(s):  
Jonathan Mellon
Keyword(s):  
Google Trends ◽  
Issue Salience ◽  
Social Scientists ◽  
Download Time ◽  
The World ◽  
Search Data ◽  
Data Source ◽  
Almost All ◽  
Google Search ◽  
Over Time

Google search data have several major advantages over traditional survey data. First, the high costs of running frequent surveys mean that most survey questions are only asked occasionally making comparisons over time difficult. By contrast, Google Trends provides information on search trends measured weekly. Second, there are many countries where surveys are only conducted sporadically, whereas Google search data are available anywhere in the world where sufficient numbers of people use its search engine. The Google Trends website allows researchers to download data for almost all countries at no cost and to download time series of any search term's popularity over time (provided enough people have searched for it). For these reasons, Google Trends is an attractive data source for social scientists.

scholarly journals Seasonality of cellulitis: evidence from Google Trends

2017 ◽  
Author(s):  
Xin Zhang ◽  
Shuangsuo Dang ◽  
Fanpu Ji ◽  
Xiongxiong Bao ◽  
Wenjun Wang
Keyword(s):  
Clinical Experience ◽  
Clinical Data ◽  
Google Trends ◽  
The Internet ◽  
Internet Search ◽  
Monthly Data ◽  
Search Volume ◽  
Search Data

According to our clinical experience, cellulitis is common in summer; however, very few studies have mentioned this trend. Using Google Trends, we analyzed the monthly data of Google searches for ‘cellulitis’ from 31 countries on six continents. Seasonality explained 34%-92% of the variability in search volume, with peaks occurring in summer months. The analyses offered new insights into the epidemiology of cellulitis on national and international scales. Clinical data are needed to validate the Internet search data.

scholarly journals Seasonality in Human Interest in Berry Plants Detection by Google Trends

2021 ◽  
Vol 4 ◽  
Author(s):  
Ayumi Kotani ◽  
Nagai Shin ◽  
Shunsuke Tei ◽  
Andrey Makarov ◽  
Tuyara Gavrilyeva
Keyword(s):  
Ecological Factors ◽  
Specific Pattern ◽  
Google Trends ◽  
Internet Search ◽  
Arctic Ecosystems ◽  
Human Interest ◽  
Cultural Aspects ◽  
Search Volume ◽  
Search Data ◽  
Physical Phenomena

The phenology of berry-producing plants, particularly their harvest season, is of human interest and also reflects the ecosystem’s response to the changing environment. We investigated the seasonal dynamics of human interest in berries growing in boreal, subarctic and Arctic ecosystems, mainly in Russia, based on internet search data via Google Trends. There is a typical and culture-specific pattern of seasonal variations in search volume concerning berries across Russia, Finland, and Canada. Generally, the seasonal peak of search corresponds to the common berry harvest season across these countries. We discussed the potential and limitation for detecting ecological factors from the internet search data, in which physical phenomena and socio-cultural aspects are fundamentally superimposed, and its applicability to phenological studies.

The traces of ecotourism in a digital world: spatial and trend analysis of geotagged photographs on social media and Google search data for sustainable development

2020 ◽  
Vol 11 (2) ◽  
pp. 183-202
Author(s):  
Hanyoung Go ◽  
Myunghwa Kang ◽  
Yunwoo Nam
Keyword(s):  
Social Media ◽  
Sustainable Development ◽  
Spatial Analysis ◽  
Google Trends ◽  
Internet Search ◽  
Content Type ◽  
Digital World ◽  
Search Data ◽  
Google Search ◽  
Over Time

Purpose This paper aims to track how ecotourism has been presented in a digital world over time using geotagged photographs and internet search data. Ecotourism photographs and Google Trends search data are used to evaluate tourist perceptions of ecotourism by developing a categorization of essential attributes, examining the relation of ecotourism and sustainable development, and measuring the popularity of the ecotourism sites. Design/methodology/approach The researchers collected geotagged photographs from Flickr.com and downloaded Google search data from Google Trends. An integrative approach of content, trend and spatial analysis was applied to develop ecotourism categories and investigate tourist perceptions of ecotourism. First, the authors investigate ecotourism geotagged photographs on a social media to comprehend tourist perceptions of ecotourism by developing a categorization of key ecotourism attributes and measuring the popularity of the ecotourism sites. Second, they examined how ecotourism has been related with sustainable development using internet search data and investigate the trends in search data. Third, spatial analysis using GIS maps was used to visualize the spatial-temporal changes of photographs and tourist views throughout the world. Findings This study identified three primary themes of ecotourism perceptions and 13 categories of ecotourism attributes. Interest over time about ecotourism was mostly presented as its definitions in Google Trends. The result indicates that tracked ecotourism locations and tourist footprints are not congruent with the popular regions of ecotourism Google search. Originality/value This research follows the changing trends in ecotourism over a decade using geotagged photographs and internet search data. The evaluation of the global ecotourism trend provides important insights for global sustainable tourism development and actual tourist perception. Analyzing the trend of ecotourism is a strategic approach to assess the achievement of UN sustainable development goals. Factual perspectives and insights into how tourists are likely to seek and perceive natural attractions are valuable for a range of audiences, such as tourism industries and governments.

scholarly journals Seasonality of cellulitis: evidence from Google Trends

2017 ◽  
Author(s):  
Xin Zhang ◽  
Shuangsuo Dang ◽  
Fanpu Ji ◽  
Xiongxiong Bao ◽  
Wenjun Wang
Keyword(s):  
Clinical Experience ◽  
Clinical Data ◽  
Google Trends ◽  
The Internet ◽  
Internet Search ◽  
Monthly Data ◽  
Search Volume ◽  
Search Data

According to our clinical experience, cellulitis is common in summer; however, very few studies have mentioned this trend. Using Google Trends, we analyzed the monthly data of Google searches for ‘cellulitis’ from 31 countries on six continents. Seasonality explained 34%-92% of the variability in search volume, with peaks occurring in summer months. The analyses offered new insights into the epidemiology of cellulitis on national and international scales. Clinical data are needed to validate the Internet search data.

Sentiment-based commercial real estate forecasting with Google search volume data

2014 ◽  
Vol 32 (6) ◽  
pp. 540-569 ◽  
Author(s):  
Marian Alexander Dietzel ◽  
Nicole Braun ◽  
Wolfgang Schäfers
Keyword(s):  
Real Estate ◽  
Commercial Real Estate ◽  
Google Trends ◽  
Internet Search ◽  
Price Indices ◽  
Search Query ◽  
Content Type ◽  
Forecasting Models ◽  
Search Data ◽  
Google Search

Purpose – The purpose of this paper is to examine internet search query data provided by “Google Trends”, with respect to its ability to serve as a sentiment indicator and improve commercial real estate forecasting models for transactions and price indices. Design/methodology/approach – This paper examines internet search query data provided by “Google Trends”, with respect to its ability to serve as a sentiment indicator and improve commercial real estate forecasting models for transactions and price indices. Findings – The empirical results show that all models augmented with Google data, combining both macro and search data, significantly outperform baseline models which abandon internet search data. Models based on Google data alone, outperform the baseline models in all cases. The models achieve a reduction over the baseline models of the mean squared forecasting error for transactions and prices of up to 35 and 54 per cent, respectively. Practical implications – The results suggest that Google data can serve as an early market indicator. The findings of this study suggest that the inclusion of Google search data in forecasting models can improve forecast accuracy significantly. This implies that commercial real estate forecasters should consider incorporating this free and timely data set into their market forecasts or when performing plausibility checks for future investment decisions. Originality/value – This is the first paper applying Google search query data to the commercial real estate sector.

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