Discovering business information from search engine query data

2014 ◽  
Vol 38 (4) ◽  
pp. 562-574 ◽  
Author(s):  
Liwen Vaughan
Keyword(s):  
Search Engine ◽  
Business Performance ◽  
Google Trends ◽  
Volume Data ◽  
Content Type ◽  
Search Volume ◽  
Business Information ◽  
Position Data ◽  
Search Data ◽  
One Year

Purpose – The purpose of this paper is to examine the feasibility of discovering business information from search engine query data. Specifically the study tried to determine whether search volumes of company names are correlated with the companies’ business performance and position data. Design/methodology/approach – The top 50 US companies in the 2012 Fortune 500 list were included in the study. The following business performance and position data were collected: revenues, profits, assets, stockholders’ equity, profits as a percentage of revenues, and profits as a percentage of assets. Data on the search volumes of the company names were collected from Google Trends, which is based on search queries users enter into Google. Google Trends data were collected in the two scenarios of worldwide searches and US searches. Findings – The study found significant correlations between search volume data and business performance and position data, suggesting that search engine query data can be used to discover business information. Google Trends’ worldwide search data were better than the US domestic search data for this purpose. Research limitations/implications – The study is limited to only one country and to one year of data. Practical implications – Publicly available search engine query data such as those from Google Trends can be used to estimate business performance and position data which are not always publicly available. Search engine query data are timelier than business data. Originality/value – This is the first study to establish a relationship between search engine query data and business performance and position data.

Google Trends in tourism and hospitality research: a systematic literature review

2019 ◽  
Vol 10 (4) ◽  
pp. 747-763 ◽  
Author(s):  
Gorete Dinis ◽  
Zélia Breda ◽  
Carlos Costa ◽  
Osvaldo Pacheco
Keyword(s):  
Literature Review ◽  
Search Engine ◽  
Systematic Literature Review ◽  
Data Use ◽  
Google Trends ◽  
Volume Index ◽  
Search Term ◽  
Content Type ◽  
Search Volume ◽  
Tourism And Hospitality

Purpose This paper aims to conduct a review of the literature published, between 2006 and 2018, that used search engine data on tourism and hospitality research, namely, Google Insights for Search and Google Trends. More specifically, it intends to identify the purpose and context of the data use, ascertaining the main findings and reviewing the methodological approaches. Design/methodology/approach A systematic literature review of Scopus indexed research has been carried out. Given the novelty of search engine data use in tourism and hospitality research and the relatively low number of search results in Scopus, other databases were used to broaden the scope of analysis, namely, EBSCO and Google Scholar. The papers selected were subjected to content and statistical analyses. Findings Google Trends data use in tourism and hospitality research has increased significantly from 2012 to 2017, mainly for tourism forecasting/nowcasting; knowing the interest of users’ searches for tourist attractions or destinations; showing the relationship between the official tourism statistics and the search volume index of Google Trends; and estimating the effect of one event on tourism demand. The categories and search terms used vary with the purpose of the study; however, they mostly focus on the travel category and use the country as the search term. Originality/value Google Trends has been increasingly used in research publications in tourism and hospitality, but the range of its applications and methods used has not yet been reviewed. Therefore, a systematic review of the existing literature increases awareness of its potential uses in tourism and hospitality research and facilitates a better understanding of its strengths and weaknesses as a research tool.

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.

Information search volume as a predictor of information explanatory power

2015 ◽  
Vol 23 (3) ◽  
pp. 238-252 ◽  
Author(s):  
Bixia Xu ◽  
Zhulin Huang
Keyword(s):  
Information Content ◽  
Information Search ◽  
Web Search ◽  
Explanatory Power ◽  
Accounting Information ◽  
Market Value ◽  
Volume Data ◽  
Content Type ◽  
Search Volume ◽  
The Relationship

Purpose – This paper aims to examine whether information search frequency of accounting information is related to the explanatory power of accounting information for firm market value. It also examines whether information content and state of nature can have an impact on this relationship. Design/methodology/approach – The paper is an empirical study using Web search volume data collected from Google Trends and financial and market data collected from Compustat. Findings – This paper finds that investors use Web search engines as an alternative way to search for information they need, search frequency of accounting information is positively related to the explanatory power of accounting information for firm market value, the relationship is found differential between statements and categories within a statement depending on the information content and the relationship is found stronger during economic upturns. Research limitations/implications – This paper examines 59 accounting items that are cross-firm commonly reported and that have data availability in Compustat. The external validity might be an issue. Practical implications – This paper is of interest to standard setters, corporate management and academics who wish to understand and improve the value of accounting information in the capital market. Originality/value – This paper is the first study which provides a comprehensive examination of the impact of investors’ information search volumes on the explanatory power of accounting information. It is also the first paper that intrudes Google Trends search volume data into accounting research.

743 Keeping up with Dr. Google: When Are Patients Seeking First-aid Burn Resources?

2020 ◽  
Vol 41 (Supplement_1) ◽  
pp. S204-S205
Author(s):  
David Parizh ◽  
Maleeh Effendi ◽  
Thomas L Martin
Keyword(s):  
Search Engine ◽  
Hospital Setting ◽  
First Aid ◽  
Third Party ◽  
Google Trends ◽  
Burn Treatment ◽  
Burn Care ◽  
Search Data ◽  
Search Numbers ◽  
Google Search

Abstract Introduction Treating burns is a relatively common occurrence in American Emergency Departments occurring an estimated 486,000 times per year. In the digital era, patients feel increasingly empowered to seek out medical resources independently. The true number of people sustaining an injury and treating themselves at home or outside of the hospital setting is difficult to quantify. However, we can see when patients were searching for first-aid burn resources on the world’s most powerful and popular search engine - Google. We hypothesized that there would be a correlation between patient’s searching for burn care resources online and burn admissions. Methods We used Keywords Everywhere a browser add-on for Google Chrome to cross check various phrases and words that Americans might search for to find information on how to treat a burn. “Burn treatment” was found to be the most commonly searched phrase and this was verified using Google Trends. Google Trends dose not give raw search numbers. However, it expresses the search frequency for a term relative to how frequently that term was sought out during a specified time period. We pulled search data for each successive year back till 2006 the earliest year for which complete data was available. We were then able to overlay this data on a year to year basis and thus view when information about treating burns was the most sought out. Results A clear increase in the frequency of searches for burn treatment can be seen around the summer months, peaking in the week surrounding the 4th of July. Further data comparing this trend to burn admissions is forthcoming as data is being solicited. Conclusions Americans are searching for more resources regarding burn injuries in the summer months; and especially in the days surrounding the fourth of July. We are excited to correlate this data to burn admissions. If there is an inverse relationship between admissions during the summer months and number of inquiries made via Google for acute burn care, this may suggest that many of the burns are minor. Thus, being treated through our clinics or through third-party providers. Alternatively, the patients may be treating themselves using internet resources. If this proves to be the case, there may be an opportunity to enrich online resources for our patients. Applicability of Research to Practice Once the data processing is complete, there will be an indication if the number of people seeking out resources via Google Search Engine correlates with out burn admissions. If not, this may be an opportunity for improvement to enrich burn first-aid resources available online.

The black crow of science and its impact: analyzing Sci-Hub use with Google Trends

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Emad Behboudi ◽  
Amrollah Shamsi ◽  
Gema Bueno de la Fuente
Keyword(s):  
Search Engine ◽  
Ethics Education ◽  
Ethics Committees ◽  
Research Process ◽  
Research Literature ◽  
Google Trends ◽  
Time Range ◽  
Web Searches ◽  
Content Type ◽  
Search Terms

PurposeIn 2016, Bohannon published an article analyzing the download rate of the top ten countries using the illegal Sci-Hub website. Four years later, this study approaches the search behavior of these ten countries as they query about Sci-Hub in Google's search engine, the world's most widely used search engine. The authors also tracked the possible consequences of using Sci-Hub, such as plagiarism.Design/methodology/approachThe search terms “Sci-Hub”, “Plagiarism” and “Plagiarism Checker” were explored with Google Trends. The queries were performed globally and individually for the ten target countries, all categories and web searches. The time range was limited between 1/1/2016 (after the date of publication of Bohannon's work) and 29/03/2020. Data were extracted from Google Trends and the findings were mapped.FindingsSearching for the word Sci-Hub on Google has increased nearly eightfold worldwide in the last four years, with China, Ethiopia and Tunisia having the most searches. Sci-Hub's search trends increased for most of the T10C, with Brazil and Iran having the highest and lowest average searches, respectively.Originality/valueAccess to the research literature is required to the progress of research, but it should not be obtained illegally. Given the increasing incidence of these problems in countries at any level of development, it is important to pay attention to ethics education in research and establish ethics committees. A comprehensive review of the research process is required to reduce the urge to circumvent copyright laws and includes training and educating research stakeholders in copyright literacy. To address these goals, national and international seriousness and enthusiasm are essential.

An infodemiology study on breast cancer in Iran

2018 ◽  
Vol 36 (2) ◽  
pp. 258-269 ◽  
Author(s):  
Shohreh SeyyedHosseini ◽  
Asefeh Asemi ◽  
Ahmad Shabani ◽  
Mozafar CheshmehSohrabi
Keyword(s):  
Breast Cancer ◽  
Health Information ◽  
Supply And Demand ◽  
The State ◽  
Google Trends ◽  
Volume Index ◽  
Mixed Method Research ◽  
State Of Health ◽  
Content Type ◽  
Search Volume

Purpose According to the studies conducted in Iran, the breast cancer is the most frequent type of cancer among women. This study aimed to explore the state of health information supply and demand on breast cancer among Iranian medical researchers and Iranian Web users from 2011 to 2015. Design/methodology/approach A mixed method research is conducted in this study. In qualitative part, a focus group interview is applied to the users to identify their selected keywords searched for breast cancer in Google. The collected data are analyzed using Open Code software. In quantitative part, data are synthesized using the R software in two parts. First, users’ internet information-seeking behavior (ISB) is analyzed using the Google Trends outputs from 2011 to 2015. Second, the scientific publication behavior of Iranian breast cancer specialists are surveyed using PubMed during the period of the study. Findings The results show that the search volume index of preferred keywords on breast cancer has increased from 4,119 in 2011 to 4,772 in 2015. Also, the findings reveal that Iranian scholars had 873 scientific papers on breast cancer in PubMed from 2011 to 2015. There was a significant and positive relationship between Iranian ISB in the Google Trends and SPB of Iranian scholars on breast cancer in PubMed. Research limitations/implications This study investigates only the state of health information supply and demand in PubMed and Google Trends and not additional databases often used for medical studies and treatment. Originality/value This study provides a road map for health policymakers in Iran to direct the breast cancer studies.

scholarly journals Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data

2018 ◽  
Vol 5 (2) ◽  
pp. e43 ◽  
Author(s):  
Jonas Christoffer Tana ◽  
Jyrki Kettunen ◽  
Emil Eirola ◽  
Heikki Paakkonen
Keyword(s):  
Diurnal Variation ◽  
Search Engine ◽  
Help Seeking ◽  
Mood State ◽  
Diurnal Variations ◽  
Google Trends ◽  
Volume Data ◽  
Time Block ◽  
Positive Health ◽  
Hourly Data

Background Some of the temporal variations and clock-like rhythms that govern several different health-related behaviors can be traced in near real-time with the help of search engine data. This is especially useful when studying phenomena where little or no traditional data exist. One specific area where traditional data are incomplete is the study of diurnal mood variations, or daily changes in individuals’ overall mood state in relation to depression-like symptoms. Objective The objective of this exploratory study was to analyze diurnal variations for interest in depression on the Web to discover hourly patterns of depression interest and help seeking. Methods Hourly query volume data for 6 depression-related queries in Finland were downloaded from Google Trends in March 2017. A continuous wavelet transform (CWT) was applied to the hourly data to focus on the diurnal variation. Longer term trends and noise were also eliminated from the data to extract the diurnal variation for each query term. An analysis of variance was conducted to determine the statistical differences between the distributions of each hour. Data were also trichotomized and analyzed in 3 time blocks to make comparisons between different time periods during the day. Results Search volumes for all depression-related query terms showed a unimodal regular pattern during the 24 hours of the day. All queries feature clear peaks during the nighttime hours around 11 PM to 4 AM and troughs between 5 AM and 10 PM. In the means of the CWT-reconstructed data, the differences in nighttime and daytime interest are evident, with a difference of 37.3 percentage points (pp) for the term “Depression,” 33.5 pp for “Masennustesti,” 30.6 pp for “Masennus,” 12.8 pp for “Depression test,” 12.0 pp for “Masennus testi,” and 11.8 pp for “Masennus oireet.” The trichotomization showed peaks in the first time block (00.00 AM-7.59 AM) for all 6 terms. The search volumes then decreased significantly during the second time block (8.00 AM-3.59 PM) for the terms “Masennus oireet” (P<.001), “Masennus” (P=.001), “Depression” (P=.005), and “Depression test” (P=.004). Higher search volumes for the terms “Masennus” (P=.14), “Masennustesti” (P=.07), and “Depression test” (P=.10) were present between the second and third time blocks. Conclusions Help seeking for depression has clear diurnal patterns, with significant rise in depression-related query volumes toward the evening and night. Thus, search engine query data support the notion of the evening-worse pattern in diurnal mood variation. Information on the timely nature of depression-related interest on an hourly level could improve the chances for early intervention, which is beneficial for positive health outcomes.

Google trends to identify public’s Interest in bowel cancer, A Web Based Analysis.

2020 ◽  
Vol 5 (4) ◽  
pp. 01-04
Author(s):  
T Manzoor
Keyword(s):  
Bowel Cancer ◽  
Google Trends ◽  
Volume Index ◽  
Search Term ◽  
Health Campaigns ◽  
Cancer Awareness ◽  
Search Volume ◽  
Search Data ◽  
Public Health Campaigns ◽  
Relative Search Volume

Aims: Bowel Cancer is one of the commonest cancers in UK. Google Trends were used to evaluate public’s search interest regarding bowel cancer. We hypothesize that the search data in Google Trends may be influenced by “Bowel cancer awareness month” campaign and that in future this might be a useful surrogate to monitor the effectiveness of public health campaigns. Methods: Google Trends were used to extract data presented as “Relative search volume index”(SVI) ranging between 0 to 100. “Bowel Cancer” was used as a search term to collect the relevant data for the last 5 years ( January 2015 to December 2019), All the peaks were assessed and their correlation with bowel cancer awareness month was noted. Results: We noticed an upward trend for the searched term during the months of April for most of the years where peak of search touched 90%. It corresponds with bowel cancer awareness month campaign. A downward trend was also noticed during the months of December during all years where it went down to 53%. This may represent avoidance of health related searches during the happy holiday period. Conclusion: Our study shows an encouraging association between bowel cancer awareness month campaign and public’s search interest. Results can be used in future to start effective awareness strategies and leverage future interventions.

scholarly journals Detecting epidemiological relevance among adenoid hypertrophy, rhinosinusitis, and allergic rhinitis through Internet search

2021 ◽  
Author(s):  
Yingchao Yang ◽  
Xinyi Li ◽  
Qiang Ma ◽  
Zhihui Fu ◽  
Kaiming Su
Keyword(s):  
Allergic Rhinitis ◽  
Search Engine ◽  
Correlation Coefficients ◽  
Adenoid Hypertrophy ◽  
Internet Search ◽  
Search Terms ◽  
Search Volume ◽  
Internet Search Engine ◽  
Search Data

Abstract Purpose : This study aimed to verify that adenoid hypertrophy (AH) and rhinosinusitis share similar epidemiologic patterns and that AH and allergic rhinitis (AR) are not related. Methods: Internet search engine query data from January 2011 to December 2019 were retrieved from the Baidu index. Monthly search volume was obtained in China for the following search terms in Chinese: “adenoid hypertrophy,” “rhinosinusitis,” and “allergic rhinitis”; the data obtained were then presented as percentages. Pearson’s and Spearman’ s correlation coefficients were used to detect the correlation among the search volumes of AH, rhinosinusitis, and AR. We also collected search data from the first 5 months of 2020, when segregation was implemented in China due to the coronavirus disease 2019 epidemic. Then, we compared the search data to those obtained during the same period in 2019 to detect the effects of segregation on AH and AR to varying degrees. Results: Statistically significant differences were found between the search variations of AH and rhinosinusitis during 2011–2019 (R=0.643, P<0.05). However, search variations of AH and AR were negatively related (R=-0.239, P<0.05). The average monthly search volume of AH and rhinosinusitis correlated well (R=0.836, P<0.01), but no correlation was found between AH and AR. The search volume of AH and rhinosinusitis during the first 5 months in 2020 decreased, whereas that of AR increased during January–February. Conclusions: AH and rhinosinusitis are epidemiologically related, whereas AH and AR are not correlated with each other.

scholarly journals Search Engine Optimization Method of Online Course Management Platform

2021 ◽  
Vol 2138 (1) ◽  
pp. 012023
Author(s):  
Bixi Wang ◽  
Wenbin Wu ◽  
Wenfeng Zheng ◽  
Qilong Gong ◽  
Lirong Yin
Keyword(s):  
Search Engine ◽  
Evaluation Method ◽  
Keyword Search ◽  
Optimization Method ◽  
Volume Data ◽  
Search Engine Optimization ◽  
Management Platform ◽  
Search Volume ◽  
Comprehensive Index ◽  
Index Evaluation

Abstract This study proposes a method of keyword selection in search engine optimization to improve the accuracy of search engine and website rankings. To promote the development of scientific and technological innovation, this paper selects the innovation and entrepreneurship curriculum platform as the experimental object. By comparing different search engine optimization strategies, the keyword search volume data is analyzed based on “comprehensive index evaluation method”, which analyzes and calculates the change of keyword search comparison and the number of related keywords. Therefore, this paper will use the comprehensive index evaluation method for keyword selection, and establish a set of practical keyword selection method combined with the actual situation of innovation and enterprise curriculum platform. The results show that this program can improve search accuracy and website ranking.

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