Online Search Behavior Research Articles

Relationship Between the Online Health Information Search and Vaccination Behavior During the COVID-19 Pandemic

Relationship Between the Online Health Information Search and Vaccination Behavior During the COVID-19 Pandemic

Exploring the theory of consumer-engagement marketing: antecedents and consequences of consumers’ participative and engagement behaviours

ABSTRACT This study develops a comprehensive framework based on the theory of consumer engagement marketing. It examines the role of brand-initiated social media marketing (SMM) efforts—specifically entertainment, customisation, interactivity, and trendiness—in encouraging consumers to voluntarily contribute on social media platforms. These contributions are reflected in consumer-to-brand and consumer-to-consumer interactions, which, in turn, influence consumer engagement and online search behaviour. A theoretical model was developed and tested using survey data from 388 consumers experienced in visiting smartphone brand pages in Egypt. The data was analysed using partial least squares structural equation modelling (PLS-SEM). Findings indicate that SMM elements such as entertainment, customisation, and interactivity significantly drive consumer-to-consumer and consumer-to-brand interactions, which subsequently lead to increased consumer engagement and online search behaviour. Notably, consumer engagement behaviour fully mediates the impact of consumer-to-consumer interaction on online search behaviour. The study offers important theoretical insights and managerial implications for brands aiming to enhance consumer engagement through social media strategies.

Dreaming of Blue Skies: Evidence on Air Pollution and the Mobility Aspirations of Young People in Beijing from Online Search Behavior

Dreaming of Blue Skies: Evidence on Air Pollution and the Mobility Aspirations of Young People in Beijing from Online Search Behavior

Sweetening the deal: an infodemiological study of worldwide interest in semaglutide using Google Trends extended for health application programming interface

BackgroundOff-label use of semaglutide for non-diabetic weight loss (which regulators have linked to social media promotion) created worldwide supply shortages. We evaluated worldwide semaglutide interest measured by online search behavior to gauge social media and conventional print media reporting’s effect on search interest.MethodsUsing Google Trends Extended for Health (GTEH) multiple sampling, we retrieved regional online interest (ROI) for all countries and extracted timelines and top search queries for January 2021–August 2023 for countries with median ROI ≥ 20 using the “semaglutide” topic. We obtained semaglutide media reporting from the ProQuest database. We estimated the effect of media and within-country semaglutide interest on between-country interest with Granger causality analysis. We determined changepoints for trends within each country with joinpoint regression. We determined prominent themes in search queries for each country with natural language processing thematic analysis.ResultsTwenty-seven countries were included. Most countries showed an increase in semaglutide interest over time, with Canada and the USA showing the largest sustained interest. Most of the search interest arose from 2022 onwards. Granger’s analysis showed that media coverage could only partially explain interest, and interest in some countries partially preceded interest in others, with the UK and Germany showing strong relationships between news reports and lagged search interest. Joinpoint analysis identified up to four significant within-country changepoints. Most countries showed significant positive weekly trends in 2021–2022, although uptrends in search interest varied considerably between countries. One episode of the Dr. Oz show (TV media event) coincided with strong peaks in numerous countries. Natural language processing of top search queries showed some agreement between countries and country-specific themes. Weight loss was a major theme in most countries, while a diabetes theme was generally absent or weak. Some countries (Australia, Chile, South Africa, UK) had themes for buying Ozempic from (named) local retailers, and Germany had a theme related to buying Ozempic without a script.ConclusionsGTEH data provided insights into global search interest in semaglutide and regional variation. Studies focusing on specific countries which include social media data can elucidate specific drivers behind the surge in off-label use of semaglutide.

Seasonal Trends in Suicide Attempts-Keywords Related Searches: A Google Trends Analysis.

Suicide is a significant public health concern globally, with its varying rates influenced by numerous factors, including seasonal changes. Online search behaviors, particularly searches related to suicide and mental health, have been proposed as real-time indicators of suicidal ideation in populations. In this study, a cross-sectional time series analysis was conducted, utilizing data on suicide attempts from the Polish Police Headquarters and online search behavior from Google Trends over a decade. Suicide attempt data were analyzed alongside the frequency of Google searches for suicide-related keywords derived from the Polish Corpus of Suicide Notes. A total of 66 keywords were selected for analysis to identify seasonal trends and patterns in search behavior. The study employed linear regression, Seasonal Mann-Kendall tests, and TBATS models to analyze the data. Suicide rates show seasonal patterns, peaking in warmer months. However, keyword searches did not strongly correlate with peak suicide months. This study enhances our understanding of suicide-related search trends and their potential connection to suicide rates. It suggests avenues for more effective prevention efforts and the potential for future algorithms to predict suicide rates and identify at-risk groups.

Flash droughts and their impacts—using newspaper articles to assess the perceived consequences of rapidly emerging droughts

Flash droughts (FDs) have attracted increasing attention in the past decade. They are characterised by a rapid depletion of soil moisture resulting from interactions between the soil and atmospheric conditions. To date, there is a lack of consistent FD definitions and an understanding of their socio-economic impacts. Here, we explore the relationship between biophysical FD conditions and the perceived impacts of FDs in Germany between 2000 and 2022. We measured perceived impacts by analysing consequences reported in newspaper articles (2000–2022) and online search behaviour using Google trends data (2004–2022). To characterise the physical process, we considered root zone soil moisture data. Our results show that FDs are becoming increasingly frequent in Germany, occurring once every two years on average. Despite the lack of knowledge from the general public regarding the phenomenon of FDs, the peaks of interest in drought impacts correspond to the physical occurrence of FDs across the country. We identified an average time gap of four weeks between FD onset and the reporting of perceived impacts. This gap is longer than the average duration of FDs’ onset. Consequently, our findings highlight that consistent monitoring of FD conditions and drivers is necessary to guarantee effective preparedness. As impact perception is too slow to allow the adoption of mitigation measures, FDs require new schemes for response measures compared with slowly emerging (conventional) drought events. The novel method also allows the consistent and impact-based validation of FD identification methods.

Digital smoke signals: Event-driven online search trends in Heated Tobacco Products in Poland.

Heated tobacco products (HTPs) have emerged as a prominent category in the tobacco market, particularly within European countries such as Poland. The introduction of HTPs has been met with increasing public interest, reflected in online search behavior. However, the public health implications of this new form of tobacco consumption remain a concern due to the lack of comprehensive research on its long-term effects. This study aimed to track the trends in online searches related to HTPs in Poland between 2016 and 2022, and to assess the impact of significant events on these trends in order to provide insights into public awareness of HTPs. Utilizing Google Trends, a free source tool, this study analyzed relative search volume (RSV) for HTP-related keywords in Poland. Key events were identified and mapped against the fluctuations in RSV to understand their impact on search behavior. The analysis was confined to specific HTP-related keywords, excluding broader tobacco-related terms. A notable increase in HTP-related search queries was observed, particularly around the time of product launches and legislative changes. The largest increases occurred during the introduction of HTPs to the Polish market and during major events such as the COVID-19 pandemic. The study demonstrates a market interest in HTPs among Polish internet users, with search trends influenced by product launches and policy changes. The findings highlight the importance of monitoring online behaviors to inform public health efforts, despite limitations such as the lack of demographic data. Further research is needed to deepen the understanding of how these online trends correlate with actual consumer behavior and product sales.

Persistent trends and inefficiencies in the Greek housing market: a sentiment based approach

PurposeWe examine the aggregate price trend of the Greek housing market from a behavioral perspective.Design/methodology/approachWe construct a behavioral real estate sentiment index, based on relevant real estate search terms from Google Trends and websites, and examine its association with real estate price distributions and trends. By employing EGARCH(1,1) on the New Apartments Index data from the Bank of Greece, we capture real estate price volatility and asymmetric effects resulting from changes in the real estate search index. Enhancing robustness, macroeconomic variables are added to the mean equation. Additionally, a run test assesses the efficiency of the Greek housing market.FindingsThe results show a significant relationship between the Greek housing market and our real estate sentiment index; an increase (decrease) in search activity, indicating a growing interest in the real estate market, is strongly linked to potential increases (decreases) in real estate prices. These results remain robust across various estimation procedures and control variables. These findings underscore the influential role of real estate sentiment on the Greek housing market and highlight the importance of considering behavioral factors when analyzing and predicting trends in the housing market.Originality/valueTo investigate the behavioral effect on the Greek housing market, we construct our behavioral pattern indexes using Google search-based sentiment data from Google Trends. Additionally, we incorporate the Google Trend index as an explanatory variable in the EGARCH mean equation to evaluate the influence of online search behavior on the dynamics and prices of the Greek housing market.

Rational satisficing heuristics as determinants of online search behavior

We design a set of satisficing heuristic algorithms that mimic the online information retrieval behavior of rational decision makers (DMs) as reflected in their click through rates (CTRs). We illustrate how basic heuristic algorithms formalizing binary decision trees composed by 21 nodes and requiring DMs to observe one satisficing alternative lack the structural capacity to characterize the retrieval process. The algorithm requiring DMs to observe two satisficing alternatives –formalizing binary decision trees composed by 111 nodes – provides a sufficient approximation to their CTRs. Adding a third alternative – accounting for 351 nodes – delivers an almost identical set of CTRs to those displayed by DMs. The mimicking quality of the heuristic algorithms prevails as alternatives are added up to include the ten ranked within the first page of search results, incorporating 2,047 nodes to formalize the corresponding retrieval process. The set of algorithms bridges the gap between purely rational decision theory and heuristic behavior, illustrating how the CTRs observed can be generated by rational DMs performing a sequential search process while aiming to observe two or three satisficing alternatives. The decision-tree algorithmic structures presented are sufficiently malleable to introduce any potential modification to the beliefs and preferences of DMs and study its consequences in terms of CTRs.

Online public concern about allergic rhinitis and its association with COVID-19 and air quality in China: an informative epidemiological study using Baidu index

BackgroundAllergic rhinitis is a common health concern that affects quality of life. This study aims to examine the online search trends of allergic rhinitis in China before and after the COVID-19 epidemic and to explore the association between the daily air quality and online search volumes of allergic rhinitis in Beijing.MethodsWe extracted the online search data of allergic rhinitis-related keywords from the Baidu index database from January 23, 2017 to June 23, 2022. We analyzed and compared the temporal distribution of online search behaviors across different themes of allergic rhinitis before and after the COVID-19 pandemic in mainland China, using the Baidu search index (BSI). We also obtained the air quality index (AQI) data in Beijing and assessed its correlation with daily BSIs of allergic rhinitis.ResultsThe online search for allergic rhinitis in China showed significant seasonal variations, with two peaks each year in spring from March to May and autumn from August and October. The BSI of total allergic rhinitis-related searches increased gradually from 2017 to 2019, reaching a peak in April 2019, and declined after the COVID-19 pandemic, especially in the first half of 2020. The BSI for all allergic rhinitis themes was significantly lower after the COVID-19 pandemic than before (all p values < 0.05). The results also revealed that, in Beijing, there was a significant negative association between daily BSI and AQI for each allergic rhinitis theme during the original variant strain epidemic period and a significant positive correlation during the Omicron variant period.ConclusionBoth air quality and the interventions used for COVID-19 pandemic, including national and local quarantines and mask wearing behaviors, may have affected the incidence and public concern about allergic rhinitis in China. The online search trends can serve as a valuable tool for tracking real-time public concerns about allergic rhinitis. By complementing traditional disease monitoring systems of health departments, these search trends can also offer insights into the patterns of disease outbreaks. Additionally, they can provide references and suggestions regarding the public’s knowledge demands related to allergic rhinitis, which can further be instrumental in developing targeted strategies to enhance population-based disease education on allergic diseases.

Tracking online searches for gambling activities and operators in the United Kingdom during the COVID-19 pandemic: A Google Trends™ analysis.

Whilst some research has explored the impact of COVID-19 on gambling behaviour, little is yet known about online search behaviours for gambling during this period. The current study explored gambling-related online searches before, during and after the outbreak of the COVID-19 pandemic in the UK. We also assessed whether search trends were related to Gambling Commission behavioural data over the same period. Google Trends™ search data, covering thirty months from January 2020 to June 2022, for five gambling activities and five gambling operators were downloaded. Graphical displays of the weekly relative search values over this period were then produced to visualise trends in search terms, with key dates in COVID-19 policy and sporting events highlighted. Cross-correlations between seasonally adjusted monthly search data and behavioural indices were conducted. Sharp increases in internet searches for poker, slots, and bingo were evident during the first lockdown in the UK, with operator searches sharply decreasing over this period. No changes in gambling activity searches were highlighted during subsequent lockdowns, although small increases in operator-based searches were detected. Strong positive correlations were found between search data and industry data for sports betting and poker but not for slots. Google Trends™ data may act as an indicator of population-level gambling behaviour. Substitution of preferred gambling activities for others may have occurred during the first lockdown when opportunities for sports betting were limited. Further research is needed to assess the effectiveness of internet search data in predicting gambling-related harm.

Impact of customers' needs on online information search of upscale restaurant attributes and customer satisfaction

PurposeThis research investigates the effects of consumers' online information searching on their dining satisfaction in upscale restaurants during the pandemic. Customers frequently rely on online sources to gather information about upscale restaurants prior to their visits.Design/methodology/approachData from 307 diners across the top ten popular upscale restaurants in Hong Kong were analysed by using SEM to explore the links between customers' needs, information search, restaurant attributes and customer satisfaction.FindingsThis study uncovers customers' online search behaviours and identifies restaurant attributes that are associated with customer satisfaction, which were not typically emphasised before the COVID-19 pandemic. Driven by their social and psychological needs, customers devoted more time to reading written comments by other consumers compared to visual images or self-descriptions from restaurants. Only service attribute significantly influenced customer satisfaction, while food and price attributes were not significant.Research limitations/implicationsThe findings of this study provide valuable insights for researchers and practitioners, shedding light on the altered needs and preferences of consumers following the unprecedented health crisis.Originality/valueThis study contributes to the development of expectancy disconfirmation theory and needs theory through the investigation of consumers' online information searching behaviours and dining satisfaction in upscale restaurants during the pandemic. By identifying the most important attributes influencing customer satisfaction, this research can aid upscale restaurants in developing effective marketing strategies and enhancing customer experiences.

Estimating national and state-level suicide deaths using a novel online symptom search data source

BackgroundSuicide mortality data are a critical source of information for understanding suicide-related trends in the United States. However, official suicide mortality data experience significant delays. The Google Symptom Search Dataset (SSD), a novel population-level data source derived from online search behavior, has not been evaluated for its utility in predicting suicide mortality trends. MethodsWe identified five mental health related variables (suicidal ideation, self-harm, depression, major depressive disorder, and pain) from the SSD. Daily search trends for these symptoms were utilized to estimate national and state suicide counts in 2020, the most recent year for which data was available, via a linear regression model. We compared the performance of this model to a baseline autoregressive integrated moving average (ARIMA) model and a model including all 422 symptoms (All Symptoms) in the SSD. ResultsOur Mental Health Model estimated the national number of suicide deaths with an error of −3.86 %, compared to an error of 7.17 % and 28.49 % for the ARIMA baseline and All Symptoms models. At the state level, 70 % (N = 35) of states had a prediction error of <10 % with the Mental Health Model, with accuracy generally favoring larger population states with higher number of suicide deaths. ConclusionThe Google SSD is a new real-time data source that can be used to make accurate predictions of suicide mortality monthly trends at the national level. Additional research is needed to optimize state level predictions for states with low suicide counts.

Tourists’ Online Information Search Behavior: Combined User-Generated and Marketer-Generated Content in Restaurant Decision Making

Tourist information search behavior is one of the most important aspects of risk reduction in the travel decision-making process. Understanding tourists’ behavior when searching for online information has been heavily weighted toward user-generated content (UGC), mainly employed deductive research approaches. This study examines the influence of both UGC and marketer-generated content (MGC) on tourists’ choice of restaurant, using eye-tracking technology to measure customers’ visual behavior combined with retrospective think-aloud interviews. Data was collected from 28 participants in a laboratory-based study. Video recordings of participants’ eye movements during the task aided participant recall in follow-up interviews. This study offers insights into the integrated investigation of the influence of UGC and MGC on tourists’ information search behavior. It validates and extends understanding of the roles of pictorial information, written information, and other factors, and newly clarifies the role of both positive and negative reviews in influencing restaurant selection from international tourists’ perspectives.

Infoveillance and Critical Analysis of the Systematically Reviewed Literature on Dimethyltryptamine and the "God Molecule".

Aboriginals of Latin America have used DMT (N,N-dimethyltryptamine) in ritualistic ceremonies for centuries. Nevertheless, there are limited data on web users' interest concerning DMT. We aim to review the literature and explore the spatial-temporal mapping of online search behavior concerning DMT, 5-MeO-DMT, and the Colorado River toad via Google Trends over the past 10 years (2012-2022) while using 5 search terms: "N,N-dimethyltryptamine", "5-methoxy-N,N-dimethyltryptamine", "5-MeO-DMT", "Colorado River toad", and "Sonoran Desert toad". Literature analysis conveyed novel information concerning DMT's past shamanic and present-day illicit uses, showcased experimental trials on DMT uses for neurotic disorders, and highlighted potential uses in modern medicine. DMT's geographic mapping signals originated mainly from Eastern Europe, the Middle East, and Far East Asia. In contrast, 5-MeO-DMT signals prevailed in Western Europe, Indo-China, and Australasia. Signals concerning the toad originated from the Americas, Australia, India, the Philippines, and Europe. Web users searched the most for "N,N-dimethyltryptamine" and "5-MeO-DMT". Three terms exhibited significant upgoing linear temporal trends: "5-MeO-DMT" (β = 0.37, p < 0.001), "Sonoran Desert toad" (β = 0.23, p < 0.001), and "Colorado River toad" (β = 0.17, p < 0.001). The literature and Infoedemiology data provided crucial information concerning DMT's legal status, risks and benefits, and potential for abuse. Nonetheless, we opine that in the upcoming decades, physicians might use DMT to manage neurotic disorders pending a change in its legal status.

The Effectiveness of Search Engine Optimization Practices in Promoting Turkey's Tourism Destinations. A case Study of Tourism Destinations in Istanbul City

This study examined the effectiveness of Search Engine Optimization (SEO) practices in promoting Turkey's tourism destinations, focusing specifically on Istanbul city. Recognizing SEO as a crucial digital marketing tool, the study significantly contributed to the understanding of how SEO influences the visibility and attractiveness of destinations online. Employing a descriptive survey design, the research evaluated SEO practices on a representative sample of tourism-related websites in Istanbul, including official tourism websites, hotel sites, and travel blogs. The websites were analyzed based on established SEO parameters such as keyword usage, meta tags, backlink quality, website speed, and mobile optimization. The study also performed a comprehensive SERP (Search Engine Result Pages) analysis to gauge the visibility of these websites in organic search results. User engagement metrics such as bounce rate, time spent on the site, and conversion rates were studied to understand the effectiveness of the websites in attracting and retaining potential tourists. Furthermore, surveys were conducted with potential tourists to glean insights into their online search behavior, the perceived credibility of high-ranking websites, and their likelihood of visiting a destination based on its online representation. The findings revealed a strong correlation between effective SEO practices, high SERP rankings, and positive user engagement metrics. The study concluded that well-implemented SEO strategies significantly improved the online visibility and credibility of Istanbul's tourism destinations, thereby attracting a greater number of potential tourists. The findings underscored the necessity for local tourism businesses to invest in building SEO expertise and resources to capitalize on the potential of digital marketing in promoting tourism. Keywords: Search engine optimization, turkey's tourism, Istanbul tourism destinations, digital marketing in tourism, online visibility

The perception of plastic surgery during the COVID-19 pandemic—an analysis of online search patterns on a medical information platform

In 2020, the COVID-19 pandemic impacted global life and transitioned economies and societal perceptions of life as we knew it. Professional and social life mostly ground to a nadir during the first lockdown in Europe in March. As a consequence, measures aimed at preventing the spread of the virus were established in medical facilities also and elective plastic surgery procedures were temporarily suspended in our clinic and others. A majority of the population, including those potentially contemplating plastic surgery procedures, spent most of their time at home with ample time available to research information about surgical procedures and other topics online. This investigation analyzes the relevance of plastic surgery during the pandemic on the basis of online search behavior patterns. Online traffic data from the online platform http://www.mooci.org were extracted using Google Analytics over a period of 6 months. The parameters analyzed were: pageviews, session duration, and bounce rate. Additionally, differentiation by areas of interest has been obtained. The data were compared and analyzed before and after the beginning of the first hard lockdown in Austria, Germany, and Switzerland. There were no significant differences in regard to pageviews and session duration when comparing time points before and after the beginning of the hard lockdown. The bounce rate exhibited a significant decrease after the beginning of the lockdown, implying a more conscious search for information and greater absorption and retention. There was no difference that could conclusively be attributed to the pandemic in terms of specific areas of interest researched. Society’s demand for information about plastic-surgical procedures continues to be steadily prevalent—despite, or even in particular, during a global pandemic. Providing reliable and readily available information about plastic surgery procedures is an important component of a functioning doctor–patient relationship and informed consent. This information may reflect society’s increased interest in plastic surgery during the pandemic, or be simply reflective of more spare time at hand to allow for such research. Further studies should investigate the relevance of elective procedures over the entire course of the pandemic.

Surveillance of public risk perceptions on outdoor air pollution: evidence from online search behaviours in China

Severe outdoor air pollution in China has long constituted a threat to public health and environmental governance efficiency. Surveillance of online search behaviours that reflect real-time public risk perception and behavioural responses on environmental issues is essential in improving environmental governance. However, owing to the absence of an appropriate analytical framework, quantitative evidence of analysing online data is scarce in the extant research. To address this research gap, we analysed Baidu search indexes (BSI) keywords relevant to the public risk perception and behavioural responses on outdoor air pollution by a surveillance framework consisting of two parallel steps (prediction and monitoring). The proposed framework may improve environmental risk governance efficiency and benefit environmental risk governance policy decision-making through considering real-time public risk perceptions and behavioural response information. Using online search behaviour data, this study adds to the methodology for improving the efficacy of environmental social risk governance.

Social media engagement and impacts on post-COVID-19 travel intention for adventure tourism in New Zealand

This study examined the online search behavior of international students and the impacts of social media content on their intention to purchase adventure tourism products during the COVID-19 pandemic. Semi-structured in-depth interviews were conducted with 12 international students in Auckland, New Zealand. The data collected were analysed using a qualitative thematic analysis approach. The findings demonstrate the importance of adventure tourism organizations having a comprehensive understanding of tourist perceptions and search behaviors on social media for information related to purchase intention. Both Firm-Generated Content and User-Generated Content were found to be effective and convincing with popular sources of both types of content on Instagram, Facebook, YouTube and TripAdvisor, as well as other more specific content and platforms directly targeting Chinese tourists. The study demonstrates how changes in customer behavior including how international tourists search for information on social media affected their intent to purchase. This highlights the importance of social media when marketing adventure tourism destinations including destinations in New Zealand. Management implicationsThe research findings further highlight the importance of social media in the era of COVID-19 with increased use and reliance of content on social media platforms produced by firms and users. Therefore, adventure tourism marketers need to formulate new social media marketing strategies to trigger purchase intentions in accordance with the preferences of the target audiences and their own business objectives.

Googling “Anatomy dissection”: Pre-pandemic, pandemic, and current scenario

The present study was proposed to assess if the online search behavior for Anatomy dissection was affected by actual dissection being performed in the labs. The interest in dissection was ascertained and compared between pre-pandemic, pandemic, and current times. Online web search behavior for key terms related to "Anatomy dissection" was noticed worldwide using Google Trends Tool. Relative search volume (RSV) was downloaded for these keywords worldwide using all categories, and web search settings during a period from January 1, 2018, to July 31, 2022. There was almost a similar google trend for the first three months in years 2018 and 2020, with a slightly lower RSV in March and a noticeable RSV decrease from April onwards in 2020. During the pre-pandemic period, the peak for RSV in the month of May was noticed. These peaks were missing in 2020 and 2021. In May 2022, RSV again increased. The top five countries with the highest search hit for "Anatomy Dissection" web were the Philippines, the United States, Canada, Australia, and India. There was lower search trend for "Anatomy dissection" during the pandemic period as compared to pre-pandemic period. The search trends may be associated with the closure of dissection labs and it may be concluded that Anatomy learners search for this term more often, if they are actually performing the dissections. The future integrated multi-country data and analysis from different set-ups about their ways of dissection and labs before and after the pandemic may further clarify.