A webometric analysis of online health information: sponsorship, platform type and link structures

2014 ◽  
Vol 38 (2) ◽  
pp. 209-231 ◽  
Author(s):  
Darja Groselj
Keyword(s):  
Health Information ◽  
Large Scale ◽  
Third Party ◽  
Business Strategies ◽  
Online Information ◽  
Content Type ◽  
Search Queries ◽  
Health Domains ◽  
Information Landscape ◽  
The Web

Purpose – This study aims to map the information landscape as it unfolds to users when they search for health topics on general search engines. Website sponsorship, platform type and linking patterns were analysed in order to advance the understanding of the provision of health information online. Design/methodology/approach – The landscape was sampled by ten very different search queries and crawled with VOSON software. Drawing on Roger's framework of information politics on the web, the landscape is described on two levels. The front-end is examined qualitatively by assessing website sponsorship and platform type. On the back-end, linking patterns are analysed using hyperlink network analysis. Findings – A vast majority of the websites have commercial and organisational sponsorship. The analysis of the platform type shows that health information is provided mainly on static homepages, informational portals and general news sites. A comparison of ten different health domains revealed substantial differences in their landscapes, related to domain-specific characteristics. Research limitations/implications – The size and properties of the web crawl were shaped by using third party software, and the generalisability of the results is limited by the selected search queries. Further research exploring how specific characteristics of different health domains shape provision of information online is suggested. Practical implications – The demonstrated method can be used by organisations to discern the characteristics of the online information landscape in which they operate and to inform their business strategies. Originality/value – The study examines health information landscapes on a large scale and makes an original contribution by comparing them across ten different health domains.

scholarly journals Detecting Anti Ad-blockers in the Wild

2017 ◽  
Vol 2017 (3) ◽  
pp. 130-146 ◽  
Author(s):  
Muhammad Haris Mughees ◽  
Zhiyun Qian ◽  
Zubair Shafiq
Keyword(s):  
Machine Learning ◽  
Large Scale ◽  
Online Advertising ◽  
Arms Race ◽  
Third Party ◽  
Measurement Study ◽  
Economic Threat ◽  
In The Wild ◽  
Automated Machine Learning ◽  
The Web

Abstract The rise of ad-blockers is viewed as an economic threat by online publishers who primarily rely on online advertising to monetize their services. To address this threat, publishers have started to retaliate by employing anti ad-blockers, which scout for ad-block users and react to them by pushing users to whitelist the website or disable ad-blockers altogether. The clash between ad-blockers and anti ad-blockers has resulted in a new arms race on the Web. In this paper, we present an automated machine learning based approach to identify anti ad-blockers that detect and react to ad-block users. The approach is promising with precision of 94.8% and recall of 93.1%. Our automated approach allows us to conduct a large-scale measurement study of anti ad-blockers on Alexa top-100K websites. We identify 686 websites that make visible changes to their page content in response to ad-block detection. We characterize the spectrum of different strategies used by anti ad-blockers. We find that a majority of publishers use fairly simple first-party anti ad-block scripts. However, we also note the use of third-party anti ad-block services that use more sophisticated tactics to detect and respond to ad-blockers.

scholarly journals Assessing the quality, readability and reliability of online information on COVID-19: an infoveillance observational study

2020 ◽  
Author(s):  
Paulo Cardoso Lins-Filho ◽  
Thuanny Silva de Macêdo ◽  
Andressa Kelly Alves Ferreira ◽  
Maria Cecília Freire de Melo ◽  
Millena Mirella Silva de Araújo ◽  
...  
Keyword(s):  
Brazilian Portuguese ◽  
Online Information ◽  
Reading Levels ◽  
Content Type ◽  
Content Quality ◽  
Flesch Reading Ease ◽  
Web Contents ◽  
Health Related ◽  
Quality And Reliability ◽  
The Web

AbstractObjectiveThis study aimed to assess the quality, reliability and readability of internet-based information on COVID-19 available on Brazil’ most used search engines.MethodsA total of 68 websites were selected through Google, Bing, and Yahoo. The websites content quality and reliability were evaluated using the DISCERN questionnaire, the Journal of American Medical Association (JAMA) benchmark criteria, and the presence of the Health on Net (HON) certification. Readability was assessed by the Flesch Reading Ease adapted to Brazilian Portuguese (FRE-BP).ResultsThe web contents were considered moderate to low quality according to DISCERN and JAMA mean scores. Most of the sample presented very difficult reading levels and only 7.4% displayed HON certification. Websites of Governmental and health-related authorship nature showed lower JAMA mean scores and quality and readability measures did not correlate to the webpages content type.ConclusionCOVID-19 related contents available online were considered of low to moderate quality and not accessible.

The characteristics and evolution of business model for green buildings: a bibliometric approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaojing Zhao ◽  
Wei Pan
Keyword(s):  
Core Collection ◽  
Business Models ◽  
Web Of Science ◽  
Green Building ◽  
Green Buildings ◽  
Business Strategies ◽  
Market Demand ◽  
Building Projects ◽  
Content Type ◽  
The Web

PurposeThe wide uptake of green building is hindered by factors such as limited market demand and high up-front cost despite substantial policy incentives. Successful business models (BMs) help facilitate the diffusion of sustainable innovation and have attracted increasing attention. However, little attention has been paid to examining the adoption of green building from the perspective of BM. This paper aims to identify the characteristics of BM that companies adopted to deliver green building projects and examine the evolution path of BM for green buildings.Design/methodology/approachA total of 744 interdisciplinary bibliographic records related to BM and green buildings from the Web of Science Core Collection database have been identified from the Web of Science Core Collection and analyzed through co-author analysis, co-word analysis and co-citation analysis.FindingsBM research mainly focuses on five subjects, namely, environmental science, engineering, business, economics, science and technology. Keywords “strategy”, “capability”, “perspective” and “design” receive the highest centrality index, which suggests that the strategy design and corporate capability are indispensable elements when designing or innovating a company's BM. “BM canvas” and “resource based view” received the burst citations in the recent decade. Twelve research clusters are identified, including performance evaluation, waste management, energy efficiency, BM, project business, professional capital, leadership and product innovation. These topics highlight three evolution direction for green building projects, i.e. life cycle-oriented value proposition, collaborative value delivery and innovative cost and revenue structure.Originality/valueThe findings contribute to a systematic understanding of the underlying mechanisms of BM for green buildings and illuminate the development trend of business strategies for sustainability.

Protecting privacy on the web

2018 ◽  
Vol 42 (6) ◽  
pp. 734-751 ◽  
Author(s):  
Patrick O’Brien ◽  
Scott W.H. Young ◽  
Kenning Arlitsch ◽  
Karl Benedict
Keyword(s):  
Informed Consent ◽  
Privacy Protection ◽  
Design Methodology ◽  
Academic Library ◽  
Third Party ◽  
Home Pages ◽  
Content Type ◽  
Library Websites ◽  
Practical Implications ◽  
The Web

Purpose The purpose of this paper is to examine the extent to which HTTPS encryption and Google Analytics services have been implemented on academic library websites, and discuss the privacy implications of free services that introduce web tracking of users. Design/methodology/approach The home pages of 279 academic libraries were analyzed for the presence of HTTPS, Google Analytics services and privacy-protection features. Findings Results indicate that HTTPS implementation on library websites is not widespread, and many libraries continue to offer non-secured connections without an automatically enforced redirect to a secure connection. Furthermore, a large majority of library websites included in the study have implemented Google Analytics and/or Google Tag Manager, yet only very few connect securely to Google via HTTPS or have implemented Google Analytics IP anonymization. Practical implications Librarians are encouraged to increase awareness of this issue and take concerted and coherent action across five interrelated areas: implementing secure web protocols (HTTPS), user education, privacy policies, informed consent and risk/benefit analyses. Originality/value Third-party tracking of users is prevalent across the web, and yet few studies demonstrate its extent and consequences for academic library websites.

Ranking web as indicator of knowledge diffusion: an application for SMEs

2020 ◽  
Vol 33 (2) ◽  
pp. 219-240
Author(s):  
Magaly Gaviria-Marin ◽  
Claudio Cruz-Cázares
Keyword(s):  
Web 2.0 ◽  
Small And Medium Enterprises ◽  
Online Information ◽  
Content Type ◽  
Logistic Regression Models ◽  
Business Information ◽  
Online Business ◽  
Medium Enterprises ◽  
Information Providers ◽  
The Web

PurposeThe purpose of this article is to analyze the influence of the diversity of information and the use of Web 2.0 applications on the web positioning of online business information providers.Design/methodology/approachA total of 203 online business information provider websites were selected using three search engines (Google, Yahoo and Bing). This information was encoded to develop two logistic regression models.FindingsThe results suggest that the knowledge offered and the resources used to transfer this knowledge play important roles in the web positioning of online business information providers. This study found that entrepreneurs mainly seek technological knowledge, and to acquire it, they use various Web 2.0 applications that do not necessarily include social networks.Practical implicationsThis article presents a novel proposal to analyze how knowledge diversity and Web 2.0 applications influence the web rankings of websites that offer information and knowledge for established or new, small and medium enterprises.Originality/valueThis article is novel in that it links the theory of knowledge dissemination with the technologies of the Internet (websites, Web 2.0 applications) and provides evidence of diverse sources of online information that are potentially useful for the entrepreneur of the twentieth century.

Quality measures for skos

2018 ◽  
Vol 52 (3) ◽  
pp. 405-423 ◽  
Author(s):  
Riccardo Albertoni ◽  
Monica De Martino ◽  
Paola Podestà
Keyword(s):  
Linked Data ◽  
Design Methodology ◽  
Quality Measures ◽  
Third Party ◽  
Data Set ◽  
Content Type ◽  
Knowledge Organisation ◽  
The Cross ◽  
The Web

Purpose The purpose of this paper is to focus on the quality of the connections (linkset) among thesauri published as Linked Data on the Web. It extends the cross-walking measures with two new measures able to evaluate the enrichment brought by the information reached through the linkset (lexical enrichment, browsing space enrichment). It fosters the adoption of cross-walking linkset quality measures besides the well-known and deployed cardinality-based measures (linkset cardinality and linkset coverage). Design/methodology/approach The paper applies the linkset measures to the Linked Thesaurus fRamework for Environment (LusTRE). LusTRE is selected as testbed as it is encoded using a Simple Knowledge Organisation System (SKOS) published as Linked Data, and it explicitly exploits the cross-walking measures on its validated linksets. Findings The application on LusTRE offers an insight of the complementarities among the considered linkset measures. In particular, it shows that the cross-walking measures deepen the cardinality-based measures analysing quality facets that were not previously considered. The actual value of LusTRE’s linksets regarding the improvement of multilingualism and concept spaces is assessed. Research limitations/implications The paper considers skos:exactMatch linksets, which belong to a rather specific but a quite common kind of linkset. The cross-walking measures explicitly assume correctness and completeness of linksets. Third party approaches and tools can help to meet the above assumptions. Originality/value This paper fulfils an identified need to study the quality of linksets. Several approaches formalise and evaluate Linked Data quality focusing on data set quality but disregarding the other essential component: the connection among data.

What does it say and who said it? The contingent effects of online word of mouth in China

2016 ◽  
Vol 7 (4) ◽  
pp. 474-490 ◽  
Author(s):  
Biao Luo ◽  
Zheyu Zhang ◽  
Yong Liu ◽  
Weihe Gao
Keyword(s):  
Information Exchange ◽  
Word Of Mouth ◽  
Firm Strategy ◽  
Third Party ◽  
Online Information ◽  
Chinese Consumers ◽  
Content Type ◽  
Online Word Of Mouth ◽  
Initial Attitude ◽  
The Impact

Purpose The purpose of this paper is to examine how consumers respond to online word of mouth (WOM) with different valence (i.e. what does it say) and from different sources (i.e. who said it) in an important emerging economy, China. Design/methodology/approach Theory with experiments. Findings The authors find that Chinese consumers seek confirmatory information and pay greater attention to WOM that agrees with their initial attitude. Consumers with a high (vs low) need for cognition are more likely to rate WOM from far (vs closer) social distance as more impactful on themselves. For public-consumption products, the consumers are influenced more by “who said it” (source) than by “what does it say” (valence). The reverse holds for private consumption. Research limitations/implications The paper could be extended to other online behaviors. It can also be extended to empirical testing using market data. Practical implications Since Chinese consumers tend to focus on online information that is consistent with their initial attitude, it can be more difficult for either the seller or third-party website to utilize online WOM as a persuasive tool in China than in other countries. Firms may also customize their online strategies based on product category. For products that are consumed in private, WOM content is more important than source. If the firm wants to facilitate consumer interaction and influence, greater attention should be paid to make the content easy to access and utilize. Social implications Due to the explosive growth of e-Commerce in China, many global and Chinese firms rushed to set up online communities to facilitate information exchange among consumers. Our findings indicate that the impact of these communities may have been overvalued. Chinese consumers are influenced by online information, but if the majority of the online messages are from anonymous strangers, consumers tend to discount their credibility. Originality/value Our study represents an earlier effort to predict, and test, how online WOM can be associated with the specific cultural and market environments. It provides direct implications for both consumer behavior and firm strategy.

scholarly journals Association between Search Behaviors and Disease Prevalence Rates at 18 U.S. Children's Hospitals

2017 ◽  
Vol 08 (04) ◽  
pp. 1144-1152
Author(s):  
Dennis Daniel ◽  
Traci Wolbrink ◽  
Tanya Logvinenko ◽  
Marvin Harper ◽  
Jeffrey Burns
Keyword(s):  
Prevalence Rate ◽  
Large Scale ◽  
Disease Prevalence ◽  
Search Rate ◽  
Online Information ◽  
Prevalence Rates ◽  
Children's Hospitals ◽  
Search Queries ◽  
Children’S Hospitals ◽  
The Relationship

Background Usage of online resources by clinicians in training and practice can provide insight into knowledge gaps and inform development of decision support tools. Although online information seeking is often driven by encountered patient problems, the relationship between disease prevalence and search rate has not been previously characterized. Objective This article aimed to (1) identify topics frequently searched by pediatric clinicians using UpToDate (http://www.uptodate.com) and (2) explore the association between disease prevalence rate and search rate using data from the Pediatric Health Information System. Methods We identified the most common search queries and resources most frequently accessed on UpToDate for a cohort of 18 children's hospitals during calendar year 2012. We selected 64 of the most frequently searched diseases and matched ICD-9 data from the PHIS database during the same time period. Using linear regression, we explored the relationship between clinician query rate and disease prevalence rate. Results The hospital cohort submitted 1,228,138 search queries across 592,454 sessions. The majority of search sessions focused on a single search topic. We identified no consistent overall association between disease prevalence and search rates. Diseases where search rate was substantially higher than prevalence rate were often infectious or immune/rheumatologic conditions, involved potentially complex diagnosis or management, and carried risk of significant morbidity or mortality. None of the examined diseases showed a decrease in search rate associated with increased disease prevalence rates. Conclusion This is one of the first medical learning needs assessments to use large-scale, multisite data to identify topics of interest to pediatric clinicians, and to examine the relationship between disease prevalence and search rate for a set of pediatric diseases. Overall, disease search rate did not appear to be associated with hospital disease prevalence rates based on ICD-9 codes. However, some diseases were consistently searched at a higher rate than their prevalence rate; many of these diseases shared common features.

What users seek and share in online diabetes communities: examining similarities and differences in expressions and themes

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhizhen Yao ◽  
Bin Zhang ◽  
Zhenni Ni ◽  
Feicheng Ma
Keyword(s):  
Information Sharing ◽  
Health Information ◽  
Information Seeking ◽  
Large Scale ◽  
Self Management ◽  
Health Information Seeking ◽  
Self Disclosure ◽  
Content Type ◽  
Network Analyses ◽  
Similarities And Differences

PurposeThis paper aims to investigate user health information seeking and sharing patterns and content in an online diabetes community and explore the similarities and differences in the ways and themes they expressed.Design/methodology/approachMultiple methods are applied to analyze the expressions and themes that users seek and share based on large-scale text data in an online diabetes community. First, a text classifier using deep learning method is performed based on the expression category this study developed. Second, statistical and social network analyses are used to measure the popularity and compare differences between expressions. Third, topic modeling, manual coding and similarity analysis are used to mining topics and thematic similarity between seeking and sharing threads.FindingsThere are four different ways users seek and share in online health communities (OHCs) including informational seeking, situational seeking, objective information sharing and experiential information sharing. The results indicate that threads with self-disclosure could receive more replies and attract more users to contribute. This study also examines the 10 topics that were discussed for information seeking and 14 topics for information sharing. They shared three discussion themes: self-management, medication and symptoms. Information about symptoms can be largely matched between seeking and sharing threads while there is less overlap in self-management and medication categories.Originality/valueBeing different from previous studies that mainly describe one type of health information behavior, this paper analyzes user health information seeking and sharing behaviors in OHCs and investigates whether there is a correspondence or discrepancy between expressions and information users spontaneously seek and share in OHCs.

scholarly journals The “celebrities” in finance: a citation analysis of finance journals

2017 ◽  
Vol 34 (2) ◽  
pp. 166-182 ◽  
Author(s):  
Angelito Calma
Keyword(s):  
Citation Analysis ◽  
Design Methodology ◽  
Large Scale ◽  
Web Of Science ◽  
University Of California ◽  
Content Type ◽  
Publication History ◽  
Common Risk Factors ◽  
Us University ◽  
The Web

Purpose The purpose of this paper is to examine the ten highly ranked journals in finance, and identify the most published authors, most cited articles, top publishing countries, top publishing universities, top publication years and the most discussed topics using keywords. Design/methodology/approach Using the services of the Web of Science™ (WoS), all the available data about each journal’s published articles were extracted. A total of 6,029 articles containing 23,521 keywords and 208,905 cited references were analysed. Findings Results indicate that Viscusi, Chemmanur and Statman are the most published authors. The most cited article is Fama and French’s (1993) article – Common risk factors in the returns on stocks and bonds – with 522 citations. The most cited author is Eugene Fama with 2,848 citations followed by Michael Jensen with 1,367 citations. USA and England contributed more articles than any other country, where US University of California System ranked first. “Information”, “risk” and “market” were the most discussed topics. Findings from this study reveal not only the popular authors, articles and topics in the scholarly finance literature, but also the lesser-known areas of research, which may need attention. Originality/value It is the first large-scale citation analysis study of its kind, representing data from 178 years of combined publication history.

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