Search engines’ responses to several search feature selections

Googling for Health Information

Variability of patient spine education by Internet search engine

Hand in hand with technological advancements, treatment modalities continue to grow. With the turn of the century, the internet has become the number one source of information for almost every topic. Thus, many patients look toward the internet as their primary source of information to learn about their respective medical conditions. The American Medical Association and National Institute of Health strongly recommend that online medical information be written at the 6th to 8th-grade level to aid comprehension by patients of all literacy backgrounds. To assess the readability of online information regarding Jones fracture. Our hypothesis is that the reading level of medical information published on websites far exceeds the recommended reading level of 6th-8th grade as proposed by the American Medical Associate and National Institute of Health. The result of this study can help us formulate improved recommendations for publishing more comprehensible material and, thus, eventually improve patient compliance and clinical outcomes. The exact phrase "Jones fracture" was queried on the three most common search engines, Google, Yahoo!, and Bing, on December 28, 2022. As of December 2022, Google held 84%, Bing held 9%, and Yahoo! held 2% of the worldwide search engine market share. Web pages uniform resource locator from the first three pages of search results were recorded from each search engine. These web pages were classified according to academic, physician-sponsored, governmental and non-government organizations (NGO), commercial, and unspecified as per formally defined categories. Websites associated with an educational institution or medical organization were classified as academic. Websites with products for sale, corporate sponsorship, or advertisements were classified as commercial. Governmental websites or NGOs comprised those that received government subsidies or grants. Webpages that were independently owned by physicians or physician groups were respectively classed as physician sponsored. The remainder of websites that did not fall under the above categories were classified as unspecified. A total of 93 websites were analyzed for reading assessment. A whopping 44% of websites were commercial, followed by 22% of physician-sponsored websites. Third place belonged to non-government organization websites holding a 15% share. The academic website held a meager 9% portion, while unspecified sites were 3%. The table illustrates mean readability scores, along with average cumulative grade level. The average grade level was 10.95 ± 2.28 for all websites, with a range of 6.18 to 18.90. Since P values were more than 0.05, there was not a significant statistical difference between the first page results and the results of all pages. Thus, we can rationalize that readability scores are consistent throughout all pages of a website. Hand in hand with technological advancements, treatment modalities continue to grow. With the turn of the century, the internet has become the number one source of information for almost every topic. Thus, many patients look towards the internet as the primary source of information to learn about their respective medical conditions. Our study demonstrates that current online medical information regarding Jones fracture is written at an extraordinarily high-grade level, with an average grade level of all websites at 10.95, nearly an 10th-grade educational level. The American Medical Association and National Institute of Health strongly recommend that online medical information should be written at the 6th to 8th-grade level to aid comprehension by patients of all literacy backgrounds. On the contrary, most of the medical information evaluated was at an 10th-grade level, which far exceeds recommendations by AMA and NIH. This is particularly relevant because readability scores are directly proportional to the level of comprehension attained by readers, thus directly impacting patient outcomes. In conclusion, we suggest and encourage that all online reading materials should be re-written at the 6th to 8th-grade level in a public service effort to increase compliance with treatment goals and raise awareness of preventive measures.

Search engines are web-based systems used for retrieving information from the Internet. They have economic power because of their positioning between information providers and information seekers. Search engines can influence the flow of information – possible business transactions – by the way information is indexed, stored, and portrayed as search results. If a search engine provides good coverage of website content from one group of information providers (grouped by country or language) to the detriment of another group, it will have economic implications for both groups. It is known that certain developed countries and the language(s) of these countries, have better coverage than other developed countries and their languages. This study investigates for the first time the website coverage of a developing country, South Africa, and one of its indigenous languages, Afrikaans. What does the existence of search engine country bias and/or linguistic bias imply for developing countries such as South Africa? South African information providers would have reason for concern if information seekers’ attention were continually routed abroad by biased search engines. South African information seekers would also be done an injustice if they cannot find local web content (or content in their indigenous languages) due to poor search engine coverage. Biased search results guide them away from cheaper, more convenient local information due to poor coverage of local content. Search engines are negatively impacted in turn, when users become tired of the poor local coverage and unwanted international search results and turn to other tools, such as local search engines, for information retrieval. How severe are the effects of search engine bias on developing countries such as South Africa? The body of knowledge discussing search engine bias is very limited, and this study is motivated by stating that, given the possibility of negative economic implications of such bias for developing economies, more research on this topic is justified and urgently needed. The study revealed that Western website content enjoys better coverage than South African website content. After further investigation it was also found that English website content enjoys better coverage than website content in Afrikaans. There is, therefore, a proven search engine bias in favour of Western developed countries and the English language. Website visibility is also studied as a possible cause of search engine bias. It would seem plausible that a relationship may exist between the coverage of websites by search engines and how visible these websites are to a search engine’s crawlers. For the determination of website visibility, the number of in links towards each sample domain was determined. This study shows that the higher visibility of websites from developed countries is a cause of search engine bias in favour of these websites. With website visibility proven as a cause of bias, the study indicates that South Africa, and possibly other developing countries, is lagging far behind in the race to create highly visible websites surrounded by well-covered hyperlink structures – the kind of websites most likely to be covered by search engine crawlers. It is the responsibilty of information providers from developing countries to create more hyperlinks between websites from their countries, as well as creating visible website content in their indigenous languages. Search engine coverage bias has negative economic implications for developing countries such as South Africa. This paper investigates the severity of country related coverage bias against websites from the South African domain(s) and the correlation between website coverage and website visibility. Other possible causes of coverage bias found in literature include indexing algorithms, ranking algorithms and lexicons struggling with non-English content. Information providers’ lack of knowledge about website coverage and search engine tools is discussed as another possible cause of country bias.

Since current general interest in anesthesia is unknown, we analyzed internet keyword searches to gauge general interest in anesthesia in comparison with surgery and pain. The trend of keyword searches from 2004 to 2010 related to anesthesia and anaesthesia was investigated using Google Insights for Search. The trend of number of peer reviewed articles on anesthesia cited on PubMed and Medline from 2004 to 2010 was investigated. The average cost on advertising on anesthesia, surgery and pain was estimated using Google AdWords. Searching results in other common search engines were also analyzed. Correlation between year and relative number of searches was determined with p< 0.05 considered statistically significant. Searches for the keyword "anesthesia" or "anaesthesia" diminished since 2004 reflected by Google Insights for Search (p< 0.05). The search for "anesthesia side effects" is trending up over the same time period while the search for "anesthesia and safety" is trending down. The search phrase "before anesthesia" is searched more frequently than "preanesthesia" and the search for "before anesthesia" is trending up. Using "pain" as a keyword is steadily increasing over the years indicated. While different search engines may provide different total number of searching results (available posts), the ratios of searching results between some common keywords related to perioperative care are comparable, indicating similar trend. The peer reviewed manuscripts on "anesthesia" and the proportion of papers on "anesthesia and outcome" are trending up. Estimates for spending of advertising dollars are less for anesthesia-related terms when compared to that for pain or surgery due to relative smaller number of searching traffic. General interest in anesthesia (anaesthesia) as measured by internet searches appears to be decreasing. Pain, preanesthesia evaluation, anesthesia and outcome and side effects of anesthesia are the critical areas that anesthesiologists should focus on to address the increasing concerns.

Introduction: &#x0D; Access to Health Information is very essential for promoting health literacy, self-care, shared decision making, medication adherence. The Internet is one of the main resources of health information. Many studies showed the main gateway for seeking health information was search engines. But finding qualified health information is a challenge. Therefore, this study aimed to introduce top health Searches engines and review their features.&#x0D; Methods:&#x0D; According to the literature review, 10 health Searches engines were selected. Common features of each search engine, such as the ability to create profiles, the type of health information provided, target users, health information sources contained in the search engine, and the unique feature and other features, were reviewed and the comparison table was provided. A common search scenario was also tested on all search engines and the result of the data retrieval was reported by the search engine.&#x0D; Results:&#x0D; health Searches engine like that PubMed، Med scape، McGraw-Hill Medical، iMediSearch، medicin.net, Hardin.Md، Health line ، EMedicine، Merck and Ovid were chosen and reported.&#x0D; Conclusion:&#x0D; The results of this study can help users such as patient to choose a valid health searches engine and also help them to find health searches engine appropriate for their health problem and know what features in health website is important.

Search engines match user queries with webpages. Search efficiency, increases when data-driven network effects attract more users and generate economies of scale and scope in data aggregation. Network effects enhance user welfare but also trigger antitrust concerns because they may “tip” the market towards a single dominant search engine – Google Search. The EU Digital Markets Act imposes an obligation on very large gatekeepers search engines to share their user data with smaller search engines to facilitate market entry and competition. The available empirical literature on search engine efficiency shows that asymmetric data sharing, from larger to smaller search engines, may increase competition but reduce user welfare because it fragments the user data pool that is crucial for efficiency, in particular for rare queries. Tension between competition and user welfare can be overcome by symmetric and mutual data sharing between all search engines, irrespective of market share.

A search engine that can return the ideal results for a person's information need, independent of the specific query that is used to express that need, would be preferable to one that is overly swayed by the individual terms used; search engines should be consistent in the presence of syntactic query variations responding to the same information need. In this paper we examine the retrieval consistency of a set of five systems responding to syntactic query variations over one hundred topics, working with the UQV100 test collection, and using Rank-Biased Overlap (RBO) relative to a centroid ranking over the query variations per topic as a measure of consistency. We also introduce a new data fusion algorithm, Rank-Biased Centroid (RBC), for constructing a centroid ranking over a set of rankings from query variations for a topic. RBC is compared with alternative data fusion algorithms. Our results indicate that consistency is positively correlated to a moderate degree with deep'' relevance measures. However, it is only weakly correlated with shallow'' relevance measures, as well as measures of topic complexity and variety in query expression. These findings support the notion that consistency is an independent property of a search engine's retrieval effectiveness.

The advent of Google and other modern search engines makes the wealth of information that could be discovered on the Web universally accessible. The information retrieval techniques used by these search engines are mostly effective when applied on English Web collections; however, there are many challenges that need to be addressed when using these engines on non-English Web collections. In this paper, we present Nabu - a Web metasearch engine that, for a given user query, customizes the results obtained from an underlying search service with the aim of providing effective retrieval on Macedonian Web collections. In addition to the main Web search service, Nabu also offers services such as news, hardware, image and video search, which makes it a fully-featured Macedonian Web search portal. Results of our analysis of the query logs and usage statistics, coupled with feature comparisons to other Macedonian Web search engines, demonstrate that the services offered by Nabu are being effectively used and increasingly adopted by the Macedonian Web users.

SUMMARYSearch services are the main interface through which people discover information on the Internet. A fundamental challenge in testing search services is the lack of oracles. The sheer volume of data on the Internet prohibits testers from verifying the results. Furthermore, it is difficult to objectively assess the ranking quality because different assessors can have very different opinions on the relevance of a Web page to a query. This paper presents a novel method for automatically testing search services without the need of a human oracle. The experimental findings reveal that some commonly used search engines, including Google, Yahoo!, and Live Search, are not as reliable as what most users would expect. For example, they may fail to find pages that exist in their own repositories, or rank pages in a way that is logically inconsistent. Suggestions are made for search service providers to improve their service quality. Copyright © 2010 John Wiley &amp; Sons, Ltd.

The Secondary Development of Site Search Based on Common Search Engines

Research on Deep Web Surfacing Based on Common Search Engines

The quality and reliability of Internet-based arthritis information were studied. The search terms "arthritis," "osteoarthritis," and 'rheumatoid arthritis" were entered into the AOL, MSN, Yahoo, Google, and Lycos search engines. The Web sites for the first 40 matches generated by each search engine were grouped by URL suffix and evaluated on the basis of four categories of criteria: disease and medication information content, Web-site navigability, required literacy level, and currentness of information. Ratings were assigned by using an assessment tool derived from published literature (maximum score of 15 points). Of the 600 arthritis Web sites identified, only 69 were unique and included in the analysis. Fifty-seven percent were .com sites, 20% .org sites, 7% .gov sites, 6% .edu sites, and 10% other sites. Total scores for individual sites reviewed ranged from 3 to 14. Eighty percent of .gov sites, 75% of .edu sites, 29% of other sites, 36% of .com sites, and 21% of .org sites were within the top tertile of scores. No Web site met the criterion for being understandable to people with no more than a sixth-grade reading ability. .Gov sites scored significantly higher overall than .com sites, .org sites, and other sites. .Edu sites also scored relatively well. The quality of arthritis information on the Internet varied widely. Sites with URLs having suffixes of .gov and .edu were ranked higher than other types of sites.

This study investigates the accuracy of search engine hit counts for search queries. We investigate the accuracy of hit counts for Google, Yahoo and Microsoft Live Search, and the accuracy of single and multiple term queries. In addition, we investigate the consistency of hit count estimates for 15 days. The results show that all three provide estimates for the number of matching documents and the estimation patterns of their counting algorithms differ greatly. The accuracy of hit counts for multiple word queries has not been studied before. The results of our study show that the number of words in queries affects the accuracy of estimations significantly. The percentages of accurate hit count estimations are reduced almost by half when going from single word to two word query tests in all three search engines. With the increase in the number of query words, the error in estimation increases and the number of accurate estimations decreases.

Diversity, intent and aggregated search are three core retrieval concepts that receive significant attention. In search result diversification one typically considers the relevance of a document in light of other retrieved documents. The goal is to identify the probable of an ambiguous query, retrieve documents for each of these aspects and make the search results more diverse. By doing so, in the absence of any knowledge of users' context or preferences, the chance that the user will find at least one of these results to be relevant to their underlying information need is increased. Those probable of a query may refer to lexical ambiguity (e.g., flash -- Adobe Flash, flash light, flash gordon, flash airlines, flash mob,...) or to intentional ambiguity (e.g., pizza -- how to make one, where to buy one, images, nutritional value, background, restaurant,...). The automatic discovery of query intent has become an active research area, with a range of observational and algorithmic studies as outcomes. Understanding the likely intents behind a query can help search engines to automatically route the query to the corresponding vertical search engines so as to obtain particularly relevant results, thus greatly improving user satisfaction. In aggregated search the task is to search and assemble information from a variety of sources and to organize the resulting material within a single interface. The result page of a modern search engine often goes beyond a simple ranked list. Many specific intents are addressed by aggregated search solutions: specially presented documents, often retrieved from specific sources, that stand out from the regular organic search results.