Google Search Engine and its Usefulness to Library Professionals

2006 ◽  
Vol 26 (5) ◽  
pp. 23-28 ◽  
Author(s):  
Vivekanand Jain ◽  
Sanjiv Saraf
Keyword(s):  
Search Engine ◽  
Google Search ◽  
Library Professionals

scholarly journals The Observatory of the Américas as a network in environmental and worker health in the Americas

2003 ◽  
Vol 8 (4) ◽  
pp. 897-902 ◽  
Author(s):  
Carlos Eduardo Siqueira ◽  
Fernando Carvalho
Keyword(s):  
Search Engine ◽  
The Internet ◽  
Worker Health ◽  
Google Search

This article reviews the scope of several Observatories found by a search in the Internet through the Google search engine. After examining these observatories, it describes the aims and initial accomplishments of the Observatory of the Americas as a network of professionals and activists from different countries in the Americas. The article concludes with a discussion of the pattern identified among these observatories: they may be clearinghouses or networks, or both.

scholarly journals Perilaku Pencarian Informasi Generasi milenial untuk Memenuhi Kebutuhan Informasi Mahasiswa Universitas Negeri Padang

2019 ◽  
Vol 8 (1) ◽  
pp. 562
Author(s):  
Yuni Rahmah ◽  
Elva Rahmah
Keyword(s):  
Search Engine ◽  
Information Search ◽  
Information Seeking ◽  
Millennial Generation ◽  
Information Needs ◽  
Information Source ◽  
The Internet ◽  
State University ◽  
Google Search ◽  
Source Of Information

AbstractIn this paper the language about Millennial Generation Information Search Behavior To Meet Information Needs. This study aims to describe the information seeking behavior of the millennial generation to meet the information needs of this study at the Padang State University. Data were collected through observation and distribution of questionnaires with students of the Indonesian and Regional Languages and Literature Department at Padang State University. Analyzing the data, concluded the following matters. (1). Starting - consists of activities that initiate information seeking activities. In general (100%) determine the topic especially before conducting an information search, in general (90%) conduct information search after discussion or consultation with lecturers, in general (95.23%) know the information needs when attending lectures, (88.4 %) know the information needs specifically, and in general (88%) do information when they are aware of and know the need for information. (2). Chaining - activities following a series of citations, citations or forms of reconciliation between documents with each other. In general (92.8 uses a bibliography to search information, generally (90.4%) use the author's name from the core reference to look for other references in conducting information searches, and in general (92.9%) use subjects from core reference to look for other references (3) Browsing - merawak, looking for, but rather directed, in areas that are considered to have the potential for the information needed.In general (73%) libraries can always meet information needs, in general In general (95.2%) look for information on the internet if the information you are looking for is not found in the printed source of information, (92.8%) generally directly looking for information on the internet if the information you need is not found in the printed source of information, at generally (45.22%) query identification (keywords). (4). Differentiating - sorting, using the features in the information source as a basic reference for checking quality or information content. in general (88%) the internet is the main source of information, in general (92.84%) The source of information printed is still very much needed in fulfilling information needs. (5). Monitoring - monitoring progress by focusing on selected sources. In general (88.09%) looked for the latest information through the internet by searching for the latest articles, in general (78.56%) needed to find the latest information to enrich the reference sources. (6). Extracting - systematically digging in one source to retrieve information that is considered important. In general (90.47 when you need information you often search the search engine (google, yahoo), in general (88.09 often uses a journal database to get information, in general (78.56%) after getting information on the internet , you directly copy the information, in general (76.19%) use the "Google" search engine because it is more relevant than other search engines.Keywords: behavior, millennial generation and information.

scholarly journals Now-casting Romanian migration into the United Kingdom by using Google Search engine data

2021 ◽  
Vol 45 ◽  
pp. 1219-1254
Author(s):  
Andreea Avramescu ◽  
Arkadiusz Wiśniowski
Keyword(s):  
United Kingdom ◽  
Search Engine ◽  
The United Kingdom ◽  
Google Search

Filling the gaps

2013 ◽  
Vol 18 (2) ◽  
pp. 167-198 ◽  
Author(s):  
Antoinette Renouf ◽  
Andrew Kehoe
Keyword(s):  
Search Engine ◽  
American English ◽  
The Other ◽  
Combined Approach ◽  
Online Data ◽  
Graphical Output ◽  
Parent Project ◽  
Complementary Resource ◽  
Google Search ◽  
Text Study

The aim of this paper is to demonstrate the functionality of the WebCorp Linguist’s Search Engine (WebCorpLSE) by comparing it with two other freely-available online data resources: Google and the Corpus of Contemporary American English (COCA). In particular, the paper looks at how WebCorpLSE can fill gaps in these sources. It begins by contextualising the WebCorpLSE project in relation to its parent project, WebCorp, and other ‘web as corpus’ initiatives. It then outlines the advantages of WebCorpLSE over Google search, before turning to a comparison of WebCorpLSE with COCA. Comparisons are made by matching extracts of textual and graphical output generated by each system. It is shown that WebCorpLSE provides information not available via the other search mechanisms, and that it can thus, in accordance with Mair’s (2007) argument for a combined approach to diachronic text study, usefully serve not only as a stand-alone tool, but as a complementary resource.

scholarly journals Use of online promotion to encourage patient awareness of aspirin use to prevent heart attack and stroke

2018 ◽  
Vol 72 (11) ◽  
pp. 1059-1063 ◽  
Author(s):  
Brian G Southwell ◽  
Milton Eder ◽  
John Finnegan ◽  
Alan T Hirsch ◽  
Russell V Luepker ◽  
...  
Keyword(s):  
Health Promotion ◽  
Search Engine ◽  
Assessment Tool ◽  
Public Understanding ◽  
Series Data ◽  
Educational Tool ◽  
Self Assessment ◽  
Paid Search ◽  
General Search ◽  
Google Search

BackgroundLiterature on health promotion evaluation and public understanding of health suggests the importance of investigating behaviour over time in conjunction with information environment trends as a way of understanding programme impact. We analysed population response to online promotion of an educational tool built by the Ask About Aspirin campaign in the USA to inform people about aspirin as a preventive aid.MethodsWe collected 156 weeks of time series data on audience behaviour, namely use of a self-assessment tool. We then used the Autoregressive Integrated Moving Average (ARIMA) modelling to predict that outcome as a function of paid search engine advertising, paid social media promotion and general search interest in aspirin.ResultsThrough ARIMA modelling of tool engagement data adjusted for outcome series autocorrelation, we found a significant effect of online promotional effort on audience behaviour. Total paid search advertising positively predicted weekly total of individuals who started using the self-assessment tool, coefficient=0.023, t=3.28, p=0.001. This effect did not appear to be an artefact of broader secular trends, as Google search data on the topic of aspirin use did not add explanatory power in the final model nor did controlling for general search interest eliminate the significant coefficient for paid search promotion.ConclusionResults hold implications both for educational tool development and for understanding health promotion campaign effects. We witnessed substantial but ephemeral effects on tool use as a function of paid search efforts, suggesting prioritisation of efforts to affect search engine results as a dissemination tactic.

City Networks in Cyberspace and Time

2013 ◽  
pp. 1325-1345
Author(s):  
Andrew Boulton ◽  
Lomme Devriendt ◽  
Stanley D. Brunn ◽  
Ben Derudder ◽  
Frank Witlox
Keyword(s):  
Search Engine ◽  
Web Search ◽  
Global Financial Crisis ◽  
Current Knowledge ◽  
Global Climate ◽  
Urban System ◽  
Digital Information ◽  
Social Scientists ◽  
The Global Financial Crisis ◽  
Google Search

Geographers and social scientists have long been interested in ranking and classifying the cities of the world. The cutting edge of this research is characterized by a recognition of the crucial importance of information and, specifically, ICTs to cities’ positions in the current Knowledge Economy. This chapter builds on recent “cyberspace” analyses of the global urban system by arguing for, and demonstrating empirically, the value of Web search engine data as a means of understanding cities as situated within, and constituted by, flows of digital information. To this end, the authors show how the Google search engine can be used to specify a dynamic, informational classification of North American cities based on both the production and the consumption of Web information about two prominent current issues global in scope: the global financial crisis, and global climate change.

scholarly journals Can search result summaries enhance the web search efficiency and experiences of the visually impaired users?

2020 ◽  
Author(s):  
Aboubakr Aqle ◽  
Dena Al-Thani ◽  
Ali Jaoua
Keyword(s):  
Search Engine ◽  
Visually Impaired ◽  
Web Search ◽  
Task Completion ◽  
Formal Concept ◽  
Search Efficiency ◽  
User Interactions ◽  
Search Results ◽  
Search Tasks ◽  
Google Search

AbstractThere are limited studies that are addressing the challenges of visually impaired (VI) users when viewing search results on a search engine interface by using a screen reader. This study investigates the effect of providing an overview of search results to VI users. We present a novel interactive search engine interface called InteractSE to support VI users during the results exploration stage in order to improve their interactive experience and web search efficiency. An overview of the search results is generated using an unsupervised machine learning approach to present the discovered concepts via a formal concept analysis that is domain-independent. These concepts are arranged in a multi-level tree following a hierarchical order and covering all retrieved documents that share maximal features. The InteractSE interface was evaluated by 16 legally blind users and compared with the Google search engine interface for complex search tasks. The evaluation results were obtained based on both quantitative (as task completion time) and qualitative (as participants’ feedback) measures. These results are promising and indicate that InteractSE enhances the search efficiency and consequently advances user experience. Our observations and analysis of the user interactions and feedback yielded design suggestions to support VI users when exploring and interacting with search results.

scholarly journals Determinants of house price dynamics. What can we learn from search engine data?

2015 ◽  
Vol 66 (1) ◽  
pp. 99-127
Author(s):  
Marco Oestmann ◽  
Lars Bennöhr
Keyword(s):  
Search Engine ◽  
Fixed Effects ◽  
House Prices ◽  
House Price ◽  
Price Dynamics ◽  
Subprime Crisis ◽  
House Price Dynamics ◽  
Conventional Models ◽  
Real Estate Prices ◽  
Google Search

Abstract There is a broad literature on determinants of house price dynamics, which received increasing attention in the aftermath of the subprime crisis. Additional to macroeconomic standard variables, there might be other hard to measure or even unobservable factors influencing real estate prices. Using quarterly data, we try to increase the informational input of conventional models and capture such effects by including Google search engine query information into a set of standard fundamental variables explaining house prices. We use the house price index (HPI) published by Eurostat to perform fixed-effects regressions for a panel of 14 EU-countries comprising the years 2005-2013. We find that Google data as a single aggregate measure plays a prominent role in explaining house price developments.

scholarly journals A review of the impact of financing mechanisms on maternal health care in Australia

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Haylee Fox ◽  
Stephanie M. Topp ◽  
Emily Callander ◽  
Daniel Lindsay
Keyword(s):  
Health Care ◽  
Maternal Health ◽  
Health System ◽  
Search Engine ◽  
Grey Literature ◽  
Maternal Health Care ◽  
World Health ◽  
Google Search ◽  
The Impact ◽  
Out Of Pocket Costs

Abstract Background The World Health Organization states there are three interrelated domains that are fundamental to achieving and maintaining universal access to care - raising sufficient funds for health care, reducing financial barriers to access by pooling funds in a way that prevents out-of-pocket costs, and allocating funds in a way that promotes quality, efficiency and equity. In Australia, a comprehensive account of the mechanisms for financing the health system have not been synthesised elsewhere. Therefore, to understand how the maternal health system is financed, this review aims to examine the mechanisms for funding, pooling and purchasing maternal health care and the influence these financing mechanisms have on the delivery of maternal health services in Australia. Methods We conducted a scoping review and interpretative synthesis of the financing mechanisms and their impact on Australia’s maternal health system. Due to the nature of the study question, the review had a major focus on grey literature. The search was undertaken in three stages including; searching (1) Google search engine (2) targeted websites and (3) academic databases. Executive summaries and table of contents were screened for grey literature documents and Titles and Abstracts were screened for journal articles. Screening of publications’ full-text followed. Data relating to either funding, pooling, or purchasing of maternal health care were extracted for synthesis. Results A total of 69 manuscripts were included in the synthesis, with 52 of those from the Google search engine and targeted website (grey literature) search. A total of 17 articles we included in the synthesis from the database search. Conclusion Our study provides a critical review of the mechanisms by which revenues are raised, funds are pooled and their impact on the way health care services are purchased for mothers and babies in Australia. Australia’s maternal health system is financed via both public and private sources, which consequentially creates a two-tiered system. Mothers who can afford private health insurance – typically wealthier, urban and non-First Nations women - therefore receive additional benefits of private care, which further exacerbates inequity between these groups of mothers and babies. The increasing out of pocket costs associated with obstetric care may create a financial burden for women to access necessary care or it may cause them to skip care altogether if the costs are too great.

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