Mitigating Information Trust

2016 ◽  
Vol 7 (1) ◽  
pp. 16-33 ◽  
Author(s):  
Himani Singal ◽  
Shruti Kohli
Keyword(s):  
Analytical Data ◽  
User Interaction ◽  
Search Results ◽  
Novel Technique ◽  
Attitudinal Factors ◽  
Health Related ◽  
Information Trust ◽  
Sensitive Issues ◽  
The Web

Trusting any information on web is psychosomatic and subliminal by nature. The decision is left on the requestor to assess, judge and corroborate the contents contained in the websites before perceiving it. This is of acute concern when websites deal with sensitive issues like health. There is no standard mechanism that embodies or characterizes how to make these ‘trust' decisions. Although all the web users make these decisions on a frequent basis, there is no method to comply with the rationale to take such decisions. This paper is an attempt to provide a solution to the problem of ‘how much the content, typically provided by any health related website should be trusted?' A probing has been done to study the users' behavior on these websites. This cram makes use of real-time analytical data collected from similarweb.com for hundred health related websites to analyze web users' behavior. The goalmouth is to develop a novel technique to re-rank search results using TRUST as a deciding factor so that more trustworthy web links appears higher in the results list. The aim is to determine and discern the users' attitudinal factors that can be captured in practice without user interaction and also capitalize on the quality of the trust estimates.

scholarly journals Resources and Capabilities from Their Very Outset: a Bibliometric Comparison Between Scopus and the Web of Science

2018 ◽  
Vol 10 (4) ◽  
pp. 1
Author(s):  
Mileidy Alvarez-Melgarejo ◽  
Martha L. Torres-Barreto
Keyword(s):  
Web Of Science ◽  
Bibliographic Databases ◽  
Scientific Publications ◽  
Bibliometric Method ◽  
Search Results ◽  
Resources And Capabilities ◽  
New Research ◽  
The Relationship ◽  
The Web

The bibliometric method has proven to be a powerful tool for the analysis of scientific publications, in such a way that allows rating the quality of the knowledge generating process, as well as its impact on firm´s environment. This article presents a comparison between two powerful bibliographic databases in terms of their coverage and the usefulness of their content. The comparison starts with a subject associated to the relationship between resources and capabilities. The outcomes show that the search results differ between both databases. The Web Of Science (WOS), has a greater coverage than SCOPUS has.  It also has a greater impact in terms of most cited authors and publications. The search results in the WOS yield articles from 2001, while Scopus yields articles from 1976, however, some of the latter are inconsistent with the topic being searched. The analysis points to a lack of studies regarding resources as foundations of firm´s capabilities; as a result, new research on this field is suggested.

scholarly journals PREDICTION OF DESIGN ASPECTS OF WEB PAGE BY HTML PARSER

2020 ◽  
Vol 5 (2) ◽  
pp. 143-158
Author(s):  
Satinder Kaur ◽  
Sunil Gupta
Keyword(s):  
User Interaction ◽  
Web Pages ◽  
Evaluation Tool ◽  
Web Page ◽  
Design Quality ◽  
Automated Evaluation ◽  
The World ◽  
Before And After ◽  
The Web

Inform plays a very important role in life and nowadays, the world largely depends on the World Wide Web to obtain any information. Web comprises of a lot of websites of every discipline, whereas websites consists of web pages which are interlinked with each other with the help of hyperlinks. The success of a website largely depends on the design aspects of the web pages. Researchers have done a lot of work to appraise the web pages quantitatively. Keeping in mind the importance of the design aspects of a web page, this paper aims at the design of an automated evaluation tool which evaluate the aspects for any web page. The tool takes the HTML code of the web page as input, and then it extracts and checks the HTML tags for the uniformity. The tool comprises of normalized modules which quantify the measures of design aspects. For realization, the tool has been applied on four web pages of distinct sites and design aspects have been reported for comparison. The tool will have various advantages for web developers who can predict the design quality of web pages and enhance it before and after implementation of website without user interaction.

scholarly journals Dataset or Not? A Study on the Veracity of Semantic Markup for Dataset Pages

2021 ◽  
pp. 338-356
Author(s):  
Tarfah Alrashed ◽  
Dimitris Paparas ◽  
Omar Benjelloun ◽  
Ying Sheng ◽  
Natasha Noy
Keyword(s):  
Deep Neural Network ◽  
Controlled Vocabulary ◽  
Enabling Technology ◽  
Search Results ◽  
The Core ◽  
Vertical Search ◽  
Vertical Search Engine ◽  
Semantic Markup ◽  
The Web

AbstractSemantic markup, such as , allows providers on the Web to describe content using a shared controlled vocabulary. This markup is invaluable in enabling a broad range of applications, from vertical search engines, to rich snippets in search results, to actions on emails, to many others. In this paper, we focus on semantic markup for datasets, specifically in the context of developing a vertical search engine for datasets on the Web, Google’s Dataset Search. Dataset Search relies on to identify pages that describe datasets. While was the core enabling technology for this vertical search, we also discovered that we need to address the following problem: pages from 61% of internet hosts that provide markup do not actually describe datasets. We analyze the veracity of dataset markup for Dataset Search’s Web-scale corpus and categorize pages where this markup is not reliable. We then propose a way to drastically increase the quality of the dataset metadata corpus by developing a deep neural-network classifier that identifies whether or not a page with markup is a dataset page. Our classifier achieves 96.7% recall at the 95% precision point. This level of precision enables Dataset Search to circumvent the noise in semantic markup and to use the metadata to provide high quality results to users.

scholarly journals Measuring the quality of scientific references in Wikipedia: an analysis of more than 115M citations to over 800,000 scientific articles

2020 ◽  
Author(s):  
Joshua M. Nicholson ◽  
Ashish Uppala ◽  
Matthias Sieber ◽  
Peter Grabitz ◽  
Milo Mordaunt ◽  
...  
Keyword(s):  
Machine Learning ◽  
Web Of Science ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Supporting Evidence ◽  
Novel Technique ◽  
Wide Variability ◽  
The Web ◽  
Massive Database

AbstractWikipedia is a widely used online reference work which cites hundreds of thousands of scientific articles across its entries. The quality of these citations has not been previously measured, and such measurements have a bearing on the reliability and quality of the scientific portions of this reference work. Using a novel technique, a massive database of qualitatively described citations, and machine learning algorithms, we analyzed 1,923,575 Wikipedia articles which cited a total of 824,298 scientific articles, and found that most scientific articles (57%) are uncited or untested by subsequent studies, while the remainder show a wide variability in contradicting or supporting evidence (2-41%). Additionally, we analyzed 51,804,643 scientific articles from journals indexed in the Web of Science and found that most (85%) were uncited or untested by subsequent studies, while the remainder show a wide variability in contradicting or supporting evidence (1-14%).

Quality of health-related online search results

2014 ◽  
Vol 57 ◽  
pp. 454-462 ◽  
Author(s):  
Brent Kitchens ◽  
Christopher A. Harle ◽  
Shengli Li
Keyword(s):  
Online Search ◽  
Search Results ◽  
Health Related

scholarly journals Interactive Web Maps: Usability Heuristics Proposal

2021 ◽  
Vol 4 ◽  
pp. 1-8
Author(s):  
Juliana Orro Marquez ◽  
Paulo Meirelles ◽  
Tiago Silva da Silva
Keyword(s):  
User Interaction ◽  
The Internet ◽  
Digital Maps ◽  
Interactive Maps ◽  
Domain Specific ◽  
Geographic Data ◽  
Evolution Of Technology ◽  
Computational Resources ◽  
The Web

Abstract. With the evolution of technology, maps have changed how they are produced and consumed. In the 1990s, along with the internet uprise, printed and digital maps began to be shared and viewed on the web, which provided more significant user interaction with the map and geographic data. However, the ease of creating interactive maps using computational resources sometimes neglects cartographic concepts, impairing the interpretation of geographic data and the quality of the interaction between user and system. This work presents ten specific Usability Heuristics for Interactive Web Maps to identify and elaborate a set of criteria that help create and evaluate the quality of interactive web maps. For this, we used a methodology to develop domain-specific Usability Heuristics, composed of eight steps. This paper presents the ten heuristics elaborated along with the attributes of the name, ID, category and definition, and an additional checklist. This new set encompasses both the concepts of cartography and usability, contributing to better user interaction with the system and geographic data.

YouTube Videos on Parkinson’s Disease are a Relevant Source of Patient Information

2021 ◽  
pp. 1-10
Author(s):  
Anne K. Braczynski ◽  
Bergita Ganse ◽  
Stephanie Ridwan ◽  
Christian Schlenstedt ◽  
Jörg B. Schulz ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Video Content ◽  
Search Results ◽  
Related Information ◽  
Global Quality ◽  
Quality Video ◽  
Health Related ◽  
Youtube Videos

Background: Parkinson’s disease (PD) is the most frequent movement disorder. Patients access YouTube, one of the largest video databases in the World, to retrieve health-related information increasingly often. Objective: We aimed to identify high-quality publishers, so-called “channels” that can be recommended to patients. We hypothesized that the number of views and the number of uploaded videos were indicators for the quality of the information given by a video on PD. Methods: YouTube was searched for 8 combinations of search terms that included “Parkinson” in German. For each term, the first 100 search results were analyzed for source, date of upload, number of views, numbers of likes and dislikes, and comments. The view ratio (views / day) and the likes ratio (likes * 100 / [likes + dislikes]) were determined to calculate the video popularity index (VPI). The global quality score (GQS) and title - content consistency index (TCCI) were assessed in a subset of videos. Results: Of 800 search results, 251 videos met the inclusion criteria. The number of views or the publisher category were not indicative of higher quality video content. The number of videos uploaded by a channel was the best indicator for the quality of video content. Conclusion: The quality of YouTube videos relevant for PD patients is increased in channels with a high number of videos on the topic. We identified three German channels that can be recommended to PD patients who prefer video over written content.

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