scholarly journals A Global Online Content Quality Check Solution

2020 ◽  
Author(s):  
Uyiosa Omoregie
Keyword(s):  
Information Quality ◽  
Online Content ◽  
Web Based ◽  
Intrinsic Nature ◽  
Content Quality ◽  
Online Social Media ◽  
Social Media Platforms ◽  
Check System ◽  
Quality Check

A global online analytical quality check system (and method) for online content analysis is presented. Web-based information (articles, commentary etc.) is analysed then scored based on criteria designed to evaluate the quality of analytical content. Content is then categorised as ‘analytical’ or ‘non-analytical’. Further labelling of the intrinsic nature of the content (e.g. ‘satire’ ‘political’ ‘scientific’) and users’ (content consumers) ratings completes the process. Applied to Web browsers and online social media platforms: the rating produced by the quality check can help users discern quality content, avoid being misinformed and engage more analytically with other users. This system can also be viewed as a theory of information quality.

scholarly journals Online Misinformation Analysis through Wittgensteinian Lens

2021 ◽  
Author(s):  
Uyiosa Omoregie
Keyword(s):  
Information Quality ◽  
Quality Analysis ◽  
Online Content ◽  
Web Based ◽  
Online Social Media ◽  
The World ◽  
Social Media Platforms ◽  
Novel Method ◽  
Analysis System

We propose a novel method for online misinformation analysis based on a Wittgensteinian approach. We found no previous work that use Wittgenstein’s early philosophy for misinformation analysis. The works of Ludwig Wittgenstein (1889-1951) are usually divided into two: the early and the later philosophy. Wittgenstein’s book Tractatus Logico-Philosophicus (TL-P) is regarded as his early masterpiece. The TL-P is concerned with the role facts play in the world. According to TL-P, the world is composed of facts and we connect with facts by our thoughts. Our thoughts picture the world and are expressed through propositions. The system for online content analysis, described here, is a descriptive tool to clarify the thoughts and propositions found within online content analysed. Web-based written non-graphical information (articles, commentary etc.) is analysed and then scored based on criteria designed to evaluate the information quality of the content. Our hypothesis is that when applied to Web browsers and online social media platforms, the rating produced by this information quality analysis system will help users discern content qualitatively and engage more analytically with other users.

scholarly journals A Wittgensteinian Approach to Online Content Misinformation Analysis

2021 ◽  
Author(s):  
Uyiosa Omoregie
Keyword(s):  
Information Quality ◽  
Web Browsers ◽  
Online Content ◽  
Online Social Media ◽  
Online Platforms ◽  
Social Media Platforms ◽  
Quality Check ◽  
Fact Checking ◽  
Theory Of Information ◽  
Content Information

How can misinformation online (World Wide Web) be effectively analysed? Online platforms initially left content consumers to discern for themselves whether information online was true or false. Outright censoring of content followed and then fact-checking. We propose in this paper that misinformation analysis should aim to make clear what is stated by clarifying the propositions and claims in such content. The early philosophy of Ludwig Wittgenstein (1889-1951) is relevant for such analysis. Presented here is an online content information quality check model for written (non-graphical) misinformation analysis and prevention. This model is inspired by Wittgenstein’s book Tractatus Logico-Philosophicus. Applied to Web browsers and online social media platforms, the rating and labelling of content with this model can help users discern content qualitatively, avoid being misinformed and engage more analytically with other users. This Wittgensteinian model can also be viewed as a theory of information quality.

scholarly journals Fake News Detection System Using machine Learning

2021 ◽  
Vol 10 (6) ◽  
pp. 12-15
Keyword(s):  
Information Quality ◽  
Detection System ◽  
Fake News ◽  
Web Based ◽  
News Stories ◽  
News Sources ◽  
Quality Check ◽  
Media Channels ◽  
Highlight Extraction

Expansion of deluding data in ordinary access news sources, for example, web-based media channels, news web journals, and online papers have made it testing to distinguish reliable news sources, hence expanding the requirement for computational apparatusesready to give bits of knowledge into the unwavering quality of online substance. In this paper, every person center around the programmed ID of phony substance in the news stories. In the first place, all of us present a dataset for the undertaking of phony news identification. All and sundry depict the pre-preparing, highlight extraction, characterization and forecast measure in detail. We've utilized Logistic Regression language handling strategies to order counterfeit news. The prepreparing capacities play out certain tasks like tokenizing, stemming and exploratory information examination like reaction variable conveyance and information quality check (for example invalid or missing qualities). Straightforward pack of-words, n-grams, TF-IDF is utilized as highlight extraction strategies. Strategic relapse model is utilized as classifier for counterfeit news identification with likelihood of truth.

scholarly journals Kualitas dan Kepuasan Pengguna Terhadap Sistem Informasi Akademik Berbasis Web

2017 ◽  
pp. 84
Author(s):  
I Gusti Ngurah Agung Suaryana ◽  
Eka Damayanthi ◽  
Lely Merkusiwati
Keyword(s):  
Information System ◽  
Service Quality ◽  
Information Quality ◽  
System Development ◽  
Educational Institutions ◽  
System Quality ◽  
Information System Development ◽  
Web Based ◽  
Academic Information

The purpose of this study is to evaluate the quality of web-based academic information system in FEB Unud and its impacts to users’ satisfaction. The users of this system are students, lectures, and academic staffs of FEB Unud. This study surveys the perception of students, lectures, and staffs and their satisfaction on the quality of the Academic Information System. The quality system includes three elements, namely the information quality, the system quality, and the service quality. The quality of this web-based academic information system is expected to affect the satisfaction of the users. For FEB Unud, the result of this study is expected to give the feedback for the faculty leaders in order to take further corrective measures. For other educational institutions, the study is expected to be a model of academic information system development.    

Content Elements for Web-Based Health Promotion

2016 ◽  
Vol 7 (2) ◽  
pp. 50-69 ◽  
Author(s):  
Marwan Noman ◽  
Ah Choo Koo ◽  
Sim Hui Tee
Keyword(s):  
Health Promotion ◽  
Pilot Study ◽  
Research Team ◽  
Digital Content ◽  
Web Based ◽  
Policy Makers ◽  
Content Quality ◽  
Health Promotion Programs ◽  
Study Type

This paper provides an analysis of the basic elements required for health promotion based on digital content. It covers the feedback from the respondents involved in a pilot study type; content interventions were examined among the respondents to analyze the most required content elements for health promotion programs for workplace community. These elements should be focused on to highlight the importance of content quality and interactivity features for health promoters using technology solutions to provide digital content. The findings of this research has attracted the interest of policy makers associates in Malaysia to engage with the research team to enhance the quality of content provided to the Malaysian society.

scholarly journals An Approach to Improve the Quality of User-Generated Content of Citizen Science Platforms

2021 ◽  
Vol 10 (7) ◽  
pp. 434
Author(s):  
Jiri Musto ◽  
Ajantha Dahanayake
Keyword(s):  
Citizen Science ◽  
General Public ◽  
Information Quality ◽  
Quality Characteristics ◽  
User Generated Content ◽  
Design Stage ◽  
Scientific Training ◽  
Content Quality ◽  
Design And Implementation

The quality of the user-generated content of citizen science platforms has been discussed widely among researchers. Content is categorized into data and information: data is content stored in a database of a citizen science platform, while information is context-dependent content generated by users. Understanding data and information quality characteristics and utilizing them during design improves citizen science platforms’ overall quality. This research investigates the integration of data and information quality characteristics into a citizen science platform for collecting information from the general public with no scientific training in the area where content is collected. The primary goal is to provide a framework for selecting and integrating data and information quality characteristics into the design for improving the content quality on platforms. The design and implementation of a citizen science platform that collects walking path conditions are presented, and the resulting implication is evaluated. The results show that the platform’s content quality can be improved by introducing quality characteristics during the design stage of the citizen science platform.

Assessing the quality of complementary and alternative medicine website information for cancer: A cross-sectional review and analysis

2021 ◽  
Author(s):  
Harmy Thakar ◽  
Sabrina L. Balkaran ◽  
Jeremy Y. Ng
Keyword(s):  
Alternative Medicine ◽  
Health Information ◽  
Information Quality ◽  
Consumer Health Information ◽  
Consumer Health ◽  
Eligibility Criteria ◽  
Cross Sectional ◽  
Web Based ◽  
Patients With Cancer

Abstract Patients with cancer frequently utilize complementary and alternative medicine (CAM); prior to this, many seek information about these therapies online. Little is known about the quality of this web-based consumer health information (CHI). The present study aimed to address this paucity of research by evaluating the quality of websites containing information on CAM treatments for cancer. Six unique search terms were entered into Google across four English-speaking countries. The first 20 results of each search were assessed and included if they contained CAM consumer health information for the treatment and/or management of cancer. Eligible websites were assessed using the 16-item DISCERN instrument, designed to evaluate information quality. Of the 480 identified websites, 387 were duplicates, and 53 fit the eligibility criteria and were assessed using the DISCERN instrument. Mean summed DISCERN scores across all websites was 53.08 (SD = 12.75), and mean scores of the overall quality of each website was 3.22 (SD = 0.80). Website CHI quality on CAM therapies for cancer were generally acceptable. Several website quality issues were identified, including a lack of transparency surrounding references, areas of uncertainty, consequences of foregoing treatment, and treatment impacts on quality of life.

scholarly journals Using Social Media to Recruit Youth Who Use Electronic Cigarettes

2020 ◽  
Vol 44 (4) ◽  
pp. 488-498
Author(s):  
Lorra Garey ◽  
Sandra J. Japuntich ◽  
Kimberly M. Nelson ◽  
Lori A. J. Scott-Sheldon
Keyword(s):  
Social Media ◽  
Electronic Cigarettes ◽  
Regulatory Policy ◽  
The United States ◽  
Cigarette Use ◽  
Instructional Information ◽  
Social Media Platforms ◽  
Group 3 ◽  
Quality Check

Objective: Research is needed to inform effective regulatory policy that can help curb electronic cigarette (e-cigarette) use among youth. However, several challenges interfere with studying e-cigarette use among youth. Social media may provide an outlet to overcome these challenges. Our objective was to provide instructional information on tested methods for using social media to study e-cigarette use among youth. Methods: We developed 13 advertisements that were used to recruit e-cigarette users 14-24 years old who lived in the United States. We measured the effectiveness of the advertisements and quality of the resulting data. Results: The advertisements reached 422,228 adolescents and young adults, 408 completed the survey, and 212 (52%) passed the quality check measures. The average cost per click was $0.36. Conclusions: Based on the current study, key recommendations for behavioral scientists interested in conducting e-cigarette research among youth include: (1) developing and testing multiple advertisements with the target audience; (2) advertising on social media platforms most commonly used by the target group; (3) tailoring (ie, age and interest) message options; and (4) using multiple types of data quality assurance items.

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