TERMINOLOGICAL CHAOS IN LABELLING FALSE ONLINE CONTENT

2022 ◽  
Vol 1 (1) ◽  
pp. 5-18
Author(s):  
Hana Pravdová ◽  
Miroclav Kapec
Keyword(s):  
Information Quality ◽  
Social Background ◽  
Logical Analysis ◽  
The Internet ◽  
Online Media ◽  
Fake News ◽  
Misleading Information ◽  
Hermeneutic Approach ◽  
Internet Environment

The study deals with the issue of misleading information in the Internet environment. The authors define and analyse basic terms denoting various methods of disinformation. They point to the fact that there are specific terms and phenomena forming the thematic axis of the current discourse on disinformation practices in online media. They state that there is quite a lot of chaos in the field of terminology. This is the reason why they critically reconsider the existing knowledge related to disinformation, such as fake news and the like. The ambition of the authors is the conceptualisation of disinformation methods in the context of a broadening of genres and social background. They emphasise the need to research the issue because the information quality of various blogs, posts, comments, etc. raises many unanswered questions or incorrect answers. In their analysis of the issue, they use the basic methods of logical analysis, the hermeneutic approach, as well as selectively chosen examples of individual typological variants of disinformation.

scholarly journals The Influence of the Frequency of the Internet Use on the Behavioral Relationship Model of the Mobile Device-Based Shopping

2016 ◽  
Vol 11 (6) ◽  
pp. 32 ◽  
Author(s):  
Shwu-Ing Wu ◽  
Rou Jyun Chen
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Internet Use ◽  
Information Quality ◽  
Positive Influence ◽  
The Other ◽  
The Internet ◽  
Relationship Model ◽  
Significant Positive Influence

<p class="ArticleTitle">In recent years, the increasingly innovative and diverse mobile devices have significantly promoted the mobile device-based shopping. What factors influence this kind of shopping? Will consumers purchase things with mobile devices? These are two topics that need to be explored. Through the literature analysis and the empirical research, this study aims to analyze the quality of information, system, service and mobile devices on the mobile device-based shopping platform. Moreover, it studies the attitude of consumers towards mobile device-based shopping, their willingness to adopt the shopping method and the behavioral relationship model in the actual mobile device-based shopping as well as compares the groups of different frequencies of the Internet use in terms of the relationship model.</p>　　With the convenient sampling, this study made an investigation among some of those who had experienced shopping on such mobile devices as tablets or smart phones. The 765 retrieved valid copies of questionnaire were divided into three groups—“often”, “average” and “seldom” according to the frequency consumers undertook mobile device-based shopping and were then compared. The results showed that there were significant differences among the three groups in four relationship paths, including: 1) the information quality of the mobile device-based shopping platform has more significant positive influence on consumers’ attitude path of mobile device-based shopping in the “average” group than in the other two; 2) the service quality of the mobile device-based shopping platform has more significant positive influence on consumers’ attitude path of mobile device-based shopping in the “seldom” group than in the other two; 3) the preference for mobile device-based shopping has much significant positive influence on the behavior path of mobile device-based shopping in the “often” group. According to the research results, different groups have different behavior models. These results can serve as reference information in the decision-making of those who establish mobile device-based shopping platforms and manufacture mobile devices.

Quality of Health Information on the Internet

2009 ◽  
pp. 443-455
Author(s):  
Kleopatra Alamantariotou
Keyword(s):  
Health Information ◽  
Information Quality ◽  
Relevant Information ◽  
The Internet ◽  
High Quality ◽  
Related Information ◽  
Health Related ◽  
Use Of The Internet ◽  
Effective Use

Recent statistics show that the World Wide Web has now grown to over 100 million sites: a phenomenal expansion in only 15 years (Mulligan 2007). It has been estimated that there are 100,000 sites offering health related information (Wilson 2002). As the amount of health information increases, the public find it increasingly difficult to decide what to accept and what to reject (Burgess 2007). Searching for information on the internet is both deceptively easy and the same time frustratingly difficult (Kiley 2002). The challenge for consumers is to find high quality, relevant information as quickly as possible. There has been ongoing debate about the quality of information aimed at patients and the general public and opinions differ on how it can be improved (Stepperd 1999). The purpose of this chapter is to provide a brief overview of the different perspectives on information quality and to review the main criteria for assessing the quality of health information on the internet. Pointers are provided to enable both clinicians and patients find high quality information sources. An understanding of these issues should help health professionals and patients to make effective use of the internet.

scholarly journals Information Behavior Culture of the RuNet Audience

2019 ◽  
Vol 8 (3) ◽  
pp. 984-988
Keyword(s):  
The Internet ◽  
Online Media ◽  
Fake News ◽  
State Institute ◽  
Consumption Culture ◽  
News Agencies ◽  
The Media ◽  
The Russian Federation ◽  
The Republic ◽  
Source Of Information

The purpose of this study is to analyze the formation of a media consumption culture in the information-rich multiconfessional and bilingual region of the Russian Federation – the Republic of Tatarstan. The authors of this article conducted a survey of 200 respondents aged 19-55 who are active users of the RuNet. The survey was carried out among students of the Kazan State Institute of Culture and Kazan Federal University, as well as media professionals from the Republic of Tatarstan. The anonymous survey was conducted in January-March 2019. Of all the respondents participated in this survey, 56% were aged 19-20. Eighty-three percent of the respondents were female – students, teachers and media workers of the Republic of Tatarstan. Sixty-five percent of them combined their education with work. Ninety-eight percent of the respondents received information from the Internet, 76% watched information programs on television, 27% listened to the radio and only 7.5% of the respondents still read newspapers. Sixty-eight percent of the surveyed trusted messages received from news agencies, while 78% trusted news messages received from news aggregators. Ninety percent of the respondents trusted information received from online media; 11% trusted the information received from social networks and only 4.5% of the respondents trusted the information discussed in blogs. The high percentage of trust to information obtained from the media and the low percentage of trust to information obtained from blogs indicates the current culture of media use and media literacy of the population in the situation with fake news. Of all the respondents answering the question "Do you refer to the source of information you use on the Internet?", 91.5% answered positively. Disturbingly, 92.5% of the surveyed believe that they do not have to pay for the information received from online media. The authors explain the refusal to pay for content with a small amount of exclusive and analytical materials in the information field of the Republic of Tatarstan

scholarly journals Information Re-Sharing on Social Network Sites in the Age of Fake News

10.28945/3871 ◽  
2017 ◽  
Vol 20 ◽  
pp. 215-235 ◽  
Author(s):  
Mehrdad Koohikamali ◽  
Anna Sidorova
Keyword(s):  
Social Media ◽  
Social Network ◽  
Information Quality ◽  
Social Network Sites ◽  
Research Model ◽  
Fake News ◽  
Quality Of Information ◽  
Sharing Behavior

Aim/Purpose: In the light of the recent attention to the role of social media in the dissemination of fake news, it is important to understand the relationship between the characteristics of the social media content and re-sharing behavior. This study seeks to examine individual level antecedents of information re-sharing behavior including individual beliefs about the quality of information available on social network sites (SNSs), attitude towards SNS use and risk perceptions and attitudes. Methodology: Testing the research model by data collected through surveys that were adminis-tered to test the research model. Data was collected from undergraduate students in a public university in the US. Contribution: This study contributes to theory in Information Systems by addressing the issue of information quality in the context of information re-sharing on social media. This study has important practical implications for SNS users and providers alike. Ensuring that information available on SNS is of high quality is critical to maintaining a healthy user base. Findings: Results indicate that attitude toward using SNSs and intention to re-share infor-mation on SNSs is influenced by perceived information quality (enjoyment, rele-vance, and reliability). Also, risk-taking propensity and enjoyment influence the intention to re-share information on SNSs in a positive direction. Future Research: In the dynamic context of SNSs, the role played by quality of information is changing. Understanding changes in quality of information by conducting longitudinal studies and experiments and including the role of habits is necessary.

scholarly journals A study on the relationships among information quality, system quality, knowledge sharing, and knowledge creation for travel web site users

2020 ◽  
Author(s):  
YINGYUEH SU ◽  
Yen-Ku Kuo ◽  
Tsung-Hsien Kuo ◽  
Kuo-Cheng Kuo
Keyword(s):  
Knowledge Sharing ◽  
Web Sites ◽  
Knowledge Creation ◽  
Web Site ◽  
Information Quality ◽  
Quality System ◽  
Equation Modeling ◽  
The Internet ◽  
System Quality

<p>The COVID-19 crisis has an unprecedented impact on travel industry. Although Taiwan’s borders are still remain closed to non-essential international travel, travel web sites have become more important media for Taiwan residents to search for domestic travel activities. With the prevalence of the Internet and e-commerce nowadays, they are the rapidest and most efficient channels to look for information on the latest activities and travel security information. Information quality and system quality of travel web sites are extremely important bases since they decide users’ behavior of information exchange on the platforms. Since the Internet can immediately share information, consumers’ various knowledge sharing behaviors on sites can enhance knowledge creation. This study explores the correlations among information quality, system quality, knowledge sharing, and knowledge creation of travel web sites and treats consumers who have used travel web site services in Taiwan as subjects. It collects the data and analyzes hypotheses by structural equation modeling. The findings show that information quality and system quality of travel web sites positively and significantly influence knowledge sharing. Knowledge sharing shows positive and significant predictive power on knowledge creation. Considering about the coronavirus outbreak which has a significant impact on tourism industry, the conclusion provides suggestions for travel web site management and practice, which also can further serve as important strategies for continuous updating of travel web sites.</p>

scholarly journals The Impact of The Behavior of Smartphone Usage on The Consumption of Fake News by Student

2019 ◽  
Vol 1 (1) ◽  
pp. 20
Author(s):  
Muh.Ulil S. Negara
Keyword(s):  
Political Parties ◽  
Undergraduate Students ◽  
Mobile Phones ◽  
Student Behavior ◽  
Young Person ◽  
The Internet ◽  
Fake News ◽  
The Right ◽  
The Impact

Abstract— The background of this research is the increase of the distribution of fake news in cyberspace to coincide with the 2019 general election (Pemilu) campaign in Indonesia. Undergraduate students in Indonesia, most of whom are beginner voters in the 2019 election, are one of the most important campaign targets calculated by each political party. Fake news produced massively and structurally by political parties to get support from voters can break the unity and the harmony of the nation. Students as young people whose mindsets are critical and have idealism in fighting for their ideas must be able to distinguish between true and fake news for the safety of their own insights. The research method used is a quantitative method to understand the behavior of students in using mobile phones which is the fastest media for disseminating information through the internet. Understanding these behaviors will provide an overview of the impact of the application or information channel most often opened by someone to their ability to distinguish true and fake news. This study aims to get a strategy that needs to be done to improve student behavior in using mobile phones, which will affect the quality of information obtained from the internet via mobile phones. So that young person who are productive and have the right insight are not easily provoked by fake news from the internet

scholarly journals Arthroplasty information on the internet

2020 ◽  
Vol 1 (4) ◽  
pp. 64-73
Author(s):  
Myles T. Davaris ◽  
Michelle M. Dowsey ◽  
Samantha Bunzli ◽  
Peter F. Choong
Keyword(s):  
Quality Of Life ◽  
Joint Replacement ◽  
Information Quality ◽  
Total Joint Replacement ◽  
High Volume ◽  
The Internet ◽  
Quality Of Information ◽  
Search Terms ◽  
Google Search

Aims Total joint replacement (TJR) is a high-cost, high-volume procedure that impacts patients’ quality of life. Informed decisions are important for patients facing TJR. The quality of information provided by websites regarding TJR is highly variable. We aimed to measure the quality of TJR information online. Methods We identified 10,800 websites using 18 TJR-related keywords (conditions and procedures) across the Australian, French, German and Spanish Google search engines. We used the Health on the Net (HON) toolbar to evaluate the first 150 websites downloaded for every keyword in each language. The quality of information on websites was inspected, accounting for differences by language and tertiles. We also undertook an analysis of English websites to explore types of website providers. Results ‘Total joint replacement’ had the most results returned (150 million websites), and 9% of websites are HON-accredited. Differences in information quality were seen across search terms (p < 0.001) and tertiles (p < 0.001), but not between languages (p = 0.226). A larger proportion of HON-accredited websites were seen from keywords in the condition and arthroplasty categories. The first tertile contained the highest number of HON-accredited websites for the majority of search terms. Government/educational bodies sponsored the majority of websites. Conclusion Clinicians must consider the shortage of websites providing validated information, with disparities in both number and quality of websites for TJR conditions and procedures. As such, the challenge for clinicians is to lead the design of reliable, accurate and ethical orthopaedic websites online and direct patients to them. This stands to reward both parties greatly.

scholarly journals Transfer learning and GRU-CRF augmentation for COVID-19 fake news detection

2021 ◽  
pp. 53-53
Author(s):  
Andrea Karnyoto ◽  
Chengjie Sun ◽  
Bingquan Liu ◽  
Xiaolong Wang
Keyword(s):  
Political Parties ◽  
Transfer Learning ◽  
Hybrid Model ◽  
The Internet ◽  
Online Media ◽  
Fake News ◽  
Baseline Model

The spread of fake news on online media is very dangerous and can lead to casualties, effects on psychology, character assassination, elections for political parties, and state chaos. Fake news that concerning Covid-19 massively spread during the pandemic. Detecting misinformation on the Internet is an essential and challenging task since humans face difficulty detecting fake news. We applied BERT and GPT2 as pre-trained using the BiGRU-Att-CapsuleNet model and BiGRU-CRF features augmentation to solve Fake News detection in Constraint @ AAAI2021 - COVID19 Fake News Detection in English Dataset. This research proved that our hybrid model with augmentation got better accuracy compared to our baseline model. It also showed that BERT gave a better result than GPT2 in all models; the highest accuracy we achieved for BERT is 0.9196, and GPT2 is 0.8986.

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