Credibility Of Content Research Articles

Does the website credibility of online travel agencies (OTAs) affect customers’ evaluation and future intentions?

ABSTRACT In an uncertain and escalating risk period resulting from the prolonged pandemic crisis, this study aimed to identify the dimensional nature of online travel agencies’ (OTAs) website credibility, and empirically investigate the effects of its components on attitude and behavioral intentions. This study was conducted by collecting 559 questionnaires from mainland Chinese OTA users in the middle of the COVID-19 pandemic. The data analyses showed that OTA website credibility comprised six components. Other proposed paths, with the exception of four, were significant at the .05 or .001 level. Interestingly, the paths between content credibility and attitude toward the OTA and between content credibility and loyalty to the OTA were not significant. However, overall, it was confirmed that OTA website credibility determined attitude toward the OTA and loyalty to the OTA, which led to behavioral intention.

Social Media Learning by Medical Students; Credibility Evaluation and The Role of Educators

Access to learning content on social media is expanding as users share information and institutions improve their presence. There is a gap between frequency of use by current medical students (millennials) and their educators. This study investigated these gaps and probed credibility evaluation criteria of students and the roles they expect their educators to play on social media. The Technology Acceptance Model (TAM) was used as theoretical framework for the formulation of hypotheses and research questions. Using a survey of 112 Ghanaian medical students the study measured frequency of use, perceived ease of use and perceived usefulness of socialmedia for learning. The criteria used by medical students to evaluate the credibility of learning content and the role they expecttheir educators to play on social media were ranked. Firstly, results from multiple linear regressions supported the influence of perceived ease of use and perceived usefulness on frequency of social media use for learning. Secondly, ranking of criteria used bystudents to evaluate the credibility of social media learning content revealed the importance of easy access, detailed information and verifiable sources. Thirdly, it was observed that medical students expect educators to play a more active role on social media by developing content and guiding student use.

Keratosis pilaris on TikTok: A cross-sectional analysis of trending content

To the Editor: In 2020, TikTok became the most downloaded app globally, reaching over one billion users.1 While the credibility of educational content on TikTok may vary among videos, they can contain valuable information about common dermatologic conditions, including keratosis pilaris (KP), an underrecognized condition usually appearing in childhood and progressing into adolescence.2 Our purpose was to examine the quality of popular KP content on TikTok and identify areas for improving the delivery of medical information on the app.

A Microblog Content Credibility Evaluation Model Based on the Influence of Sentiment Polarity

False content in microblogs affects users’ judgment of facts. An evaluation of microblog content credibility can find false information as soon as possible, which ensures that social networks maintain a positive environment. The influence of sentiment polarity can be used to analyze the correlation between sentiment polarity in comments and Weibo content through semantic features and sentiment features in comments, to improve the effect of content credibility assessment. This paper proposes a Weibo content credibility evaluation model, CEISP (Credibility Evaluation based on the Influence of Sentiment Polarity). The semantic features of microblog content are extracted by a bidirectional-local information processing network. Bidirectional long short-term memory (BiLSTM) is used to mine the sentiment features of comments. The attention mechanism is used to capture the impact of different sentiment polarities in comments on microblog content, and the influence of sentiment polarities is obtained for the credibility assessment of microblog content. The experimental results on real datasets show that the evaluation performance of the CEISP model is improved compared with the comparison model. Compared with the existing Att-BiLSTM model, the evaluation accuracy of the CEISP model is improved by 0.0167.

An orthogonal-space-learning-based method for selecting semantically helpful reviews

• Selecting a helpful review set fits customers’ heterogeneous information demands. • We conceptualize review set helpfulness into credibility, relevance, diversity, and coverage. • We propose an orthogonal-semantic-space-based method for helpful review set selection. • Experiment results on designed metrics validate the helpfulness of the selected review sets. • Explanatory analysis offer insightful findings regarding the review set helpfulness. Customers in the online purchase context always bear the burden of enormous reviews. In this study, we endeavor to effectively identify and select a helpful review subset from original reviews to fit customers’ heterogeneous information demands for product evaluation. Rooted in theories about information quality, we first conceptualize review set helpfulness into four key factors, i.e., content credibility, semantic relevance, semantic diversity, and semantic coverage. We then propose a novel orthogonal-semantic-space-learning-based method that adaptively learns orthogonal semantic spaces based on original reviews and enables the generation of semantically credible, relevant, diverse, and high-coverage review subsets for varying review selection scales. Experiment results based on more than 1.7 million online reviews show that our proposed method outperformed benchmark review selection methods with improvements up to 2.07%, 7.9%, 5.52%, and 50% under semantic relevance, semantic diversity, semantic coverage, and review set helpfulness prediction, respectively. Explanatory analysis results offer insightful findings regarding helpful reviews at the review-set level.

Credibility Analysis of User-Designed Content Using Machine Learning Techniques

Content is a user-designed form of information, for example, observation, perception, or review. This type of information is more relevant to users, as they can relate it to their experience. The research problem is to identify the credibility and the percentage of credibility as well. Assessment of such content is important to convey the right understanding of the information. Different techniques are used for content analysis, such as voting the content, Machine Learning Techniques, and manual assessment to evaluate the content and the quality of information. In this research article, content analysis is performed by collecting the Movie Review dataset from Kaggle. Features are extracted and the most relevant features are shortlisted for experimentation. The effect of these features is analyzed by using base regression algorithms, such as Linear Regression, Lasso Regression, Ridge Regression, and Decision Tree. The contribution of the research is designing a heterogeneous ensemble regression algorithm for content credibility score assessment, which combines the above baseline methods. Moreover, these factors are also toned down to obtain the values closer to Gradient Descent minimum. Different forms of Error Loss, such as Mean Absolute Error, Mean Squared Error, LogCosh, Huber, and Jacobian, and the performance is optimized by introducing the balancing bias. The accuracy of the algorithm is compared with induvial regression algorithms and ensemble regression separately; this accuracy is 96.29%.

The credibility of Instagram-based information on strength and conditioning in tennis

Background: Social networks are an important and widely used resource for training information for many people. However, the content on these platforms regarding the recommendations for strength and conditioning in relation to tennis has not yet been fully evaluated. We investigated the credibility of Instagram-based information on the strength and conditioning development specifically in relation to tennis. Methods: Three experts with more then ten years of scientific and professional experience in the field of tennis (39.6±7.4 years of age) evaluated the credibility of the Instagram-based content of five selected accounts based on three aspects: information based on scientific knowledge, the practical applicability of information and the demonstration quality of the presented exercises. We calculated the means (AS) and standard deviations (SD) for each criterion. Results: The results of this research indicate a very low level of credibility in relation to the data published on social networks. The information is inaccurate and poorly verified, and as such is not a reliable source and selection for the purpose of strength and conditioning progress in tennis. Conclusion: Only validated training approaches and exercises that leverage players’ fitness abilities might serve as an avenue for strength and conditioning promotion in tennis.

Information source and content: articulating two key concepts for information evaluation

PurposeLearning how to identify and avoid inaccurate information, especially disinformation, is essential for any informational consumer. Many information literacy tools specify criteria that can help users evaluate information more efficiently and effectively. However, the authors of these tools do not always agree on which criteria should be emphasized, what they mean or why they should be included in the tool. This study aims to clarify two such criteria (source credibility and soundness of content), which evolutionary cognitive psychology research emphasize. This paper uses them as a basis for building a question-based evaluation tool and draws implications for information literacy programs.Design/methodology/approachThis paper draws on cross-disciplinary scholarship (in library and information science, evolutionary cognitive psychology and rhetoric studies) to explore 15 approaches to information evaluation which conceptualizes source credibility and content soundness, two markers of information accuracy. This paper clarifies these two concepts, builds two sets of questions meant to elicit empirical indicators of information accuracy and deploys them against a recent piece of journalism which embeds a conspiracy theory about the origins of the COVID-19 pandemic. This paper shows how the two standards can help us determine that the article is misleading. This paper draws implications for information literacy programs.FindingsThe meanings of and relationships between source credibility and content soundness often diverge across the 15 approaches to information evaluation this paper analyzed. Conceptual analysis allowed the authors to articulate source credibility in terms of authority and trustworthiness, and content soundness in terms of plausibility and evidential support. These conceptualizations allow the authors to formulate two respective sets of appropriate questions, the answers to which are meant to function as empirical indicators for the two standards. Deploying this instrument provides us with the opportunity to understand why a certain article discussing COVID-19 is misleading.Originality/valueBy articulating source credibility and content soundness as the two key criteria for evaluating information, together with guiding questions meant to elicit empirical indicators for them, this paper streamlines the process through which information users can judge the likelihood that a piece of information they encounter is accurate.

What Influences the Credibility of Printed Nutrition Education Materials?

Objectives: In this study, we aimed to determine the influence of aesthetics and color of printed nutrition education materials on perceived credibility of the material content. Methods: A randomized 2 x 2 (aesthetics and color) factorial experimental design was completed on a university campus. Undergraduate and graduate students (N=204) were randomly assigned one of 4 types of flyers (high aesthetic-color, high aesthetic-black-and-white, low aesthetic-color, and low aesthetic-black-and-white). Perceptions on the flyer content (accurate, believable, biased, valuable, and trustworthy), perceptions of overall flyer quality (attractive, pleasant, confusing, and interesting), and knowledge of the content within the flyer were assessed via a survey after reading the flyer. Results: A statistically significant main effect of aesthetics was observed for perceived "trustworthiness" of the flyer information (p = .048). Flyers with high aesthetics, regardless of print color, had a higher mean score of "trustworthiness" (M = 6.01) than flyers with low aesthetics (M = 5.71). An interaction effect was seen for perception of the flyer being "confusing" (p = .02). The high aesthetic-black-and-white flyer had the highest mean score for "confusing" (M = 1.66) with the low aesthetic flyer printed in color having the second highest mean score for "confusing" (M = 1.56). Conclusions: The aesthetics of nutrition education materials appear to influence perceived trustworthiness of those materials.

Printed Textbook and its Potential in Remote Learning during The Covid-19 Crisis

Remote learning which is mostly done online has become a new norm as schools are forced to close due to COVID-19. This learning setting has exposed a huge digital inequality among learners around the world, where not all of them are privileged to join remote learning sessions and they might be left behind for a long time as the pandemic is not showing any sign of slowing down. However, a solution to this pressing situation might be found through the always reliable printed textbook. As a printed textbook does not require an internet connection or a device to be utilized, it is thought that it can ensure a continuous access to education in this challenging time since it provides convenience in terms of time, money, and connectivity, while also offering credible content, standardization, and becoming a good vehicle for self-study among learners. However, the currently available printed textbook in the market is not intended to be used in a time of crisis like this; a better printed textbook must be urgently produced to suit the unprecedented time we are living in.

Consumption and Production of User-Generated Content, Credibility, and Political Participation

ABSTRACT This study examines how journalistic credibility and consumption of user-generated content (UGC) are related to political participation. Data from a national online survey shows two main pathways. One concerns traditional communicative pathways involving professional journalism credibility, traditional news use, and interpersonal political discussion. The other concerns citizen journalism credibility and UGC consumption and production on citizen news websites. Thus, while traditional political communication continues to play a role in political participation, citizen journalism practice presents unique opportunities for citizens to engage in politics.

Factors affecting female online purchase decision

This study enhances the existing literature on female online buying decisions by evaluating the factors shaping women’s clothing purchase decision-making. Hence, it investigates the influence of social media interactive marketing activities, i.e., electronic advertising (e-Ads), electronic word of mouth (e-WOM), interaction (Int.), and content credibility (CC), on female purchase decisions. The study adopted the logic of quantitative approach using an e questionnaire as a main data collection tool targeting online female consumers. Data were collected from 388 female social media users, and regression analysis was applied. The results of the study confirmed the association between a firm’s use of interactive marketing applications and activities and female purchase decisions. In addition, the results pointed out the electronic interactive activities of social media platforms such as e-Ads, CC, and e-WOM as powerful tools that support firm’s marketing strategies via their positive influence on female purchase decisions. The result is consistent with previous research (Park, Hyun, & Thavisay, 2021; Tran, 2017). The study provides several implications and recommendations for practice: focusing on content credibility, enriching the interactive content of brand name page, providing more details about offerings, and the continuous development of advertising, contents, and techniques. And for future research, as this study derived its findings from an evaluation carried out in the Jordanian clothing market, it is recommended to extend this evaluation to be conducted in other contexts and to consider other demographical and economic variables.

Kako se odbraniti - uloga informacione i medijske pismenosti u zaštiti od medijske manipulacije

Post-truth media manipulation techniques dominantly provoke the emotional response in media audience. Fake news, as a specific post-truth subtype, present fabricated information directed to a specific media goal, usually motivated by clear economic and political intentions. Media and information literacy, thus, as a logical response to media manipulation, advocate a critical evaluation of the media content. However, in this paper, we argue about information literacy as the first and foremost strategy of defense against fabricated information focused on emotional reaction. We use literature framework to outline techniques which serve as protectors against various forms of media manipulation, such as the ability to observe and investigate the credibility of content, awareness of the alternative information, as well as the possibilities for ethical dissemination of information.

Hybrid machine learning approach for Arabic medical web page credibility assessment.

For many people, the Internet is their primary source of knowledge in today's modern world. Internet users frequently seek health-related information in order to better understand a health problem, seek guidance, or diagnose symptoms. Unfortunately, most of this information is inaccurate or unreliable, making it difficult for regular users to discern reliable sources of information. To determine online source reliability, specific knowledge and domain expertise are necessary. Researchers in health informatics studied a number of linguistic and non-linguistic indicators to assist ordinary individuals in judging medical web page credibility. This study proposes a method that automates the process of assessing the reliability of online medical sites based on textual and non-textual characteristics. To evaluate the proposed approach, we developed a real-world dataset of Arabic web pages that provide medical information. This dataset is the first Arabic medical web page dataset for content credibility evaluation. The hybrid approach was assessed using multiple machine learning and deep learning algorithms on the dataset, providing an accuracy and F1-score of 79% and 77%, respectively. We also identify the most observable patterns that help evaluate or detect unreliable web pages written in Arabic.

The Role of Educational Content in Raising the Skill of Media Students in Detecting False News on Digital Platforms: A field Study on a Sample of Students from Media Colleges and Departments in Arab Universities

The study aimed to test the hypothesis of the relationship between the rates of interest of media education courses in the component of "critical thinking" (at the two levels: knowledge and skill) and the rates of media students' benefit from mechanisms for verifying the credibility of news content on social media platforms, both internal evaluation mechanisms for methods of content delivery, based on An individual's cognitive experiences, or external validation mechanisms through critical comparisons of content. The study relied on the survey method, in addition to the comparative method. Using the questionnaire tool in the process of data collection, the study sample consisted of (150) students from media colleges in Arab universities using the available sample method. The results of the study showed that social media platforms are a basic information and knowledge resource for students of media faculties and departments, and this intensity of use is an important factor that prompted media faculties and departments to include critical thinking courses and media or digital education within the educational content system that they rely on in preparing and the development of a number of basic knowledge and concepts among students. The students seemed affected in their assessment of the types of information most likely to be falsified on communication platforms by their rates of use of these platforms, and it was proven that there are differences between students in evaluating the types of information most likely to lie according to the degree to which they benefit from different types of digital platforms. Evaluate visual information as the most likely information to lie. Students use a number of mechanisms to ensure the credibility of content on social media platforms, especially the comparison mechanism. Then comes the content writing language testing mechanism. It has been proven that the students’ resort to the linguistic verification mechanism of content credibility has a significant relationship to the degree of students’ comprehension of knowledge related to critical thinking, and that resorting to the “comparison” mechanism in verifying the credibility of the content is related to the degree of students’ comprehension of the elements of critical thinking.

Communication: From the Internet to the Intelligent

According to contemporary history of new technologies, today’s Internet age is inevitably going to the terminal point of its first half, and then the Internet of Things has been formed in this stage. Following the Internet and the Internet of Things, the Internet of People is coming. In the new stage, the intelligent communication will still keep the previous concern about fresh information and network technologies along with their influences on the one side, and on the other side it will focus on the connection between human and intelligent technologies. This brings three dimensions taken into consideration. The primary issue is the way that intelligent technologies reshape the forms of communication and media, and the relations among technologies, media, the public and societies. The development trends and rules of communication and media forms correlate with the latest and also the future information technologies, such as big data, VR, AR, MR, AI and machine learning, 5G and 6G, wearable devices, and some unknown new stuff. In the future, intelligent technologies will probably have a broad and profound influence on the production and consumption of journalism. So far many media organizations have taken advantages of 5G and AI in creating better journalism at a time, just like what they did during the Tokyo Olympics. They can also help the public work with overload information and access to credible content globally in a more convenient way. Furtherly, 6G. and metaverse will introduce completely new communication paradigms by building developer-friendly tools and practicing their disruptive concepts. And With smart data, smart media can simplify and enrich human activities and experiences. In the world of the Internet of People based on these technologies, human-machine interaction sight system will gain a benefit of higher immersion and more imaginations but lower interference and permeability. The impact of this virtual media world is uncertain but is surely accelerating the transformation towards more diverse societies and independent digital identities.

A new method for watermarking color images using virtual hiding and El-Gamal ciphering

One of the important issues in the era of computer networks and multimedia technology development is to find ways to maintain the reliability, credibility, copyright and non-duplication of digital content transmitted over the internet. For the purpose of protecting images from illegal usage, a watermark is used. A hidden digital watermark is the process of concealing information on a host to prove that this image is owned by a specific person or organization. In this paper, a new method has been proposed to use an RGB logo to protect color images from unlicensed trading. The method depends on retrieving logo data from specific locations in the host to form a logo when the owner claims the rights to those images. These positions are chosen because their pixels match the logo data. The locations of matching pixels are stored in a table that goes through two stages of treatment to ensure confidentiality: First, table compression, second, encoding positions in the compressed table through El-Gamal algorithm. Because the method depends on the idea of keeping host pixels without change, PSNR will always be infinity. After subjecting the host to five types of attack, the results demonstrate that the method can effectively protect the image and hidden logo is retrieved clearly even after the attacks.

TV Advertisements: Assessing the Moderating Effect of Children's Pester Power on Parents Purchase Decision

This research study aims to examine the influence of TV advertisements on children to pester and the moderating role of pestering power for parents buying decisions and TV ads. Data is collected from 487 respondents of 6 to 15 year's age group children and their parents, using convenience sampling through survey and interview method by a structured questionnaire. Finally, 487 (71%) sample data were analyzed using the IBM SPSS and AMOS package using Exploratory Factor Analysis (EFA), Confirmatory factor analysis (CFA), and Structural equation modeling (SEM). The results showed that TV ad factors such as entertainment, advertisement likability, content credibility, quality information, and celebrity endorsement positively impacted children's pestering. Pestering power had a significant moderating role in their parent's buying decisions and TV ads. This research allows marketers and advertisers to create an innovative marketing strategy for attracting children's interest and buying behavior.

Gender stereotypes in the Single National Curriculum, Pakistan.

Background: The Single National Curriculum (SNC) sponsored by the Government of Pakistan aimed to provide a level socio-economic playing field for all students. This paper analyzes the books of grades 1-5 under SNC to specifically test the gender biases and stereotypes promoted within them. 
 Methodology: The paper conducts a detailed inquiry of the various instances of overt and covert misogyny encountered in the text and illustrations of these books through the theoretical framework of the hidden curriculum. It looks at what kind of professional and personal activities men and women are depicted to be engaged in. By tallying all gendered illustrations and using qualitative content analysis to assess gendered textual biases, the research questions whether the state is promoting a certain gender ideology through these revised books.
 Results: Several problematic depictions of women and the erasure of gendered minorities are revealed, and questions are raised about the purpose of such discrimination in a state-sponsored curriculum. Women are presented in stereotypical caregiving and similar roles in both public and private spaces, with meager representations in sports, STEM, and other professions. The texts also feature heavy religious sub-texts to lend the content credibility. Since the SNC is created and promoted by the state itself, the overt and covert misogyny in the textbooks exposes the state's endorsement of unequal gender norms in the country.
 Conclusion: The SNC textbooks are actively promoting the hidden curriculum of gender inequality which will affect the behaviors and beliefs of the next generation. For the playing fields to be leveled for all, the books should have been gender-sensitive and should have actively reduced gender inequalities through their content. Alas, there are great discrepancies in the vision and the actual reality of the Single National Curriculum.

Impact of Team Identification on Fans’ Trust after Negative Incident: Moderating Role of Mass Media

Sports marketing being a new and under researched area is highly dependent on mass media treatment. The purpose of this study is twofold: First to examine the impact of team identification on fans trust after the involvement of a player in a negative incident, and second to examine the impact of media (fans’ perceived content informativeness, content credibility and source credibility of TV cricket talk shows) on this relationship. Data is collected via convenience sampling from a total of 399 respondents belonging to three universities, local markets, and friends from Islamabad and Rawal Pindi twin cities of Pakistan. Simple and moderated multiple regression analysis reveals that team identification positively affects fans’ trust after negative incident. Perceived source credibility, content credibility and informativeness of cricket talk shows on TV (mass media) moderates the relationship of team identification and fans’ trust after negative incident in such a way that the relationship becomes stronger regardless the media is positively or negatively highlighting the negative incident. The results of the current research might help sports marketing and media related organizations to understand sports fans’ behaviors towards sports organizations in connection of the conflict.