High-quality Content Research Articles

Audience Perceptions on Online Radio Platforms: A Case of University Students in Nyanza Region, Kenya

The purpose of this study was to examine audience perceptions of online radio platforms among university students in the Nyanza region. The study’s objectives included assessing audience perception of the programming of online radio platforms among university students in the Nyanza region, evaluating audience perception of signal reception of online radio platforms among university students in the Nyanza region, investigating audience perception of programs aired on online radio platforms among university students in the Nyanza region, and analyzing audience perception of program presentation of online radio platforms among university students in the Nyanza region. This study was underpinned by the framing theory and the agenda-setting theory. The research employed a descriptive research design. The target population was 872 media studies undergraduate students in six universities in the Nyanza region. Stratified random sampling was utilized to select 274 students in each of the universities. Data were collected through semi-structured questionnaires, and a pilot study was conducted at Rongo University. The study used questionnaires for accuracy and consistency, and data were cleaned and analyzed using the Statistical Package for Social Sciences software. Descriptive statistics were employed to examine audience perception of online radio platforms. A thematic analysis approach was used to identify recurring themes and to explore participants' perspectives. Data were presented using graphs, pie charts, and tables. Findings revealed that online radio provided higher quality programming compared to traditional radio. Results indicated that signal reception on online radio platforms was consistently reliable. According to the findings, programs aired on online radio platforms were engaging and interesting. Results indicated that the presentation style of programs on online radio platforms was professional. The study concludes that diverse and high-quality content on online radio platforms caters to varied interests, offering clear audio and stable listening experiences. Engaging and well-structured programs meet entertainment needs, recommending the development of new genres, topics, and formats to stay relevant. Quality programming, optimized scheduling, and innovative content delivery methods are essential for maintaining listener satisfaction and competitiveness in the media industry.

Mycetoma: A critical appraisal of educational content on YouTube.

Mycetoma is a fungal neglected tropical disease. Accurate dissemination of information is critical in endemic areas. YouTube, a popular platform for health information, hosts numerous videos on mycetoma, but the quality and reliability of these videos remain largely unassessed. We used modified DISCERN and Global Quality Score (GQS) for reliability and quality respectively. Video duration, views, likes, and comments were recorded. Spearman's rank correlation and Mann-Whitney U tests were used to identify correlations between metrices and quality scores. We included 73 mycetoma-related YouTube videos were analyzed, the median GQS score was 4.00 ((IQR = 3.33-4.00), indicating generally high-quality content, while the median mDISCERN score was 3.00 (IQR = 3.00-3.00) reflecting moderate reliability. Videos produced by professionals had significantly higher scores compared to those from consumer-generated content (p < 0.001). A significantly positive correlation was observed between video duration and both GQS (r = 0.417, p < 0.001) and mDISCERN (r = 0.343, p = 0.003). However, views, likes and comments did not significantly correlate with video quality. Additionally, videos longer in duration (p < 0.001) and older in upload date (p = 0.014) had higher quality scores. The study shows that mycetoma-related videos on YouTube are generally of high quality, with moderate reliability. This emphasizes the need for expert involvement in content creation and efforts to improve health information online.

Influence of Social Media Marketing on Destination Choice among European Travelers

Purpose: The aim of the study was to analyze the influence of social media marketing on destination choice among European travelers. Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: Social media marketing has a significant influence on destination choice among European travelers, as it shapes their perceptions and decision-making processes. Studies show that platforms like Instagram, Facebook, and YouTube serve as key sources of inspiration and information, with user-generated content and influencer recommendations often playing a pivotal role in shaping travel preferences. Travelers are particularly drawn to visually appealing content, which showcases destinations' attractions, culture, and experiences in an engaging manner. Unique Contribution to Theory, Practice and Policy: Uses and gratifications theory (UGT), social proof theory &amp; elaboration likelihood Model (ELM) may be used to anchor future studies on the influence of social media marketing on destination choice among European travelers. Travel businesses should invest in creating visually compelling content that showcases their offerings. Destination marketing organizations (DMOs) should adopt policies that prioritize high-quality visual content in their marketing strategies.

Navigating Success: The Impact of Social Media Strategies on Small and Medium-Scale Businesses in Ikot Ekpene, Akwa Ibom State, Nigeria

Purpose: The increasing influence of social media has significantly transformed small and medium scale businesses (SMSBs) operations in developing regions. This study assesses the impact of various social media tools on SMSB performance in Ikot Ekpene Local Government Area, Akwa Ibom State, Nigeria. It aims to evaluate the effectiveness of tools such as content creation, marketing strategies, brand building, networking, and e-commerce integration. Methodology: Using a survey design, data were collected from 331 respondents out of a sample of 363 SMSBs, drawn from a population of approximately 3,957, determined using the Yaro Yamane formula. Structured questionnaires facilitated data collection, and analyses included simple percentages, frequency tables, SPSS coding, and multiple regression analysis. Findings: The findings reveal that content creation and sharing significantly enhance SMSB performance (t = 5.809, p = 0.000). In contrast, marketing strategies exhibit a significant negative impact (t = -4.455, p = 0.000), indicating effectiveness challenges. Brand building and awareness positively influence performance (t = 6.861, p = 0.000), emphasizing the need for a strong brand presence. Networking and collaboration yield the most substantial positive effect (t = 9.019, p = 0.000), highlighting the value of strategic partnerships. Conversely, e-commerce and sales integration show no significant effect (t = -0.468, p = 0.640), suggesting it may be less critical than other strategies. The study concludes that leveraging social media tools strategically can enhance SMSB performance. It recommends that SMSBs prioritize high-quality content, brand building, and effective networking while re-evaluating traditional marketing strategies for improved impact. Originality / Value: This research contributes valuable insights into how specific social media strategies affect SMSB performance in developing countries, offering actionable recommendations for business owners in Akwa Ibom State and similar regions.

Impact of Instagram visual content on eWOM for Sharia hotels in Indonesia

The primary aim of this research is to investigate the effects of Advertisement Presentation of Contents (APC) and Advertisement Visual Types (AVT) on the eWOM of Sharia hotels. A quantitative approach was utilized, analyzing 202 Instagram posts from five Indonesian Sharia hotels between June and November 2023. The methodology involved the Structural Equation Modeling (SEM) with Partial Least Squares (PLS) analysis using Smart PLS software. The results revealed that visual content types, such as photos, videos, and reels, significantly enhance consumer attraction, with a path coefficient of 0.372 and a p-value of 0.000, indicating a strong positive influence. In contrast, hashtags and links showed no significant effect, with a path coefficient of -0.838 and a p-value of 0.000. The R-squared adjusted value of 0.208 indicates that the independent variables explain 20% of the variance in the dependent variable. The AVT’s influence on eWOM is at a high level (f-squared = 0.042). These findings suggest that Sharia hotels should prioritize creating high-quality visual content to enhance their social media marketing strategies. The study concludes that effective visual content on Instagram can enhance eWOM and improve consumer perceptions of Sharia hotels, enabling them to compete with conventional hotels. These findings provide valuable insights for Sharia hotel marketers to optimize their social media strategies, emphasizing the importance of visual content over textual elements like hashtags and links.

Enhancing Knowledge Sharing on Social Media: The Role of Functionalities in User Engagement and Information Quality

This study investigates functionalities on social media platforms that promote effective knowledge sharing, focusing on information quality and user engagement. A systematic literature review (SLR) was conducted to analyze relevant research. The findings reveal that functionalities like content creation and curation tools, user interaction and feedback mechanisms, community building and gamification elements, and knowledge filtering and recommendation systems all contribute to a positive knowledge-sharing environment. These functionalities empower users to create high-quality content, engage in discussions that refine information, and discover trustworthy sources. The study highlights the potential of social media platforms for knowledge sharing but acknowledges that the effectiveness of functionalities can vary depending on the platform and audience. Future research is recommended to explore the most impactful functionalities in specific contexts and the interplay between functionalities, user behavior, and information quality.

Research on the Application of AIGC in the Film Industry

This paper explores the feasibility of applying artificial intelligence generated content (AIGC) technology in the film industry, analyzes its potential to replace certain positions in the film industry, and explores how to integrate AIGC into different aspects of film production such as script writing, video production, and audio processing through experimental creation. Comparative research and experimental methods are used to explore the feasibility of applying AIGC in the film industry at this stage. The more mature AIGC platforms such as ChatGPT 4.0, Stability AI, Midjourney, and Suno V3.5 are used for research to optimize the film production process and provide some reference for other researchers. The findings suggest that AIGC could redefine industry standards and democratize the filmmaking process, enabling more creators to access sophisticated tools and produce high-quality content. This paper ultimately provides a roadmap for the strategic adoption of AIGC in filmmaking, outlining best practices and future research directions for a sustainable and creative AI-powered film industry.

VIRTUAL INFLUENCERS AND DIGITAL ENGAGEMENT

This study addresses a critical gap in digital marketing by examining the impact of virtual influencers on consumer engagement, focusing on Gen Z and Gen Y in Indonesia’s Jabodetabek region. While virtual influencers are gaining traction globally and locally, limited research has explored the factors that drive consumer interaction in diverse, digitally evolving markets like Indonesia. This study investigates the roles of perceived authenticity, content quality, and technological sophistication, with a particular emphasis on the moderating effect of digital literacy—a factor often overlooked in previous research. Data from 179 respondents were analyzed using Structural Equation Modeling (SEM) with SmartPLS. The findings reveal that perceived authenticity, content quality, and technological sophistication significantly enhance consumer engagement with virtual influencers, especially among digitally literate consumers. Digital literacy plays a critical moderating role, amplifying the impact of these influencer attributes and highlighting the importance of digital fluency in consumer interactions with advanced digital personas. These insights offer a theoretical contribution to the literature on influencer marketing and provide practical guidance for Indonesian brands seeking to connect with younger, tech-savvy audiences. By prioritizing authenticity, high-quality content, and appropriate technological sophistication, brands can strategically leverage virtual influencers to cultivate deeper, more meaningful engagement in Indonesia’s rapidly evolving digital landscape.

Research on the Operation Status and Development Strategy of Wechat Public Account

With the continuous development and progress of global science and technology, the demand of users is increasing, and Wechat, as an important information exchange platform, plays an indispensable role in daily communication and communication. The Wechat public account, one of its main functions, plays a major advantage in disseminating information and providing facilitation services. However, how to create a fair public account environment so that each content production subject achieves satisfactory communication effects needs to be further studied. This paper studies the operation status and development strategy of Wechat public accounts. By searching and reading relevant materials and literature, it comprehensively analyzes the content production characteristics of different types of Wechat public accounts and finds that the development of science and technology and the needs of users are the main factors that promote the rapid development of Wechat public accounts. It is characterized by diversity of content and subject, fragmentation of content production, low publicity cost and high communication efficiency, accurate positioning of users, and secondary transmission. However, there are still many problems in the operation of Wechat public accounts, such as insufficient attention from content producers, homogeneity and vulgar content, irregular time of content release, fan conversion rate, and insufficient user loyalty. Content producers can win better communication effects by releasing high-quality content, enhancing user loyalty, expanding the dissemination scope by secondary communication, and using Wechat public accounts for product marketing in multiple ways.

Application of In-Feed Advertisements on Social Media - Taking RED as an Example

Abstract: As a new type of advertisement supported by Big Data Calculus, in-feed advertisement is sought after by a wide range of brand merchants. The article introduces two basic advertising of feed: basic orientation and behavioral orientation. Basic orientation categorizes users based on region, age, gender, and login device, while behavioral orientation tags users based on their searches, comments, likes, and deeper engagement with bloggers. This article studied in-feed advertisements and their impact on the process of the RED platform, from clicking on the homepage to completing the advertisement push. Besides, the advantages of the long exposure time of traffic on the RED platform were listed, as well as the importance of search behavior and high-quality content for the platform, and there were also suggestions for search engine optimization (SEO). Finally, it is concluded that in-feed advertising can achieve precise advertising placement and brand promotion by leveraging the basic and behavioral characteristics data of each user on RED, creating many classic successful cases.

SVT 55: A High Yielding Rabi Sorghum Variety with Multiple Pest Tolerance

SVT 55 is a high yielding Rabi sorghum culture identified at Agricultural Research Station, Tandur, Professor Jayashankar Telangana State Agricultural University, Telangana and released by State Varietal Release Committee during 2023 in the name of Tandur Jonna 55 for the state of Telangana. It matures in 115-120 days and is adapted specifically to Rabi season. The culture recorded an average seed yield of 3245 kg/ha, with a mean grain yield advantage of 26 % over the popular check M 35-1and 12.3 % over the local check SVT 68 in the trials conducted during 2016-2022. The culture is moderately resistant to charcoal rot, recorded on par pest reaction score with respect to resistant checks for the insect pests of shoot fly, stem borer, aphids and fall army worm. It has high crude protein content (10.96 %) and good roti quality.

The Path of Breaking Out of the Circle for Prose Works in Film and Television as Seen from To the Wonder

The TV series To the Wonder, adapted from a prose work, has garnered phenomenal attention with its high-quality content and poetic and healing style. The drama has achieved success in script adaptation by creating quality text content, and it has provided audiences with fresh aesthetic experiences by using visual language and poetic and scattered cultural narrative. At the same time, the content's dissemination and marketing are based on a multi-media matrix, with multi-channel dissemination, and it has explored a new path for diverse expression of prose works through the creation of IP-based derivative products in the film and television industry.

Linguistic insights into high-quality content for SEO: Optimizing high-quality content with Grice's conversational maxims

Attaining a first-page position in search engine results is crucial for websites, impacting their visibility. Search engine optimization involves technical and content optimization strategies to enhance a website's visibility. Central to this effort is the creation and maintenance of high-quality content that satisfies search engine algorithms and engages the intended audience. However, creating high-quality content is inherently challenging due to its subjective and multifaceted nature. This study addresses this challenge by analyzing high-quality content through a linguistic lens. It introduces a tailored framework that includes textual, stylistic, technical, and regulatory criteria, outlining the essential features of user-oriented high-quality content. Furthermore, this research advocates for the application of Grice's conversational maxims—quality, quantity, relevance, and manner—in content creation and optimization to enhance the development of high-quality content. Employing a quantitative methodology and drawing on findings from an experiment conducted on Google's search engine platform, this study promotes the effective utilization of these maxims to cultivate high-quality content and improve rankings on search engine results pages.

Enhancing ePaper Reader Intentions through Website Design, Information Quality, and Usefulness

This study examines how website design, information quality, and utility affect ePaper use, with brand trust and attitude as mediators. This study examines the factors that influence ePaper readers’ intentions to use the service. The quantitative study uses a survey questionnaire to collect data. A convenience sample of ePaper readers was selected. Structural Equation Modelling (SEM) was used to analyses data and determine variable relationships. The study found that website design, information quality, and usability affect brand trust, attitude, and ePaper use. A well-designed website with high-quality information and handy features boosts brand trust and attitude, which affects ePaper service use. This study adds to the literature by examining the relationships between website design, information quality, utility, brand trust, attitude, and ePaper use. The results suggest that ePaper suppliers should priorities website design, high-quality content, and useful features to build brand confidence and reader loyalty. It will boost their desire to use the service. Future investigations should aim to examine the potential effects of supplementary variables that could potentially influence individuals’ intents to utilized ePaper, including those related to user experience and social dynamics.

Automatic generation of physics items with Large Language Models (LLMs)

High-quality items are essential for producing reliable and valid assessments, offering valuable insights for decision-making processes. As the demand for items with strong psychometric properties increases for both summative and formative assessments, automatic item generation (AIG) has gained prominence. Research highlights the potential of large language models (LLMs) in the AIG process, noting the positive impact of generative AI tools like ChatGPT on educational assessments, recognized for their ability to generate various item types across different languages and subjects. This study fills a research gap by exploring how AI-generated items in secondary/high school physics aligned with educational taxonomy. It utilizes Bloom's taxonomy, a well-known framework for designing and categorizing assessment items across various cognitive levels, from low to high. It focuses on a preliminary assessment of LLMs ability to generate physics items that match the Bloom’s taxonomy application level. Two leading LLMs, ChatGPT (GPT-4) and Gemini, were chosen for their strong performance in creating high-quality educational content. The research utilized various prompts to generate items at different cognitive levels based on Bloom's taxonomy. These items were assessed using multiple criteria: clarity, accuracy, absence of misleading content, appropriate complexity, correct language use, alignment with the intended level of Bloom's taxonomy, solvability, and assurance of a single correct answer. The findings indicated that both ChatGPT and Gemini were skilled at generating physics assessment items, though their effectiveness varied based on the prompting methods used. Instructional prompts, particularly, resulted in excellent outputs from both models, producing items that were clear, precise, and consistently aligned with the Application level of Bloom's taxonomy.

Accessibility Challenges of Using Podcasts and Vodcasts in a South African Distance Learning University

Academic writing presents a range of challenges for students, particularly those enrolled in distance university institutions. These challenges encompass various facets such as understanding citation and referencing, developing a distinctive writer’s voice, mastering academic discourse, paraphrasing, summarising, and adhering to academic conventions. Notably, deficiencies in academic writing skills often trace back to inadequate preparation during high school education, potentially leading to qualification deferment and high dropout rates. To tackle these challenges, podcasts and vodcasts emerged as essential tools to bridge academic gaps, catering to diverse learning styles and offering flexibility beyond traditional teaching methods. However, the efficacy of supplemental multimedia tools warrants exploration, considering uncertainties regarding student acceptance. Thus, this study aimed to identify accessibility challenges, to reduce existing barriers and enhance accessibility in open distant institutions. Utilising qualitative research methodologies, including focus group discussions and literature analysis, data collection was conducted. The study drew upon Moore’s theory of transactional distance and Garrison et al.’s community of inquiry framework to create collaborative online interactions and meaningful lecturer-student engagement, culminating in the construction of new knowledge. Findings revealed that students did not encounter accessibility challenges and expressed preference for shorter podcasts and vodcasts. These multimedia formats alleviated boredom, clarified complex concepts, prevented monotony, enhanced attention and comprehension, stimulated interest, facilitated active learning, and accommodated various learning styles. Podcasts and vodcasts reduced transactional distance and created a sense of community. Contrary to prevailing literature, students did not encounter accessibility challenges, shifting the focus towards shorter, high-quality multimedia content rather than accessibility concerns.

Does Social Media Content Quality and Engagement Influence Consumer Satisfaction in the Apparel Industry?

This study examines the influence of social media marketing on consumer satisfaction in the apparel industry, with a focus on key factors such as engagement and content quality. The rapid growth of social media has reshaped the way consumers interact with brands, making it essential to understand how these platforms influence consumer behavior. The research problem centers on determining the impact of social media engagement and the quality of social media content on consumer satisfaction. The study aims to explore these relationships and provide insights into effective social media marketing strategies for apparel brands. Using a descriptive research design, the study was conducted in Coimbatore district with a sample size of 139 respondents identified through convenience sampling. Data was collected using structured questionnaires, and relevant statistical tools, including ANOVA, Correlation Analysis, and Multiple Linear Regression, were used to analyze the data. The findings reveal that frequent interaction with brands and engaging visual content are key drivers of consumer satisfaction. Findings of the study reveals that social media marketing plays a crucial role in shaping consumer behavior in the apparel industry, and brands must refine their strategies to meet consumer needs and enhance satisfaction through consistent, high-quality content.

YouTube as a Tool for Medical Education: Analyzing Content Quality and Reliability on Chiari Malformation

Chiari malformation is a structural defect in the brain, affecting the cerebellum, brainstem, upper cervical cord, and cranial base, with severe cases involving herniation through the foramen magnum. This condition can significantly impact the patient's quality of life. Given the elective nature of surgical treatment for Chiari 1malformations, many patients seek supplemental information on YouTube. This study aimed to evaluatethe quality, accuracy, reliability, and educational value of YouTube videos on Chiari malformation decompression surgery. We selected 77 videos for analysis based on specific criteria such as language, duration, and minimum view count. The selected videos were scored using modified DISCERN, Global Quality Score, and Journal of the American Medical Association criteria. Data regarding the video content and creators were collected. Statistical analysis was performed using the Kolmogorov-Smirnov test to assess data normality and the Mann-Whitney U test to determine statistical significance. The overall quality and reliability of YouTube videos on Chiari malformation decompression surgery were found to be moderate. Videos longer than 5 minutes and those featuring a physician had significantly higher scores across all metrics. This study highlights the need for improved regulation and the promotion of high-quality medical content on online platforms. Healthcare providers should guide patients toward reliable resources and consider collaborating with content creators to enhance the quality of educational materials available online.Improved oversight and quality control on platforms like YouTube can better support patient education and clinical decision-making.

A Systematic Review of Cervical Cancer Mobile Applications and a Future Directions for Developers.

The objective of this study is to evaluate the quality of mobile health (mHealth) applications that promote cervical cancer awareness and provide screening assistance, with an emphasis on apps available on the Google Play Store and iOS. From December 2023 to February 2024, we assessed mobile applications focused on cervical cancer screening that are available on Google Play and Apple iTunes. The "Cervical Cancer," "Mobile Application," "Pap Test," "Cervical Cancer Guide," "Human Papillomavirus," plus "Cervical Screening are the keywords used to search the applications." Data collection includes features such as application name, pricing, download metrics, invention date, last update, affiliation, online access, login requirements, and notification functionality, which were gathered in Excel. Interrater reliability based on four reviewers' independent judgments, varied from 0.75 to 0.83. In our research, we found 25 apps (16 on the Google Play Store and 9 on iOS). After a thorough review, only 14 relevant apps were included. According to the MARS rating, Rise Against Cancer received the highest score (3.9), followed by FightHPV and Cervical Cancer Forum (3.8). Rise Against Cancer (29), HPV Vaccine (28), and CDC STI Tx Guidelines (28) scored highest in the APPLICATIONS rating system. Hope 4 All and OCI Cervibreast closely matched the statements, meeting seven of the thirteen requirements each. Future app developers should produce user-friendly, often updated mHealth applications that include high-quality cervical cancer awareness and screening content. These apps should provide validated information and pleasant graphic effects.

What motivates knowledge sharing? Evaluating the quality of answer contribution in online Q&A communities

The Online Q&A community provides platforms for Internet users to exchange and share knowledge. Its rapid development has caused the problem of information overload, which promotes users' demand for precise and personalized information. In light of this, we innovatively analyze the correlation between knowledge quality and user behaviors. First, we propose a novel approach method to evaluate the answer quality through a machine learning approach, which applies the information adoption theory to the design of a text classification model. Hereafter, with applications of motivation crowding theory, this paper introduces the classification results of answer quality by machine learning algorithms into the empirical research model to explore the factors that motivate users in both participation and high-quality user-generated content creation. Results show that both extrinsic and intrinsic factors determine the quality of knowledge contributors' answers. Further, certain external interventions (monetary rewards) can crowd out the effects of knowledge contributors’ intrinsic motivations (knowledge self-efficacy). It enriches the research on user knowledge contribution behavior in online Q&A communities and also provides theoretical guidance and suggestions for community operation.