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Artificial Intelligence (AI) and Machine Learning (ML) technologies offer the potential to support digital content creation and media production, providing opportunities for individuals from diverse sociodemographic backgrounds to engage in creative activities and enhance their multimedia video content. However, less attention has been paid to recent research exploring any possible relationships between AI-generated video creation and the sociodemographic variables of undergraduate students. This study aims to investigate the multifaceted relationship between AI-generated video content and sociodemographics by examining its implications for inclusivity, equity, and representation in the digital media landscape. An empirical study about the use of AI in video content creation was conducted with a diverse cohort of three hundred ninety-eighth undergraduate ( n  = 398) students. Participants voluntarily took part and were tasked with conceiving and crafting their AI-generated video content. All instruments used were combined into a single web-based self-report questionnaire that was delivered to all participants via email. Key research findings demonstrate that students have a favorable disposition when it comes to incorporating AI-supported learning tasks. The factors fostering this favorable attitude among students include their age, the number of devices they use, the time they dedicate to utilizing technological resources, and their level of experience. Nevertheless, it is the student’s participation in AI training courses that exerts a direct impact on students’ ML attitudes, along with their level of contentment with the reliability of these technologies. This study contributes to a more comprehensive understanding of the transformative power of AI in video content creation and underscores the importance of considering instructional contexts and policies to ensure a fair and equitable digital media platform for students from diverse sociodemographic backgrounds.

Since late 2022, dozens of YouTube channels focusing on a diverse array of topics related to language learning with generative AI tools such as ChatGPT have rapidly emerged. This study explores the implementations and perspectives of YouTube content creators who now constitute an increasingly important segment of the ecosystem of language teaching and learning. A mixed methods netnographic approach was employed, combining qualitative and quantitative techniques. A total of 140 videos were identified and analyzed, and an in-depth content analysis was conducted to uncover underlying themes. Four main categories of creators were identified: educators, learners, technology professionals, and e-learning providers. Educators, especially English and Japanese teachers, were the majority, followed by learners and technology field professionals. This study highlights the benefits, drawbacks, and concerns associated with the integration of AI tools in language learning. By examining this rapidly evolving phenomenon, the study contributes towards an understanding of the role and impact of generative AI tools in language education.

This study aims to examine the effect of determinants of the quality of tax audits for content creation tax on formal tax compliance and actual tax compliance. We used the questionnaire tool to collect data for a sample of 179 tax auditors, also we used partial least squares (PLS) to test the hypotheses. The result showed each of the regulations and laws, the quality of communication between the tax authority and taxpayers and the determinants associated with organizations have a positive effect on formal tax compliance. Meanwhile, the regulations and laws have a positive effect on actual tax. Also, there is no effect for both the quality of communication between the tax authority and taxpayers and the determinants associated with organizations on actual tax compliance. This study focused on the income tax on the profits of content creators and did not address the value-added tax on content creation. This study was also limited to the opinions of tax auditors and did not address the opinions of content creators. Plain Language Summary Quality of tax audits for content creation tax and tax compliance Although there are many studies that dealt with the issue of taxes in Egypt. But studies addressing the content creator tax are still limited. The purpose of the study to examine the effect of determinants of the quality of tax audits for content creation tax on formal tax compliance and actual tax compliance.

Finding the right content determines success in diverse activities and in various marketing functions such as advertising, public relations, social media marketing, customer relationship management, inbound marketing or personal sales. High-quality content is needed when communicating brand purpose, responding to a social media firestorm or investing in high-reach channels such as traditional TV advertising. Top-of-funnel marketing activities such as blog or social media posts, search engine marketing, press releases, e-mail marketing, cold outreach in sales or the creation of landing pages for inbound marketing all benefit from more efficient creation of more content. According to estimates from communication giant WPP, savings can be as much as 10 to 20 times.

PurposeThe proliferation of non-fungible token (NFT)-based crypto-art platforms has transformed how creators manage, own and earn money through the creation, assets and identity of their digital works. Despite this, no studies have examined the drivers of continuous content contribution behavior (CCCB) toward NFTs. Hence, this study draws on the theory of relational bonds to examine how various relational bonds affect feelings of psychological ownership, which, in turn, affects CCCB on metaverse platforms.Design/methodology/approachUsing structural equation modeling and importance-performance matrix analysis, an online survey of 434 content creators from prominent NFT platforms empirically validated the research hypotheses.FindingsFinancial, structural, and social bonds positively affect psychological ownership, which in turn encourages CCCBs. The results of the importance-performance matrix analysis reveal that male content creators prioritized virtual reputation and social enhancement, whereas female content creators prioritized personalization and monetary gains.Originality/valueWe examine Web 3.0 and the NFT creators’ network that characterizes the governance practices of the metaverse. Consequently, the findings facilitate a better understanding of creator economy and meta-verse commerce.

With the advancements in science and technology and the improvement of medical care, mental health problems are receiving increasing attention. Increasing numbers of children, adolescents, and young adults are susceptible to anxiety. This paper assesses young adults based on self-determination theory and the theory of planned behaviour to determine the intrinsic and extrinsic motivations and mediating variables behind young adults’ content creation behaviour within anxiety disorder online communities (ADOCs). In addition, the paper introduces empathy as a moderating variable, builds a model of the content creation behavioural motivation of young adults, studies the motivation behind young adults’ content creation behaviour in ADOCs, and determines the moderating effect of empathy on young adults’ content creation behaviour. The research data were obtained using a questionnaire survey, and the SmartPLS structural equation model was used for empirical analysis. The study found that expressing one’s anxiety was the most obvious motivation, the content creation intention of young adults significantly positively affected their content creation behaviour, perceived enjoyment motivation had a significant negative influence on young adults’ intention to create content, reward motivation had no significant influence on the content creation intention of young adults, other motivations had significant positive influences on young adults’ content creation intention, and empathy only had a significant negative moderating effect on the relationship between self-efficacy and young adults’ content creation intention. This study not only enriches and expands research on motivation theory but also has practical significance for the improvement and active development of ADOCs.

CaShawn Thompson crafted Black Girls Are Magic as a proclamation of Black women's resilience in 2013. Less than five years later, it had been repurposed as a gateway to an attractive niche market. Branding Black Womanhood: Media Citizenship from Black Power to Black Girl Magic examines the commercial infrastructure that absorbed Thompson's mantra. While the terminology may have changed over the years, mainstream brands and mass media companies have consistently sought to acknowledge Black women's possession of a distinct magic or power when it suits their profit agendas. Beginning with the inception of the Essence brand in the late 1960s, Timeka N. Tounsel examines the individuals and institutions that have reconfigured Black women's empowerment as a business enterprise. Ultimately, these commercial gatekeepers have constructed an image economy that operates as both a sacred space for Black women and an easy hunting ground for their dollars.

Recent studies have explored the generation of three-dimensional (3D) meshes from single images. A key challenge in this area is the difficulty of improving both the generalization and detail simultaneously in 3D mesh generation. To address this issue, existing methods utilize fixed-resolution mesh features to train networks for generalization. This approach is capable of generating the overall 3D shape without limitations on object categories. However, the generated shape often exhibits a blurred surface and suffers from suboptimal texture resolution due to the fixed-resolution mesh features. In this study, we propose a joint optimization method that enhances geometry and texture by integrating generalized 3D mesh generation with adjustable mesh resolution. Specifically, we apply an inverse-rendering-based remeshing technique that enables the estimation of complex-shaped mesh estimations without relying on fixed-resolution structures. After remeshing, we enhance the texture to improve the detailed quality of the remeshed mesh via a texture enhancement diffusion model. By separating the tasks of generalization, detailed geometry estimation, and texture enhancement and adapting different target features for each specific network, the proposed joint optimization method effectively addresses the characteristics of individual objects, resulting in increased surface detail and the generation of high-quality textures. Experimental results on the Google Scanned Objects and ShapeNet datasets demonstrate that the proposed method significantly improves the accuracy of 3D geometry and texture estimation, as evaluated by the PSNR, SSIM, LPIPS, and CD metrics.

This study focuses on determining the correlation between digital competencies and academic self-efficacy of students in universities in the Selva Central (Central Jungle) region of Peru to establish the significance of these factors in academic achievement. This study employs a quantitative, hypothesis-testing design and is both fundamental and co-relational in nature; 84 students from Universidad de la Selva Central were selected. Validated questionnaires were used to gather data on the participants’ DCs including information literacy, communication, content creation, security, and problem-solving skills, as well as the academic self-efficacy of the participants, with all having reliability scores of 0.823 and 0.895, respectively, for the Spearman correlation coefficient. By using statistical analysis, it was established that there is a stronger positive relationship between academic self-efficacy and every dimension of the digital competencies; this was particularly the case with communication and collaboration, rho = 0.853, and digital content creation, rho = 0.863. As such, there is evidence that increasing digital literacy may help improve the learners’ self-confidence in achieving academic success and address the problem of early school leaving, as well as improve competitiveness in the European Union labor market. This study suggests that appropriate curricula and/or workshops to strengthen these effectiveness- and efficiency-related competencies be disseminated to education stakeholders and the findings published in relevant outlets. This research therefore fits within the larger body of literature on the inclusion of digital literacy within tertiary education, information science, and technology.

After years of internet prohibitions, the 2020 coronavirus pandemic ushered in a new age of digital Hasidic Yiddish screen production. In addition to existing list-servs, Hasidic Yiddish speakers have increasingly employed new media platforms to produce and disseminate screen production, including comedy sketches and shorts; behind-the scenes for feature films; music videos; and videocasts. Intended for Hasidic audiences, these express and promote the social and religious mores of their communities. By the same token, today’s professionalized production is widely accessible to both Hasidic and broader audiences via video sharing, streaming, and social media. This article examines Yiddish-language screen production among emerging and established Hasidic content creators as a dramatic shift in Haredi cultural production across production, content, language, and distribution. In doing so, it considers what “kosher entertainment” entails in the immediate aftermath of the 2020 COVID-19 (coronavirus) pandemic.