Content Creation Research Articles

Moral orders of pleasing the algorithm

This article examines how ‘pleasing the algorithm’, or engaging with algorithms to gain rewards such as visibility for one’s content on digital platforms, is treated from a moral perspective. Drawing from Harré’s work on moral orders, our qualitative analysis of Reddit messages focused on social media content creation illustrates how so-called folk theories of algorithms are used for moral evaluations about the responsibilities and worthiness of different actors. Moral judgements of the actions of content creators encompass ideas of individuals and their agency in relation to algorithmic systems, and these ideas influence the assessment of algorithm-pleasing as an integral part of the craft, as condemnable behaviour, or as a necessary evil. In this way, the feedback loops that arrange people and code into algorithmic systems inevitably make theories about those systems also theories about humans and their behaviour and agency.

ControlMat: A Controlled Generative Approach to Material Capture

Material reconstruction from a photograph is a key component of 3D content creation democratization. We propose to formulate this ill-posed problem as a controlled synthesis one, leveraging the recent progress in generative deep networks. We present ControlMat, a method which, given a single photograph with uncontrolled illumination as input, conditions a diffusion model to generate plausible, tileable, high-resolution physically-based digital materials. We carefully analyze the behavior of diffusion models for multi-channel outputs, adapt the sampling process to fuse multi-scale information and introduce rolled diffusion to enable both tileability and patched diffusion for high-resolution outputs. Our generative approach further permits exploration of a variety of materials that could correspond to the input image, mitigating the unknown lighting conditions. We show that our approach outperforms recent inference and latent-space optimization methods, and we carefully validate our diffusion process design choices. 1

Tools for Enhancing Research Outputs through AI Content Creation: An Analytical Review

In the fast-paced realm of modern research, the incorporation of Artificial Intelligence (AI) technologies has fundamentally transformed scholarly practices of creating and disseminating knowledge. By harnessing AI tools and algorithms, researchers can optimize writing workflows, improve data analysis, maintain linguistic accuracy, and keep up with evolving trends in their respective domains. Through an extensive examination of literature and case studies, this study illuminates AI’s capacity to enhance the influence of research publications. Moreover, it delves into the challenges associated with AI utilization, stressing the importance of ethical considerations and responsible AI adoption within academic circles.

Relevance of Bharata Muni’s Natyashastra in Digital Era

This article examines the relevance of Bharata Muni’s Natyashastra in the digital era through qualitative methods such as textual analysis and interpretation. It investigates Natyashastra’s principles, theories, and concepts, assessing their applicability to modern digital communication, content creation, and effective presentation. Using primary sources like translated Nepali texts, previous research works, and secondary scholarly interpretations, the study highlights parallels between Natyashastra and contemporary digital practices. Natyashastra, a foundational text for performing arts, communication, and human behavior, provides comprehensive guidelines on philosophical, spiritual, emotional, and technical expression. It emphasizes the emotional essence (Rasa) and the art of expression (Abhinaya), which are crucial for digital communication. By exploring theatrical elements and holistic storytelling techniques, Natyashastra can inspire innovative digital content production and presentation, enhancing authenticity and engagement. This article underscores the enduring significance of Natyashastra, enriching modern communication and artistic practices, and fostering deeper connections with audiences in the digital landscape.

Illegally beautiful? The role of trust and persuasion knowledge in online image manipulation disclosure effects

The accessibility of powerful photo editing tools has caused image retouching and manipulation to become widespread among sponsored social media content. Images in sponsored posts featuring influencers are often edited to reflect unrealistic body proportions, potentially harming consumers if they compare themselves to unattainable beauty standards. In response to this trend, regulators in different countries have moved to consider or adopt disclosure policies; however, disclosure practices and their effects have not been extensively studied. An online experimental study (N = 480) identified that low- and high-detail disclosures of image manipulation lowered consumer trust. Decreased trust led consumers to use their persuasion knowledge, resulting in less favorable attitudes toward both the brand and influencer, reduced interest in seeking more information about the brand, and diminished body comparison. Finally, implications for various stakeholders, including content creators, brands, and policy-makers, are discussed.

Predicting the Views of TED Talks using Machine Learning Model

A forecast of such accuracy would have significant implications in this respect for content creators, marketers, and researchers alike. The paper questions whether machine learning models can predict the views that any certain TED Talks receive with a dataset containing features on the duration of the talks, characteristics of the speaker, the date of publication, metrics indicating audience engagement, and so on. In this work, we employ techniques of multiple regression, decision trees, and ensemble methods to identify empirically which factors have the most influence and to come up with the best models for the prediction. Indeed, the results obtained easily indicate that the ensemble models-especially Random Forest and Gradient Boosting- perform way above the rest. These features help to emphasize the fact that machine learning will help guide a content strategy to better reach audiences and give insight into a deeper understanding of how digital content is consumed. Keywords: TED Talks, machine learning, predictive modeling, view prediction, Random Forest, Gradient Boosting, digital content analysis, audience engagement.

Implementasi Strategi Komunikasi Surya Citra Media pada Tiktok @indosiar_sports

Surya Citra Televisi is a national private television station in Indonesia founded on August 24, 1990, in Surabaya, later moved to Jakarta. PT INDOSIAR VISUAL MANDIRI is known to all Indonesians for its flagship programs such as soap operas, infotainment, sports, and special events. Social media Sports Indosiar is an essential aspect in promoting the programs at INDOSIAR. The presence of INDOSIAR social media creates interactions between the @indosiar_sports account and TikTok users, influencing engagement on the account. To achieve engagement targets, content is crucial for increasing the engagement of the TikTok @indosiar_sports account. This research aims to provide insight into the selection and content creation process to offer broad reach to TikTok users, especially followers of @indosiar_sports. The theoretical basis includes Communication Strategy, Marketing Communication, Social Media Content, The Circular Model of SoMe, TikTok, and Engagement. The data collection methods used are quantitative and qualitative, observation, and documentation.

MERIT (Manuscript Evaluation Reflecting Intrinsic Tenets): A Framework for Efficient and Equitable Academic Peer Review

Peer review is a cornerstone of academic integrity and rigor in research dissemination. This process, bridging knowledge creation and publication, demands considerable time and effort from content creators, reviewers, and editors. Peer review often entails multiple iterations across various journals, requiring hundreds of hours of commitment and often leading to frustration. However, this investment can be fruitful, enhancing manuscript quality, correcting errors, and ensuring appropriate audience targeting. Collectively, peer review consumes millions of hours and incurs billions in costs, largely borne by funding agencies and governments. This scenario raises critical questions about optimizing the process and the potential impact of reviewer education on efficiency and outcomes. Surprisingly, formal training for reviewers is scarce across undergraduate and graduate programs globally. Learning is predominantly informal, through mentorship or personal experience. Journals typically offer minimal guidance, relying on basic questions and rankings to assist editors. It is quite remarkable that such a loosely structured approach for peer review, with minimal guidance, is the norm for a process of great consequence. The outcomes of peer reviews can delay publications for years, significantly impact careers, and influence decisions on grants and promotions. This course introduces novel tools and concepts to refine the peer review process: 1) The “Main Result Justification Sheet,” created to make reviews more efficient and transparent for readers; 2) “Publicon,” a term inspired by the fundamental units of quantum physics such as the photon, representing the minimum quantum of information necessary to advance a field and merit publication in a peer-reviewed journal; and 3) A MERIT-based peer review model (Manuscript Evaluation Reflecting Intrinsic Tenets), outlining new guidelines that base acceptance solely on the intrinsic merits of the manuscript, with assessments of potential audience engagement and distribution determined subsequently. A key innovation of the MERIT-based model is the separation of the peer-review process from the distribution of the manuscript. Once a manuscript is validated through independent peer review, its distribution becomes a separate consideration. Authors or independent platforms can disseminate validated work efficiently, whether through evolving forms of what we currently call journals or social media. This separation ensures that the focus remains on the quality of the research itself, rather than on the prestige of the distributing entity. This course is designed to provide a structured framework to academic peer review with the goal of elevating quality, fostering equity, and minimizing bias. The course includes interactive sections with open-ended and multiple choice questions to stimulate thought and understanding. This course is designed for both novices and seasoned reviewers, aiming to refine their skills and adapt to specific academic fields.

Imbalanced specialty representation of USMLE and NBME test writers

PurposeThe United States Medical Licensing Examination (USMLE) is an examination series required for allopathic physician licensure in the United States (US). USMLE content is created and maintained by the National Board of Medical Examinations (NBME). The specialty composition of the USMLE and NBME taskforce members involved in the creation of examination content is currently unknown.MethodsUsing the 2021 USMLE and 2021 NBME Committees and Task Forces documents, we determined each member’s board-certified primary specialty and involvement in test material development committees who we dubbed “test writers”. Total active physicians by primary specialty were recorded from the 2020 Physician Specialty Data Report published by the Association of American Medical Colleges (AAMC). Descriptive statistics and chi-square analysis were used to analyze the cohorts.ResultsThe USMLE and NBME test writer primary specialty composition was found to be significantly different compared to the US active physician population (USMLE χ2[32] = 172, p < .001 and NBME χ2[32] = 200, p < .001). Only nineteen specialties were represented within USMLE test writers, with three specialties being proportionally represented. Two specialties were represented within NBME test writers. Obstetrics and Gynecology physicians were proportionally represented in USMLE but not within NBME test writers. Internal Medicine (IM) accounts for the largest percentage of all USMLE test writers (60/197, 30%) with an excess representation of 31 individuals.ConclusionsThere is an imbalance in the specialty representation of USMLE and NBME test writers compared to the US active physician population. These findings may have implications for the unbiased and accurate portrayal of topics in such national examinations; thus, future investigation is warranted.

Generative AI and the Future of Service Design: The potential to transform the service design practice in dramatic and efficient ways

AI is dramatically increasing service designers’ capacity to deliver value. A McKinsey report (June 2023) values the potential productivity improvement of AI in customer operations at over US00 billion annually, and the potential for marketing productivity improvement at over US50 billion annually, thanks to efficient content creation, enhanced use of data and individual personalisation.1 To learn how AI is transforming service design, we conducted secondary research and interviews with a 40-year veteran of the tech industry, the head of design quality and collaboration for a global healthcare brand and the head of operating system customer experience for a leading luxury car brand.

Musical Identity in Contemporary Creative Works Among Thai Jazz Artists

This study aims to explore the musical identity of Thai contemporary jazz artists by examining their attitude, musical content, and music creation process. Thirteen informants participated in this qualitative study through in-depth interviews. The results demonstrated that musical identity could be divided into three categories: 1) regional musical identity, 2) individual musical identity and 3) cultural musical identity. The factors associated with the emergence of musical identity include musical movements and phenomena, integration between two musical styles in terms of articulation and contextual elements, and contemporary and hybrid-crossover music approaches in today’s world. These factors, along with social interactions both within and outside the jazz community, affect the transformation of musical identity. The findings of this study will help Thai jazz artists and those involved in the jazz industry effectively build their musical identity, create value for their music, and elevate their works to an international level.

ANALISIS YURIDIS PERLINDUNGAN HUKUM TERHADAP PENCIPTA LAGU ATAS TINDAKAN COVER MELALUI MEDIA SOSIAL BERDASARKAN UNDANG-UNDANG HAK CIPTA

Legal protection is an obligation that must be fulfilled by the government to provide a sense of security to the public, one of which is legal protection in the field of copyright relating to musical works of art. This research is motivated by the many cases that occur in society related to copyright violations in the music sector, namely illegal song covers via the YouTube platform and other social media, content creators or YouTubers earn income from the adsens of the videos they upload while on the other hand this detrimental to the songwriters or copyright holders of the song. The formulation of the problem in this research is what is the legal protection for songwriters for covering acts via social media platforms based on copyright law, what actions can be taken by songwriters for covering acts via social media platforms based on copyright law, This research was conducted using a normative method using a statute approach and a conceptual approach and a problem approach. The results of this study provide legal protection for songwriters for cover acts through the YouTube platform based on Law No. 28 of 2014 and preventive efforts made by the government through the Ministry of Communication and Information (Kemenkominfo) to regulate YouTube channels or other social media by blocking them and then applying pressure (repression) such as compensation to requesting a stop to illegal cover activities of the works produced.

Exploring The Influence of Short Travel Reels and Video Reviews on Travel Inspiration: A Study of Island Reviews

This study investigates the impact of short travel video reels on travel inspiration and intention, focusing on how presenter attractiveness, destination attractiveness, and video design influence viewers’ motivation to travel. Despite extensive research on traditional travel marketing methods, there is a notable gap in exploring the role of short-form video content in influencing travel-related decisions. The primary objective of this research is to examine how various elements of short travel video reels affect travel inspiration and intention. The study employs a systematic sampling technique with an intercept method, utilising survey data from participants who watched short travel videos showcasing different presenters, destinations, and video designs. The methodology includes mediation and moderation analyses to assess the relationships between the attractiveness factors and travel intention mediated by travel inspiration. The findings reveal that presenter attractiveness, destination attractiveness, and video design significantly influence travel intention, with travel inspiration as a critical mediator. The study confirms that engaging and visually appealing travel videos can effectively stimulate viewers’ desire to travel. However, the expected moderating effect of openness to experience on these relationships was not supported, suggesting that other factors may play a more significant role in shaping travel inspiration. For marketers and content creators, the findings highlight the importance of investing in high-quality, visually compelling travel content and selecting charismatic presenters to maximise viewer engagement. Additionally, the research underscores the need for future studies to explore emerging media formats and cultural variations in travel inspirations.

Global influencers’ content creation strategies: Negotiating with platform affordances to practice vernacular creativity

We examine how globally oriented-influencers from India utilize specific strategies of content creation to negotiate with the dominant logic of platform affordances to engage with global audiences. It involves individual negotiations by the influencers with the platform affordances in creating content that foregrounds their cultural realities and aspirations while remaining relevant to global audiences. We do so by deploying the critical technocultural discourse analysis (CTDA) framework to understand influencers’ strategic choices and discursive practices as they interact and negotiate with the platform affordances. Our analysis shows two processes that help the influencers communicate their content to the global audience and sustain their local connections and followership: (1) Templatization: a process through which influencers from the global South attune themselves to the technological possibilities of the platform and utilize its features to produce content with a set of replicable patterns, formats, and practices; and (2) Cultural brokering: a negotiation strategy which allows the influencers to foreground and express their quotidian lived realities and cultural experiences in an increasingly globalized digital environment.

Pemberdayaan Masyarakat melalui Media Digital: Optimalisasi Smart Digital Marketing Berbasis Aplikasi untuk Penguatan Usaha Lokal Warga Ngampel Kulon

The advancement of digital technology has revolutionized marketing from traditional methods to online approaches. Digital marketing, leveraging digital media and the internet, including e-commerce and social media, has become a crucial element in promoting products and services. According to Kotler and Keller (2023), digital marketing not only boosts sales but also strengthens brand identity and fosters customer relationships. In Indonesia, Micro, Small, and Medium Enterprises (MSMEs), which significantly contribute to the local economy, can utilize digital marketing to expand their market reach and improve efficiency. This study was conducted in Ngampel Kulon Village, Kendal Regency, Central Java, focusing on MSME operators and aspiring entrepreneurs who have not fully utilized digital platforms such as WhatsApp Business. The research method involved observation, economic potential identification, and training using a Participatory Rural Approach. The training covered four main components: an introduction to digital marketing basics, copywriting techniques, digital marketing strategies, and hands-on practice with guidance. Results showed that 34 local residents and 15 KKN students exhibited high enthusiasm and successfully applied promotional strategies through social media. The evaluation indicated an improvement in knowledge and skills in using WhatsApp Business for product marketing. The conclusion is that the training successfully enhanced MSMEs' understanding and skills in digital marketing, including digital content creation and social media utilization. The program also emphasizes the need for policy makers' involvement in planning and managing local product marketing to compete globally and adapt to ongoing technological trends.

Research on the Dissemination Effect of AIGC-generated Content on New Media Platforms: A Case Study of Xiaohongshu

With the rapid development of artificial intelligence technology, AIGC (Artificial Intelligence Generated Content) technology has shown strong application potential and communication effect on new media platforms. Taking Xiaohongshu as an example, this paper deeply discusses the communication effect of AIGC-generated content on new media platforms. Through empirical analysis, this paper reveals how AIGC technology affects content creation, communication efficiency and user interaction, and analyzes the mechanism, influencing factors and future development trends behind it. The purpose of this article is to provide valuable reference and inspiration for content creators, brand owners and platform managers of new media platforms.

An assessment framework for creative production in computing and engineering disciplines

With the increasing expansion of creative computing courses among higher education institutions, there is a growing demand for more objective and efficient assessment frameworks that cater to the multidisciplinary skills that students engage in during the production of such work. This research addresses persistent gaps for a systematic approach of assessing creative content in technical courses. Existing theories are reviewed including creative requirements framework and computing production model, which leads to the establishment of a newly proposed assessment framework. A mixture of research methods is employed combining both inductive and deductive approaches, evidence- based analysis, and case study, based on data collected over three academic years at a British university. The proposed assessment framework incorporates three factors of production (function, usability, and management) and two attributes of creativity (core and optional requirements), which is evaluated to determine its suitability for accurately reflecting the work undertaken by students. Creativity is quantified in the assessment based on technical contribution. The proposed framework can be applied in the delivery of courses involving creative production in the computer science and engineering disciplines in which teaching usually focuses on technical content rather than contextual design, creativity, or aesthetics. The findings reveal positive feedback and a number of pertinent outcomes, including promoting creativity, student satisfaction, and efficient assessments. The framework may be adopted by educators for similar courses that are underpinned by technical skills and creativity.

Manufacturing influencers: the gatekeeping roles of MCNs (Multi-channel networks) in cultural production

ABSTRACT This study examines the revolutionary role of MCNs (multi-channel networks) in China's influencer market, focusing on their impact on cultural production. While existing scholarship has explored influencer precarity and platform dependency, the role of MCNs receives little attention. Drawing from platform studies, cultural production literature, and media industry research, this study maps out the development of the MCN industry and reveals the ways they shape cultural production. Our findings demonstrate that MCNs not only assist influencers in producing content and managing risk but also standardize cultural products and play a key role in restricting influencers’ creative autonomy. Moreover, MCNs provide the infrastructure and support for content creation and thus act as pivotal gatekeepers, directing influencers’ careers. We conceptualize this process as ‘manufacturing influencers’ which involves three overarching approaches: talent incubation, content optimization, and platform monetization. We argue that MCNs have moved beyond mere intermediation toward gatekeeping cultural production and consumption.

Strategi Personal Branding Konten Kreator Melalui Media Sosial Tikok

In this digital era, social media, especially TikTok, has become a favored medium among the Indonesian public. TikTok has emerged as one of the social media platforms with a broad reach for sharing various types of information. Many TikTok users have become content creators, utilizing TikTok to disseminate their content. This study aims to determine the communication strategies of film review content creators to build personal branding and secure collaborations with production houses. This research employs qualitative methods and a case study approach. The case study approach is used to provide an in-depth description of how the creator @adhehdyt manages and develops strategies related to personal branding through data collected via interviews, social media content analysis, and the collection of the creator’s documentation.. Keywords: Personal Branding, Tiktok, @adhehdyt, Social Media,Communication

The Potential of Neural Networks in Teacher Preparation for Foreign Language Classes and Educational Content Creation

Artificial intelligence (AI) technologies are now being extensively used in various fields of human activity, including science and education. Neural networks, which are AI algorithms, are widely used in language learning. The relevance of this study is due to the need to study the potential of neural networks in the process of preparing a teacher of higher school for foreign language classes. Using neural networks, the university teacher demonstrates the ability not only to choose teaching materials but also to adapt them to the real learning environment, as well as to create new materials, taking into account various available resources and educational needs. The use of neural networks helps to optimize the process of teacher’s preparation for classes. This study aims to analyze the didactic potential of Twee and Perplexity AI neural networks, as well as to examine their use in the preparation for foreign language classes and the creation of educational content for students in various fields of professional training. The research methods we applied involved analysis, comparison, generalization of scientific literature, observation, study of experience and products of activity, analysis of educational literature, modeling of educational process. The scientific novelty of the study is the development of methods of using Twee and Perplexity AI neural networks in the preparation of a set of exercises on the formation of main types of speech activity among non-linguistic students. The conclusion can be drawn that it is necessary to further develop the methodology of teaching foreign languages with the help of artificial intelligence technologies which would help in generating the unique educational content and a set of communication exercises. Twee and Perplexity AI neural networks are effective pedagogical and didactic tools in teacher preparation for foreign language classes. Keywords: artificial intelligence, Twee and Perplexity AI neural networks, creation of educational content, methods of foreign language teaching, AI technologies application