Various Types Of Content Research Articles

Digilite Content Management System Digital Library Lite

Digital library is a system that organizes and provides access to digital information content. Unlike conventional publishing, which has physical content like books, journals, and journals, digital publishing offers content in electronic format that can be accessed through a computer or other device connected to the internet. It allows users to search, download, and create various types of content, such as e-books, articles, videos, and more, from various sources. In the rapidly evolving digital era, effective and efficient content management is crucial for organizations, businesses, and individuals who want to build online presence. Content Management Systems (CMS) are a useful tool for creating, editing, and distributing content on the web without technical knowledge about coding. CMS provides user-friendly tools, allowing users to easily use text, images, videos, and other elements in their sites. Web-based digital library is a platform that uses CMS to create and distribute content without requiring technical knowledge. Users can search, download, and create digital content from various sources connected to the internet. CMS also provides a user-friendly interface and allows users to manage content efficiently, making it an ideal solution for various web publishing needs, from personal blogs to large business portals. Digital library is designed for ease of use and infrastructure, avoiding various issues. It can help create a modern, literate culture and contribute to the development of a more efficient and user-friendly system.

Methodology of Using Large Language Models to Solve Tasks of State and Municipal Government for Intelligent Abstracting and Automatic Generation of Text Content

Large language models (LLM) are finding new areas of application in practice, including the sphere of public and municipal administration. To increase the efficiency of the practical application of large language models rules and methods of interaction with them are developed, taking into account the specifics, a wide range of their possible use and increasing accessibility. The article examines the issues of improving the efficiency of large language models with various types of content using prompt engineering techniques. An analysis of a significant number of prompts for large language models and methods for their formation is presented. The article discusses the possibilities of using large language models, trained (customizable) using creative prompting for intelligent abstracting of various content with the subsequent generation of original texts and text documents for the sphere of state and municipal administration. The proposed methodology makes it possible to effectively integrate knowledge from various sources into LLM training and turn it into a truly intelligent tool that expands the possibilities of its work. When applying this approach, the LLM acts as a powerful intelligent assistant that allows you to generate a document authored by the user of the system. The use of large language models opens up wide opportunities for employees in the field of state and municipal administration to automate the process of creating thematic texts, text reports, qualification papers, reviews and analytical notes. It also allows users to see possible new meanings, previously unnoticed associations, and even generate new ideas in the field of management in the process of analyzing the texts received during the abstract. The authors have shown that in order to improve the quality of intellectual abstracting, it is necessary to carry out the iterative use of different methods of teaching (tuning) LLM. At the same time, the initial selection of texts for training, which is made by the user based on his/her own knowledge of the subject area, is important.

Implementasi Konten Marketing Pada Akun Instagram @Kampunginggrisbandung Tahun 2024

Instagram is still one of the popular social media choices in Indonesia for marketing activities. This can be seen from the number of Instagram users in Indonesia which reaches hundreds of millions of people. Based on data from Napoleon Cat, there are 109.33 million Instagram users in Indonesia as of April 2023. English Village is a company operating in the education sector by offering various English language course programs such as Speaking Class, IELTS and TOEFL Preparation as well as bootcamp programs. English Village uses Instagram social media for marketing purposes, but in the midst of increasingly massive marketing competition for English language courses, the Instagram account used by the English Village for promotion is faced with a big challenge, because engagement from followers on Instagram is still relatively low and inconsistent at all times. type of content, even though the marketing division team always uploads various types of content on a scheduled basis. Based on the research conducted by the author, it can be concluded that planning, implementing marketing content that is right and interesting and consistent in carrying out regular evaluations will greatly influence customer engagement so that it can influence buying interest for customers and potential customers.

Exploring the Attractiveness of @Mursid241 Content on TikTok Media Sosial

Content appeal is an approach to understanding why and how certain content attracts an audience. With the increasing popularity of TikTok, various types of content have emerged, including entertaining content. This research aims to understand the factors that make Mursids' content attractive to TikTok users. The research method used is a qualitative method that uses a descriptive approach, as well as a survey of TikTok users who often consume the content. The results showed that the attractiveness of Mursid content on TikTok is influenced by several factors, namely the type of content, visual characteristics, unique narrative characteristics, relevance and active engagement of content creators with their audience, emotion and empathy, interaction and response between content creators and audience, and ongoing trends and context. This research provides insights for creators of entertaining daily activities on effective strategies to increase the appeal and reach of their content on the TikTok platform.

Implications of Generative Al and Machine Learning on Automotive Industry Development & Reduction of Carbon Footprint: An Analysis of the U.S. Economy Perspective

The U.S. automotive industry is instrumental to the economy and contributes significantly to the American GDP, employment, and global trade. The principal objective of this research paper is to examine the implications of Generative AI and ML in advancing the automotive industry from the U.S. economic perspective. Generative AI is the latest frontier in artificial intelligence software development, where algorithmic generation can be achieved across various types of content: text, images, audio, and video. The generative AI in the Automotive market at the global level had witnessed boisterous growth and commanded a value of approximately $389.47 million by 2023. The analysis exposed that North American regions are dominating the market, which was attributed to high technological infrastructure, along with partnerships among automotive companies with research institutes and universities to foster AI innovations. Application analysis exposed that Advanced Driver Assistance Systems (ADAS) had the biggest market share, indicating a strong focus on developing and implementing Generative AI technologies to enhance driver safety and vehicle autonomy. Followed by, Connected Car Technologies, representing growing efforts towards implementing generative AI solutions that will improve vehicle connectivity, infotainment, and user experience. The impact of Generative AI and Machine Learning can be witnessed in terms of virtual prototyping, generative automotive designs, consolidation with the CAD system, supply chain optimization, Sensor Fusion and Perception Enhancement as well as automotive manufacturing process optimization.

Deep Learning Approaches for Hate Speech Detection

The main goals of this project are to develop reliable hate speech identification models that can recognize derogatory terminology, prejudiced attitudes, and damaging stereotypes on a variety of internet platforms. To help the models train and generalize efficiently, the study focuses on using big datasets with a variety of content types, including both hate speech and non-hate speech. The findings of this study suggest that machine learning has the potential to mitigate the negative consequences of hate speech by using automated filtering and flagging tools. The study also highlights the need for continued research and development to improve the accuracy, uniformity, and transparency of hate speech detection systems, and ultimately to foster a safer online environment to encourage all people.

From field to feed: Norwegian Football Players’ usage and self-presentation on Instagram throughout the UEFA Women's EURO 2022 Championship

The UEFA Women's EURO 2022 and the FIFA 2023 Women's World Cup set new attendance records, thereby reflecting the growing popularity of women's football. In this context, social media platforms have become critical tools for women athletes offering opportunities for sponsorship and activism. This study focuses on the Instagram activity of five individual players from the Norwegian national team during the UEFA Women's EURO 2022. It examines the following research questions. (a) What type of content did the players post throughout the UEFA Women's EURO 2022 Championship period? (b) How did content type and posting frequency vary throughout the championship period? (c) How did audiences engage with the various types of content posted on Instagram throughout the championship period? Methodologically, this article is based on a quantitative content analysis of posts, stories and comments shared by the players during the championship period. Our findings reveal a diverse content sharing pattern that is indicative of strategic impression management. Players predominantly shared sports-related content to enhance their profiles as committed athletes; a tactic aligning with audience expectations. Their posting frequency peaked around matchdays, reduced post-loss and indicated a strategic approach to maintain a positive online presence. Post-elimination, players diversified their content by incorporating business and personal aspects, thereby indicating a shift to a more multifaceted self-presentation. Audience engagement was largely positive, with interactions showing support and encouragement, which reinforced the effectiveness of sports-focused content in garnering positive reactions. However, the posts relating to LGBTIQA+ activism prompted a notable amount of negative feedback, which highlighted the challenges and potential backlash when engaging in social media activism.

Development of a multilingual online course with the language support for teaching physics in English

<span lang="EN-US">Distance education offers an alternative to traditional teaching methods, particularly online courses. During the pandemic, the role of information and communication technologies in the field of education has increased and is used to organize both synchronous and asynchronous learning. However, not all information and communication technology (ICT) tools and platforms provide the necessary functionality for developing online courses in the direction of language integration. This article discusses the issues of creating a multilingual online course of physics in English with the necessary language support and additional functions for the development of students’ academic language. The study used such methods as a survey, focus groups, analytical and descriptive methods, and empirical research. The key features of the developed course are the use of various types of content and methods for assessing both subject and language knowledge and skills. The presented survey results, data on summative assessment (SE), and trial testing show the effectiveness of the developed course modules. The conclusions and results described in the article will be useful to teachers of natural sciences in general education and private schools, especially those using international programs, deputy directors, as well as teachers who teach their subjects in a second or third language.</span>

ANALISIS BUKTI DIGITAL PADA APLIKASI DISCORD DESKTOP DENGAN MENGGUNAKAN FRAMEWORK DFRWS

A Currently, various communication platforms are available, and one of them is Discord. Discord is utilized by users to interact and share various types of content. However, Discord is often implicated in the distribution of inappropriate content that goes against Discord regulations. This can lead to cybercrime cases such as Child Sexual Abuse Material (CSAM). The main challenge faced is the recovery of digitally deleted data through these communication platforms. The objective of this research is to analyze digital evidence in the form of deleted text messages, images, and documents in the chat rooms of the desktop-based Discord application. The research method employed is the Live Forensic Technique, applying the DFRWS (Digital Forensics Research Workshop) method. The digital forensic analysis process is conducted using the digital forensic tool Magnet Axiom. The research results indicate that the accuracy of digital evidence analysis using Magnet Axiom reaches 94.11%. A total of 16 digital evidence items were successfully recovered out of the total 17 items available

The Influence of Content Marketing on the Loyalty of Valorant Game Users at X-Gate

In 2020, there is a new game called Valorant coming to Indonesia. Valorant is a first person shooter game that focuses on strategy, cooperation and player accuracy. Valorant Upload videos/images on their Twitter to introduce Valorant. Until now, the Valorant social media team continues to post content on their Twitter to attract more people. There are various types of content produced. From this variety of content, people are starting to get to know Valorant and try the game. Some of those who have tried still play Valorant to this day. So researchers want to know the influence of content marketing on the loyalty of Valorant game users using content marketing and loyalty theory and using the descriptive analysis method by deploying Google forms as a data collection tool for Valorant game users at X-gate Surabaya.

The Development of Educational YouTube Videos-Based Learning Media: Learners’ Need Analysis

This study aims to analyze the needs of students in learning in the speaking for general communication course in order to develop Educational YouTube Videos-based learning media. The integration of YouTube in learning speaking can be a valid resource for teaching lecturers to improve their lessons with various types of content that are interesting and useful and in accordance with the material being taught, and this integration is also expected to motivate students to learn. This study uses a qualitative research design by distributing questionnaires and interviews to find out the problems that occur in the learning process and what students want in improving their speaking skills. As a result, students still experience problems in speaking ability, but the biggest problem students’ face is related to fluency. With regard to the problem of fluency, the results of the interviews show that the desired way of learning is that students want to be more able to practice speaking by having lots of dialogue and direct interaction, displaying unique videos related to the material being taught so that it is not boring and can be understood easily. Easy, using YouTube videos to get used to listening to native speakers speak more. Learning will be more interesting if film media is added, such as identifying clips from a film.

On a Possibility of Copyright Protection of Objects Generated by Artificial Intelligence Systems

In recent years, many computer programs have appeared that operate on the AI basis, which are designed to generate various types of content and are distributed to a wide range of users. Therefore, more and more AI objects, similar in their characteristics to protected results of intellectual activity, are being distributed on the Internet. The fact that such objects are generated automatically by a computer program does not allow them to be subject to legal protection in accordance with Part 4 of the Russian Civil Code due to the lack of authors. At the same time, significant funds are being invested in the creation of new AI systems, which determines the need to protect the interests of persons involved in the AI creation and use. At the same time, there is no consensus in the scientific literature about the possibility or impossibility of protecting such objects, as well as the principles and contours of their legal protection. In this regard, the author conducted a study in order to formulate the basic principles of legal protection of objects generated by AI systems. To achieve this goal, the author has formulated the following tasks: to summarize existing approaches to solving the issue of legal protection of AI objects, to identify their shortcomings, to determine the presence or absence of elements of human creativity in working with artificial intelligence systems, to determine the optimal regime for the protection of AI objects. The study was conducted using general scientific methods of cognition, as well as methods of literal interpretation of legal norms, a predictive method and a method of legal modeling. The author comes to the conclusion that there are signs of creativity in human activities when working with AI, which makes it possible to recognize users of such systems as the authors of the objects they generate in accordance with the presumption of authorship enshrined in legislation.

Rumor Source Detection in Subgraphs: An ML Approach

Social networking sites offer a vast platform for sharing various types of content, such as information, photos, videos, and audio clips. However, the credibility of the information shared on these sites is a significant concern since there is no prior verification process as the information spreads across the networks. This increases the chances of disseminating false or misleading information, often called rumors. The spread of rumors in today's information environment creates severe problems for the credibility of information and public confidence. The quick spread of rumors, frequently conveyed via social media and other online platforms, can affect public opinion and potentially have real-world repercussions. Maintaining the integrity of information ecosystems and averting the potentially damaging impacts of disinformation require detecting and mitigating rumors. In today's social media and online communication age, it is crucial to identify rumors to prevent their spread and mitigate their potential negative impact. In this study, our primary goal is to discover and identify individual sources of rumors. This work addresses two aspects of rumor management: firstly, identifying the difference between rumors and facts, and secondly, tracking the source of the rumor. In conjunction with the attributes, state-of-the-art methods such as SVM, AdaBoost, Random Forest, Logistic Regression, and Graph Convolutional Networks (GCN) are used to accomplish these goals. This approach contributes to the broader goal of combating disinformation and preserving the Accuracy of information.

Competitive Advantagein Increasing Income in Indonesia Small and Medium-Sized Businesses Increasing

Purpose: This research aims to look at important factors in increasing competitive advantage. SMEs need a competitive advantage to compete in the era of the industrial revolution 4.0, where industries have touched cyberspace, resulting in human, machine, and data connectivity, all of which are vying to survive and be the best.
 
 Theoretical framework: The goal of strategic thinking and the primary focus in achieving business success is competitive advantage (Hunitie, 2018). According to (Greenhow & Galvin, 2020), social media is a collection of mobile or web-based technologies that allow people to interact with and share various types of content. Innovation is a level of change in the development of new products and the introduction of new products into the market (Habib, Kristiansen, Rana, & Ritala, 2020). Market orientation, in general, refers to the fundamental orientation that governs a company's relationship with its market, and more specifically with its customers (Bamfo & Kraa, 2019).
 
 Method:This study uses an explanatory research approach to examine the influence of social media, innovation, and market orientation on competitive advantage. The population of this research is SMEs in East Java Province, Indonesia. Quantitative data from SMEs was obtained from 294 respondents who provided responses in the form of a questionnaire. By using Smart PLS, social media, innovation and market orientation that can help SMEs gain a competitive advantage.
 
 Result and conclusion: The results of this research are that SMEs must always utilize social media to carry out promotions in an effort to gain an identity of competitive advantage so that they are easily recognized by the market, then carry out product innovation so that the products offered are not easily imitated by competitors. so that it becomes a competitive advantage, and is market oriented to maintain competitive advantage for business sustainability. Thus, it can be concluded that social media, innovation and market orientation can increase the competitive advantage of SMEs.
 
 Implication of research: SMEs must have management capabilities and company information technology through social media to promote in an effort to gain an identity of competitive advantage so that they are easily recognized by the market. Innovations carried out by SME entrepreneurs in effective and efficient product development are able to produce products that are difficult for competitors to imitate, thus creating a competitive advantage. It is important for SME entrepreneurs to understand market orientation so they are able to understand consumer needs and competitors' abilities in order to gain a competitive advantage in winning business competition.
 
 Originality/value: The novelty of this research is the formation of a theoretical model of social media, innovation and market orientation in increasing the competitive advantage of SMEs. SME entrepreneurs must have management and company information technology capabilities through social media, innovate in effective and efficient product development, and understand market orientation in order to gain a competitive advantage in winning business competition.

Regulating the use of generative AI in academic research and publications

Generative artificial intelligence (GenAI) is a category of AI technology capable of producing various types of content, including text, images, audio, video, 3D models, simulations and synthetic data. Although it has been present for some time, it has been popularised in the recent months due to text and image GenAI tools, such as ChatGPT, Google Bard, LaMDA, BlenderBot, DALL-E, Midjourney, Stable Diffusion, some of which have already received new and upgraded versions.
 The main issue for the scholarly research and publications relates to the fact that because of the technology breakthrough the AI tools, based on machine learning models and usually fed with large volumes of data, no longer only assist researchers in recognising patterns and predicting, but also in generating content. This raises questions such as: On a general level, is it acceptable to use the generated content in academic publications? Does the use of such tools in research and publications violate academic honesty? Is a researcher violating another person’s intellectual property right when using these tools?
 This paper seeks to answer these questions with the aim of suggesting whether and to what extent there is a need for GenAI to be regulated within the academic institutions or beyond. Additionaly, the paper is aimed at investigating the models for such regulation as there are already some attempts to do so at various academic institutions in the world and many such processes are ongoing.

Content Influence on Brand Loyalty

This research paper explores that, in today's digital age, content has become a powerful tool when it comes to building brand loyalty. The purpose of this research paper is to explore the influence of content on brand loyalty. Specifically, this paper will examine the various types of content (e.g., social media, blogs, videos, etc.) and how they influence brand loyalty. Additionally, this paper will analyse the role of customer engagement and the impact on brand loyalty. Through primary & secondary data that we have collected, this research aims to provide a deeper understanding of how content can be used to enhance brand loyalty and drive customer engagement. Ultimately, this research will contribute to the existing body of knowledge in the field of marketing and provide valuable insights for marketers to leverage content to build a loyal customer base. Keywords: Loyalty, Influence, Insights, Marketing, Enhance, Analyse.

Generative AI in Medicine and Healthcare: Promises, Opportunities and Challenges

Generative AI (artificial intelligence) refers to algorithms and models, such as OpenAI’s ChatGPT, that can be prompted to generate various types of content. In this narrative review, we present a selection of representative examples of generative AI applications in medicine and healthcare. We then briefly discuss some associated issues, such as trust, veracity, clinical safety and reliability, privacy, copyrights, ownership, and opportunities, e.g., AI-driven conversational user interfaces for friendlier human-computer interaction. We conclude that generative AI will play an increasingly important role in medicine and healthcare as it further evolves and gets better tailored to the unique settings and requirements of the medical domain and as the laws, policies and regulatory frameworks surrounding its use start taking shape.

The Effect of the Windah Basudara Youtube Channel on Fulfilling Game Information Needs

Social media is currently widely used by internet users in Indonesia as a means to find information needs. The social media platform that is most in demand by the public today is Youtube. Youtube provides various types of content that are presented independently by content creators or referred to as YouTubers. One of the content on Youtube is entertainment content in the form of game content. Apart from being entertainment content, game content can also make many Youtube users obtain information about games. Currently, there are many Youtubers who create this content, one of the big Youtuber names that is well known to the public is Windah Basudara. This study aims to determine whether Windah Basudara's Youtube channel has an effect on fulfilling game information needs. The research method used in this research is quantitative descriptive, the sample used is Youtube subscribers Windah Basudara as many as 100 respondents by carrying out a normality test, simple linear regression analysis, correlation coefficient test, coefficient of determination test, and hypothesis testing. This study found that Windah Basudara's Youtube channel variable has a positive and significant influence on fulfilling game information needs. The Windah Basudara Youtube Channel has an influence on fulfilling the game information needs of its subscribers with a percentage of 78.7%, and the remaining 21.3% is influenced by other factors not examined in this study.

Analysis of Language Defense in Youtube Content Boy William National Examination (UNBW)

Politeness is basically the speaker's way of communicating so that the speech partner does not feel pressured, cornered, or offended. Communication is a process that occurs in social life. At this time, almost all Indonesian people use social media and the biggest user is YouTube social media. Youtube is a social media that is watched by all people and all ages. Youtube contains various types of content, one of which is Boy William's YouTube channel entitled Boy William's National Examination (UNBW). This series discusses Youtube content for Boy William's National Examination (UNBW) with actresses Ayu Ting-Ting and Anwar. Politeness in language on Youtube social media functions to fence off Youtube users as polite loudspeakers. Conversations during UNBW will be the object of language politeness analysis with a review based on Leech's theory. The politeness theory put forward by Leech (1983: 132) is known as maxims which describe the realization of linguistic politeness, and further elaborates the linguistic politeness strategy into 6 maxims namely: 1) tact maxim, 2) generosity maxim , 3) approbation maxim, 4) modesty maxim, 5) agreement maxim, and 6) sympathy maxim. After reviewing the data, I pointed out that the conversation on UNBW's Youtube content for the Ayu vs Anwar series contains language that is impolite for other people to watch but is still considered polite if this conversation is only for Boy William, Ayu Ting-Ting, and just Anwar.

Lapses of the Heart: Frequency and Subjective Salience of Impressions Reported by Patients after Cardiac Arrest

After cardiac arrest (CA), some patients report impressions with highly realistic features, often referred to as near-death experience (NDE). The frequency of such episodes seems to be variable, with various types of content. In a prospective study, we subjected 126 CA cases treated at the Department of Emergency Medicine of the Medical University of Vienna under carefully controlled conditions to a structured interview. We included all patients admitted due to CA, whose communicative abilities were restored and who agreed to participate in the study. The questionnaire inquired as to living conditions, attitudes towards issues of life and death, and last recollections before and first impressions after the CA. The majority of the subjects (91 = 76%) replied to inquiries concerning impressions during CA with "nothing" or "blackout", but 20 (16%) gave a detailed account. A German version of the Greyson questionnaire specifically addressing NDE phenomena (included towards the end of the interview) resulted in ≥7 points in five patients (4%). Three patients reported a meeting with deceased relatives (one with 6 Greyson points), one an out-of-body episode, and one having been sucked into a colorful tunnel. Eleven of these twenty cases had their cardiopulmonary resuscitation (CPR) started within the first min of CA, a higher fraction than cases without experience. Reported experience after CA was of high significance for the patients; many of them changed their point of view on issues of life and death.