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Journal articles on the topic 'Adaptation of the content internet user analysis of user behavior'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Su, Jiayi. "Content Ecosystem Construction of Soul App: Analysis based on User Behavior." Highlights in Business, Economics and Management 46 (December 24, 2024): 28–33. https://doi.org/10.54097/ea5b2s66.

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In the era of rapid development of mobile Internet, Soul App, as a new social star focusing on soul communication and interest matching, its content ecosystem construction is crucial to consolidate its market position and enhance user experience. This study uses the SWOT analysis framework to assess the strengths, weaknesses, opportunities, and threats that Soul App faces in building a content ecosystem based on user behavior data. The study shows that Soul App demonstrates strong momentum in terms of user size, usage hours, and activity. However, Soul App still has potential for improvement i

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Zhou, Jinge. "Research on the Influence of social media on Internet Consumption Behavior from the Perspective of Consumer Culture." BCP Business & Management 50 (September 22, 2023): 141–46. http://dx.doi.org/10.54691/bcpbm.v50i.5581.

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How knowledge sharing in the discussed community influences users' purchasing decisions. And then put forward the management strategy to improve the user's usage behavior in the community. This topic will focus on the "TikTok" social media. Through empirical analysis, this paper explores how business users can influence customer purchasing behavior through information sharing in the social media environment. The results show that the factors such as user interaction mode, user perceived risk and user occupation level have positive effects on user purchase decision. The knowledge sharing proces

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Li, Zhen, Shuo Xu, and Tianyu Wang. "A Method of Interest Degree Mining Based on Behavior Data Analysis." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 09 (2019): 2059030. http://dx.doi.org/10.1142/s0218001420590302.

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Based on big data, this paper starts from the behavior data of users on social media, and studies and explores the core issues of user modeling under personalized services. Focusing on the goal of user interest modeling, this paper proposes corresponding improvement measures for the existing interest model, which has great difference in interest description among different users and it is difficult to find the user interest change in time. For the above problems, this paper takes user-generated content and user behavior information as the analysis object, and uses natural language processing,

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Xue, Fei. "Revolutionizing the cultural industry: The transformative power of data processing algorithms." Applied and Computational Engineering 57, no. 1 (2024): 172–77. http://dx.doi.org/10.54254/2755-2721/57/20241329.

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This paper provides a comprehensive analysis of the impact of data processing algorithms on the cultural industry, focusing on user behavior analysis, dynamic content adaptation, content discovery, efficient distribution networks, and driving creative innovation. Through the application of sophisticated machine learning models and quantitative analysis, this study demonstrates the transformative potential of algorithms in enhancing user engagement, optimizing distribution channels, and fostering creative innovation. By analyzing vast datasets from leading cultural content platforms, social med

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Li, J. W., W. D. Chen, Y. Ma, N. Yu, X. Li, and J. W. Jiang. "RESEARCH ON BEHAVIORAL MOTIVATION INFERENCE METHOD FOR GEOGRAPHICAL SPATIOTEMPORAL LARGE DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 7, 2020): 725–29. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-725-2020.

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Abstract. Along with the rapid development of Internet technology, GNSS technology and mobile terminals, a large amount of information including geographical location and time attributes has been generated. Faced with large and complex Internet geospatial data, how to quickly and accurately extract valuable reference information becomes an urgent problem to be solved. And the user's demand for personalized information of recommendation information is getting stronger and stronger, and researching efficient and accurate personalized recommendation system has good application value. In this pape

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Wu, Hui Juan, Bao Xiang Xu, and Qing Song Tang. "Research of Personalized Information Recommendation Theory Model Based Web 3.0." Advanced Materials Research 679 (April 2013): 137–42. http://dx.doi.org/10.4028/www.scientific.net/amr.679.137.

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In Web 3.0 times, Internet and Electronic Commerce develop rapidly, it is necessary to solve the problem which is how to recommend the personalized information to the user when the user faces numerous of information. But now, it is only studied from three aspects: collaborative filtering, content analysis, associated rules, which belong to the two sides based on the user and the goods. All of them dig the information from the individual records of history, or the user who similar to the record of history. After analyzing the content of web 3.0, this paper point out how to mining information fr

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Ma, Zirui, and Bin Gu. "The influence of firm-Generated video on user-Generated video: Evidence from China." International Journal of Engineering Business Management 14 (January 2022): 184797902211186. http://dx.doi.org/10.1177/18479790221118628.

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We examined the impact of firm-generated content on firm-related user-generated content. Researches have proven that firm-related user-generated content impacts firm revenue. Therefore, it is necessary to determine what factors stimulate the creation of firm-related user-generated content. Creating user-generated videos related to companies (e.g. E-sports) on Chinese online video platforms often includes the use of firm-generated videos as material. It may suggest that firm-generated content may play an essential role in influencing Internet users to create firm-related user-generated content.

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Ghose, Anindya, and Sang Pil Han. "An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet." Management Science 57, no. 9 (2011): 1671–91. http://dx.doi.org/10.1287/mnsc.1110.1350.

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Fedorko, Igor, Radovan Bačik, and Beata Gavurova. "Analysis of selected technology acceptance model constructs and their impact on user behavior." Innovative Marketing 18, no. 3 (2022): 72–83. http://dx.doi.org/10.21511/im.18(3).2022.07.

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Nowadays, when the Internet is a regular part of people’s life in competitive conditions, it is essential to emphasize user feelings about the products, especially in the context of web pages. The study aims to clarify the significance of selected Technology Acceptance Model elements concerning user behavior in the web area. The study applied an exploratory method using an anonymous questionnaire in electronic form (Likert scale). This study’s respondents were website users, visitors, or internet users within the EU. Adequacy of the research sample was measured using Cronbach’s alpha and Kaise

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Rohit Sharma. "Data-Driven Personalization : Revolutionizing User Experience." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 5 (2024): 868–77. http://dx.doi.org/10.32628/cseit241051075.

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Data-driven personalization has emerged as a transformative approach in digital user experience design, leveraging advanced analytics and machine learning to tailor content and interfaces to individual users. This article explores five key aspects of data-driven personalization: user behavior analysis, segmentation and targeting, machine learning algorithms, real-time adaptation, and privacy and ethical considerations. It examines the significant impact of personalization on business outcomes, including increased revenue and customer engagement, while also addressing implementation challenges,

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Inozemtseva, A. V., A. I. Kocheeva, A. I. Pestunov, E. V. Chernikova, and L. Yu Shadrina. "Analysis of Foreign Versions of the Websites of Russian Higher Educational Institutions as a Tool of Applicants Attraction." Vestnik NSUEM, no. 3 (October 9, 2021): 37–49. http://dx.doi.org/10.34020/2073-6495-2021-3-037-049.

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Today all higher educational institutions use Internet marketing technologies to attract applicants. Websites serve as a starting point of this work. They become particularly topical in the context of the «Export of education» project aimed at the attraction of foreign applicants to national higher educational institutions. The study analyzes foreign versions of the websites of Russian higher educational institutions by several parameters: technical parameters, content structure, user friendliness and user behavior on the website. 34 websites formed the sample. The analysis of user behavior at

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Jesselyn, Eunike, and Wulan Purnama Sari. "Analisis Regresi User Generated Content terhadap Brand Image Produk Skintific di Aplikasi TikTok Untuk Generasi Z." Prologia 8, no. 1 (2024): 184–93. http://dx.doi.org/10.24912/pr.v8i1.27604.

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In the dissemination of information in this highly advanced era, there exists a type of marketing content known as User Generated Content (UGC). This content comprises reviews or evaluations from internet users who have tested a product or service and shared their experiences through social media. Due to the perception that these reviews are neutral and trustworthy, the researcher conducted this study to understand the influence of User Generated Content on the Brand Image of Skintific products on the TikTok application. The process of forming a brand image is essentially similar to the percep

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Komarov, Vladimir V. "Development of a probable psychological profile for social network user." Psychological-Pedagogical Journal GAUDEAMUS, no. 50 (2021): 45–54. http://dx.doi.org/10.20310/1810-231x-2021-20-4(50)-45-54.

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We present an overview of the current state of the issue of developing a psychological profile of a social network user, including methodological and applied aspects. The deviant behavior issue among students on the Internet and its prevention in the educational environment is relevant. The author's psychological technology to build a probable psychological profile of a social network user is presented. According to the method of analyzing the content of the user's Internet page, the method of profiling corresponds to the method of analyzing documents, which is used, in particular, in the comp

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Степченко, С. П., Ю. А. Галандарчук, Е. Д. Соловьева, Д. М. Качкан, and Е. В. Смолина. "Socio-economic analysis of the use of modern Internet technologies in interactive marketing." Экономика и предпринимательство, no. 4(129) (May 31, 2021): 1141–45. http://dx.doi.org/10.34925/eip.2021.129.4.225.

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Авторы статьи считают что мы живем в обществе, в котором компьютеры и Интернет часто используются для доступа к различным типам информации. Сегодня компьютеров недостаточно для выполнения сложных задач в нужное время и хранения больших объемов информации. С развитием интернета количество информации возросло не раз, поэтому можно говорить о таком понятии, как интерактивный маркетинг. В широком смысле означает процесс адаптации веб-сайтов в соответствии с конкретным профилем пользователя для достижения более эффективного просмотра веб-страниц. При просмотре веб-страниц приписывается способность

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CIRILO, CARLOS E., ANTONIO F. PRADO, WANDERLEY L. SOUZA, LUCIANA A. M. ZAINA, and JOSE F. RODRIGUES. "TOWARDS A HYBRID APPROACH FOR ADAPTING WEB GRAPHICAL USER INTERFACES TO HETEROGENEOUS DEVICES USING CONTEXT." International Journal of Software Engineering and Knowledge Engineering 22, no. 06 (2012): 769–800. http://dx.doi.org/10.1142/s0218194012400128.

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Ubiquitous Computing promises seamless access to a wide range of applications and Internet-based services from anywhere, at anytime, and using any device. In this scenario, new challenges for the practice of software development arise: Applications and services must keep a coherent behavior, a proper appearance, and must adapt to a plenty of contextual usage requirements and hardware aspects. Especially, due to its interactive nature, the interface content of Web applications must adapt to a large diversity of devices and contexts. In order to overcome such obstacles, this work introduces an i

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Hui, Soon Eu, Nur’azah Abdul Manaf, and Mohd Naz'ri Mahrin. "UTILIZING INTERACTIVE VECTOR GRAPHICS TO ENHANCE USER EXPERIENCE IN ENGAGING WITH COMPLEX USER INTERFACE DESIGN." ASEAN Engineering Journal 12, no. 4 (2022): 1–7. http://dx.doi.org/10.11113/aej.v12.17689.

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In the shift towards the Fourth Industrial Revolution (IR4.0), there are a multitude of user interventions that are heavily dependent on screen-based content which are highly correlated with the Internet of Things (IOT). This has raised certain usability issues, primarily when utilizing pixel graphics in dealing with complex User Interface (UI) design on devices with smaller screen size. This paper addresses the delay in timing, as the main part of the usability issue, which is caused by the increased of user interaction in completing task given. This paper studies the conversion rate outcomes

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Song, Jiayue. "Analysis on recommendation systems based on ML and DL approaches." Applied and Computational Engineering 88, no. 1 (2024): 155–62. http://dx.doi.org/10.54254/2755-2721/88/20241664.

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The explosive growth of the Internet has led to an unprecedented increase in available information, creating a major challenge in identifying content that aligns with user interests. Recommendation systems (RS) address this challenge by providing personalized content recommendations based on user behavior and preferences. This article systematically reviews the evolution of recommendation systems with a focus on the methodologies of machine learning (ML) and deep learning (DL). It highlights core technologies in ML-based RS, such as content-based recommendation, collaborative filtering (CF), a

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Sánchez Cruz, Jennifer Lorena. "Machine learning-based predictive models for digital behavioral analysis." Data and Metadata 4 (June 10, 2025): 994. https://doi.org/10.56294/dm2025994.

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Introduction: The rise of digital technology use in Ecuador has produced large volumes of data on user behavior. In this context, machine learning models provide an effective way to analyze and predict digital behavior patterns, supporting informed decision-making in fields such as marketing, education, and public policy.Methods: A quantitative, non-experimental, cross-sectional methodology was used. A Random Forest model was applied to a simulated dataset based on parameters from the National Institute of Statistics and Censuses (INEC). The analysis focused on variables such as age, internet

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Zhang, Zhuoye, and Sixue He. "Research on the Influence of Marketing Information Quality on Consumer Behavior — Taking Wechat Marketing as an Example." MATEC Web of Conferences 359 (2022): 01023. http://dx.doi.org/10.1051/matecconf/202235901023.

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With the continuous prosperity and development of Internet technology, the amount of information generated is increasing day by day, which inevitably leads to a series of problems such as marketing information surplus and user perception disorder. How to improve the quality of information and reduce the information disturbance to users has become an urgent problem for social media. This paper takes wechat marketing as an example, through literature research, questionnaire collection, SPSS statistical analysis and Amos structural equation fitting, based on previous research and the development

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Liu, Haozhe. "A Digital Marketing Strategy Analysis and Application in the New Media Era: A Case Study of TikTok." Advances in Economics, Management and Political Sciences 189, no. 1 (2025): 168–76. https://doi.org/10.54254/2754-1169/2025.bl23891.

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With the rapid development of mobile internet and short videos, TikTok has rapidly risen to become one of the most influential new media platforms in the world with its innovative content distribution algorithm and social communication model, which had become the most successful app in recent years This study takes TikTok as a case study and analyzes its digital marketing strategy using Porter's Five Forces model, AARRR model, Yip framework and relevant user behavior data. Based on the analysis of TikTok's industry competitive environment, user consumption trends and technology drivers, it pro

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Park, Sungbum, Sang-ug Kang, and Hangjung Zo. "Analysis of influencing factors on the IPTV subscription." Information Technology & People 29, no. 2 (2016): 419–43. http://dx.doi.org/10.1108/itp-05-2014-0100.

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Purpose – The purpose of this paper is to examine how user-perceived video quality, measured by computer assisted web survey, interacts with content richness (CR) and interactivity (IA). It also analyzes how those internet protocol television (IPTV) idiosyncrasies impacts audience perceptions (perceived usefulness (PU) and perceived resistance (PR)) and actual subscriptions. Design/methodology/approach – A computer assisted web survey was administered in Korea to collect data. A structural equation model and Z-test analyses were conducted to address the research hypotheses. Findings – User-per

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Sharma, Ritesh Manoj. "Active Chat Monitoring and Suspicious Chat Detection Over Internet." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32752.

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In the digital age, the proliferation of online communication platforms has facilitated unprecedented levels of connectivity and interaction. However, this interconnectedness has also introduced new challenges, particularly in ensuring the safety and security of users in online environments. One critical area of concern is the monitoring and detection of suspicious activities within chat platforms, where malicious actors may engage in harmful behaviors such as cyberbullying, harassment, or illicit activities. This research paper focuses on the development and implementation of active chat moni

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Левченко, А. Н., Р. А. Хромин, Н. И. Татаринцев, Д. В. Чайко, and А. А. Розниченко. "BIM modeling in construction taking into account data analysis and user identification problems." Экономика и предпринимательство, no. 10(123) (November 15, 2020): 681–85. http://dx.doi.org/10.34925/eip.2020.123.10.129.

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Моделирование строительства-это задача создания веб-систем, которые настраивают свои функции (просмотр, контент, плакаты и другие рекламные предложения) для пользователя на основе собранной и проанализированной информации о настройках пользователя. Чтобы проанализировать информацию пользователя, они, вероятно, будут использовать информацию, которая будет объявлена, но они полагаются на постоянные закономерности своего "поведения" в интернете и на поиск шаблонов в поведении пользователей. Эта задача относится к предыдущей, но ее целью является не адаптация ресурса к индивидуальным предпочтениям

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Tikhoniuk, A. A. "Artificial Intelligence and mass media: negative aspects of content personalization algorithms." Communicology 12, no. 3 (2024): 43–60. http://dx.doi.org/10.21453/2311-3065-2024-12-3-43-60.

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The development of artificial intelligence (AI) technologies and machine learning algorithms is increasingly influencing various aspects of social life, gradually finding its place not only in social media but also in journalism (Newman). They are actively being integrated into various fields of mass media, enabling the automation of several processes within media companies, thereby optimizing the work of journalists, editors, and media managers. This topic represents a pertinent issue in the modern information society (Túñez López et al.). AI and its machine learning capabilities have become

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Sindhu Prabhakaran. "Leveraging Artificial Intelligence for dynamic user experience personalization: A multi-domain analysis." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 1402–9. https://doi.org/10.30574/wjaets.2025.15.3.1057.

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This article examines the transformative role of artificial intelligence in creating dynamic, personalized user experiences across multiple domains. It explores how AI has evolved from rudimentary rules-based approaches to sophisticated systems capable of real-time adaptation based on user behavior, contextual factors, and predictive modeling. Through case studies spanning e-commerce, financial technology, and media production, the article illuminates the architectural frameworks, methodological approaches, and empirical outcomes of advanced personalization systems. A leading e-commerce platfo

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Afees Olanrewaju Akinade, Peter Adeyemo Adepoju, Adebimpe Bolatito Ige, and Adeoye Idowu Afolabi. "Internet of Things (IoT) in U.S. Smart Homes: A Review: Assessing the advancements in home automation, security implications, and user adaptability." Open Access Research Journal of Multidisciplinary Studies 5, no. 2 (2023): 172–90. https://doi.org/10.53022/oarjms.2023.5.2.0020.

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This study presents a comprehensive review of the advancements, implications, and user adaptability of Internet of Things (IoT) technologies in U.S. smart homes. The main objectives were to assess the evolution of smart homes, analyze IoT integration, evaluate security implications, explore user adoption and behavior, and forecast future trends. Employing a systematic literature review and content analysis, the study scrutinized peer-reviewed articles, conference papers, and industry reports from 2010 to 2023. The methodology involved a meticulous selection process based on relevance, quality,

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Fedushko, Solomiia, Taras Ustyianovych, Yuriy Syerov, and Tomas Peracek. "User-Engagement Score and SLIs/SLOs/SLAs Measurements Correlation of E-Business Projects Through Big Data Analysis." Applied Sciences 10, no. 24 (2020): 9112. http://dx.doi.org/10.3390/app10249112.

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The Covid-19 crisis lockdown caused rapid transformation to remote working/learning modes and the need for e-commerce-, web-education-related projects development, and maintenance. However, an increase in internet traffic has a direct impact on infrastructure and software performance. We study the problem of accurate and quick web-project infrastructure issues/bottleneck/overload identification. The research aims to achieve and ensure the reliability and availability of a commerce/educational web project by providing system observability and Site Reliability Engineering (SRE) methods. In this

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Huang, Tingxian. "Advertising Breaks the Privacy of WeChat Circle of Friends Analysis." Communications in Humanities Research 52, no. 1 (2024): 9–17. https://doi.org/10.54254/2753-7064/2024.17862.

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With the rapid development of Internet technology and the popularity of smart phones, social media has become an indispensable part of People's Daily life. WeChat, one of the largest social media platforms in China, has gained popularity for its moments function due to its high degree of privacy and user viscosity. However, with the rise of the social media advertising market, the frequent appearance of advertising messages in WeChat moments not only disrupts the social experience of users, but also may cause users to worry about privacy leakage. This study aims to deeply analyze how advertise

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Cheng, Yinjie. "The Motivation and Prospects of the TikTok Refugees Flocking to Xiaohongshu Incident--Based on the Perspective of Intercultural Communication Between China and the United States." Lecture Notes in Education Psychology and Public Media 98, no. 1 (2025): 29–38. https://doi.org/10.54254/2753-7048/2025.ht24136.

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This study explores the phenomenon of "TikTok refugees" migrating to Xiaohongshu in early 2025, examining its implications within the broader context of Sino-US digital geopolitics and cross-cultural communication. The analysis indicates that the regulatory actions taken by the United States government against TikTok are a strategic measure aimed at maintaining its global dominance in the digital arena. The content production mechanism and political orientation of Xiaohongshu have positioned it as the primary alternative platform in this digital ecosystem restructuring. This migration phenomen

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Fedushko, Solomia. "INTELLECTUAL ANALYSIS OF WEB CONTENT FOR THE FORMATION OF SOCIAL AND DIGITAL IDENTITY OF WEB USERS." Information and communication technologies, electronic engineering 3, no. 1 (2023): 32–46. http://dx.doi.org/10.23939/ictee2023.01.032.

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The article discusses the growing need to analyze and understand web user behavior due to the unprecedented amount of digital content being generated and distributed on the Internet. Web content intelligence is presented as an effective way to explore and extract valuable information from online content, including websites, social media platforms, and other digital sources, to better understand web users' interests, preferences, and behaviors. The ability to identify web users based on their online behavior is important for industries such as marketing, psychology, and law enforcement. However

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Francisco, Moo-Mena, Robles-Sandoval Sofía, González-Magaña Karina, and Rodríguez-Adame Oliver. "Towards bots detection by analyzing the behavior of user data on Twitter." International Journal of Computer Science Issues 16, no. 1 (2019): 21–29. https://doi.org/10.5281/zenodo.2588241.

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Currently, social networks play an important role as a means of communication about various topics. In this way, this medium represents a very important source of data to know the opinions of its users on very diverse topics. However, the opinions expressed in this medium are exposed to the influence of specialized programs called bots. These bots are activated with the idea of influencing positively or negatively towards some point of view of the issues under discussion. When implemented through computer platforms accessible from any medium with Internet access, it is possible to access such

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Alejandrino, Arielle, Alfierie Baldivas, Antonio Etrata, Naomi Grace Hipolito, and Chelsea Ayeesha Mercado. "User Experience (UX) Components of Mobile Wallets Influencing the Post-adoption Behavior of Millennials in the National Capital Region (NCR) of the Philippines." Journal of Interdisciplinary Perspectives 2, no. 6 (2024): 181–87. https://doi.org/10.5281/zenodo.11107176.

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<strong>Abstract. </strong>The rapid growth and development of the Internet have changed how people use technology and commerce. Although mobile wallets have become increasingly popular, there is still a lack of research regarding the future viability of the market's adoption of mobile wallets in light of potential risks and emerging alternative concepts. With this, this research investigated how millennials' post-adoption behavior is influenced by the user experience (UX) components in mobile wallet applications, focusing on Filipino millennials. This quantitative study used a descriptive cor

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Hoffman, Donna L., Thomas P. Novak, and Ann E. Schlosser. "Locus of Control, Web use, and Consumer Attitudes toward Internet Regulation." Journal of Public Policy & Marketing 22, no. 1 (2003): 41–57. http://dx.doi.org/10.1509/jppm.22.1.41.17628.

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The authors empirically examine how locus of control, an important consumer behavior construct, differentiates among consumers’ Web use in a marketing policy context and argue that consumers’ general expectancies as to whether they or others control events can predict their Web use and their beliefs regarding the regulation of content on the Internet. The authors test a series of hypotheses pertaining to locus of control and consumer behavior on the Internet among consumers classified as “internals” or “externals” using data collected in conjunction with the tenth WWW User Survey of the Graphi

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Huy Binh, Nguyen. "Criminological Analysis and Filtering of Sites with Aggressive Content." Revista Amazonia Investiga 9, no. 29 (2020): 482–88. http://dx.doi.org/10.34069/ai/2020.29.05.53.

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The work carried out a study of the current problem of minimizing risks and damage from aggressive impacts on the Internet, in social networks. The methodology of system and forensic analysis has been used. Using methods of mathematical and information-logical analysis, comparative and cognitive analysis of counteraction to aggressive impact on the visitor or owner of the site (moderator of the forum) is carried out. Methods of aggressive behavior (disinhibition, trolling, cyber-bullying and astroturfing), their local and global goals - up to the capture and management of communicative resourc

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Dittmar, Johanna, and Ingo Eilks. "Secondary School Students and Internet Forums—A Survey of Student Views Contrasted with an Analysis of Internet Forum Posts." Education Sciences 9, no. 2 (2019): 121. http://dx.doi.org/10.3390/educsci9020121.

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Students today are increasingly engaged in the use of digital information and communication technologies. The Internet continues to grow and more and more young people are using it worldwide. Educational practices, however, have been slow to adapt to the corresponding developments. For example, Internet forums are generally ignored in most educational practices, including chemistry education, although they are often used to find new information by everyday people. The question therefore arises: Why are such media not used to provoke and promote science or chemistry teaching and learning, while

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Zhu, Qinghua. "Research on the Peace Elite Game Comprehensive Analysis." Advances in Economics, Management and Political Sciences 150, no. 1 (2025): 151–55. https://doi.org/10.54254/2754-1169/2024.19294.

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In today's digital age, with the rapid and continuous evolution of mobile internet technology, the mobile game market is experiencing an increasingly flourishing growth. As people's lifestyles become more mobile and digital entertainment demands surge, the mobile gaming industry has witnessed a remarkable expansion. Among the various genres in the mobile game market, battle royale games have emerged as an extremely popular category. This study zeroes in on Peace Elite. By employing a comprehensive combination of research methods, including an in-depth literature review to gather knowledge and

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Harika, B., and T. Sudha. "Extraction of Knowledge from Web Server Logs Using Web Usage Mining." Asian Journal of Computer Science and Technology 8, S3 (2019): 12–15. http://dx.doi.org/10.51983/ajcst-2019.8.s3.2113.

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Information on internet increases rapidly from day to day and the usage of the web also increases, thus there is the need to discover interesting patterns from web. The process used to extract and mine useful information from web documents by using Data Mining Techniques is called Web Mining. Web Mining is broadly classified in to three types namely Web Content Mining, Web Structure Mining and Web Usage Mining. In this paper our focus is mainly on Web Usage Mining, where we are applying the data mining techniques to analyse and discover interesting knowledge from the Web Usage data. The activi

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Lamo, Yngve, Suresh K. Mukhiya, Fazle Rabbi, et al. "Towards adaptive technology in routine mental health care." DIGITAL HEALTH 8 (January 2022): 205520762211286. http://dx.doi.org/10.1177/20552076221128678.

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This paper summarizes the information technology-related research findings after 5 years with the INTROducing Mental health through Adaptive Technology project. The aim was to improve mental healthcare by introducing new technologies for adaptive interventions in mental healthcare through interdisciplinary research and development. We focus on the challenges related to internet-delivered psychological treatments, emphasising artificial intelligence, human-computer interaction, and software engineering. We present the main research findings, the developed artefacts, and lessons learned from the

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Minihanova, S., T. İmangulova, and M. Abdikarimova. "Analysis of the state of Kazakhstan's online tourism, payments and the behavior of international tourists in the digital environment." Bulletin of the International University of Tourism and Hospitality 6, no. 4 (2024): 72–92. https://doi.org/10.62867/3007-0848.2024-4/6.07.

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Today, Kazakhstan's promotion into the international information environment, increasing its importance as a destination, and the study of breakthrough technologies are priority areas in the country's tourism industry. With ubiquitous high-speed Internet access, an extremely rich content can be provided to the target audience of international tourists, such as travel descriptions on websites, documentaries, various shows, news podcasts, social videos, live broadcasts and virtual reality, and much more, created in high definition and quality. And despite the fact that an important factor for se

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Jin, Jingquan, and Xin Lin. "Web Log Analysis and Security Assessment Method Based on Data Mining." Computational Intelligence and Neuroscience 2022 (August 25, 2022): 1–9. http://dx.doi.org/10.1155/2022/8485014.

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Web content mining describes the classification, clustering, and attribute analysis of a large number of text documents and multimedia files on the web. Special tasks include retrieval of data from the Internet search engine tool W; structured processing and analysis of web data. Today’s blog analysis has security concerns. We do experiments to investigate its safety. Through experiments, we draw the following conclusions: (1) Web log extraction can use efficient data mining algorithms to systematically extract logs from web servers, then determine the main access types or interests of users,

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Belikova, Ekaterina Vasilyevna, Evgenii Georgievich Efremov, Nataliy Alekseevna Efremova, et al. "Psychological examination of the signs of extremism in the users’ social network profiles." Психология и Психотехника, no. 1 (January 2022): 1–17. http://dx.doi.org/10.7256/2454-0722.2022.1.36821.

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This article is dedicated to determination of the psychological signs of extremism in the information posted by users in social networks. The object of this research is the semantic content of a social network profile. The subject of this research is the evidence of proclivity for extremism. The relevance of this research is substantiated by the need to detect materials and people who incite social, ethnic, national, political, racial and religious hostility, as well as promote extremist views on the Internet. The goal is to determine the signs of propensity for extremism based on the social n

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Saura, Jose Ramon, Felipe Debasa, and Ana Reyes-Menendez. "Does User Generated Content Characterize Millennials’ Generation Behavior? Discussing the Relation between SNS and Open Innovation." Journal of Open Innovation: Technology, Market, and Complexity 5, no. 4 (2019): 96. http://dx.doi.org/10.3390/joitmc5040096.

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The millennial generation plays a leading role in today’s connected world in which exists a confluence of numerous technologies and the internet in science, economy and innovation. This study aimed to identify the key factors that characterize the millennial generation within the online chatter on Twitter using an innovative approach. To this end, we analyzed the user generated content (UGC) in the social network (SNS) Twitter using a three-steps knowledge-based method for information management. In order to develop this method, we first used latent Dirichlet allocation (LDA), a state-of-the-a

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Wei, Binge. "Research on the Influence of Live Webcast on Teenagers' Consumption Behavior under the New Media Background." International Journal of Education and Humanities 6, no. 3 (2023): 142–46. http://dx.doi.org/10.54097/ijeh.v6i3.4768.

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With the continuous development of the Internet economy, short video on the Internet has an increasing influence on the consumption behavior of teenagers. How to help teenagers correctly grasp consumption behavior has become a hot issue in society. Live marketing is a new network marketing mode, which combines the characteristics of previous video marketing, community marketing and event marketing, and can make brand, marketing, users, transactions and communities coherent. As a new product of Internet technology, live webcast is also one of the external factors that influence the youth's cons

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Zyma, Olga. "MODELING THE BEHAVIOR OF ENTERTAINMENT CONTENT CONSUMERS TAKING INTO ACCOUNT DIGITAL TECHNOLOGIES." Integrated communications 19, no. 1 (2025): 40–46. https://doi.org/10.28925/2524-2652.2025.15.

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This article is dedicated to the study of the peculiarities of entertainment content consumption by young people in Ukraine in the context of digital transformation and the development of new information and communication technologies. The relevance of the topic is determined by the growing role of social networks, streaming services, and user-generated content platforms, which are increasingly replacing traditional media distribution channels such as television and print publications. The research aims to model the behavior of young people as consumers of entertainment content, taking into ac

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Kulikova, Svenlana A., and Yulia A. Chulisova. "Legal regulation of the dissemination of information in social networks: Legislative innovations and prospects for law enforcement." Izvestiya of Saratov University. New Series. Series Economics. Management. Law 21, no. 2 (2021): 178–87. http://dx.doi.org/10.18500/1994-2540-2021-21-2-178-187.

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Introduction. Social networks as a relatively new form of Internet communication are actively used to create and exchange content, disseminate socially significant information, conduct business, search for work, education, create groups of like-minded people and organize their activities. At the same time, the practice of recent years has shown that the threats of using social networks for illegal purposes have also significantly increased – for example, to disseminate false or offensive information, involve users in committing criminal acts, and organize public unrest. Theoretical analysis. T

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Kuzminov, Stefan K. "MARKETING TECHNOLOGIES IN THE INTERNET ENVIRONMENT." Ekonomika i upravlenie: problemy, resheniya 3/8, no. 156 (2025): 188–93. https://doi.org/10.36871/ek.up.p.r.2025.03.08.021.

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The article is devoted to the study of the current state and trends in the development of the media market in the Russian Federation with a special focus on the fast-growing segment of digital communications, in particular, the Telegram platform. With the transformation of media content consumption due to digitalization, changes in user behavior and political and economic factors, Telegram has become one of the key channels for information distribution and advertising. The article provides a comprehensive analysis of the structure of the Russian media market, including traditional and new medi

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El-Bakhey, L. "VIRTUAL COMMUNICATION: ONLINE SELF-REPRESENTATION STRATEGIES." Scientific Journal ECONOMIC SYSTEMS 13, no. 4 (2020): 59–73. http://dx.doi.org/10.29030/2309-2076-2020-13-4-59-73.

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The paper deals with issues related to the peculiarities of user behavior during communication in the network, describes the tools and strategies of self-presentation that they use. The purpose of the study is to understand how strategic self-presentation tools affect changing one’s own image in the eyes of other users. The purpose of the study was to identify the reasons why people want to create a more presentable image in the network, to determine the frequency of use, and what contributes to this. With the help of survey and content analysis the behavior of network users aged from 16 to 25

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Choudhary, Laxmi, and Shashank Swami. "Exploring the Landscape of Web Data Mining: An In-depth Research Analysis." Current Journal of Applied Science and Technology 42, no. 24 (2023): 32–42. http://dx.doi.org/10.9734/cjast/2023/v42i244179.

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The exponential growth of Web services and Web-based applications has led to an enormous volume of data, providing a rich source for mining valuable insights. Web mining differs from traditional data mining due to the unique nature of the data it handles. Web data exists in diverse forms, including web server logs, news pages, and hyperlinks. As the usage of the internet continues to surge, web mining has become essential to extract meaningful information and patterns from these varied data sources. Traditional data mining methods may not be directly applicable to web data due to its unstructu

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Shi, Yiwen. "Optimization Study of New Media Operation on Enterprise Application Strategy." Advances in Economics, Management and Political Sciences 114, no. 1 (2024): 110–15. http://dx.doi.org/10.54254/2754-1169/114/2024bj0178.

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With the rapid development of Internet technology and the popularization of smart devices, new media platforms have become an important channel for modern information dissemination. This study will focus on the optimization measures of new media operations on the application strategies of enterprises and will focus on how most enterprises can increase market penetration and user interaction through new media platforms and study the impact of this change on the marketing efficiency and cost of enterprises. This research adopts a combination of quantitative and qualitative analysis to examine th

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N. Atanasova1 and M. Kuleva. "A SOCIAL WAY TO EXPERIENCE EVENTS – THE USE OF FACEBOOK AT THE CELABRATION OF THE 80TH ANNIVERSARY OF THE NATIONAL SPORTS ACADEMY “VASSIL LEVSKI” – SOFIA." TRAKIA JOURNAL OF SCIENCES 22, Supplement 1 (2025): 9. https://doi.org/10.15547/tjs.2024.s.01.028.

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The widespread use of Internet technologies has been fundamental in changing how people communicate daily and professionally. The social media revolution has completely changed internet user behavior. One of the social networks that is widely used is Facebook, which currently has more than 2 billion active users. The events with which the NSA "Vassil Levski" celebrated its 80th anniversary include the 3rd International Scientific Congress "Applied Sports Sciences", Round Table with the participation of Maria Gabriel, the gala-performance "Flight to the Stars" and more. The research aims to ana

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