Media Networks Research Articles

Understanding The Danger of Bullying: A Phenomenological Study on Female College Students As Victims of Cyberbullying

Cyberbullying in social media until now is a problem that has not been appropriately resolved. The presence of social media certainly has consequences in human life, including shaping cyberbullying behaviour itself. Cyberbullying is an aggressive behaviour that is carried out deliberately and repeatedly by individuals and groups using telecommunication media to harm others emotionally and psychologically so that it has an impact on the lives of individuals as victims of cyberbullying. Therefore, this study seeks to explore how to describe the dangers of bullying for students who become victims of cyberbullying. This research uses a qualitative phenomenological approach. The subjects of this study are three students who are active on social media networks and have been victims of cyberbullying. Purposive sampling techniques are used to find research subjects. Data results are analyzed using phenomenological analysis. Research shows that three of the victims have been victims of cyberbullying. Besides that, sequentially, the psychological dynamics of the third subject start with the Subject's family state, the Subject, the personality of the Subject, the Subject's daily activities, cyberbullying, the dangers of cyberbullying, and the preventive efforts of cyberbullying.

Leveraging Social Media Networks' Impact on Technopreneurship

Technology has become an integral part of society, substantially contributing to its many facets. With the advent of technology, media entrepreneurship in Malaysia has expanded significantly. The younger generation, specifically Generation Z, relies heavily on social media for communication, information inquiry, and online purchasing and selling. This change has had a significant impact on the Malaysian field of technopreneurship. Therefore, the purpose of this study is to examine the relationship between the factors that influence Generation Z's use of social media for business and their propensity to engage in technopreneurship. This is a quantitative study that uses a questionnaire to collect demographic information, factors influencing Generation Z to use social media for business, and their motivations or aspirations to partake in technopreneurship activities. 280 respondents from Generation Z technopreneurs were selected through random sampling. The software Statistical Package for the Social Sciences (SPSS) was used to perform a descriptive analysis of the obtained data. According to the study's findings, each factor has a significant relationship with the motivation to engage in technopreneurship.

DESAIN MEDIA PEMBELAJARAN BAHASA INGGRIS UNTUK SISWA TUNARUNGU BERBANTUAN TEKNOLOGI INFORMASI DAN KOMUNIKASI

Understanding words is one the language components that becoming a problem for students with hearing impairment – students with hearing and speaking problem. This difficulty exists because student with hearing impairment do have any perception about language. The difficulties of student with hearing impairment in understanding words will consequently causing problem for them in understanding and delivering sentences in written language and to interact in hearing community. The main goal of this research is to develop a media teaching and learning English based on Information Communication and Technology (ICT) and Edmodo – social network media that used exclusively as e-­‐learning tool, toward the ability of hearing impairment students in understanding meaning of words, semantic, and their interaction in learning English. The research also investigated the effectiveness of using the media in learning English for the students. The result shows that students with hearing impairment are very motivated in understanding words and sentences taught assisted with ICT and Edmodo. The everyday classroom interaction shows that the students are actively participating in individual and group works. In addition, students have a good perception about teaching assisted with ICT and Edmodo. Keyword: ICT and Edmodo, Hearing Impairment Students, Teaching and Learning English

Anaesthesia praCtice for Caesarean dElivery Snapshot Study (ACCESS): Protocol and baseline characteristics of registered centres.

Specific guidelines to manage caesarean delivery anaesthesia are lacking. A European multicentre study, ACCESS investigates caesarean delivery anaesthesia management in European centres. In order to identify ACCESS participating centres, a registration survey was created. The aim of the current report is to describe the characteristics of ACCESS study participating centres, the rationale for the ACCESS study and the study methodology. The ACCESS study is a European multicentre cross-sectional study to describe anaesthesia management for caesarean delivery (CD) using a snapshot (2-week) design. The ACCESS registration survey gathered: contact details for National Coordinators (NC); Lead Investigators (LI) per centre; centre annual CD volume; expected no. of CD during 2-week snapshot window; centre practice information; data collection language. The ACCESS registration survey was launched July 2022 (Google Forms, Google Inc., Mountain View, CA, USA) and distributed through personal connections, national and international societies, social media networks, during Euroanaesthesia 2023, through the European Society of Anaesthesiology and Intensive Care newsletter. The ACCESS registration survey identified Lead Investigators for 418 centres, in 32 countries, representing an anticipated number of 15,073 CD cases over the planned 12-month study period. A median (range) of 20 (2 to 400) CD cases are anticipated per centre during the 2-week snapshot window. Most 366/418 (87.6%) centres are small, ≤2000 annual CD cases, 42 are medium 2000-5000 cases and 10 are large, ≥5000 annual CD cases. Registered centres reported in 134 (32.0%) centres that anaesthesia for caesarean delivery is performed mostly by a specialist obstetric anaesthesiologist. The ACCESS registration survey revealed variability in volume and CD practice as well as training-levels and staffing among European countries. The ACCESS study (https://www.access-study.org/) aims to generate practice data to guide CD anaesthetic management strategies.

Application of Building Space Network Media to Improve Grade 6 Mathematics Learning Outcomes at SD Negeri 4 Manna

Penelitian ini dilatarbelakangi oleh kurangnya minat dan kesan peserta didik terhadap matematikasehingga hasil belajarnya rendah. Penelitian ini dilaksanakan di SDN 4 Kota Manna, yang terdiri26 siswa dari 16 siswa perempuan dan 10 siswa laki-laki. Penelitian ini bertujuan untukmengetahui penggunaan media bangun datar pada materi menghitung luas bangun datar dan caramenggunakannya dalam pemecahan masalah dapat meningkatkan hasil belajar siswa kelas VI SDN4 Kota Manna. Metode yang digunakan adalah Penelitian Tindakan Kelas. Proses pengumpulandata dilakukan dengan melakukan observasi, catatan lapangan dan tes. Pelaksanaan penelitian inidilaksanakan dalam 2 siklus. Hasil yang diperoleh dari pelaksanaan tindakan pada siklus I nilairata-rata 62,75 meningkat menjadi 74, 50 pada siklus II. Berdasarkan tindakan yang dilakukanpada setiap siklus dapat disimpulkan bahwa penggunaan media bangun datar dapat mengaktifkandan meningkatkan hasil belajar matematika.

A study on secured encryption of medical images using significant visual cryptography

The medical images of people are important and sensitive and cannot be shared with the public considering privacy measures. Maintaining the confidentiality of the medical image is essential, and leakage of such information can cause great loss. Therefore, the information has to be secured while being transferred through a third party, which can be any network medium. Thus, there is a need for developing a robust encryption algorithm. These algorithms improve the security of the ongoing pictures by compromising the nature of the picture and utilizing complex calculations. Algorithms that work on the nature of the picture by utilizing complex cycles, for example, error diffusion, halftoning, wavelet transform, and dithering, lead to time complexity. Thus, a compact and efficient cryptographic algorithm is proposed with fewer mathematical computations that ensure the secured transmission and reception of medical images through the medium using Significant Visual Cryptography (SVC). In SVC, initially, the quality of the secret images (SI) is improved by using the Error Abatement Technique (EAT). The output of EAT is used to generate random share values, which are then implanted in cover pictures. The shares that are transmitted do not reveal the secret information present in the original image because of the steganography features involved in this technique. The integrated check value (ICV) is calculated over the region of interest (ROI) at the encryption and decryption sides to provide additional security. Quality and security analyses have been carried out to ensure the robustness of the algorithm. The detailed study proved that the proposed algorithm beat the constraints of the current calculations. The concept of checking the integrity value and steganography features enhanced the effectiveness of the algorithm.

SECURITY IN SOCIAL MEDIA: AWARNESS OF PHISHING ATTACKS TECHNIQUES AND COUNTER MEASURES

As time and technology progresses, the social media security is one of the basic and most important aspects to consider when browsing the internet.Nowadays all people using social media mostly, using social media is widely spread among different age groups to meet several purposes including education, entertainment, or even pursue a research. With the increase of using smartphones and social media, the cyber security threats also increased. The most widely- perpetrated form of social media attacks is phishing; it is used to gather sensitive personal and professional information such as social security numbers, credit card numbers, bank account numbers, user logins and passwords, as well as other information entered through a web site or online sources. Furthermore, many users of different age groups and mainly the old age people have been exposed to social media security violations most times due to a lack of awareness about phishing attacks and how to address with them. Our paper focuses primarily to make people of all age group aware of exposure to this type of attack while using social media networks. Key Words: Cyber security, Social media, Phishing attack

A STUDY OF DIGITAL MARKETING TRENDS IN INDIA

This research paper presents a framework to investigate digital marketing research which highlights the techniques used in the process, along with its efficacy and the effects of different technology tools and social media platforms. We went over the study literature in the widely defined field of digital marketing and organized the research methodologies according to the elements using the framework. The study paper's goal is to evaluate the efficacy of various social media networks and digital media marketing techniques. This essay primarily examines the importance of digital marketing, the distinctions between it and offline marketing, and the impact of the internet and technological tools on the efficacy of digital advertising techniques.The purpose of editing this study report is to assist small businesses in understanding the value of social media marketing over traditional advertising tactics and implementing digital advertising into their business models.

IS-DGM: an improved steganography method based on a deep generative model and hyper logistic map encryption via social media networks

IS-DGM: an improved steganography method based on a deep generative model and hyper logistic map encryption via social media networks

Detection of Cyberbullying Messages on Social Media Networks using LSTM

Detection of Cyberbullying Messages on Social Media Networks using LSTM

Research on Service Strategies for Social Work Intervention in the Difficulties and Needs of Families with Children in Difficulties--Based on the empirical research in District L of Jiangsu Province

In order to properly solve the global problem of children in difficulties, social work should be involved to play a role. Based on the field investigation of families with children in distress in L District of Jiangsu Province, it is found that families with children in distress generally have needs for economic help, self-realization, future placement and care services, and their social support network resources are complementary to their needs. The research suggests that social workers can rely on the media of social support network to achieve intervention from five aspects: promoting policy improvement, carrying out skills training, providing care services, promoting community participation and establishing mutual help groups.

Future-proofing entertainment: Navigating market changes in television and internet video services through predictive modeling

This research investigates the further prospects of TV and internet video services in the dynamic Yemen market by analyzing the factors that influence their use and engagement. This research expands its framework by including the combined concept of absorption and employ of technologies, and the idea of technology disruptions and systems improvement adding an entertaining bend to the analysis. Its purpose is to investigate the connection between the intention to use and the behaviour of interacting with the material. The research subjects were answered by a group of 400 academic graduates. In contrast to previous studies, this study discovered that only the Perceived Ease of Use (PES) is effectively connected with the desire to use online video services. However, it also revealed a significant optimistic connection between customer quality Online Flow Experience (OFE), Perceived Behavioral Control (PBO), and Instrumental Orientation (IR), the purpose to employ internet video services. Findings indicate a decline in TV viewership, while the limited amount of available money may pose a significant obstacle to the expansion of video platforms. This study provides vital insights into the evolving consumer behavior inside Yeman's media network at a period of minimal investigation.

Networks and Influencers in Online Propaganda Events: A Comparative Study of Three Cases in India

The structure and mechanics of organized outreach around certain issues, such as in propaganda networks, is constantly evolving on social media. We collect tweets on two propaganda events and one non-propaganda event with varying degrees of organized messaging. We then perform a comparative analysis of the user and network characteristics of social media networks around these events and find clearly distinguishable traits across events. We find that influential entities like prominent politicians, digital influencers, and mainstream media prefer to engage more with social media events with lesser degree of propaganda while avoiding events with high degree of propaganda, which are mostly sustained by lesser known but dedicated micro-influencers. We also find that network communities of events with high degree of propaganda are significantly centralized with respect to the influence exercised by their leaders. The methods and findings of this study can pave the way for modeling and early detection of other propaganda events, using their user and community characteristics.

Women Entrepreneurs’ Preference in using Social Media Networks on Online Business Opportunities and Challenges: the Case of Bangladesh

Women Entrepreneurs’ Preference in using Social Media Networks on Online Business Opportunities and Challenges: the Case of Bangladesh

Blocking of counter-partisan accounts drives political assortment on Twitter.

There is strong political assortment of Americans on social media networks. This is typically attributed to preferential tie formation (i.e. homophily) among those with shared partisanship. Here, we demonstrate an additional factor beyond homophily driving assorted networks: preferential prevention of social ties. In two field experiments on Twitter, we created human-looking bot accounts that identified as Democrats or Republicans, and then randomly assigned users to be followed by one of these accounts. In addition to preferentially following-back copartisans, we found that users were 12 times more likely to block counter-partisan accounts compared to copartisan accounts in the first experiment, and 4 times more likely to block counter-partisan accounts relative to a neutral account or a copartisan account in the second experiment. We then replicated these findings in a survey experiment and found evidence of a key motivation for blocking: wanting to avoid seeing any content posted by the blocked user. Additionally, we found that Democrats preferentially blocked counter-partisans more than Republicans, and that this asymmetry was likely due to blocking accounts who post low-quality or politically slanted content (rather than an asymmetry in identity-based blocking). Our results demonstrate that preferential blocking of counter-partisans is an important phenomenon driving political assortment on social media.

Intelligent Alerting System Development by Network Media Semantic Analysis and Face Recognition

Nowadays, the network has become the major data provider to everyone. Various providers feed data to the end users to achieve the flow of information for their purposes. In this research, we develop an intelligent alerting system that can automatically sematic analyze the contents from the network and extract the altered information including event description and suspect’s photo. We crawl the PTT, Dcard, and Google News in Taiwan as our sources to process due to the popularity of the three social network systems. These are the three very popular social media in Taiwan and real-time events, news is always posted to the three media very soon, therefore, we adopt them as our research source. Video monitors installed on campus or in the community after receiving alerts and photos will enter alert mode. Real-time face recognition will be issued for the people captured by the camera. Once the system recognizes the suspect, it will notify the security guard to take necessary actions to protect the people. There are two major parts to this research, the first one is the media semantic analysis and the second one is the real-time face recognition. It is an intelligent altering system that is capable to find out the suspected assault or rapist rapidly once he is captured by a monitor and recognized after people post the crime events to the media.

User Involvement in a Desire to Buy Particular Goods on the Internet

Social media can be very effective at promoting niche products because customers often enjoy leaving reviews and striking up discussions about these things. This could increase consumer interest in the goods. In this study, we investigate how user designs interacting during a discourse on a niche cultural product can affect engagement levels, which may in turn improve consumption intentions. We demonstrate how increased interaction might boost consumption motivation. We discover that increased homophily and connectedness within the social media network will lead to a simultaneous rise in polarization and the prevalence of content tailored to niche markets. Next, we examine an expansion in which two lobbyists have the ability and desire to affect the frequency of every kind of content. The primary ways in which businesses can use social media as tools for strategic marketing. The article outlines the primary categories of social media applications and suggests two key applications for social media use by marketers: As sources of market intelligence, or "passive marketing tools," as well as "active marketing tools," which are platforms for interacting, communicating, and promoting with customers.

Automated Social Media Text Clustering Based on Financial Ontologies

Social media networks provide an aggregation of news and content, allowing users to share and discuss topics of greatest interest to them. Users can enrich the news by providing context and opinions that are useful to other users. Understanding topics of interest sheds light on the collective thinking of a group of individuals and offers important insights for exploring a given field. Among the fields of interest on social media networks, finance stands out. Automatically identifying and organizing the main issues that users discuss can be useful for multiple purposes, e.g., identifying the preferred types of loans could be useful for refining targeted advertising. Our work aims to identify and organize the topics discussed on a social media network that are related to the financial sector. For this, we propose an approach that consists of analyzing posts from Reddit communities oriented to finance. First, posts were gathered and cleaned to remove punctuation, links, and images. Then, textual similarity was computed to match posts with classes from dedicated ontologies designed for the financial sector. Finally, the populated ontology was analyzed to identify clusters of concepts. The results showed that the proposed approach and corresponding tool can summarize topics from a large number of Reddit posts using the identified classes. Over 70% of posts were linked to ontologies when considering both posts and comments, which shows that the automatic support given to posts related to financial concepts had a high degree of success.

Analysis of the Development Strategy of Bilibili in the Context of Artificial Intelligence

The purpose of this paper is to analyse in depth the development strategy of Bilibili in the context of artificial intelligence and to explore its practical significance in the field of social media, to explore the future application of AI technology in Bilibili and the development strategy of Bilibili, etc. This paper provides important references and suggestions to assist Bilibili's platform in maintaining its competitive edge in the context of AI and achieving sustainable development. The findings of this article have significant implications for other social media networks that use AI technology. Other social media platforms can achieve breakthroughs and development in the field of AI by learning from the successful experiences and strategies of the Bilibili Platform, improving user experience and platform competitiveness. At the same time, the research in this paper also helps to promote the development of AI technology in the field of social media to provide better services and experiences for users.

Yoshida Ami’s Onkyō and the Persistently "Japanese" Body: Making (Electro)voice Sound

<p>This essay examines the experimental vocal and electronic work of Yoshida Ami in the context of the Japanese onkyō movement of the turn of the millennium, developing the concept of “plasmatic voice” that addresses the assemblage of embodied vocal performance through audio technology. Understanding vocal performance as it circulates globally through digital media networks must be perforce include transcultural analysis of race, culture, and gender, as well as other salient identity categories dependent on context. The essay also closely examines common metaphors for audio devices (such as microphones) as part of a programmatic attempt to listen deeply to human and nonhuman sounding without relying on the normative human body as the centre of analysis. Instead, a process-based approach following Jasbir Puar’s combining of intersectionality alongside assemblage theory is undertaken.</p>