• Title/Summary/Keyword: Social network platform

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Advanced Unified Communication Service System (차세대 통합 커뮤니케이션 서비스 제공 시스템)

  • Shin, Young-Mee;Bae, Hyun-Joo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.8B
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    • pp.962-970
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    • 2011
  • This paper describes an advanced unified communication system. The advanced unified communications mean a service that integrates basic communications such as call, SMS, email, and chatting with social networking service considered as a new communication channel, presenting a unified user interface. The advanced unified communication system is composed of advanced UC(Unified Communications) applications, open UC service platform, and UC back-end servers. The advanced UC applications consist of web-based application and smart phone application. The open UC service platform provides a variety of service components that enable the third party applications to access basic communications and social network services within an enterprise. The UC back-end servers provide server functionalities for call, SMS, email, and chatting.

PR-Management and Branding of Media Channels with the Application of Social Networks

  • Shalman, Tatiana;Dobrianska, Viktoriia;Kokhan, Marianna;Pletsan, Khrystyna;Humenchuk, Anatolii
    • International Journal of Computer Science & Network Security
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    • v.21 no.7
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    • pp.70-76
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    • 2021
  • The relevance of intelligence involves the definition of such communication systems of PR-management and branding of media channels with the use of social networks, which are already implemented in practice by modern representatives of professional PR product. The purpose of the investigation is to determine the system of implementation of technologies of PR-management and branding of media channels with the use of social networks based on a survey of PR and brand of different media channels on the basis of a survey of brand managers and PR. 980 respondents from Ukraine took part in the survey. The survey was conducted on the Google-forms platform. The results outline a list of the most popular social networks and messengers for the implementation of PR management and branding technologies, including Facebook, Twitter, Google, LinkedIn, Tumblr; Telegram, WhatsApp, Viber, Skype. It is determined that the criteria of branding analysis are informativeness, centralization/distribution, content, feedback intensity. Identified 2 prospects for the development of branding in an interactive media environment (creation of a presentation system; integration of websites of social media and companies in universal centers). The criteria of general importance of the factors influencing the behavioral intention of consumers to use social media channels are presented (satisfaction, accessibility, perceived usefulness, trust, ease of use, attitude, social influence, self-efficacy). The meaning of the content of social media channels (public, informational and communication) is indicated. The practical significance of the study was to present the links between the criteria, development prospects and the values of branding factors.

Cyberbullying Detection in Twitter Using Sentiment Analysis

  • Theng, Chong Poh;Othman, Nur Fadzilah;Abdullah, Raihana Syahirah;Anawar, Syarulnaziah;Ayop, Zakiah;Ramli, Sofia Najwa
    • International Journal of Computer Science & Network Security
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    • v.21 no.11
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    • pp.1-10
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    • 2021
  • Cyberbullying has become a severe issue and brought a powerful impact on the cyber world. Due to the low cost and fast spreading of news, social media has become a tool that helps spread insult, offensive, and hate messages or opinions in a community. Detecting cyberbullying from social media is an intriguing research topic because it is vital for law enforcement agencies to witness how social media broadcast hate messages. Twitter is one of the famous social media and a platform for users to tell stories, give views, express feelings, and even spread news, whether true or false. Hence, it becomes an excellent resource for sentiment analysis. This paper aims to detect cyberbully threats based on Naïve Bayes, support vector machine (SVM), and k-nearest neighbour (k-NN) classifier model. Sentiment analysis will be applied based on people's opinions on social media and distribute polarity to them as positive, neutral, or negative. The accuracy for each classifier will be evaluated.

The Effect of Using WhatsApp on EFL Students' Medical English Vocabulary Learning During the Covid-19 Pandemic

  • Saud Alenezi;Elias Bensalem
    • International Journal of Computer Science & Network Security
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    • v.24 no.2
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    • pp.143-149
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    • 2024
  • The role of social networking mobile applications such as WhatsApp in enhancing second language vocabulary learning among English language learners continues to be a subject of interest for many scholars. The current study aimed at examining medical English vocabulary learning among undergraduate students using WhatsApp compared to learning vocabulary via the Blackboard platform during the Covid-19 pandemic. To this end, 108 medical students (51 males, 57 females) enrolled in a first semester English for a specific English course participated in the study. A quasi-experimental design was adopted for two groups. Fifty-three students participated in the WhatsApp group and 55 students formed the Blackboard group. A pretest-posttest design was employed to collect data. Results of t-test scores did not show a significant difference between the WhatsApp and Blackboard groups on a vocabulary test. Results of a survey that measured students' opinion of the use of WhatsApp as a platform for learning new vocabulary showed positive perceptions since participants thought that WhatsApp enhanced their learning experience.

Investigating Paid Virtual Live Stream Concert Experience from the Perspective of Social Representations Theory (유료 온라인 라이브콘서트 소비경험에 대한 연구: 사회표상이론을 중심으로)

  • Hyunjin Park;Yoonhyuk Jung
    • Information Systems Review
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    • v.25 no.2
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    • pp.77-101
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    • 2023
  • Due to COVID-19, paid virtual live-stream concerts have emerged as an alternative format and a new revenue model for in-person live concerts. Despite the increasing scholarly and practical interest in how participants experience paid virtual live-stream concerts, few studies examined participants' consumption and participation experiences. Thus, this study aims to provide insights into consumers' virtual live-stream concert experience by employing social representations theory (SRT). We explore the features of paid virtual live-stream concerts based on the C-P-N-D (Content-Platform-Network-Device) framework and the consumers' cognitive and affective perception. To this end, an SRT-based core-periphery analysis was conducted based on 239 responses to the open-ended survey questions. The results show that network-and device-level features of virtual live concerts and participants' overall perception are presented as core elements of paid virtual live-stream concerts, whereas content- and platform-level features are peripheral elements. This finding provides an in-depth understanding of the emergence of paid virtual live-stream concerts as an alternative concert format, thereby providing an invaluable understanding of a virtual live concert experience and theoretical and practical insights.

A Study on the Industrial Application of Cultural Archetype Contents on SNG (문화원형콘텐츠의 SNG 활용방안 연구)

  • Lee, Hyun-Woo;Kim, Sung-Nam
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.409-412
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    • 2012
  • This Paper studied out prototype and the structure of Cultural Archetype Contents on Social Network Game. Interaction with the platform have the information that aims to develop relationships with SNG. The paradigm is changing the Cultural Archetype Contents. Today Cultural Archetype Contents is a major topic in Game Contents and this issue has influenced the game design and Story Telling. And I hope that they will be fine an alternative strategy of Cultural Archetype Contents and SNG.

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A Study on Slow Driving of Metropolitan Train for Disorder Condition of Platform Safety Gate using LTE-R and Beacon (LTE-R과 비콘을 활용한 승강장안전문 장애발생 시 열차 서행운전에 관한 연구)

  • Joh, Eungyoung;Noh, Jowon;Kim, Jin-Tea;Lee, Sunghwa
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.3
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    • pp.31-36
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    • 2020
  • The LTE-R system is a system consisting of a packet network that provides all IP-based services. Continuous failures related to the platform safety gate and subsequent safety accidents related to passengers and safety gate workers continue. The secondary damage caused by the failure of the platform safety door and the related human life damage have emerged as a major social issue.. By linking the beacon system to the Long Term Evoluton-Railway (LTE-R) network, an LTE-based railway wireless network currently in operation or being installed, it precisely locates trains and provides standardized fault alerts to train crews. When entering into the station, ultimately we will decelerate the train and reduce the accidents of metropolitabn railroad traffic by securing safe driving.

A Study on the Perception of Fashion Platforms and Fashion Smart Factories using Big Data Analysis (빅데이터 분석을 이용한 패션 플랫폼과 패션 스마트 팩토리에 대한 인식 연구)

  • Song, Eun-young
    • Fashion & Textile Research Journal
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    • v.23 no.6
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    • pp.799-809
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    • 2021
  • This study aimed to grasp the perceptions and trends in fashion platforms and fashion smart factories using big data analysis. As a research method, big data analysis, fashion platform, and smart factory were identified through literature and prior studies, and text mining analysis and network analysis were performed after collecting text from the web environment between April 2019 and April 2021. After data purification with Textom, the words of fashion platform (1,0591 pieces) and fashion smart factory (9750 pieces) were used for analysis. Key words were derived, the frequency of appearance was calculated, and the results were visualized in word cloud and N-gram. The top 70 words by frequency of appearance were used to generate a matrix, structural equivalence analysis was performed, and the results were displayed using network visualization and dendrograms. The collected data revealed that smart factory had high social issues, but consumer interest and academic research were insufficient, and the amount and frequency of related words on the fashion platform were both high. As a result of structural equalization analysis, it was found that fashion platforms with strong connectivity between clusters are creating new competitiveness with service platforms that add sharing, manufacturing, and curation functions, and fashion smart factories can expect future value to grow together, according to digital technology innovation and platforms. This study can serve as a foundation for future research topics related to fashion platforms and smart factories.

Exploratory Investigation for Some Universities' E-Learning Systems during Covid-19 Pandemic

  • Fatima Rayan Awad, Ahmed;Thowiba E., Ahmed;Rashid A., Saeed;Elmustafa Sayed, Ali;Ghada Elnour Elterafi, Abdelrhman;Somia Yousif Ahmed, Abutiraima
    • International Journal of Computer Science & Network Security
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    • v.22 no.12
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    • pp.160-170
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    • 2022
  • COVID pandemic has reshaped the world as it has been known to us and the education system is one of the most affected by it. Due to social distancing, quarantines and isolations have made it impossible for the knowledge transition to the masses using conventional methods. For cope with pandemic, the only other way available for some of the fortunate countries is the use of E-learning having somewhat the same traditional teaching method. This paper is concerned with the study of the preparedness of the learning system in some Sudanese universities due to the impact of the COVID-19 pandemic. Critical analysis has been performed to evaluate the current developing scenario, usage of the facilities available in open-source platforms, and the interaction of the universities folks with e-learning systems. The impact of such measures has been thoroughly investigated in this paper for Sudan which is already deprived of a proper education system. The investigation shows that the interact of the staff and the students with the system was acceptable where more than 85% of those enrolled to the system were interact properly and efficiently. The lecturers conducted through the platform were attended with more than 75% of the students. We also found that most of the lecturer were avoid to exam students by utilize the platform; where only 45% of the uploaded courses were conducted exams over Moodle platform. As Moodle is an open source and still need to be improved to be used for high examination credibility.

A research for Social Learning method of using Social Media (소셜 미디어를 활용한 소셜 러닝 체제 연구)

  • Chang, Il-Su;Hong, Myung-Hui
    • 한국정보교육학회:학술대회논문집
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    • 2011.01a
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    • pp.233-240
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    • 2011
  • Social Media is the open online tool and media platform for sharing and participation of users opinion, experience, viewpoiont, so general situation that is one-side flowing from production to consume doesn't act, and while use of two-way, user create contents use of sharing and participation. This social media include Blog, Social Network Service(SNS), Wiki, User Create Contents(UCC), Micro Blog, 5 types. In broad terms, Social Learning is self-learning that user sharing with coperation and collective intelligence through Social Media, and in few wards Social Learning is learning for Social Media. In this research, we define Social Media and Social Learning, and research of method of use of Elementary Education.

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