• 인터넷정보학회논문지
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• 제18권1호
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• pp.89-103
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• 2017

이 연구는 정부의 위기 상황에서, 정부 운용 소셜 미디어의 매체 환경적 특성에 따라 이용자의 참여가 얼마나 능동적인지, 메시지 확산 유형에 어떤 영향을 미치는지 살펴보았다. 소셜 미디어 환경을 인간 상호작용성과 매체 상호작용성을 기준으로 유형화했고, 이용자의 능동성은 좋아요, 공감 같은 감정을 표현하는지, 댓글까지 쓰는지를 기준으로 능동성 정도를 측정했다. 소셜 미디어에 올라온 댓글에 대해서는 네트워크 분석을 통해 유형화했다. 분석 결과 정보제공 참여형과 관계지향적 참여형의 경우, 이용자의 능동적 참여가 높게 나타났고, 정보 제공형과 제한적 플랫폼에서 능동적 참여가 낮았다. 메시지 확산 유형을 분석한 결과 제한적 플랫폼에서 합리적 의견 제한형이 나타났고, 나머지 소셜 미디어 환경에서는 감정적 의견 확산형과 감정적 의견 제한형이 형성됐다. 메르스 사태와 같은 위기 상황에서 정부는 소셜 미디어의 매체 환경적 특성에 적합한 메시지를 제공하지 못하는 것으로 나타났고, 이러한 매체 환경은 이용자의 참여와 댓글 형성에 영향을 미친 것을 알 수 있었다. 정부는 이용자와의 상호작용성을 증가시켜 이용자 친화적인 소셜 미디어 환경을 만들고, 위기 상황에서 이용자와 소통하는 노력을 해야 할 것이다.

• International Journal of Computer Science & Network Security
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• 제21권7호
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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.

• Journal of Information Science Theory and Practice
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• 제12권1호
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• pp.39-59
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• 2024

An online social network is a platform that is continuously expanding, which enables groups of people to share their views and communicate with one another using the Internet. The social relations among members of the public are significantly improved because of this gesture. Despite these advantages and opportunities, criminals are continuing to broaden their attempts to exploit people by making use of techniques and approaches designed to undermine and exploit their victims for criminal activities. The field of digital forensics, on the other hand, has made significant progress in reducing the impact of this risk. Even though most of these digital forensic investigation techniques are carried out manually, most of these methods are not usually appropriate for use with online social networks due to their complexity, growth in data volumes, and technical issues that are present in these environments. In both civil and criminal cases, including sexual harassment, intellectual property theft, cyberstalking, online terrorism, and cyberbullying, forensic investigations on social media platforms have become more crucial. This study explores the use of machine learning techniques for addressing criminal incidents on social media platforms, particularly during forensic investigations. In addition, it outlines some of the difficulties encountered by forensic investigators while investigating crimes on social networking sites.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2017년도 춘계학술발표대회
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• pp.661-664
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• 2017

Recently, during disasters occurrence, dealing with emergencies has been handled well by the early transmission of disaster relating notifications on social media networks (e.g., Twitter or Facebook). Intuitively, with their characteristics (e.g., real-time, mobility) and big communities whose users could be regarded as volunteers, social networks are proved to be a crucial role for disasters response. However, the amount of data transmitted during disasters is an obstacle for filtering informative messages; because the messages are diversity, large and very noise. This large volume of data could be seen as Social Big Data (SBD). In this paper, we proposed a big data platform for collecting and analyzing disasters' data from SBD. Firstly, we designed a collecting module; which could rapidly extract disasters' information from the Twitter; by big data frameworks supporting streaming data on distributed system; such as Kafka and Spark. Secondly, we developed an analyzing module which learned from SBD to distinguish the useful information from the irrelevant one. Finally, we also designed a real-time visualization on the web interface for displaying the results of analysis phase. To show the viability of our platform, we conducted experiments of the collecting and analyzing phases in 10 days for both real-time and historical tweets, which were about disasters happened in South Korea. The results prove that our big data platform could be applied to disaster information based systems, by providing a huge relevant data; which can be used for inferring affected regions and victims in disaster situations, from 21.000 collected tweets.

• International Journal of Internet, Broadcasting and Communication
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• 제9권3호
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• pp.59-69
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• 2017

The best 'hub' to communicate with the citizen is using social media to marketing the business. However, there has several issued and the most common issue that face in critical is a capital issue. This issue is always highlight because most of automatic sentiment detection tool for Facebook or any other social media price is expensive and they lack of technical skills in order to control the tool. Therefore, in directly they have some obstacle to get faster product's feedback from customers. Thus, the personal online retailing need to struggle to stay in market because they need to compete with successful online company such as G-market. Sentiment analysis also known as opinion mining. Aim of this research is develop the tool that allow user to automatic detect the sentiment comment on social media account. RAD model methodology is chosen since its have several phases could produce more activities and output. Soppy tool will be develop using Microsoft Visual. In order to generate an accurate sentiment detection, the functionality testing will be use to find the effectiveness of this Soppy tool. This proposed automated Soppy Tool would be able to provide a platform to measure the impact of the customer sentiment over the postings on their social media site. The results and findings from the impact measurement could then be use as a recommendation in the developing or reviewing to enhance the capability and the profit to their personal online retailing company.

• International Journal of Computer Science & Network Security
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• 제21권11호
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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.

• 한국정보시스템학회지:정보시스템연구
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• 제32권4호
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• pp.69-94
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• 2023

Purpose Social networking service (SNS) platforms employ distinct networking strategies to meet the varying needs of their users, resulting in divergent sets of technological functionalities offered by each platform. Consequently, unique features on various SNSs give rise to distinct social issues. Moreover, the available technical coping mechanisms for users vary significantly across platforms. Design/methodology/approach Therefore, this study analyzes the factors affecting technical coping intention based on technical functions of SNSs for users exposed to cybercrime, such as sexual harassment. We divide coping intention into active and passive coping intention. Furthermore, this research focuses on trust as an antecedent of coping intention and verifies how human and system-like trust affects two coping intentions in different directions. Findings Findings reveal that system-like trust significantly affects both active and passive coping intention as a belief in whether the technology will work properly. However, in the case of human-like trust, trust in the platform provider was found to negatively affect passive coping, which is considered unsocialized behavior on SNS platforms. Therefore, both human-like and system-like trust for the platform must be appropriately applied to cope with the problem while activating the platform.

• 한국콘텐츠학회논문지
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• 제19권1호
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• pp.74-85
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• 2019

싸이월드와 아이러브스쿨 같은 소셜 미디어가 한국사회에서 실패한 요인을 찾기 위해 계층 모델의 관점에서 전문가 인터뷰를 분석했다. 이용자 측면, 매체적 측면, 조직적 측면에서 성공 요인을 찾은 결과, 연결을 통한 소셜 관계를 충족시키고, 이용자 맞춤형 콘텐츠를 제공하고, 소셜 미디어 서비스를 선점한 미디어가 성공했다. 페이스북과 카카오톡이 대표적인 소셜 미디어라고 할 수 있다. 실패한 요인으로는 이용자의 취향이나 욕구를 외면하고, 메시지를 공유하는 플랫폼으로서의 확장에 한계가 있고, 급변한 커뮤니케이션 환경에 대응하지 못한 것을 지적했다. 대표적인 서비스로 아이러브스쿨, 싸이월드, 트위터가 있다. 인터뷰를 통해 소셜 미디어가 생존하려면 환경 변화에 민감해야 한다는 것을 밝혔다. 전문가들은 4차 산업혁명 시대 AI, 빅데이터를 접목한 서비스를 제공하는 등 지속적으로 변화해야 한다는 제안을 했다.

• 아태비즈니스연구
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• 제10권1호
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• pp.73-86
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• 2019

Since its launch, WeChat has been changing the Chinese lifestyle, changing the traditional way of distribution, and changing the way companies market with the combination of information innovation and New Media. Now, WeChat plays an indispensable role in peopl's daily lives, not only in chatting software, but also in shopping, delivery, ordering, payment, and games. This study was centered on people who have used WeChat and around these backgrounds, planned study models. Through prior research, the purpose of the research is to explore the factors influencing the effects of the WeChat platform on MPR and explore the media effects of advertising attitude between WeChat platform features and MPR effects and provide basic material on its continued development. The research has shown that the reliability and diversity of the WeChat platform has a significant impact on both advertising attitude and purchase intention and propaganda intention of MPR effects. Advertising attitude has a positive impact on purchase intention and propaganda intention, and advertising attitude is shown to have a mediated effect between the WeChat platform and the MPR effects. The results of this study suggest the theoretical enlightenment of "continuous and stable development of the WeChat platform", and it is expected that marketing development plans of various social platforms will provide basic materials.

• International Journal of Advanced Culture Technology
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• 제7권1호
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• pp.77-83
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• 2019

Recently, as social media users have grown, the resulting form of advertising has emerged, and one of the types is native advertising. This advertising method appears to be 52% higher than the banner, according to a study by the IPG Media Lab (2013). Therefore, there is a positive effect on native advertising, but it is necessary to maximize the effect. In this paper, the acceptor's attitude to the native advertisement and the shared intention are verified as to how the effect of the native advertisement can be understood and the maximized effect can be obtained. When the brand phrase was in the form of direct exposure, the subjects were positive about the advertisement and the brand attitude was favorable. Share intentions were also high. These results included suggestions to produce native advertisements in consideration of the attitudes and sharing of the recipients.