• Asian Journal of Business Environment
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• 제8권3호
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• pp.5-12
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• 2018

Purpose - The purpose of current paper is to identify features of advertisements at social media that generate the ad-click and to further identify if these advertisements lead to purchase. If no purchase is made, then reasons for not making purchase are identified. Users' purchase experience after users clicked at advertisements are also studied. Research design, data, and methodology - Research design followed is exploratory research, where various factors leading to ad-clicks and generating purchase at social media platform were explored. Raw data was gathered by means of survey among a sample of 185 respondents in India using online structured questionnaire. GLM model and multinomial regression were used to analyze the data. Results - Several factors including endorsement by friends, advertisement aesthetics, product reviews, and aggressive pricing played major role in generating ad-clicks. Major impediment to purchase on were product misrepresentation in advertisement, false discounts, and site security. Female users clicked more on social media advertisements and made more purchases compared to their male counterpart. Conclusions - Social media advertisements have significant positive effect on buying behavior of online customers. Transactions culminating from social media ad-click generated significant positive experience for social media users. Thus, social media can be effective marketing tool.

• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.7-14
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• 2022

COVID-19 has caused a global disturbance, increased anxiety, and panic, eliciting diverse reactions. While its cure has not been discovered, new infection cases and fatalities are being recorded daily. The focus of the present study was to analyze the reaction of gifted undergraduate students on social media during the quarantine period of the COVID-19. A special group of gifted students, who joined the program of attracting and nurturing talents at the University of Jeddah, University students as were the target sample of this study. To analyze online reactions during the pandemic; the choice of university students was arrived at as they are perceived to be gifted academically. Hence, the analysis of the impacts on their behavior on social media use is imperative. This study presented accurate and consistent data on the effects of social media using Twitter platforms on gifted students during the quarantine occasioned by the COVID-19 pandemic. The behavior of learners due to during the use of social media was extensively explored and results analyzed. The study was carried out between April and May 2020 (quarantine period in Saudi Arabia) to establish whether the online behavior of gifted students reflects positive or negative feelings. The methods used in conducting this study the research were online interviews and scraping participants' Twitter accounts (where most of the online activities and studies take place). The study employed the Activity theory to analyze the behavior of gifted students on social media. The sample size used was 60 students, and the analysis of their behavior was based on Activity theory Overall, the results showed proactive, positive behavior for coping with a challenging situation, educating society, and entertaining. Finally, this study recommends investing in gifted students due to their valuable problem-solving skills that can help handle global pandemics efficiently.

• International Journal of Computer Science & Network Security
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• 제22권7호
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• pp.103-108
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• 2022

Mass media in the digital age are not only one of the most important elements of the information society but also a strategic resource for its development. Effectively implemented communication makes it possible to build connections not only between individuals, but also between social institutions and representatives of various generational groups of the mass audience, as well as ensure information security in a crisis period. At the same time, in the context of a constantly increasing amount of information flows, more and more often "a person loses the ability to independently think, analyze, and critically perceive information." At the same time, "imposing" on the representatives of this or that society, through the content of multi-format mass media or active authors of social networks, a certain point of view on the problem becomes a completely realizable task. Thus, the main task of the study is to analyze the anti-crisis communications in legal discourse in terms of ensuring information security. As a result of the study, current trends and prerequisites of anti-crisis communications in legal discourse in terms of ensuring information security were revealed.

• 한국재난관리표준학회지
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• 제2권3호
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• pp.16-18
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• 2009

• 융합보안논문지
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• 제15권6_2호
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• pp.37-44
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• 2015

사회구조의 변화에 따라 범죄연령의 변화도 발생하며, 범죄종류와 형태도 다양하게 나타나고 있다. 이에 대해 본 논문은 에밀 뒤르껭(E. Durkheim)의 아노미(Anomie) 이론을 접목하여 설명하고 있다. 아노미는 이중규범 또는 규범이 없는 상태를 의미한다. 즉, 기존의 지배적 규범이 약화되면서 새로운 규범이 정립되지 않았을 때 무규범 또는 이중규범 상태가 되어 사회적 혼란 상태를 야기 시킨다고 하는 것이다. 정보통신기술의 발달로 인한 SNS의 보급과 활용은 사회적 규범을 약화시키며 온라인상의 규범은 정립이 미약한 상태이다. 이러한 규범의 혼란 상태에서 청소년 비행은 증가하여 나타나고 있다. 소셜 미디어는 전파성, 개방성, 접근성, 관계성, 콘텐츠다양성 등의 특성을 갖고 있다. 이러한 소셜 미디어는 그 자체가 일종의 유기체처럼 성장하기 때문에 소비와 생산의 일반적인 매커니즘이 적용되지 않고, 양방향성을 활용하여 이용자들이 자발적으로 참여하고 정보를 공유하며 콘텐츠를 만들어 나가는 특성이 있다. 소셜 미디어는 청소년층에서 소통과 정보, 접촉수단으로 자리 잡고 있고, 이에 따른 비행의 접촉율도 높다. 소셜 미디어는 청소년 범죄에 직 간접적으로 영향을 미치고 있으나 이에 대한 제도적 규제도 뚜렷이 없는 실정이다.

• International Journal of Computer Science & Network Security
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• 제24권6호
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• pp.83-88
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• 2024

In this paper we used classification algorithms on social networking. We are proposing, a new classification algorithm called the improved Decision Tree (IDT). Our model provides better classification accuracy than the existing systems for classifying the social network data. Here we examined the performance of some familiar classification algorithms regarding their accuracy with our proposed algorithm. We used Support Vector Machines, Naïve Bayes, k-Nearest Neighbors, decision tree in our research and performed analyses on social media dataset. Matlab is used for performing experiments. The result shows that the proposed algorithm achieves the best results with an accuracy of 84.66%.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.423-430
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• 2022

The emergence of social media platforms has changed the culture of business marketing. Their impact has increased considerably since the emergence of social media influencers or content creators. The phenomenon of social media influencers has been adopted as one of the most effective marketing strategies among global and local organizations. Those celebrities attract business owners, who seek to use them as means to reach a large number of potential consumers. Today, the user bases of Snapchat and YouTube in Saudi Arabia are growing fast and becoming very popular, unlike other social media platforms. Consequently, the impact of these applications' influencers on the purchasing habits of individuals cannot be underestimated. This survey paper intends to investigate the impact of Snapchat and YouTube influencers on the consumption behaviour of Saudi consumers. Results suggest that Snapchat is not only more popular but also more rusted and credible. Moreover, influencers' impact on purchasing behaviour is prevalent and powerful; furthermore, its influence is more effective in persuading Saudi consumers to buy certain products, such as food, than other products, like jewelry.

• International Journal of Computer Science & Network Security
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• 제23권6호
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• pp.202-206
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• 2023

Today, social media has become a vital tool. The world communicates and reaches the news and each other's opinions through social media accounts. Recently, considerable research has been done on analyzing social media due to its rich data content. At the same time, since the beginning of the COVID-19 pandemic, which has afflicted so many around the world, the search for a vaccine has been intense. There have been many studies analyzing people's feelings during a crisis. This study aims to understand people's opinions about available Coronavirus vaccines through a learning model that was developed for this purpose. The dataset was collected using Twitter's streaming Application Programming Interface (API) , then combined with another dataset that had already been collected. The final dataset was cleaned, then analyzed using Python. Polarity and subjectivity functions were used to obtain the results. The results showed that most people had positive opinions toward vaccines in general and toward the Pfizer one. Our study should help governments and decision-makers dispel people's fears and discover new symptoms linked to those listed by the World Health Organization.

• 지식경영연구
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• 제15권2호
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• pp.165-182
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• 2014

Social commerce is regarded as a kind of e-commerce that utilizes social media. Considering increasing complaints around social commerce market, it is important to see customers' satisfaction level and intentions to repurchase. In this study, we examine antecedents that affect customers' satisfaction and relationship between satisfaction and intention to repurchase in social commerce market. We also use social media characteristics as moderators between antecedents and customers' satisfaction. The main results are as follows. First, except site design, most of the intrinsic factors of service quality, such as information, transaction, communication and perceived security had positive effects on customers' satisfaction. Second, all the extrinsic factors of service quality, such as discount rate, constraints, and discrimination had significant impacts on customers' satisfaction. Third, the social media characteristics could not moderate the relationship between service qualities and customers' satisfaction. Fourth, customers' satisfaction had positive effect on the intention to spread through social media. Fifth, customers' satisfaction had positive effect on the intention to repurchase. Social commerce companies need to set up strategies considering the antecedents of customers' satisfaction using these research results. They also need to secure customers that have sustainable purchasing intentions.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.127-133
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• 2021

Today, phishing attacks represent one of the biggest security threats targeting users of the digital world. They consist of an attempt to steal sensitive information, such as a user's identity or credit and debit card details, using various methods that include fake emails, fake websites, and fake social media messages. Protecting the user's security and privacy therefore becomes complex, especially when those users are children. Currently, children are participating in Internet activity more frequently than ever before. This activity includes, for example, online gaming, communication, and schoolwork. However, children tend to have a less well-developed knowledge of privacy and security concepts, compared to adults. Consequently, they often become victims of cybercrime. In this paper, the effects of security awareness on users who are children are investigated, looking at their ability to detect phishing attacks in social media. In this approach, two Experiments were conducted to evaluate the effects of security awareness on WhatsApp application users in their daily communication. The results of the Experiments revealed that phishing awareness training has a significant positive effect on the ability of children using WhatsApp to identify phishing messages and thereby avoid attacks.