• Asia pacific journal of information systems
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• v.25 no.2
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• pp.337-355
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• 2015

The Internet has become one of the most important channels for people to communicate and for companies to implement their sales promotion activities, such as advertising. Marketing and advertising attempt to influence customers' attitude to persuade them to choose to buy the advertisers' products instead of the competitors'. With the different forms of online marketing, such as search engine marketing, email marketing, and mobile marketing, advertisers can find more effective strategies to attract the attention of more targeted audiences. With the emergence of the social web (web 2.0), a new platform was introduced called social networks. This paper presents the current work in internet marketing activities until web 2.0, and conducts a social network analysis to aid in data extraction. Marketing and advertising companies have understood the power of information for a very long time. The more knowledge these companies have on the demographics, consumer habits, and preferences of particular customer types, the more they can tailor their product offerings, and the more sales they can make. This paper aims to understand the internet marketing concepts as well as present challenges and work directions in internet marketing.

• Journal of Information Science Theory and Practice
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• v.11 no.1
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• pp.1-13
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• 2023

This study determines how social media users (SMUs) verify the information they come across on the Internet. It determines SMUs' perception of online fact-checking services in terms of their ease of use, usefulness, and trust. By conducting a focus group discussion and key informant interviews, themes were derived in determining fact-checking practices while a survey was further conducted to determine such perceived ease of use, usefulness, and trust in fact-checking services. The thematic analysis revealed major information verification practices, such as cross-checking and verifying with other sources, inspecting comments and reactions, and confirming from personal and social networks. The results showed that SMUs considered fact-checking services easy to use. However, a concern was raised about their usefulness stemming from the delayed action in addressing the information issues that need to be verified. As to perceived trust, it was found that SMUs have reservations about fact-checking services. Finally, it is believed that fact-checking services are expected to be credible and need to be promoted to mitigate any form of fake news, particularly on social media platforms.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.54-60
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• 2020

Online cybercrime has various causes. The criminal guilty language, Criminal lingo is active in the shaded area with the bilateral aspect of the word on cyber. It has been continuously producing massive risk factors in cyberspace. Criminals are shared and disseminated online. It has been linked with fake news and aids to suicide that has recently become an issue. Thus the criminal lingo has become a real danger factor on cyber interface. Recently, Criminal lingo is shared and distributed as cyber hazard information. It is transformed that damaging to the youth and ordinary people through the internet and social networks. In order to take action, it is necessary to construct an expert system based on AI to implement a smart management architecture with block-chain technology. In this paper, we study technically a new smart management architecture which uses artificial intelligence based decision algorithm and block-chain tracking technology to prevent the spread of criminal lingo factors in the evolving cyber world. In addition, through the off-line regular patrol program of police units, we proposed the conversion of online regular patrol program for "cyber harem area".

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.294-301
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• 2017

Recently, online social networks have become one of the most representative Internet services and are being used increasingly, which allows people to share information and interact with other people. On the other hand, as the use of OSN is increased, there has been an increased incidence where illegally accessed personal information is used wrongfully. Accordingly, privacy has become a key concern by the users. Regarding the construct of information privacy concerns (IPC), this study explored the antecedents of IPC at the individual personal level - risk appraisal and perceived behavioral control - based on Protection Motivation Theory. Hence, the current paper investigated the moderating effect of gender in the relationship between individual characteristics and IPC. The hypothesized research model was examined with 233 questionnaires of OSN users. The results showed that the positive effects of risk appraisal and the negative effects of perceived behavioral control on IPC are supported. In addition, the moderate effects of gender between risk appraisal and IPC is only supported.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.1
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• pp.63-77
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• 2015

As social network service(SNS) environments have been changed and increased, people perceive SNSs as a part of their daily lives. Therefore mutual communication activities based on the Internet and its influences are expanding continuously. This paper explored the difference between consumers' emotional well-being level and social capital formed through SNSs. Given that the reason of using SNS and its utilization can be different depending on consumers, this paper also examines generation differences. Hence, we examine how the forms of emotional well-being and social capital in SNSs can be different according to each generation. We conducted a survey targeting the consumers who have an experience of using online SNS and looked into the effects of emotional well-being and social capital among generations using eighty three valid samples. In this study, we find that there are differences on the effects of the sizes and the types of social capital formed through SNS, depending on the generations. In particular, the size of social capital from younger generation was larger compared to the older generation and bridging social capital, one of social capital types, was also bigger in the younger generation compared to the older generation. Although general emotional well-being was not differentiated among the generations, we could find a generation difference by showing that older generation's negative well-being, one of emotional well-being types, was more sensitive than younger generation. Based on such results, this paper proposes SNS utilization plan sub-divided by generations, suggesting management direction of online social networks.

• The Journal of Information Systems
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• v.24 no.1
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• pp.67-94
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• 2015

Recently, the popularity of Social Network Service (SNS) along with the spread of smart phone, personal computer and tablet PC helps personal network to construct new forms of services in cyberspace. As such, SNS plays a significant role in constructing diverse online networks and there is a growing interest on SNS at societal level. In this vein, the purpose of the research was to find the factors affecting the continuance intention to use social network services. The major findings are summarized as follows. First, "System Quality", "Contents Quality", "Personal Innovativeness", "Self-Efficiency", "Honor Benefit" has significant effects on "Relationship Quality". Yet, "Economic Benefit" is not statistically significant on "Relationship Quality". Second, "Relationship Quality" has a significant effect on "Continuous Usage Intention". Last, our research discovered the relationship between exogenous variables which would serve as valuable inputs in the development of strategic guideline and plan for SNS companies and related services.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.49-65
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• 2014

Word of Mouth (WOM) is a behavior used by consumers to transfer or communicate their product or service experience to other consumers. Due to the popularity of social media such as Facebook, Twitter, blogs, and online communities, electronic WOM (e-WOM) has become important to the success of products or services. As a result, most enterprises pay close attention to e-WOM for their products or services. This is especially important for movies, as these are experiential products. This paper aims to identify the network factors of an online movie community that impact box office revenue using social network analysis. In addition to traditional WOM factors (volume and valence of WOM), network centrality measures of the online community are included as influential factors in box office revenue. Based on previous research results, we develop five hypotheses on the relationships between potential influential factors (WOM volume, WOM valence, degree centrality, betweenness centrality, closeness centrality) and box office revenue. The first hypothesis is that the accumulated volume of WOM in online product communities is positively related to the total revenue of movies. The second hypothesis is that the accumulated valence of WOM in online product communities is positively related to the total revenue of movies. The third hypothesis is that the average of degree centralities of reviewers in online product communities is positively related to the total revenue of movies. The fourth hypothesis is that the average of betweenness centralities of reviewers in online product communities is positively related to the total revenue of movies. The fifth hypothesis is that the average of betweenness centralities of reviewers in online product communities is positively related to the total revenue of movies. To verify our research model, we collect movie review data from the Internet Movie Database (IMDb), which is a representative online movie community, and movie revenue data from the Box-Office-Mojo website. The movies in this analysis include weekly top-10 movies from September 1, 2012, to September 1, 2013, with in total. We collect movie metadata such as screening periods and user ratings; and community data in IMDb including reviewer identification, review content, review times, responder identification, reply content, reply times, and reply relationships. For the same period, the revenue data from Box-Office-Mojo is collected on a weekly basis. Movie community networks are constructed based on reply relationships between reviewers. Using a social network analysis tool, NodeXL, we calculate the averages of three centralities including degree, betweenness, and closeness centrality for each movie. Correlation analysis of focal variables and the dependent variable (final revenue) shows that three centrality measures are highly correlated, prompting us to perform multiple regressions separately with each centrality measure. Consistent with previous research results, our regression analysis results show that the volume and valence of WOM are positively related to the final box office revenue of movies. Moreover, the averages of betweenness centralities from initial community networks impact the final movie revenues. However, both of the averages of degree centralities and closeness centralities do not influence final movie performance. Based on the regression results, three hypotheses, 1, 2, and 4, are accepted, and two hypotheses, 3 and 5, are rejected. This study tries to link the network structure of e-WOM on online product communities with the product's performance. Based on the analysis of a real online movie community, the results show that online community network structures can work as a predictor of movie performance. The results show that the betweenness centralities of the reviewer community are critical for the prediction of movie performance. However, degree centralities and closeness centralities do not influence movie performance. As future research topics, similar analyses are required for other product categories such as electronic goods and online content to generalize the study results.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.451-458
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• 2022

This article is devoted to the problem of national and patriotic education of young students by means of digital technologies in the conditions of distance learning environment. It is emphasized that national and patriotic education is a powerful means of strengthening the unity and integrity of Ukraine. It is proved that national and patriotic education will be effective under the condition of systematic and purposeful activity on formation of patriotic consciousness in youth, sense of national dignity, necessity of service of ideals and values of the country. Various forms of educational work of national and patriotic orientation at Pavlo Tychyna Uman State Pedagogical University, which were conducted by digital technologies: online thematic lectures, educational classes, round tables, workshops, guest online meetings with famous researchers of historical heritage of Ukraine, online tours of historical places, virtual exhibitions of art, participation in the national-patriotic student camp "Diia" (Action) and etc. The activity of the University Library and V. O. Sukhomlinsky State Scientific and Pedagogical Library of Ukraine of the National Academy of Pedagogical Sciences of Ukraine, which has a significant impact on the formation of national consciousness and social and political activity of students by modern means of information and communication technologies. It is determined that the project "Inclusive 3D map" helps to broaden the horizons and deepen the knowledge of young students, education of a true citizen, the formation of cognitive interest in the subjects studied, motivation to study, raising awareness of Ukrainians on historical and cultural heritage. The study showed that young students take an active social attitude: they speak Ukrainian, want to live and work in Ukraine, respect their homeland, its traditions, cultural and historical past, love to travel and they are tolerant of people with special needs. Promising areas of educational work with students based on the use of a wide range of information and communication technologies, namely 3D games, TV tandems, podcasts, social networks, video resources in national and patriotic education of youth.

• Journal of KIISE
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• v.44 no.7
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• pp.680-685
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• 2017

The emergence of online media and their data has enabled data-driven methods to solve challenging and complex tasks such as rumor classification problems. Recently, deep learning based models have been shown as one of the fastest and the most accurate algorithms to solve such problems. These new models, however, either rely on complete data or several days-worth of data, limiting their applicability in real time. In this study, we go beyond this limit and test the possibility of super early rumor detection via recurrent neural networks (RNNs). Our model takes in social media streams as time series input, along with basic meta-information about the rumongers including the follower count and the psycholinguistic traits of rumor content itself. Based on analyzing millions of social media posts on 498 real rumors and 494 non-rumor events, our RNN-based model detected rumors with only 30 initial posts (i.e., within a few hours of rumor circulation) with remarkable F1 score of 0.74. This finding widens the scope of new possibilities for building a fast and efficient rumor detection system.

• Health Communication
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• v.12 no.1
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• pp.51-72
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• 2017

Purpose: Adolescents use emoticons to express their emotions in an online environment. Hence, medical experts can understand the emotions of adolescents by emoticons. The goal of this study was to investigate the relationship between various emotions and emoticons among the Korean adolescents. Methods: The questionnaire survey was conducted between September 1 and 30, 2014, involving 3,272 students in elementary schools, middle schools, and high schools affiliated in the Department of Education of the metropolitan city of Busan. A total of 1,717 students responded to the survey. The participants consisted of 806 males (46.9%), and 911 females (53.1%). Among these, there were 557 elementary school students (32.4%), 617 middle school students (35.9%), and 543 high school students (31.6%). A social networking analysis was conducted using NodeXL. Results: The frequency of emoticon use among adolescents runs in the order of joy, sadness, fear, surprise, anger, disgust, and then depression. Elementary school females mainly use emoticons to express joy; middle school females use emoticons to express sadness, surprise, anger, disgust, and depression; and high school females use emoticons to express fear. Age- and gender-specific emoticon networks were visualized by using the Haren-Korel fast multiscale algorithm. Commonly used emoticons by age and gender were expressed in the networks. Results of age- and gender-specific emoticon networks visualization show similar results of centrality of seven emoticons. Conclusion: In the digital communication environment, emoticons could be used to catch the emotions of adolescents in Korea.