• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.2
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• pp.213-221
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• 2013

According to the rapid growth of the number of SNS(Social Networking Service) applications based on Android OS, the importance of its security is also raised. Especially, many applications using KaKaoTalk platform has been released in these days, and these are top ranked in the relative markets. However, security issues on SNS applications have not been resolved clearly. Therefore, it is crucial to provide means to cope with the security threats posed by code-segment modification in the development stage of Android OS based SNS applications. In this paper, we analyze the security threats by modifying SNS application code segments and suggest effective security techniques.

• Korean Security Journal
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• no.46
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• pp.7-30
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• 2016

This study found the strategies for activating the security industry to utilize social network services based on the platform business model. This research was utilized for in-depth interview and IPA analysis. And use it was to check the contents and strategic improvement projects that can actually materialize and direction of the strategy. First, run a priority need area is a private center of community policing related portal development and operation, universal social networking service(SNS) utilizing expanded, professional training, IT-based security content management and operation of IT infrastructure security guards and security professionals up educational content development, online security guards and security professionals-up refresher training program development. Second, the area over the inventory capabilities increase the effectiveness of the security guards was constructed open-type comprehensive public information system. Third, the area needed to be reviewed are the individual security industry experts workers operating information channels, dedicated customer service and expanding the event of a private security guard & security service providers up. Fourth, the effectiveness of the insufficient area are discuss system improvements, the sharing of community policing closed Cameras for proposals for the expanded utilization of social networking services, private development organizations Social Network Service(SNS).

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.391-406
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• 2015

As the individual participation in online news sites proliferates, the importance of online news comments has been increasing. Social comment services which help people leave comments on news articles using their own SNS (social networking site) accounts have gained popularity recently. Using data gathered from an online news site, this study, therefore, (1) identifies factors differentiating social comments from general comments, (2) examines how social comments are significantly different from general comments in terms of each factor, (3) and further validates how the social comments' characteristics vary among different type of SNS. Then, we investigated this study by applying t-test, ANOVA, and Duncan test of SPSS Statistics. Our results provide insights on the significant differences in all the factors between general and social comments. We also found that there is a significant difference between Facebook and Twitter groups among three types of SNS. The findings of this study would help assess the actual benefit of social comment services as they may provide us with several valuable leads to solve the malicious comments issue. Moreover, they would suggest the need to apply this service to other areas, such as online environments in private and public sectors.

• Journal of Information Science Theory and Practice
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• v.9 no.1
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• pp.79-89
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• 2021

This study explores Facebook use in Vietnamese academic libraries by analysing libraries' posts on their Facebook pages and library users' interaction with those posts. A total of 260 posts on four academic libraries' Facebook pages were examined using the content analysis method. The findings reveal that Facebook was mainly used to encourage reading and to transmit announcements. Most of the academic libraries published one post a week. The photo was the most frequent media type of libraries' posts and gained a higher level of interaction than other posts. According to the research results, the user engagement was low, and the user interaction with libraries' posts generally was in the form of reaction. The findings can help better understand Facebook use in Vietnamese academic libraries and may assist libraries in creating a plan for using Facebook more effectively.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.155-166
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• 2018

These days, online media, such as blogospheres, online communities, and social networking sites, provides the uncountable user-generated content (UGC) to discover market intelligence and business insight with. The business has been interested in consumers, and constantly requires the approach to identify consumers' opinions and competitive advantage in the competing market. Analyzing consumers' opinion about oneself and rivals can help decision makers to gain in-depth and fine-grained understanding on the human and social behavioral dynamics underlying the competition. In order to accomplish the comparison study for rival products and companies, we attempted to do competitive analysis using text mining with online UGC for two popular and competing ramens, a market leader and a market follower, in the Korean instant noodle market. Furthermore, to overcome the lack of the Korean sentiment lexicon, we developed the domain specific sentiment dictionary of Korean texts. We gathered 19,386 pieces of blogs and forum messages, developed the Korean sentiment dictionary, and defined the taxonomy for categorization. In the context of our study, we employed sentiment analysis to present consumers' opinion and statistical analysis to demonstrate the differences between the competitors. Our results show that the sentiment portrayed by the text mining clearly differentiate the two rival noodles and convincingly confirm that one is a market leader and the other is a follower. In this regard, we expect this comparison can help business decision makers to understand rich in-depth competitive intelligence hidden in the social media.

• The Korean Journal of Health Service Management
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• v.14 no.2
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• pp.79-91
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• 2020

Objectives: The purpose of this study was to identify a regional difference among drinking behaviors, sober motivation, and drinking problems. Methods: The subjects included 600 citizens living in two regions, Busan. Descriptive analysis, t-test, correlation, and path analysis were used to confirm the regional difference. Results: The path of drinking method on sober motivation was statistically significant in both regions and drinking attitude was found to be a common factor that weakens an individual's sober motivation. Besides, the path of social networking on sober motivation had a difference in statistical significance between the two regions. Finally, the influence of social networks of District N (comparison region) on sober motivation was statistically significant and stronger than that of District D. Conclusions: A social environment-centered intervention to address drinking problems is essential in District N because of its people's tendency to drink together. On the other hand, an individual-focused intervention is preferred in District D where sober motivation is mainly affected by drinking method and attitude.

• Journal of the Korean Home Economics Association
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• v.47 no.6
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• pp.21-38
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• 2009

This study examined the resilience factors of multi-cultural families using depth interviews. Thirty-one multi-cultural families(totaling 98 individuals) were interviewed on a range of issues, including the process of marriage, the attitude of international marriage, family relations, social networks, the process of social adaptation, and their needs for specific social services. The resilience theory was used to categorize resilience factors, multi-cultural families. Analysis of results from depth interviews identified three broad resilience factors. The first was related to for belief systems which included 'family's common goal', The second was related to family functioning systems which included 'family cohesion', 'family adaptability', and 'satisfaction for role-expectation'. The third was related to social networking which included 'satisfaction from social activities'. These resilience factors helped multi-cultural families cope with stressful events and risk situations related to every day life. Results from this study imply that multi-cultural families possess the abilities to lead a meaningful and healthy life-style regardless of obstacles such as communication difficulties, cultural differences, and societal stigma.

• The Korean Journal of Health Service Management
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• v.9 no.3
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• pp.187-199
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• 2015

Objectives : This study was conducted to examine social factors associated with problematic drinking among middle- and older-aged men in South Korea. Methods : The data were collected from the baseline survey of the Korean Longitudinal Study of Aging, and the sample consisted of 3,631 men between 45 and 64 years of age and 1,173 men aged 65 or older. This study employed variables identifying various socioeconomic features, social ties, and health-related factors. Logistic regressions were used for the data analysis. Results : Middle-aged men having frequent social relationship with close persons were significantly more likely to be problematic drinkers than those having less frequent social relationships with close persons. Lower education, unemployment, smoking, and depression were associated with problematic drinking only among middle-aged men. Conclusions : We suggest that health professionals develop specific intervention strategies that could lead to more moderate alcohol habits and better health in middle aged Korean men who are actively engaged in social networks. In addition, health professionals need to focus more on the unemployed, lower educated, depressed, and smoking groups for early detection of problematic drinking among middle-aged Korean men.

• Information Systems Review
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• v.20 no.3
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• pp.73-92
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• 2018

Many users are uploading their daily life activities on SNS and use hashtags to describe their postings. Hashtag has the advantage of letting users specify categories for their postings, however until now, the users has had to manually input the hashtags which has been very inconvenient for them. Therefore, in order to address this issue, this paper proposes a hashtag recommender system which recommends proper hashtags to users based on their uploaded images on SNS. The proposed system is designed using four analytic structures, which is composed of a camera information-based analysis, an address-based analysis, a location based CF analysis, and an image-based analysis. In order to check whether the proposed system is improved compared to the existing systems in terms of the hashtag recommendation function, we conducted an evaluation with 212 SNS users from fifteen countries. As a result of the evaluation process, the proposed system shows very high accuracy recommendation results compared to the existing hashtag recommender systems.

• International Journal of Computer Science & Network Security
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• v.23 no.1
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• pp.112-119
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• 2023

Traditionally used for networking computers and communications, the Internet has been evolving from the beginning. Internet is the backbone for many things on the web including social media. The concept of social networking which started in the early 1990s has also been growing with the internet. Social Networking Sites (SNSs) sprung and stayed back to an important element of internet usage mainly due to the services or provisions they allow on the web. Twitter and Facebook have become the primary means by which most individuals keep in touch with others and carry on substantive conversations. These sites allow the posting of photos, videos and support audio and video storage on the sites which can be shared amongst users. Although an attractive option, these provisions have also culminated in issues for these sites like posting offensive material. Though not always, users of SNSs have their share in promoting hate by their words or speeches which is difficult to be curtailed after being uploaded in the media. Hence, this article outlines a process for extracting user reviews from the Twitter corpus in order to identify instances of hate speech. Through the use of MPCA (Modified Principal Component Analysis) and ECNN, we are able to identify instances of hate speech in the text (Enhanced Convolutional Neural Network). With the use of NLP, a fully autonomous system for assessing syntax and meaning can be established (NLP). There is a strong emphasis on pre-processing, feature extraction, and classification. Cleansing the text by removing extra spaces, punctuation, and stop words is what normalization is all about. In the process of extracting features, these features that have already been processed are used. During the feature extraction process, the MPCA algorithm is used. It takes a set of related features and pulls out the ones that tell us the most about the dataset we give itThe proposed categorization method is then put forth as a means of detecting instances of hate speech or abusive language. It is argued that ECNN is superior to other methods for identifying hateful content online. It can take in massive amounts of data and quickly return accurate results, especially for larger datasets. As a result, the proposed MPCA+ECNN algorithm improves not only the F-measure values, but also the accuracy, precision, and recall.