• Journal of the HCI Society of Korea
• /
• v.13 no.3
• /
• pp.43-53
• /
• 2018

Facebook, which has the largest number of users worldwide, has both positive and negative effects on our lives and society. The positive effects include social support from others, relationship building, entertainment, etc. In contrast, Facebook users also experience negative emotions such as tiredness and irritation, resulting in dissatisfaction as well as withdrawal from Facebook. The current study investigates both positive and negative effects of the use of by different demographic characteristics (i.e., age and gender), Facebook usage pattern (i.e., posters vs. lurkers), and Facebook usage time and frequency. The results show that (1) female users (vs. male users) feel higher level of fatigue and display stronger intention to discontinue Facebook. Moreover, (2) posters (vs. lurkers) feel higher level of positive emotions and social support, and stronger intention to continue Facebook. Lastly, (3) heavy users (vs. light users) exhibit higher level of positive emotions and stronger intentions to continue Facebook. This research sheds light on the fact that the characteristics of users affect individuals' intention to discontinue SNS and offers practical implications on the ever-expanding SNS market.

• Journal of the Institute of Convergence Signal Processing
• /
• v.24 no.3
• /
• pp.160-165
• /
• 2023

In this study, we propose an SNS sentence writing assistance system that utilizes YOLO and GPT to assist users in writing texts with images, such as SNS. We utilize the YOLO model to extract objects from images inserted during writing, and also extract meta-information such as GPS information and creation time information, and use them as prompt values for GPT. To use the YOLO model, we trained it on form image data, and the mAP score of the model is about 0.25 on average. GPT was trained on 1,000 blog text data with the topic of 'restaurant reviews', and the model trained in this study was used to generate sentences with two types of keywords extracted from the images. A survey was conducted to evaluate the practicality of the generated sentences, and a closed-ended survey was conducted to clearly analyze the survey results. There were three evaluation items for the questionnaire by providing the inserted image and keyword sentences. The results showed that the keywords in the images generated meaningful sentences. Through this study, we found that the accuracy of image-based sentence generation depends on the relationship between image keywords and GPT learning contents.

• The Journal of the Korea Contents Association
• /
• v.14 no.10
• /
• pp.741-753
• /
• 2014

The objective of the study is to explore how to influence SNS's characteristics on attitude formation toward jewelry product and online shopping mall. SNS's characteristics are contextuality, responsiveness, social presence, and interaction as independent variables. Consumer satisfaction, worth of mouth and purchase intention are considered as dependent variables. Data were collected from a survey of 317 consumers who have experience to purchase jewelry product to examine their attitude toward SNSs, jewelry product, and online shopping mall from November 1 to November 15 2013. In order to test hypotheses, CFA analysis with covariance structure analysis was conducted using EQS6b. SNS's users have a tendency to perceive SNSs as bridge to connect other people and to get new information as well as they are willing to feel familiarity on SNSs. Users, who have a higher contextuality, responsiveness, social presence, and interaction of SNS's characteristics, are willing to have word of mouth intention of jewelry product as well as have high satisfaction. The study found that interaction is not effect on consumer satisfaction because interaction factor is to evaluate SNSs as one of the media.

• Spatial Information Research
• /
• v.23 no.2
• /
• pp.69-81
• /
• 2015

If one can infer the residential area of SNS users by analyzing the SNS big data, it can be an alternative by replacing the spatial big data researches which result from the location sparsity and ecological error. In this study, we developed the way of utilizing the daily life activity pattern, which can be found from timeline data of tweet users, to infer the residential areas of tweet users. We recognized the daily life activity pattern of tweet users from user's movement pattern and the regional cognition words that users text in tweet. The models based on user's movement and text are named as the daily movement pattern model and the daily activity field model, respectively. And then we selected the variables which are going to be utilized in each model. We defined the dependent variables as 0, if the residential areas that users tweet mainly are their home location(HL) and as 1, vice versa. According to our results, performed by the discriminant analysis, the hit ratio of the two models was 67.5%, 57.5% respectively. We tested both models by using the timeline data of the stress-related tweets. As a result, we inferred the residential areas of 5,301 users out of 48,235 users and could obtain 9,606 stress-related tweets with residential area. The results shows about 44 times increase by comparing to the geo-tagged tweets counts. We think that the methodology we have used in this study can be used not only to secure more location data in the study of SNS big data, but also to link the SNS big data with regional statistics in order to analyze the regional phenomenon.

• Journal of the Korean Applied Science and Technology
• /
• v.38 no.4
• /
• pp.1070-1080
• /
• 2021

This study is a descriptive survey research on social network service addiction tendency and interpersonal relationships on college life adaptation among nursing students. The study period was from October 1 to 4, 2019, the survey was conducted for 228 first and third year nursing students located in G city. The collected data were analyzed with the SPSS 23.0 program using descriptive statistics, ANOVA, Pearson correlation coefficients, and multiple regression. The results of the study showed that there were differences in the subjects' college life adaptation depending on their gender (t=5.26, p<.001), daily average duration of using social network service (F=8.07, p<.001), and friends in real life (F=2.87, p=.037). College life adaptation had a significant correlation with social network service addiction tendency (r=-.31, p<.001) and interpersonal relationships (r=.52, p<.001), and social network service addiction tendency with interpersonal relationships had a significant correlation (r=-.17, p=.011). Factors that affected college life adaptation included interpersonal relationships (𝛽=.477, p<.001), gender (𝛽=-.198, p=.001), and daily average duration of using social network service (𝛽=-.177, p=.003), and the explanatory power of these factors was 37.8%. Based on the results of this study, it is thought that it is necessary to develop a program for a positive interpersonal relationship formation using social network service in order to improve the college life adaptation of nursing students.

• Information Systems Review
• /
• v.24 no.4
• /
• pp.55-76
• /
• 2022

People have adopted Social Networking Sites (SNSs) as a part of their daily lives. When a person uses SNSs, (s)he intentionally or unintentionally discloses her/his personal information. Although using SNSs can provide benefits to a person such as maintaining relationships with people who does not see often, it also opens a dark side. Someone can use one's disclosed information without the acknowledgement of the information owner. It is called a privacy intrusion on SNSs, which has become a social problem and needs attention. This study examined factors affecting privacy intrusion intention on SNSs. This study classifies privacy intrusions into passive intrusion (collector) and active intrusion (distributor). The results reveal that low ethical consciousness positively affects enjoyment in both of collecting and distributing someone's personal information on SNSs. A person who has the low ethical consciousness also tends to raise her/his curiosity of collecting someone's private information on SNSs. Apart from low ethical consciousness, this study discloses how enjoyment, curiosity, experience of being a victim of privacy intrusion, experience of intruding others' privacies, and self-efficacy of collecting or distributing others' private information are related to passive or/and active privacy intrusion on SNSs with survey data.

• The Journal of Society for e-Business Studies
• /
• v.16 no.1
• /
• pp.1-15
• /
• 2011

The new environment of music service has brought changes in digital music industry. Today, various forms of music contents are presented in ubiquitous environments. Thus, securing various contents becomes very important in monopolistic competition of music market. Under the circumstance, web 2.0 provides a networking environment to form diverse relations. Social Network Service (SNS) is a service to emphasize people relation and is different from information-centered Internet service. And mobile SNS becomes popular as Smartphone rapidly increases. NeowizBugs merged with NeowizInternet managing Sayclub of a music-specified SNS site. And the firm confirms comprehensive contents by making ties with SM entertainment. Thus, the integration corporation secures and manages a new business model by linking digital contents with SNS. Generally, music-specified SNS has advertisement business model and uses a recommend system utilizing the database of users. By introducing the case of NeowizBugs, this study tries to identify the success strategy of music distributors fitting ubiquitous environment including web 2.0, mobile SNS, Smartphone, etc.

• The Journal of Bigdata
• /
• v.2 no.1
• /
• pp.27-39
• /
• 2017

The importance of online communication is getting increased by the rapid growth of smartphone supply and Social Network Service (SNS) use. Catching up with the trend, firms are actively use SNS to improve brand image, promote products, and communicate with customer. On the one hand, SNS is the channel for firms' marketing activities, but on the other, it is also the channel where the events related to the firms propagate in real time. Firms are led to unexpected state of crisis, when events are quickly spread out on SNS. Then firms are assessed their image by the way they deal with the state of crisis. This paper proposes to figure out user response on SNS according to each crisis response strategies by analyzing event-related twitter data when crisis situations of firms arise. We classify crisis response strategies into response attitude, defensive and accommodative response, and response speed, fast and slow response. This paper suggests optimal crisis response strategy to firms regarding state of crisis propagated on SNS.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.23 no.6
• /
• pp.1199-1206
• /
• 2013

SNS is relationship based service and its users are increasing rapidly because it can be used in variety forms as penetration rate of Smartphone increased. Accordingly personal information can be exposed easily and spread rapidly in SNS so self-control on information management, right to control open and distribution of own personal information is necessary. This research suggest way of measuring personal information leaking risk factor through personal information leaking possible territory's, based on property value and relationship of personal information in SNS, personal information exposure frequency and access rate. Suggested method expects to used in strengthening self-control on information management right by arousing attention of personal information exposure to SNS users.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.16 no.10
• /
• pp.2309-2315
• /
• 2012

The objective of this research is to suggest how to keep the continuous customers and how to build business model and marketing strategy. In detail, this research aims to closely examine the relationship among SNS quality(service quality, information quality, system quality) for airline customers, relational benefit(social benefits, psychological benefit, customization benefit, economic benefit) and customer satisfaction. As a result, if SNS quality is getting better, relational benefit better is higher. Specifically service information quality is more impactive to relational benefit than system quality. The effect of psychological customization benefits from SNS quality is the strongest to customer satisfaction of all factors. To conclude, the results of this research can be the guideline when designing marketing strategies for airline customers and for traditional tourism customers who use SNS.