• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.11
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• pp.2966-2986
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• 2023

Climate change is a constant threat to human life, and it is important to understand the public perception of this issue. Previous studies examining climate change have been based on limited survey data. In this study, the authors used big data such as news articles and social media data, within which the authors selected specific keywords related to climate change. Using these natural language data, topic modeling was performed for discourse analysis regarding climate change based on various topics. In addition, before applying topic modeling, sentiment analysis was adjusted to discover the differences between discourses on climate change. Through this approach, discourses of positive and negative tendencies were classified. As a result, it was possible to identify the tendency of each document by extracting key words for the classified discourse. This study aims to prove that topic modeling is a useful methodology for exploring discourse on platforms with big data. Moreover, the reliability of the study was increased by performing topic modeling in consideration of objective indicators (i.e., coherence score, perplexity). Theoretically, based on the social amplification of risk framework (SARF), this study demonstrates that the diffusion of the agenda of climate change in public news media leads to personal anxiety and fear on social media.

• Asia pacific journal of information systems
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• v.34 no.1
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• pp.91-113
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• 2024

In the wake of the COVID-19 pandemic, unsubstantiated information concerning vaccines and the coronavirus has proliferated on various social media platforms. Consequently, we have considered viable actions to mitigate the impact of such unverified content, enabling individuals to use social media platforms more effectively and minimize any ensuing confusion. Recent measures in this area have included YouTube's practice of labeling vaccine or corona videos as authoritative when emanating from reputable organizations and Twitter's practice of flagging vaccine-related content as potentially misleading or taken out of context. This study seeks to explore how such contrasting labeling practices influence users' believability and engagement differentially, while also examining the moderating impact of regulatory focus. The results indicate that authoritative labeling positively influenced users' believability and engagement, whereas misleading labeling adversely affected users' believability and engagement. Additionally, our findings revealed that authoritative labeling has a stronger impact on promotion-focused individuals, while misleading labeling has a more pronounced effect on prevention-focused individuals. Our findings offer insights into how social media platforms can design and present information to their users, taking into account their regulatory focus.

• Management & Information Systems Review
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• v.29 no.4
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• pp.89-108
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• 2010

Social Network Service(SNS) indicates the service to promote mutual friendship built in online focused on social relation between people. While a demand and concern of the service gets higher now more than ever, there are a lack of the approach in aspect of both technology and service still. 'Facebook' is the most famous in the world and the biggest in user number among various social network service. We investigate the key factors of 'Facebook' based on the side of approach both technology and service. We observe the behavior of users who have rich experience on using the social network service to find it. The result of this study reveals that an asynchronous method related to the technology drive to improve a sociality in social media. Furthermore, we find that openness connected with the technology force to intent the closed attribute in service through user observation. It is the unique qualities social media holds. The successful social network service can be expected if social media are developed to concern these factors.

• Journal of Fashion Business
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• v.22 no.4
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• pp.20-29
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• 2018

Today, visitors of art galleries like to share their life in their communities than interacting with artwork. Meantime, image sharing of an exhibition on social media has become more important than actual watching of the artwork. Accordingly, most of the galleries have started paying more attention in organizing an exhibition environment for proof-shots to attract more visitors. We initially conducted research about the internet environment from the late 1990s to the recent years and analyzed the changing watching patterns of the exhibition since the advent of social media. Secondly, for empirical case analysis, we selected 'Plastic Fantastic' held in D-Museum as the target of analysis. The analysis targeted 500 recent postings that were discovered on Instagram on March 4, 2018, as 'Plastic-Fantastic'(in Korean). The methods of analysis included classification types of image, hashtag, and text on Instagram and were arranged in an order of relation to the exhibits. Based on the image analysis, 44.2% of the images involved exhibition displays; the others included a person or other goods. Based on the results of the text and hashtag analysis, only 3.6% of posting included information about the exhibition and 56.4% had non-related inflow hashtags only with image. The behavior of these shares is likely to gradually lose the inherent meaning of the exhibition and to the value rather than imparting the artistic thrill that viewers derive from art. Exhibition should try to seek deep interaction between the display, audience, and social media users, rather than encouraging the visitors to take proof-shots.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.11
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• pp.2827-2848
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• 2012

Previously, we described a social media cloud computing service environment (SMCCSE). This SMCCSE supports the development of social networking services (SNSs) that include audio, image, and video formats. A social media cloud computing PaaS platform, a core component in a SMCCSE, processes large amounts of social media in a parallel and distributed manner for supporting a reliable SNS. Here, we propose a Hadoop-based multimedia system for image and video transcoding processing, necessary functions of our PaaS platform. Our system consists of two modules, including an image transcoding module and a video transcoding module. We also design and implement the system by using a MapReduce framework running on a Hadoop Distributed File System (HDFS) and the media processing libraries Xuggler and JAI. In this way, our system exponentially reduces the encoding time for transcoding large amounts of image and video files into specific formats depending on user-requested options (such as resolution, bit rate, and frame rate). In order to evaluate system performance, we measure the total image and video transcoding time for image and video data sets, respectively, under various experimental conditions. In addition, we compare the video transcoding performance of our cloud-based approach with that of the traditional frame-level parallel processing-based approach. Based on experiments performed on a 28-node cluster, the proposed Hadoop-based multimedia transcoding system delivers excellent speed and quality.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.3
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• pp.49-61
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• 2020

This study analyzed the social media accounts and performed a Big Data analysis of Z-generation fashion using Textom Text Mining Techniques program and Ucinet Big Data analysis program. The research results are as follows: First, as a result of keyword analysis on 67.646 Z-generation fashion social media posts over the last 5 years, 220,211 keywords were extracted. Among them, 67 major keywords were selected based on the frequency of co-occurrence being greater than more than 250 times. As the top keywords appearing over 1000 times, were the most influential as the number of nodes connected to 'Z generation' (29595 times) are overwhelmingly, and was followed by 'millennials'(18536 times), 'fashion'(17836 times), and 'generation'(13055 times), 'brand'(8325 times) and 'trend'(7310 times) Second, as a result of the analysis of Network Degree Centrality between the key keywords for the Z-generation, the number of nodes connected to the "Z-generation" (29595 times) is overwhelmingly large. Next, many 'millennial'(18536 times), 'fashion'(17836 times), 'generation'(13055 times), 'brand'(8325 times), 'trend'(7310 times), etc. appear. These texts are considered to be important factors in exploring the reaction of social media to the Z-generation. Third, through the analysis of CONCOR, text with the structural equivalence between major keywords for Gen Z fashion was rearranged and clustered. In addition, four clusters were derived by grouping through network semantic network visualization. Group 1 is 54 texts, 'Diverse Characteristics of Z-Generation Fashion Consumers', Group 2 is 7 Texts, 'Z-Generation's teenagers Fashion Powers', Group 3 is 8 Texts, 'Z-Generation's Celebrity Fashions' Interest and Fashion', Group 4 named 'Gucci', the most popular luxury fashion of the Z-generation as one text.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.225-234
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• 2017

This study was conducted with male/female teenagers to examine the interaction between their attachment to social media and their self-identity in both real space and cyberspace. Among the subjects, male teenagers tended to use social media more than female teenagers. Also, the more friends/followers they have, the more they would use the service itself. In the subordinate correlation of the subjects' self-identity in both cyberspace and real space, most areas showed positive correlation. And each subregion of the areas of real-space ego-identity and social media addiction showed positive correlation with them as well. On the other hand, in areas of social media addiction and cyberspace ego-identity, all areas showed negative correlation except the area of dominance. Through this experiment, it was proven apparent that there needs to be proper management of teenagers that are overusing and are addicted to social media, and that programs should be developed to mediate the subjects in regards to each subregion of real space and cyberspace ego-identity.

• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.65-75
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• 2014

The main focus of this paper is to analyze trend of event informations in a variety of mass media by graphical visualization in axis of the time and location. Especially, continuity analysis based on user-generated social media can reflect the social impact of a certain event according to change time and location and their directional changes. To reveal the characteristics of continuous events, we survey the data set collected from news articles and tweets during two years. Based on case studies on 'disease' and 'leisure', we verify the effectiveness and usefulness of our proposed method. Even though some events occurred during same period, we showed directional changes which have high-impact in social media referred user interest's, compared with fact-based continuous visualization results.

• The Journal of the Korea Contents Association
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• v.12 no.1
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• pp.460-475
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• 2012

The relationship between Korean bank and customer are known as rigidity compare to other industry. The conservative organizational culture is often found in Korean banks. Today, Korean banks are facing dramatic change in digital world in that new wave in online intensifies the connectivity with bank customers and potentials. The introduction of social media would force to develop new marketing strategy in terms of the relationship oriented behavior. The case study presents the findings of a social media marketing strategy which was conducted in Industrial Bank of Korea in 2009-2011. More specifically, the study was designed to determine and evaluate the importance of social media marketing by retail bank in strategic instrument. Also it sets out to determine the perceived usefulness of the relationship oriented services offered by banks to their visitors and followers what these banks can do in order to improve bank services to improve competitive. Using the six relationship activity factors, the banks were examined in the study, a set of core activities (trusty worthy, empathy, shared value, emotional bonding, rich communication) are defined and described.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.426-438
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• 2016

The purpose of this study was to examine whether or not social media could have influence upon diplomatic activities and become effective means of diplomatic communication, focusing on the communication channel of public diplomacy. Study subjects were 301 foreigners from 42 countries in 7 continents, and influencing relationship among the fondness of social media-utilized public diplomacy cultural contents, country images and country brands was examined, together with its effectiveness. The results attained are as follows: First, all independent variable except interactivity and immediacy had significant influencing relationship with the fondness of public diplomacy cultural contents. Second, the fondness of public diplomacy cultural contents had significant influence upon country images, whereas country images had significant influence upon the fondness of country brands and the loyalty of country brands. Based on study findings, the influence of social media as effective means of communication of public of diplomacy policy in the 21st century was confirmed. In addition, This study contribute to expansion of public diplomacy research area from pre-exisiting study and provide basic information to future activities.