• Analyses & Alternatives
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• v.2 no.2
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• pp.31-66
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• 2018

This study investigates the mobilizing function of political agreement and disagreement in communition mediated by social media. Analyses of a survey found that reception of news consistent with individual political predispositions through social networking sites (SNS) positively related to political participation, whereas reception of counterattitudinal news was unrelated. Similarly, SNS- based discussion with politically agreeing others predicted political participation, whereas discussion with disagreeing people did not contribute to participation. Moreover, attitude-consistent news reception and agreement in political discussion had interactive influences, as the effects of attitude-consistent news on participation become stronger with increases in discussion with agreement. The results suggest that the mobilizing effects of social media mainly work through political agreement rather than disagreement in communication.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.6
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• pp.47-60
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• 2021

Since the outbreak of COVID-19 in 2019, the pandemic has been prolonged. This study compares and analyzes the degree of social media usage, the information type of posts (infectious disease information, promote action, psychological communication), and the level of user engagement in conducting crisis communication by country. We conduct text analysis by collecting information on Facebook and YouTube posts from January 2020 to March 2021 of disease control and prevention agencies in Korea, US, UK, and EU. As a result, the use of social media in Korea and US is higher than of the UK and EU, and all four countries are using social media as a means to provide infectious disease information and to promote action. Although social media can be a means to reach the public psychologically, such as sympathy and respect, there are no posts of psychological communication type on social media in countries other than the US. User engagement with posts is highest in the promotion action type. This study can help define the importance and role of social media in establishing an infectious disease crisis communication strategy.

• Design Convergence Study
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• v.14 no.4
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• pp.209-221
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• 2015

This study investigates in depth of the new marketing trend, in which social media, an effective marketing tool for promoting a new product, and gamification technic of engaging consumers in communication, are combined. Although gamification has been applied to various fields for a long time, conventional way of applying gamification is different from when it is combined with socialmedia. Therefore, this study examines the background and characteristics of the convergence phenomena between the social media and gamification based on the theoretical consideration of the social media and gamification. Then, the cases of social media marketing utilizing gamification are analyzed and classified into general participation, active participation, creative behavior, networking, and experiential type according to the user's different levels and ways of participation. As a result, when the social media and gamification are combined, the change of an aspect is found to be more meaningfully influential to today's consumers as in competition - achievement - relationship, compared to the conventional way of game mechanics. This study has significance in the way that it established a useful basis for the marketing strategy through the study of the new game mechanics that has been applied to social media marketing utilizing gamification.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.1-9
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• 2016

In accordance with the increased political and social utilization of social media, demands on online trend analysis and monitoring technologies based on social bigdata are also increasing rapidly. In this paper, we define 'risk' as issues which have probability of turn to negative public opinion among big social issues and classify their types in details. To define risk types, we conduct a complete survey on news documents and analyzed characteristics according to issue domains. We also investigate cross-medias analysis to find out how different public media and personalized social media. At the result, we define 58 risk types for 6 domains and developed automatic classification model based on machine learning algorithm. Based on empirical experiments, we prove the possibility of automatic detection for social issue risk in social media.

• Korean journal of communication and information
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• v.81
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• pp.299-328
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• 2017

This study investigated news comprehension via the social media by comparing the reading of a news story on the news paper. A news story on the social media was suggested to present information in a conversational form, which differs from a traditional reporting style. To compare the different forms of news information presentation, two conditions were created: in a control condition, a news story was written in a traditional reporting form. In the experimental condition, the same news story was constructed in a conversational form. Participants were assigned randomly in one of two conditions. They read the news story and afterwards, they were asked to recall firstly, the core idea of the news story, secondly the whole news story, and finally to answer to the 10 questions that assessed how well they learned from the news story. Participants' responses were content-analyzed and produced six variables, the extent to recall the core idea, the extent to recall the whole story, the extent to recall wrong information, the extent to recall additional information, the extent to recall causally related contents in general, and finally the extent to recall causally related contents in story-specific. Analyses on the six variables revealed that the group in the news paper condition recalled more core idea, the whole story, and additional information than the group in the social media. But the news paper condition recalled less of wrong information than the group in the social media condition. Additionally, the news paper condition learned more than the group in the social media. Regarding the recall of causally related contents, the general causal relationships were recalled more in the group in the social media condition but the story specific causal relationships were recalled more in the group in the news paper condition. The findings seemingly indicated that a traditional news reporting contributes to news story comprehension more than the conversational form. Authors however added discussions and advised that the findings needed to be read under caution.

• Journal of Digital Convergence
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• v.18 no.5
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• pp.233-247
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• 2020

The video content platform, which is a social media, is used as a means of producing various contents with high immersion, ease of use, and low production conditions. However, existing social media-related studies were insufficient to examine differences in existing information attributes despite the differences in platform types. Therefore, this study intends to examine the relationship between existing media and social media information attributes. The research model was analyzed by surveying 213 video content users. As a result of the research model analysis, information playability, information timeliness, and information provider reliability had a significant effect on information usefulness. However, information vividness, information accuracy, information neutrality, and professionalism of information providers did not have a significant effect. Through this study, the difference between video content and existing media or social media was found, and it was found that a reliable information provider should provide pleasant content at the right time. In addition, through the understanding of the information processing process of video content, which is a key player in the growth of social media, we believe that it will be very helpful in producing quality content.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.193-200
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• 2016

This study is focused on analyzing the tourism social media channel importance of Trytoursumer. On the basis of previous studies, the factors were divided into tourism communication, tourism cooperation, tourism contents sharing, tourism entertainment. As a result of the empirical analysis using AHP, Analytic Hierarchy Process, tourism communication relatively appeared as the most important factor. And order showed that the high importance of such tourism content sharing, tourism entertainment, tourism cooperation. Also, there was the highest priority of social networking in the area of tourism communication among 14 types of total evaluation factors regarding priority, followed by social news in the area of tourism cooperation, and micro-blog in the area of tourism communication. Analysis result, may contribute to the increase of social media channels effectiveness and strategy of application in social media channel of Trytoursumer.

• Smart Media Journal
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• v.6 no.3
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• pp.41-48
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• 2017

Event detection using social media has been widespread since social network services have been an active communication channel for connecting with others, diffusing news message. Especially, the real-time characteristic of social media has created the opportunity for supporting for real-time applications/systems. Social network such as Twitter is the potential data source to explore useful information by mining messages posted by the user community. This paper proposed a novel system for temporal event detection by analyzing social data. As a result, this information can be used by first responders, decision makers, or news agents to gain insight of the situation. The proposed approach takes advantages of deep learning methods that play core techniques on the main tasks including informative data identifying from a noisy environment and temporal event detection. The former is the responsibility of Convolutional Neural Network model trained from labeled Twitter data. The latter is for event detection supported by Recurrent Neural Network module. We demonstrated our approach and experimental results on the case study of earthquake situations. Our system is more adaptive than other systems used traditional methods since deep learning enables to extract the features of data without spending lots of time constructing feature by hand. This benefit makes our approach adaptive to extend to a new context of practice. Moreover, the proposed system promised to respond to acceptable delay within several minutes that will helpful mean for supporting news channel agents or belief plan in case of disaster events.

• Journal of Korean Society of Archives and Records Management
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• v.22 no.2
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• pp.1-25
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• 2022

Today, most archives provide recording services through social media; however, their effectiveness is very low. This study aimed to analyze the causes of insufficient social media recording service, focusing on Gyeongnam Archives and Seoul Metropolitan Archives, which are permanent records management institutions and local government archives, and design ways to create synergy by mutual growth with classical recording service. Through literature research, the characteristics and mechanisms of each social medium were identified, and the institutions' current status of social media operations and internal documents were reviewed to analyze the common problems. An in-depth analysis was conducted by interviewing the person in charge of recording services at each institution. In addition, a plan that can be applied to archives was proposed by reviewing the cases of social media operations of domestic-related institutions and overseas archives. Based on this, a new recording service process was established, strategic operation plans for each social medium were proposed, and a plan to mutually grow with the existing recording service was designed.

• Fashion, Industry and Education
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• v.15 no.1
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• pp.44-58
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• 2017

The purpose of this research is to explore how Millennials mitigate perceived risks that occur during online apparel purchasing decisions through social interactions based on social learning theory. Also, this research investigates concerns generated from interactions with others when consuming apparel online. An exploratory investigation was undertaken with 78 undergraduate students using an online survey that included open and closed questions. Qualitative data revealed positive relationships between consumers' social interactions and purchases of apparel products online. Specifically, information searches through social interactions with trusted individuals utilizing online channels were found to validate purchasing decisions and alleviate perceived risks with purchasing apparel products online. However, consumers were also concerned with certain interactions due to the lack of credibility regarding reviewers, channels, and conflicting information. These findings provide an insight into millennial consumers' learning processes through consumer-to-consumer interactions in social media environments for apparel purchases. As online and mobile shopping along with consumers' social media usage for interacting continue to increase, these research findings guide retailers how to turn their attention to investing and utilizing these channels to enhance millennial consumers' positive purchasing experiences online.