• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.5
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• pp.15-23
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• 2020

Automated driving car is drawing attention as a seminal service representing 4th industrial revolution era based on 5G network, AI, IOT and sensor technology. automated driving car is expected to evolve into the final level which does not require driver's input. Drivers are able to consume new additional time in private space. Many industries started to compete to control these time and space. Media industry is expecting quite big change due to the introduction of automated driving cars. This research examines the impact of the media industry and social & institutional issues of automated driving cars based on depth interviews of experts. The introduction of automated driving cars is giving new opportunity for media industry as contents provider. Telcos and IT corporations are expected to compete each other to get the control of infotainment systems of automated driving cars. The reform of current regulations regarding car driving is pointed as important task to protect private information and the introduction of automated driving cars.

• Journal of Digital Convergence
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• v.12 no.9
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• pp.101-109
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• 2014

The purpose of this study was to analyze the impact of mediator effect related to role-orientation of traditional newspaper editors in terms of role-cognition and role-orientation in aspects of real reportage attitude by classifying the newspaper editor's role-cognition with social stability, reform, check, on the other hand, role-orientation with reporter's intention, intention of actual fact, and reader's intention. The results were as follows: In terms of reporter's intention the research showed the fact that reporter's intentions was influenced by the role cognition of social stability and at the same time, it also made to reduce the attitude of real reportage. Compared with intention of actual fact and reader's intention, the intention of actual fact could be only influenced by the social stability, but it could not give any effectiveness to the attitude of real reportage, furthermore, the research showed the fact that reader's intention aroused some mediator effects which newspaper editor's role cognition gave rise to the attitude of real reportage much more strongly.

• Korean journal of communication and information
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• v.34
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• pp.244-274
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• 2006

To explore the social construction of the concept of leadership, image of media mogul depicted in the popular business newspaper, the Wall Street Journal, was analyzed. Then, the reconstructed image of the CEO was compared with the firm's stock price change to see their relationship, if any. This paper focused on the case of Steve Case (previous chairman of AOL Time Warner), who was the leader of the world largest media company. The period for the analysis was three years and five months from his inauguration(January 2000) to the resignation(May 2003). In general, CEO of a firm represents the firm itself. Thus, the image of the CEO is highly transcends to the image of the firm as well. Consequently, the image of CEO might have an impact on the firm's performance. Since business newspaper works as one of the most important information intermediaries in the stock market, the image of CEO constructed in the newspaper might be a critical indicator for the investors. The results revealed that media coverage of Steve Case was commensurate with the financial performance, particularly stock price change of the AOL Time Warner.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.6
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• pp.1856-1868
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• 2008

This paper is about what is the effect of cultural marketing - which is affecting business ethics and social responsibility - on corporate image and formation of brand asset, and about which is getting more influence by cultural marketing among factors that is forming corporate image and brand asset. The results are like below. First, cultural marketing activities had an indirect influence on the corporate brand asset. Second, cultural marketing had an direct influence on the corporate brand image. Third, cultural marketing had a positive impact on reminding of the brand image. Fourth, social responsibility and business ethics had an indirect influence on the brand loyalty. Fifth, corporate social responsibility and business ethics had a positive impact on the brand image. Sixth, among the corporate social responsibility, community activities played a control variables. Seventh, regarding the characteristics of the respondents it showed that there's perception gaps among marketing, responsibility and ethics as well as brand assets. All in all, cultural marketing had an indirect effect on formulating corporate brand asset by the means of corporate image. The result is pointing out the importance of establishing a strategic marketing plan that is taking harmony between the character of cultural marketing and media, continuous and long-term plan, connection with the type of the brand asset into account. Moreover, as people realized that corporate business activities are brining not only economic consequences, such as providing goods and services but also social consequences, such as uneven distribution of wealth, dirty links between business and politics, consumers' security, pollution, and etc., companies are reconsidering its own role in society. This reconsideration is called corporate social responsibility and this pushed the company to keep business ethics together with their business.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.255-265
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• 2013

This study deals with the policy proposals focusing on the addiction for the rapidly growing social media service (SNS) and its diagnosis. Researcher intends to define the SNS addiction and develops a diagnostic measure, which is a valuable subject. The reason is why the SNS becomes more convenient with prevalence of smart phones and the SNS addiction becomes enough severe to suggest internet addiction policy. Researcher presents the subjects into three parts. Firstly, the SNS addiction variables are derived and validated. Secondly, the path model between the SNS addiction variables is verified and discussed. Thirdly, researcher proposes the diagnostic results and the group comparison. Therefore, the result of this study is that the SNS addiction can be measured by the four elements, which are the failure in stopping the use of the SNS, time tolerance, living disability, withdrawal and anxiety. Researcher verifies the sequential impact of each variable and figures out the SNS addict through the presentation of a realistic measurement for the addiction index and the determination of the level of the addiction. By the above result, the researcher proposes the public relations of the government policy for the sound usage of the SNS and the self management of user. Finally, various proposed in this study will help to prevent juvenile crime, social problems in the future.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.141-156
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• 2013

Social media is a representative form of the Web 2.0 that shapes the change of a user's information behavior by allowing users to produce their own contents without any expert skills. In particular, as a new communication medium, it has a profound impact on the social change by enabling users to communicate with the masses and acquaintances their opinions and thoughts. Social media data plays a significant role in an emerging Big Data arena. A variety of research areas such as social network analysis, opinion mining, and so on, therefore, have paid attention to discover meaningful information from vast amounts of data buried in social media. Social media has recently become main foci to the field of Information Retrieval and Text Mining because not only it produces massive unstructured textual data in real-time but also it serves as an influential channel for opinion leading. But most of the previous studies have adopted broad-brush and limited approaches. These approaches have made it difficult to find and analyze new information. To overcome these limitations, we developed a real-time Twitter trend mining system to capture the trend in real-time processing big stream datasets of Twitter. The system offers the functions of term co-occurrence retrieval, visualization of Twitter users by query, similarity calculation between two users, topic modeling to keep track of changes of topical trend, and mention-based user network analysis. In addition, we conducted a case study on the 2012 Korean presidential election. We collected 1,737,969 tweets which contain candidates' name and election on Twitter in Korea (http://www.twitter.com/) for one month in 2012 (October 1 to October 31). The case study shows that the system provides useful information and detects the trend of society effectively. The system also retrieves the list of terms co-occurred by given query terms. We compare the results of term co-occurrence retrieval by giving influential candidates' name, 'Geun Hae Park', 'Jae In Moon', and 'Chul Su Ahn' as query terms. General terms which are related to presidential election such as 'Presidential Election', 'Proclamation in Support', Public opinion poll' appear frequently. Also the results show specific terms that differentiate each candidate's feature such as 'Park Jung Hee' and 'Yuk Young Su' from the query 'Guen Hae Park', 'a single candidacy agreement' and 'Time of voting extension' from the query 'Jae In Moon' and 'a single candidacy agreement' and 'down contract' from the query 'Chul Su Ahn'. Our system not only extracts 10 topics along with related terms but also shows topics' dynamic changes over time by employing the multinomial Latent Dirichlet Allocation technique. Each topic can show one of two types of patterns-Rising tendency and Falling tendencydepending on the change of the probability distribution. To determine the relationship between topic trends in Twitter and social issues in the real world, we compare topic trends with related news articles. We are able to identify that Twitter can track the issue faster than the other media, newspapers. The user network in Twitter is different from those of other social media because of distinctive characteristics of making relationships in Twitter. Twitter users can make their relationships by exchanging mentions. We visualize and analyze mention based networks of 136,754 users. We put three candidates' name as query terms-Geun Hae Park', 'Jae In Moon', and 'Chul Su Ahn'. The results show that Twitter users mention all candidates' name regardless of their political tendencies. This case study discloses that Twitter could be an effective tool to detect and predict dynamic changes of social issues, and mention-based user networks could show different aspects of user behavior as a unique network that is uniquely found in Twitter.

• Journal of Environmental Impact Assessment
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• v.29 no.2
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• pp.122-131
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• 2020

Marine Spatial Planning is an emerging strategy that promoting sustainable development at coastal and marine areas based on the concept of ecosystem services. Regarding its methodology, usage rate of resources and its impact should be considered in the process of spatial planning. Particularly, considering the rapid increase of coastal tourism, visitation pattern is required to be identified across coastal areas. However, actions to quantify visitation pattern have been limited due to its required high cost and labor for conducting extensive field-study. In this regard, this study aimed to pose the usage of social big data in Marine Spatial Planning to identify spatial visitation density and critical management zone throughout coastal areas. We suggested the usage of GPS information from Flickr and Twitter, and evaluated the critical management zone by applying spatial statistics and density analysis. This study's results clearly showed the coastal areas having relatively high visitors in the southern sea of South Korea. Applied Flickr and Twitter information showed high correlation with field data, when proxy excluding over-estimation was applied and appropriate grid-scale was identified in assessment approach. Overall, this study offers insights to use social big data in Marine Spatial Planning for reflecting size and usage rate of coastal tourism, which can be used to designate conservation area and critical zones forintensive management to promote constant supply of cultural services.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.87-97
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• 2017

This paper examined how consumers' attitude toward the telecommunication expense was affected by news reports through the experiment. Participants were randomly assigned to one of four group (control group, high-expense-claimed-media group, low-expense-claimed-media group, and both-exposed-media group), and asked to indicate credibility & neutrality toward media report, similarity between media report, and their own thought, their attitude toward the telecommunication expense. The result of ANOVA showed that the high-expense-claimed-media was perceived more credible and neutral than the low-expense-claimed-media. ANCOVA was conducted to eliminate the impact of similarity between media report and their own thought on the evaluation of credibility & neutrality toward media report, and the result showed that there was no difference. Also, participants evaluated the telecommunication service so expensive, regardless of what kind of media reports they were exposed. We found that consumers' prior belief, which telecommunication service was expensive, might interrupt consumers' learning process for new information from media. To resolve the social pressure about mobile service rate-cutting, it is necessary to investigate how to dampen consumers' stereotype about the telecommunication expense. The future research using the framing effect could be considerable.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.63-68
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• 2022

This After the debut of 5G, our lives have changed a lot. In particular, the proliferation of wireless network services through smartphones and LTE has completely changed the existing mobile communication services that are limited to voice/text communication between individuals and individuals, and new innovative services have emerged in all aspects of personal and corporate activities. This study verified the relationship between the social characteristics of 5G services and users' willingness to use 5G services. It analyzed the influence relationship between independent variables (social reality, subjective norms), media variables (perceived usefulness) and dependent variables (use intention), set hypotheses, and identified the media effects of perceived usefulness. The measurement items of variables are defined, and the research model of 5G service usage intention is designed. A questionnaire survey was conducted on the measurement items for users who have experience in using 5G services. Based on this result, among the social factors of users of 5G services, social reality and subjective norms are suitable factors to improve users' intentions. And through this research we put forward the enlightenment, discussed the limitations of the research and future research directions.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.391-397
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• 2013

Recently, comics pulication industry is experiencing long-time recess in Korean market. To overcome the difficulties firms are trying to develop various tools which fit new technological environments, but previous research tend to have focused too much on web-base contents such as webtoons, rather than communication effectiveness through social network services. Thus, this study investigated the relationship between the characteristics of postings at social network service and the consumer responsiveness. In the results, we found that posting with visual images and event invitations were positively associated with consumer responsiveness, and the amount of information was negatively associated with the responsiveness. This study shows some implications on how firms can effectively enhance communication with consumers through social network service.