• Korean journal of communication and information
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• v.77
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• pp.36-72
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• 2016

Comprehensive Cable TV Channels(CCCs) has been established as a political product around 5 years ago, and it's influence and position on the broadcasting field are keep increasing. CCC's stabilization is based on flooding the market with journalism. The repeating news and current affairs programs are appearing constantly in the afternoon which is CCC's primetime. The current affairs talk shows are a product of CCC's representative program type and it leads unique CCC style journalism. The guests of the current affairs talk show leading the program with critiques(comments) and discussions about political issues. The purpose of this study is to explore how these guests of the current affairs talk shows conceptually positioned as political mediating elites and same time to explore the television political landscape through the representative current affairs talk shows from TV chosun, Channel A, MBN, JTBC which are present by these political elites. This study wants to find out about that television political effects from CCCs which exemplified into certain directions by these political mediating elites saying their political biases and expresses their feelings drastically that causes high ratings and brings people's attention. The guests who called political mediating elites in this study are mostly considered to be extreme rightist, conservatives, conservative-centrist and they have close relationship with certain political party or political group. The political mediating elites gain the popularities and have great influence on the public from performing the television politics through CCCs' current affairs talk shows and use that to make political exchange connections with political groups. Therefore this study wants to point out that CCCs' current affairs talk shows are situated in political rally, exchange connection, so current affairs talk shows are existing only for political battle field.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.317-340
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• 2023

In a business context, ESG is defined as the use of environmental, social, and governance factors to assess a firm's progress in terms of sustainability. Social media has enabled the public to actively share firms' good and/or bad deeds, increasing public interest in ESG management. Therefore, this study aimed to investigate the association of firm performances with the respective sentiments towards each of environmental, social, and governance activities, as well as comprehensive ESG sentiments, which encompass all environmental, social, and governance sentiments. This study used panel regression models to examine the relationship between social media ESG sentiment and the Return on Assets (ROA) and Return on Equity (ROE) of 143 companies listed on the KOSPI 200. We collected data from 2018 to 2021, including sentiment data from a variety of social media channels, such as online communities, Instagram, blogs, Twitter, and other news. The results indicated that firm performance is significantly related to respective ESG and comprehensive ESG sentiments. This study has several implications. By using data from various social media channels, it presents an unbiased view of public ESG sentiment, rather than relying on ESG ratings, which may be influenced by rating agencies. Furthermore, the findings can be used to help firms determine the direction of their ESG management. Therefore, this study provides theoretical and practical insights for researchers and firms interested in ESG management.

• Journal of Nutrition and Health
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• v.36 no.5
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• pp.508-514
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• 2003

The purpose of this study was to analyze information about food and nutrition presented through the television broadcast media, with the aim of finding out the optimal communication method for supplying the general public with accurate information. To perform this study, a total of sixteen monitoring people were recruited and trained before and during the study. Five domestic TV channels were selected to be monitored, and the total monitoring period was six months. For maximum efficiency, the monitoring people were assigned to 8 teams. The results of the present study can be summarized as follows : First, the total reported cases of information about food and nutrition were 237, of which about 30% were judged appropriate and 70％ as inappropriate. Second, classifying each case by program type, information programs made up the highest portion at 82 cases (34.6%), cooking programs accounted for 76 cases (32.1%), news programs for 40 cases (16.9%), and entertainment programs for 7 cases (3.0%). The analysis showed that the greatest amount of incorrect information was found in dramas, followed by entertainment, information, cooking and news programs. Third, classifying each case by theme of contents monitored, meal preparation and cookery made up the highest portion at 86 cases (36.3%), foods accounted for 67 cases (28.3%), disease and diet-therapy for 40 cases (16.9%), eating habits for 31 cases (13.1%), and diet and fitness for 13 cases (5.5%). Incorrect information was conveyed most often on the themes of food habits, foods, disease and diet-therapy, cookery, and diet and fitness. Fourth, classifying each case by channel, Cable TV had the highest frequency at 72 cases (30.4%), MBC had 51 cases (21.5%), SBS had 43 cases (18.1%), KBS1 had 41 cases (17.3%) and KBS2 had 30 cases (12.7%). In conclusion, systematic monitoring should be continued to reduce the frequency of incorrect information being broadcast and to help ensure that accurate information is conveyed to the general public. Moreover, there should be a system of cooperation to provide information to help broadcast production teams establish a strategic program. Finally, it is essential to organize an advisory team by promoting links between the mass media and specialists in the field, and to develop an educational program on nutrition to help ensure the communication of accurate information on food and nutrition. (Korean J Nutrition 36(5): 508∼514, 2003)

• The Journal of the Korea Contents Association
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• v.14 no.4
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• pp.379-388
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• 2014

This study analyzed the status of Korean professional baseball as TV contents utilizing ratings. For the purpose of the study, Korea professional baseball's relative status to other genres though ratings is investigated. For this study, ratings per minute for the whole cable TV channel viewer ratings in 2010 were analyzed, and the following is the result of comparing and analyzing ratings per genre and channel of cable TV. Among 11 genres, drama showed the highest rating, and entertainment, movies, kids, news/reports, sports, music, etc followed. Drama and entertaining channels showed the highest ratings and sports did not show any high ranking. However, when analyzing times for broadcasting Korean professional baseball separately, Korean professional baseball in both genre and channel showed the highest r ratings and it was significant statistically. Thus, it is considered that Korean professional baseball is the most valuable contents for the related cable TV times.

• The Journal of the Korea Contents Association
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• v.17 no.8
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• pp.80-89
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• 2017

Television viewing affects viewers' attitudes and opinions on their political issues. Since the beginning of General Programming TV services in 2011, they are criticized of their politically biased programming. In order to investigate the effect of General Programming TV on voters' behavior, we analyzed whether or not there is a change in the voting behavior of the conservative parties among the areas with high and low TV ratings of general programming TV. Based on the result of 18th presidential election in December 2012, we could not find any difference in voting behavior on the Saenuri party among the areas with high and low ratings of general programming TV channels. However, in the 6th provincial election in June 2014, while the voting shares of the Saenuri party were higher in the areas with high ratings of TV Chosun, Channel A, and JTBC than in those areas with low ratings.

• 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.

• Journal of the Korea Society of Computer and Information
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• v.20 no.11
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• pp.143-150
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• 2015

Social network services can be defined as an individual web page which enables online, human-relationship building by collecting useful information and sharing it with specific or unspecific people. Recently, as the social network services(SNS) such as Twitter and Facebook have been paid attention in many fields of the society. SNSs are also one of the fastest channels to get news which people may not be able to see on TV or newspaper. The number of people who feel they are benefiting from social network services are increasing dramatically. A number of researches about SNS are underway. The study based on the Technology Acceptance Model empirically investigates the relationship between characteristics of SNS (system, service, information, and emotional) and user satisfaction of SNS. The study also analyzes how the relationshipa between SNS characteristics, satisfaction and user acceptance are moderated by country type of SNS users and inclination toward SNS acceptance. To achieve these research purposes, the study conducted various statistical analyses using questionnaire of the Korean and Chinese SNS users. The results of the study are followings. First, SNS characteristics have a positive effect to the user satisfaction. Second, SNS satisfaction have a positive effect to the user acceptance. Third, the relationship between SNS characteristics and user satisfaction is moderated by the country type of SNS users and inclination toward SNS acceptance. The study results could provide some implications to researchers who have interest in studying SNS, also could help business managers to operate and develop their SNS site more effectively.

• Knowledge Management Research
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• v.20 no.3
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• pp.155-171
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• 2019

In the entertainment industry which has great uncertainty, it is essential to predict public preference first. Thanks to various mass media channels such as cable TV and internet-based streaming services, the reality audition program has been getting big attention every day and it is being used as a new window to new entertainers' debut. This phenomenon means that it is changing from a closed selection process to an open selection process, which delegates selection rights to the public. This is characterized by the popularity of the public being reflected in the selection process. Therefore, this study aims to implement a machine learning model which predicts the winner of , which has recently been popular in South Korea. By doing so, this study is to extend the research method in the cultural industry and to suggest practical implications. We collected the data of winners from the 1st, 2nd, and 3rd seasons of the Produce 101 and implemented the predictive model through the machine learning method with the accumulated data. We tried to develop the best predictive model that can predict winners of by using four machine learning methods such as Random Forest, Decision Tree, Support Vector Machine (SVM), and Neural Network. This study found that the audience voting and the amount of internet news articles on each participant were the main variables for predicting the winner and extended the discussion by analyzing the precision of prediction.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.1
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• pp.87-102
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• 2021

The purpose of this study is to consider effective digital marketing strategies through analysis of luxury fashion brands. This study conducted both quantitative analysis and case studies of the brands Louis Vuitton, Gucci, Burberry, and Chanel. To measure the brand image of the luxury fashion brands, the survey was distributed to Millennials, and total of 277 responses were used for the final analysis by using SPSS 25.0 statistical program. Other than survey, this paper analyzed digital marketing strategies of luxury fashion brands through brand-related papers, website and social media of each brand, Samsung Designnet's database, and news posted on search engines. The results of this study are as follows: First, according to the result of examining brand image of luxury fashion brands, there was no significant difference between brands, except Gucci. Second, this study analyzed each luxury fashion brand to understand the characteristics of digital marketing, and common characteristics were identified. Third, by analyzing the brand image and digital marketing strategies of luxury fashion brands, it was confirmed that Gucci's brand image and digital marketing strategies were consistent, while there was a difference between Burberry's brand image and digital marketing strategy. Therefore, this article proposes the following digital marketing strategies that are suitable for luxury fashion brands. First, is the connection of on/offline channels. Second, is the use of AI technology. Third, is a blockchain-based platform.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.175-182
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• 2022

In our daily life, we come across different types of information, for example in the format of multimedia and text. We all need different types of information for our common routines as watching/reading the news, listening to the radio, and watching different types of videos. However, sometimes we could run into problems when a certain type of information is required. For example, someone is listening to the radio and wants to listen to jazz, and unfortunately, all the radio channels play pop music mixed with advertisements. The listener gets stuck with pop music and gives up searching for jazz. So, the above example can be solved with an automatic audio classification system. Deep Learning (DL) models could make human life easy by using audio classifications, but it is expensive and difficult to deploy such models at edge devices like nano BLE sense raspberry pi, because these models require huge computational power like graphics processing unit (G.P.U), to solve the problem, we proposed DL model. In our proposed work, we had gone for a low complexity model for Audio Event Detection (AED), we extracted Mel-spectrograms of dimension 128×431×1 from audio signals and applied normalization. A total of 3 data augmentation methods were applied as follows: frequency masking, time masking, and mixup. In addition, we designed Convolutional Neural Network (CNN) with spatial dropout, batch normalization, and separable 2D inspired by VGGnet [1]. In addition, we reduced the model size by using model quantization of float16 to the trained model. Experiments were conducted on the updated dataset provided by the Detection and Classification of Acoustic Events and Scenes (DCASE) 2020 challenge. We confirm that our model achieved a val_loss of 0.33 and an accuracy of 90.34% within the 132.50KB model size.