• Title/Summary/Keyword: 뉴스가치

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Additional Evidence on the Market Reaction to Stock Option Grants (스톡옵션 부여공시에 따른 주가상승효과 재검토)

  • Sul, Won-Sik;Kim, Soo-Jung
    • The Korean Journal of Financial Management
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    • v.20 no.1
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    • pp.61-92
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    • 2003
  • As an extension of previous researches with the conclusion that the announcement of adopting stock options generates positive abnormal returns, this paper examined whether the abnormal return changes over time or varies depending on the number of stock options granted. Empirical analysis was made to find whether the announcement of stock option awards has the same response in the stock market from the early days when stock option plans had been introduced in the Korean stock market till today when it was widespread. Results indicate that the announcement effect had been on a gradual decline since 2000. In addition, it is found that if a company announces stock option awards several times, the abnormal return gradually declines in proportion of the number of stock options granted. This implies that as the stock option awards become widespread, the positive effect that the announcement of adopting stock options generates as news has been on a relatively steady decrease. In short, it leads to a conclusion that the more companies grant stock options, and the more stock options a company announces, the less impact it has on the increase in the firm's value.

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Genre-specific Cultivation Effect of Reality-based TV Programs: Perceived Realism's Mediation and Fatalistic Beliefs (리얼리티 표방 TV 프로그램 장르의 문화계발 효과: 현실유사성 인식의 매개와 숙명적 태도에 미치는 영향을 중심으로)

  • Na, Eun-Kyung;Kim, Do-Hyeon
    • Korean journal of communication and information
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    • v.57
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    • pp.181-201
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    • 2012
  • Classic cultivation theory and research has been noted for its failure to capture subtle variation in effects by genre and to consider tangible and practical dependent variables. Redressing these limitations, this study aimed at extending cultivation theory frame to incorporating fatalistic attitudes and reality television viewing, especially with the mediator of perceived realism. We first replicated the original cultivation effect by showing the significant effect of overall TV viewing. Even controlling for overall TV viewing, reality-based program use showed positive association with fatalistic beliefs; furthermore, the effect remained significant, additionally controlling for news(fact) use and drama(fiction) use. In a nutshell, the cultivation effect of reality-based TV program on fatalistic beliefs turns out quite stable even after controlling other competing genres.

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Issue Analysis on Gas Safety Based on a Distributed Web Crawler Using Amazon Web Services (AWS를 활용한 분산 웹 크롤러 기반 가스 안전 이슈 분석)

  • Kim, Yong-Young;Kim, Yong-Ki;Kim, Dae-Sik;Kim, Mi-Hye
    • Journal of Digital Convergence
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    • v.16 no.12
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    • pp.317-325
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    • 2018
  • With the aim of creating new economic values and strengthening national competitiveness, governments and major private companies around the world are continuing their interest in big data and making bold investments. In order to collect objective data, such as news, securing data integrity and quality should be a prerequisite. For researchers or practitioners who wish to make decisions or trend analyses based on objective and massive data, such as portal news, the problem of using the existing Crawler method is that data collection itself is blocked. In this study, we implemented a method of collecting web data by addressing existing crawler-style problems using the cloud service platform provided by Amazon Web Services (AWS). In addition, we collected 'gas safety' articles and analyzed issues related to gas safety. In order to ensure gas safety, the research confirmed that strategies for gas safety should be established and systematically operated based on five categories: accident/occurrence, prevention, maintenance/management, government/policy and target.

An Exploratory Study on Contactless Digital Economy: the Characteristics, Regulatory Issues and Resolutions (비대면 디지털 경제에 대한 탐색적 연구: 특성, 규제쟁점 및 개선방안을 중심으로)

  • Shim, Woohyun;Won, Soh-Yeon;Lee, Jonghan
    • Informatization Policy
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    • v.29 no.2
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    • pp.66-90
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    • 2022
  • The radical digital transformation and development of the contactless digital economy in the wake of the COVID-19 pandemic are increasing the need to solve various problems such as conflicts of interest among market participants and delays in related laws and regulations. This study investigates the concept and characteristics of the contactless digital economy and identifies the related regulatory issues and resolutions through literature review, news article analysis, and expert interviews. From the literature review, it is identified that the contactless digital economy has eight hyper-innovation characteristics: hyper-intelligence, hyper-connectivity, hyper-convergence, hyper-personalization, hyper-automation, hyper-precision, hyper-diversity, and hyper-trust. From news article analyses and expert interviews, this study identifies various regulatory issues, such as competition between incumbents and new entrants, the collision of constitutional rights, collision of social values, conflict between market participants, absence of laws and regulations, and existence of excessive market power, and then proposes a series of resolutions.

A study on Deep Learning-based Stock Price Prediction using News Sentiment Analysis

  • Kang, Doo-Won;Yoo, So-Yeop;Lee, Ha-Young;Jeong, Ok-Ran
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.8
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    • pp.31-39
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    • 2022
  • Stock prices are influenced by a number of external factors, such as laws and trends, as well as number-based internal factors such as trading volume and closing prices. Since many factors affect stock prices, it is very difficult to accurately predict stock prices using only fragmentary stock data. In particular, since the value of a company is greatly affected by the perception of people who actually trade stocks, emotional information about a specific company is considered an important factor. In this paper, we propose a deep learning-based stock price prediction model using sentiment analysis with news data considering temporal characteristics. Stock and news data, two heterogeneous data with different characteristics, are integrated according to time scale and used as input to the model, and the effect of time scale and sentiment index on stock price prediction is finally compared and analyzed. Also, we verify that the accuracy of the proposed model is improved through comparative experiments with existing models.

News Big Data Analysis of 'Media Literacy' Using Topic Modeling Analysis (미디어 리터러시 뉴스 빅데이터 분석: 토픽 모델링 분석을 중심으로)

  • Han, Songlee;Kim, Taejong
    • The Journal of the Korea Contents Association
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    • v.21 no.4
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    • pp.26-37
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    • 2021
  • This study conducted a big data analysis on news to identify the agenda of media literacy, which has been socially discussed, and on which relevant policy directions will be proposed. To this end 1,336 articles from January 1, 2019 to September 30, 2020 were collected and a topic modeling analysis was conducted according to four periods. Five topics for each period were derived through the analysis, and implications based on the results are as follows. First, the government should implement a nation-level systematic approach to media literacy education according to life cycle stages to generate economic and cultural value. Second, local communities and schools should provide systematic support and education guidance activities to ensure a sustainable ecosystem for media literacy and prevent an educational gap and loss in learning. Third, efforts should be made in various aspects to minimize the side effects resulting from constantly providing media literacy education; furthermore a culture of desirable media application should be established. Finally, a research environment for scientific research on media literacy, active exchange of experience and value obtained in the field, and long-term accumulation of research results should be encouraged to develop a robust knowledge exchange culture.

Conflicts between the Conservation and Removal of the Modern Historic Landscapes - A Case of the Demolition Controversy of the Japanese General Government Building in Seoul - (근대 역사 경관의 보존과 철거 - 구 조선총독부 철거 논쟁을 사례로 -)

  • Son, Eun-Shin;Pae, Jeong-Hann
    • Journal of the Korean Institute of Landscape Architecture
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    • v.46 no.4
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    • pp.21-35
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    • 2018
  • In recent years, there has been a tendency to reuse 'landscapes of memory,' including industrial heritages, modern cultural heritages, and post-industrial parks, as public spaces in many cities. Among the various types of landscapes, 'modern historic landscapes', which were formed in the 19th and 20th centuries, are landscapes where the debate between conservation and removal is most frequent, according to the change of evaluation and recognition of modern history. This study examines conflicts between conservation and removal around modern historic landscapes and explores the value judgment criteria and the process of formation of those landscapes, as highlighted in the case of the demolition controversy of the old Japanese general government building in Seoul, which was dismantled in 1995. First, this study reviews newspaper articles, television news and debate programs from 1980-1999 and some articles related to the controversy of the Japanese general government building. Then it draws the following six factors as the main issues of the demolition controversy of the building: symbolic location, discoveries and responses of new historical facts, reaction and intervention of a related country, financial conditions, function and usage of the landscape, changes of urban, historical and architectural policies. Based on these issues, this study examines the conflicts between symbolic values that play an important role in the formation of modern historic landscapes and determines conservation or removal, and the utility of functional values that solve the problems and respond to criticisms that arise in the process of forming the modern historic landscape. Especially, it is noted that the most important factor that makes the decision is the symbolic values, although the determination of the conservation or removal of modern historic landscapes has changed according to changes in historical perceptions of modern history. Today, the modern historic landscape is an important site for urban design, and still has historical issues to be agreed upon and addressed. Thi study has contemporary significance from the point that it divides the many values of modern historic landscapes into symbolic values and functional values, evaluates these, and reviews the background social context.

How Market Reacts on the Metaverse Initiatives? An Event Study (메타버스 투자 추진이 기업 가치에 미치는 영향 분석: 이벤트 연구 방법론)

  • Mina Baek;Jeongha Kim;Dongwon Lee
    • Information Systems Review
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    • v.25 no.4
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    • pp.183-204
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    • 2023
  • Due to the COVID-19 pandemic, lots of occasions need to be held in online environment. This is the reason why "Metaverse" gets lots of attention in 2021. A number of companies made announcements on Metaverse, and this situation also boomed stock market. This paper investigates the relationship between Metaverse initiatives and business value of the firm (i.e., stock prices). We examine this relationship by using event study method with Lexis-Nexis News data from 2019 to 2021. The results indicate that Metaverse initiatives significantly impact positive influence on firm's value. In the technological perspective, technical factors affect more positive market returns, including Metaverse enablers (e.g., NFT, VR devices, digital twin) and common infrastructure (e.g., semiconductor, AI, cloud), and especially virtual environment was emphasized. Additionally, in the strategical perspective, radical innovation (e.g., pivoting, acquisition) impact more positive market return rather than incremental innovation (e.g., partnership, investment). Also, firms from non-service industries can achieve benefits from Metaverse initiatives rather than service industry in some degree.

An Analysis on the Value of Korea Professional Baseball as TV Contents (TV콘텐츠로서의 한국프로야구 가치분석)

  • Chung, Ji-Gyu
    • 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.

Trend Analysis of Apartments Demand based on Big Data (빅데이터 기반의 아파트 수요 트렌드 분석에 관한 연구)

  • Kim, Tae-Kyeong;Kim, Han Soo
    • Korean Journal of Construction Engineering and Management
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    • v.18 no.6
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    • pp.13-25
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    • 2017
  • Apartments are a major type of residence and their number has continuously increased. Apartments have multiple meanings in that for public they are not only for residence purpose but for investment, a major commodity for construction firms and a critical policy measure of public well-fare for the government. Therefore, it is critical to understand and analyze trends in apartments demand for pro-active actions. The objective of the study is to analyze and identify key trends in apartments demand based on big data drawn from articles of major daily newspapers. The study identifies 17 major trends from seven themes including development, trade, sale in lots, location requirements, policy, residential environment, and investment and profit. The research methods in the study can be usefully applied to further studies for various issues in relation to the construction industry.