• Journal of Digital Contents Society
• /
• v.18 no.6
• /
• pp.1091-1099
• /
• 2017

This study used movies to improve the students' immersion and interest in political classes. Movie is one of the most common and most powerful means of disseminating information that occur among humans. And it is the most easily accessible to the public. Especially, the recognition of visual images proceeds more easily and faster than the perception of thought. Understanding the political happening through movie can get double effect because of the high understanding and immersion. Above all, movies can penetrate into people's minds because they become a ideological. Therefore, it is publicized and also historical events are reproduced in movies. Likewise, politics is also based on the role of the thought or dominant beliefs, and public opinion is formed to justify various groups of human activities. It shows that today's political happening is not a new, but the historical phenomenon of the past are reproduced. Based on this, to discuss modern Korean political history through movies.

• Journal of Korea Multimedia Society
• /
• v.17 no.6
• /
• pp.671-680
• /
• 2014

Recently, with the remarkable increase of social network services, it is necessary to extract interesting information from lots of data about various individual opinions and preferences on SNS(Social Network Service). The sentiment information can be applied to various fields of society such as politics, public opinions, economics, personal services and entertainments. To extract sentiment information, it is necessary to use processing techniques that store a large amount of SNS data, extract meaningful data from them, and search the sentiment information. This paper proposes an efficient method to extract sentiment information from various unstructured big data on social networks using HDFS(Hadoop Distributed File System) platform and MapReduce functions. In experiments, the proposed method collects and stacks data steadily as the number of data is increased. When the proposed functions are applied to sentiment analysis, the system keeps load balancing and the analysis results are very close to the results of manual work.

• Journal of Information Science Theory and Practice
• /
• v.9 no.1
• /
• pp.68-78
• /
• 2021

Political weblogs are as diverse as political viewpoints are. In the period of Prime Minister Yingluck Shinawatra, several political crises occurred, such as opposition to the Amnesty Act, the constitutional amendment, and the anti-government protests. Remarkably, during this time, social media were used as a platform for political expressions. This study employed a content analysis method to explore twenty-nine Thai political weblogs established during the period of Prime Minister Yingluck Shinawatra's administration. At the time, the most prominent Thai political weblogger was Nidhi Eawsriwong. Not surprisingly, the Pheu Thai Party and the Democrat Party were the most frequently appearing political parties in these weblog's posts. Most contents in these posts were related to government protesters by the People's Democratic Reform Committee (PDRC) and the coup d'état. The purposes of writing such weblogs were to express feelings and thoughts about Thai politics and to provide political information to the general public. The findings from this investigation revealed two significant uses of Thai political weblogs: the communication media for political expressions and viewpoints (a safe online space for political engagement and participation), and vital sources for Thai political information and news (social narratives).

• Asia pacific journal of information systems
• /
• v.32 no.4
• /
• pp.945-963
• /
• 2022

With the widespread use of social media, online social platforms like Twitter have become a place of rapid dissemination of information-both accurate and inaccurate. After the COVID-19 outbreak, the overabundance of fake information and rumours on online social platforms about the COVID-19 pandemic has spread over society as quickly as the virus itself. As a result, fake news poses a significant threat to effective virus response by negatively affecting people's willingness to follow the proper public health guidelines and protocols, which makes it important to identify fake information from online platforms for the public interest. In this research, we introduce an approach to detect fake news using deep learning techniques, which outperform traditional machine learning techniques with a 93.1% accuracy. We then investigate the content differences between real and fake news by applying topic modeling and linguistic analysis. Our results show that topics on Politics and Government services are most common in fake news. In addition, we found that fake news has lower analytic and authenticity scores than real news. With the findings, we discuss important academic and practical implications of the study.

• Korean journal of communication and information
• /
• v.71
• /
• pp.116-154
• /
• 2015

Officially given a historical signifier as Gwangju Democratic Movement since 1987, far-right and conservative group have restated that $5{\cdot}18$ is a rebellion and a riot that was committed by rebellious elements who obeyed North Korea's command or who were connected with North Korea. As those who had been responsible for the rebellion, revolt and riot were rewarded, far-right and conservatives' collective narrative that a country was born where the pro-North Korea left became dominated aroused extreme hostility towards $5{\cdot}18$. Far-right and conservatives involved in many different fields such as political party, university, press and media and civil group carry out incendiary discourse politics with intention to reestablish history and memory of $5{\cdot}18$ in their own story. Many people at online sites such as Ilbe Storehouse who are considered 'young right wing' is a main route to spread the far-right groups' remarks on $5{\cdot}18$. Ilbe is a main channel to reconstitute and reproduce the far-right conservatives' remarks and information on $5{\cdot}18$. Ilbe is one of main area where remarks of disparagement and ridicule, hostility and hatred on $5{\cdot}18$ unfurl. This study collects $5{\cdot}18$-related remarks and stories unfolded at Ilbe and examines how these remarks and stories make significance as to $5{\cdot}18$ and how information resources which remarks are dependent upon are connected each other. In this process, this study intends to find implications of incendiary politics that echoed of remarks on $5{\cdot}18$ have which at the online site Ilbe and by the far-right conservatives.

• Journal of the Korean Society for Library and Information Science
• /
• v.15
• /
• pp.73-94
• /
• 1988

The main purpose of the present study is to investigate the citation habit of Korean social scientists by making use of citation analysis and content analysis, and to assess the nature of interdisciplinary flow of information in Korea in terms of the citation dependency on other disciplines, the types of channels used in formal scientific communication, the countries published the literatures of other disciplines cited in the source articles, and the languages used in the literatures of other disciplines. The major findings and conclusions reached at this study are summarised as follows: 1. Korean social scientists mainly cite the literatures of economics, sociology, politics, and history when they cite the literature of other disciplines. 2. The citation dependency on other disciplines of the economists, polictial scientists, and sociologists are 6 percents, 14 percents, and 19 percents, respectively. 3. The citation dependency on history of the economists is 25 percents, the dependency on sociology of the political scientists is 34.9 percents, and the dependency on economics of the sociologists is 50. 19 percents. 4. The types of channels used in formal scientific communication in social sciences are firmly book and journal. 5. The countries published the literatures of other disciplines .cited in the source articles are Korea and the U. S. firmly. 6. The languages used in the literatures of other disciplines cited in the source articles are Korean and English overwhelmingly.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.3
• /
• pp.17-27
• /
• 2020

The research aims to investigate the impact levels of determinants on the conversion of financial statements from Vietnamese accounting standards (VAS) to International financial reporting standards (IFRS) in the multinational firms in Vietnam. The method of data collection was done through the survey and subjects are accountants in Multinational Firms doing business in Hanoi and ten neighboring provinces. After checking the information on the votes, there are 170 questionnaires with full information for data entry and analysis. We use Cronbach's Alpha, EFA analysis and run regression model to investigate the impact levels of each independent variable on dependent variable of the conversion of VAS financial statements to IFRS. The results show that five determinants including Economic, Politics, Law, Culture, and Conditions for implementation have positive relationships with the conversion of VAS financial statements to IFRS. In particular, Economic determinant is the most strongest. Based on the findings, some recommendations are given for improving the conversion of VAS financial statements to IFRS of multinational firms doing business in the context of Vietnam. The results are considered a useful reference for firms when making financial statements to transparently change the financial statement information and improve the quality of financial statement information.

• Journal of Korean Library and Information Science Society
• /
• v.44 no.3
• /
• pp.489-512
• /
• 2013

This study suggests the establishment and applications of the News core thesaurus for efficient indexing and searching of news information. News core thesaurus was constructed as macrothesauri which can cover all of news subjects and then has microthesauri like politics, economy, society, culture, etc. as its subsets. In this research, News core thesaurus embodied 2,012 descriptors and 74 non-descriptors by SKOS(Simple Knowledge Organization System). It suggests measures that treat only special subjects in detail in weekly newspaper or biweekly newspaper with little information and special subjects, which is not daily newspaper, and use each microthesauri by merging or integrating in huge news archives or portal sites.

• Management & Information Systems Review
• /
• v.23
• /
• pp.233-260
• /
• 2007

Now a day, Information and its related system has been more important in our competitive environment. In this situation, there is also an important thing that we must take into consideration, that's the employer's resistance. Until now we have little material concerning the issue, user's resistance. Owing to that, it's a little hard to study the user's resistance against the IS. Dealing with the resistance effectively helps companies save a great deal of cost and build the information system successfully. This paper takes the Markus's theories about user's resistance. According to the theories, there are three keys theories affecting resistance. To sum this, people-oriented theory, system-oriented theory and Interaction theory. To complement the theories, this paper includes another theories related with resistance and takes total seven factors causing user's resistance. Among these seven factors, four factors have a meaningful effect on the user's resistance, that is, Self-efficacy, System Complexity, Threat of the one's status and politics and System Staff's service quality. Managers and system-related company should keep it in mind very carefully, and I hope they make the best use of the result of this study.

• Journal of Contemporary Eastern Asia
• /
• v.8 no.2
• /
• pp.27-43
• /
• 2009

A ban on political podcasting during the General Elections 2006 in Singapore was justified by the Singaporean government on the grounds that the new medium had a greater power to influence voters than traditional modes of political discourse. A between-subjects controlled experiment was conducted to test whether podcasts of political speeches had a greater power to influence voters' evaluations of political candidates and likelihood of voting for them than online text-based transcripts of the same speeches. The study also examined whether mere exposure to political speeches online, irrespective of the modality, had an effect on voters' more general political preferences, i.e. the likelihood of support and voting for the opposition. The findings suggest that political podcasts were no more persuasive than text-based websites and that the effects on political preferences, if any, were likely due the exposure to political content online, not because of the nature of the medium. The implications of the findings are discussed.