• Journal of Science and Technology Studies
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• v.20 no.1
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• pp.39-85
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• 2020

With the development of information technology, fake news is becoming a serious social problem. Individual measures to manage the problem, such as fact-checking by the media, legal regulation, or technical solutions, have not been successful. The flood of fake news has undermined not only trust in the media but also the general credibility of social institutions, and is even threatening the foundations of democracy. This is why one cannot leave fake news unchecked, though it is certainly a difficult task to accomplish. The problem of fake news is not about simply judging its veracity, as no news is completely fake or unquestionably real and there is much uncertainty. Therefore, managing fake news does not mean removing them completely. Nor can the problem be left to individuals' capacity for rational judgment. Recurring fake news can easily disrupt individual decision making, which raises the need for socio-technical measures and multidisciplinary collaboration. In this study, we introduce a new public online platform for fake news management, which incorporates a multidimensional and multidisciplinary approach based on citizen science. Our proposed platform will fundamentally redesign the existing process for collecting and analyzing fake news and engaging with user reactions. People in various fields would be able to participate in and contribute to this platform by mobilizing their own expertise and capability.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.12
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• pp.569-578
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• 2021

Thanks to web development today, we can easily access online news via various media. As much as it is easy to access online news, we often face fake news pretending to be true. As fake news items have become a global problem, fact-checking services are provided domestically, too. However, these are based on expert-based manual detection, and research to provide technologies that automate the detection of fake news is being actively conducted. As for the existing research, detection is made available based on contextual characteristics of an article and the comparison of a title and the main article. However, there is a limit to such an attempt making detection difficult when manipulation precision has become high. Therefore, this study suggests using a verifying article to decide whether a news item is genuine or not to be affected by article manipulation. Also, to improve the precision of fake news detection, the study added a process to summarize a subject article and a verifying article through the summarization model. In order to verify the suggested algorithm, this study conducted verification for summarization method of documents, verification for search method of verification articles, and verification for the precision of fake news detection in the finally suggested algorithm. The algorithm suggested in this study can be helpful to identify the truth of an article before it is applied to media sources and made available online via various media sources.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.113-123
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• 2024

Stock market news sentiment analysis (SA) aims to identify the attitudes of the news of the stock on the official platforms toward companies' stocks. It supports making the right decision in investing or analysts' evaluation. However, the research on Arabic SA is limited compared to that on English SA due to the complexity and limited corpora of the Arabic language. This paper develops a model of sentiment classification to predict the polarity of Arabic stock news in microblogs. Also, it aims to extract the reasons which lead to polarity categorization as the main economic causes or aspects based on semantic unity. Therefore, this paper presents an Arabic SA approach based on the logistic regression model and the Bidirectional Encoder Representations from Transformers (BERT) model. The proposed model is used to classify articles as positive, negative, or neutral. It was trained on the basis of data collected from an official Saudi stock market article platform that was later preprocessed and labeled. Moreover, the economic reasons for the articles based on semantic unit, divided into seven economic aspects to highlight the polarity of the articles, were investigated. The supervised BERT model obtained 88% article classification accuracy based on SA, and the unsupervised mean Word2Vec encoder obtained 80% economic-aspect clustering accuracy. Predicting polarity classification on the Arabic stock market news and their economic reasons would provide valuable benefits to the stock SA field.

• The Journal of Economics, Marketing and Management
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• v.9 no.4
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• pp.9-18
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• 2021

Purpose: This study examines some successful and failed cases of Korean private universities' profitable business and explores the desirable economic value and direction of their profitable business business operations with a view to shedding light on some clues conducive to their financial health and quality education. Research design, data and methodology: This study reviews news articles, reports and literature to find out Korean universities' financial condition and examines some successful and failed examples of their corporations' profit-making business operations to suggest a direction. Results: Private universities suffer declining enrollments and/or tuition freeze but they lack in making efforts to secure financial health. The reviewed examples of private universities' profit-making business operations suggest both universities and their corporations should first assume the public accountability prior to engaging in diverse business activities. Conclusions: First, to remain financially healthy, university corporations should exert themselves to transform their low-profit-margin lands and buildings into high-profit-margin businesses and to credit the realized income to their school-expense accounts. And, the ultimate purpose of universities' profit-making business operations is to realize a decent income without prejudice to their public accountability for the country and community, while forging a virtuous cycle by investing the income for the betterment of their educational quality and competitiveness.

• The Journal of Information Systems
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• v.32 no.2
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• pp.177-190
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• 2023

Purpose Recently, as a new business marketing tool, short form content focused on fun and interest has been shared as hashtags. By extracting positive and negative keywords from media audiences through comment analysis of social media news, various stakeholders aim to quickly and easily grasp users' opinions on major news. Design/methodology/approach YouTube videos were searched using the YouTube Data API and the results were collected. Video comments were crawled and implemented as HTML elements, and the collection results were checked on the web page. The collected data consisted of video thumbnails, titles, contents, and comments. Comments were word tokenized with the R program, comparing positive and negative dictionaries, and then quantifying polarity. In addition, social network analysis was conducted using divided positive and negative comments, and the results of centrality analysis and visualization were confirmed. Findings Social media users' opinions on issue news were confirmed by analyzing and visualizing the centrality of keywords through social network analysis by dividing comments into positive and negative. As a result of the analysis, it was found that negative objective reviews had the highest effect on information usefulness. In this way, previous studies have been reaffirmed that online negative information has a strong effect on personal decision-making. Corporate marketers will analyze user comments on social network services (SNS) to detect negative opinions about products or corporate images, which will serve as an opportunity to satisfy customers' needs.

• International Journal of Contents
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• v.9 no.1
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• pp.98-103
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• 2013

The study investigated USFK's crisis communication responding to the case of two Koran girls' death. The two girls were hit by an American tank accidently. The accident has resulted in anti-American demonstrations by a large number of South Korean. The current research attempted to see what problems USFK's crisis communication with Korean publics. Through analyzing USFK news release in Korea and Army News (ARNEWS) in America regarding the case, the study answered what crisis communication strategies USFK used and How the USFK responded to the crisis. The results showed that USFK used full apology strategy and its crisis response was immediate, but prior reputation of USFK seemed making USFK's effort fruitless.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.85-94
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• 2013

With the emergence of world wide web, in particular web 2.0 the rapidly growing amount of news articles has created a problem for users in selection of news articles according to their requirements. To overcome this problem different clustering mechanism has been proposed to broadly categorize news articles. However these techniques are totally machine oriented techniques and lack users' participation in the process of decision making for membership of clustering. In order to overcome the issue of zero-participation in the process of clustering news articles in this paper we have proposed a framework for clustering news articles by combining users' judgments that they post on twitter with the news articles to cluster the objects. We have employed twitter hash-tags for this purpose. Furthermore we have computed the credibility of users' based on frequency of retweets for their tweets in order to enhance the accuracy of the clustering membership function. In order to test performance of proposed methodology, we performed experiments on tweets messages tweeted during general election 2013 in Pakistan. Our results proved over claim that using users' output better outcome can be achieved then ordinary clustering algorithms.

• Journal of Information Technology Services
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• v.15 no.1
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• pp.97-111
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• 2016

In the creative economy paradigm, motivation of the opportunity based startup is a continuous concern to policy-makers. Recently, bigdata anlalytics challenge traditional methods by providing efficient ways to identify social trend and hidden issues in the public sector. In this study the authors introduce a case study using social bigdata analytics for conducting policy analysis. A semantic network analysis was employed using textual data from social media including online news, blog, and private bulletin board which create buzz on the startup business. Results indicates that each media has been forming different discourses regarding government's policy on the startup business. Furthermore, semantic network structures from private bulletin board reveal unexpected social burden that hiders opening a startup, which has not been found in the traditional survey nor experts interview. Based on these results, the authors found the feasibility of using social bigdata analysis for policy-making. Methodological and practical implications are discussed.

• The Journal of the Korea Contents Association
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• v.11 no.7
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• pp.100-109
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• 2011

This thesis is a content analysis on whether the proportion of structural element and theme association of television news imagery is different, depending on the historical background, and on what it means, which can be the index of scene-based and realistic report. Most researches of television news are horizontal studies of the same period, making light of vertical studies reflecting the change of age. Therefore, This study analyzed 729 items composed of 11,945 shots extracted from MBC Newsdesk from 1987, to 2007, the samples of which were extracted by systematic random sampling with five years' interval. This content analysis found out that there was high proportion of scene-based and realistic report such as 'sound-bite', 'event footage', 'direct matching' in the year 1987, 2007, and high proportion of 'corroboration shot', 'file footage', 'indirect reference', 'literal matching only' in the year 1997, which revealed the fact that reality-based report had not been faithfully accomplished in 1997.

• English & American cultural studies
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• v.14 no.2
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• pp.207-232
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• 2014

Scholars have considered Chaucer's House of Fame mostly as an ars poetica, in which the poet explores new poetic principles and subject matters, while making few attempts to understand the poem in its historical and social contexts. Investigating the nature of the "tidings" that Chaucer suggests as the new source of his poetic inspiration, this paper argues that the house of Rumor was modeled after late fourteenth century English society that experienced increased appetite for news. The political upheaval during the period from the English Rising in 1381 to the reign of Henry IV in the early fifteenth century produced an unprecedented amount of written and oral propaganda. The proliferation of seditious rumors as well as protests and promulgations during this period indicates how seriously medieval society was engaged with the circulation of news. Particularly, the case of John Shirle in 1381 and the legend about the survival of Richard II demonstrate the subversive power of medieval rumor that often served as a political discourse with which people expressed their oppositions to government. Conspicuous in the activities of both the government and late medieval political protestors was the extensive use of writing. The posting of bills in public places continued until the fifteenth century, when such activities became so common and dangerous that the government had to issue proclamations forbidding the circulation of such seditious writings. The number of extant royal proclamations, written protests, and pamphlets demonstrates that already in the late fourteenth and fifteenth centuries the notion of a discursive public space began to emerge. Whether written or orally transmitted, news and rumor circulated in late medieval England, creating a social space in which people shared their political opinions before the introduction of the early modern print culture. In The House of Fame Chaucer calls attention to the subversiveness of rumor, its potential as a public discourse, and the power of written communication in creating truth in order to appropriate these characteristics for his English poems.