• International Journal of Knowledge Content Development & Technology
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• v.10 no.4
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• pp.65-82
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• 2020

This study examined information sharing and evaluation as determinants of the spread of fake news among Nigerian youths on social media using experience from COVID-19 pandemic. A descriptive survey design was adopted for the study and a Web-based questionnaire (Google Forms) was used to collect data for the study. The total responses of 278 were collected from the participants, which represents the unit of analysis. The finding of the study revealed that most Nigerian youths used Facebook, Twitter, WhatsApp and Instagram to share information on COVID-19. However, only a few Nigerians used Linkedln and other types of social media to share information on COVID-19. It was also found that building a relationship with social media communities, enjoyment and risk taking, and political inclination influence the sharing behavior of Nigerian youths during the COVID-19 pandemic. Results show that social media handle/page found sharing of fake news on COVID-19 especially on the treatment, vaccines numbers of cases and symptoms. The study concludes that there is a positive relationship between information evaluation and the spreading of fake news on COVID-19 among Nigerians. Information sharing and evaluation should be done with the utmost level of objectivity and sincerity.

• Journal of Internet Computing and Services
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• v.25 no.3
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• pp.55-70
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• 2024

This study aims to compare the differences in the carbon neutral agendas of the two countries based on the differing interest positions of the media in the two countries, as well as to analyze the carbon neutral media coverage in South Korea and China. It also seeks to identify the major topics emphasized in the carbon neutral news agenda setting process in the two countries. A total of 49,227 news articles from South Korea and 105,680 news articles from China, covering the period from the declaration of carbon neutrality in both countries in 2020 to May 9, 2022, were collected. CONCOR and topic modeling analyses were performed on these texts. The results found that South Korean media showed a preference for covering carbon neutrality from the perspective of its inhabitants, whereas Chinese media demonstrated a preference for covering carbon neutrality from the viewpoint of the nation. The discourses on coverages largely focus on areas such as energy strategy, business strategy, industrial growth, and international cooperation, with an obvious lack of discourse on the environment. The findings of this study expect to serve as a primary reference in establishing a news coverage strategy which is environmentally sustainable for the media.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.63-74
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• 2023

This study compared news coverage of national and international disasters, Hurricane Katrina and the Haiti Earthquake, using textual analysis of The New York Times and The Washington Post. The results reveal that media framing of the historical cases developed in three stages upon the development of post-disaster relief: (1) Call for humanitarian assistance; (2) New Orleans under anarchy and hopelessness vs. Haiti under scrutiny with hope; and (3) Katrina effects. By framing the outcomes of the hurricane as the "Katrina effect," the media used the disaster as a reference point to explain other economic and political issues. In addition, analysis of relevant statements and press releases confirmed that different social actors involved in the relief process, such as donors, facilitators, and beneficiaries, contributed to the media framing of the issue, although the facilitators were most successful in transferring their own frames to media frames. This study makes important contributions to the field as it looks beyond traditional relationships between quantitative measures of media attention and aid allocation. For governmental and nongovernmental organizations in the area of humanitarian assistance, the findings of this study will assist them in media-relations in the future.

• International Journal of Advanced Culture Technology
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• v.10 no.3
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• pp.104-110
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• 2022

This paper aims to analyze discourse metaphors by paying attention to Seoul mayoral by-election, mainly focusing on election campaign and its related news articles. The 2021 Seoul mayoral by-election was held because the former mayor died in an apparent suicide after he was accused of years of sexual harassment to a former secretary. But in the run-up to the by-election, the newly coined word 'alleged victim' from the ruling party caused a big controversy because the party attempted to deny the authenticity of the secretary's claim by calling her "an alleged victim," instead of "a victim" to defend the former mayor who is a member of the ruling party, implying that the woman's claim is just an allegation with no proof. Thus, this paper has analyzed how news stories were reported with regard to the word 'alleged victim' poser on news stories in two Korean quality newspapers, a conservative newspaper (Chosun Ilbo) and a liberal newspaper (Hankyoreh) from March 1 to April 1, 2021 and analyzed them with the framework of Lakoff and Johnson's Conceptual Metaphor Theory(1980). The findings are as follows: (i) the conservative newspaper reports this issue much more than the liberal newspaper; (ii) both quality newspapers follow the metaphor principles by Conceptual Metaphor Theory; (iii) the conservative newspaper is more likely to follow the Strick Father model (a conservative model) while the liberal newspaper is to follow the Nurturant Parent model (a liberal model), thus indicating that each newspaper's ideology is well represented by the models of Conceptual Metaphor Theory

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.4
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• pp.595-599
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• 2018

Sufficient understanding of oversea construction market status is crucial to get profitability in the international construction project. Plenty of researchers have been considering the news article as a fine data source for figuring out the market condition, since the data includes market information such as political, economic, and social issue. Since the text data exists in unstructured format with huge size, various text-mining techniques were studied to reduce the unnecessary manpower, time, and cost to summarize the data. However, there are some limitations to extract the needed information from the news article because of the existence of various topics in the data. This research is aimed to overcome the problems and contribute to summarization of market status by performing topic modeling with Latent Dirichlet Allocation. With assuming that 10 topics existed in the corpus, the topics included projects for user convenience (topic-2), private supports to solve poverty problems in Africa (topic-4), and so on. By grouping the topics in the news articles, the results could improve extracting useful information and summarizing the market status.

• International Journal of Knowledge Content Development & Technology
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• v.10 no.2
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• pp.19-37
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• 2020

There are limited research questioning the relationship between the disabled community and media, particularly in Malaysia. The lack of awareness and common assumption of specialty towards the disabled community have caused a small amount of local disability researches that question the relationship between the disabled community and the media. This research aims to find out the types of representation of disability in the Malaysian mainstream media, particularly press. Interview with visual disabled personnel and content analysis from news coverage of mainstream press are deployed in the study. The findings indicated the invalidity of disability culture as the misrepresentation of disabled community in Malaysia is not as severe as depicted by scholars because the news coverage focusing on them is getting more positive. Besides that, disabled people are not defensive towards the terms used to refer them as long as media practitioners do not over amplify their disability. The application of charity approach is still common in news coverage to portray the disabled community as victim, and therefore they are partially marginalized due to the misrepresentation in Malaysian mainstream press.

• Korea Trade Review
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• v.45 no.4
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• pp.171-194
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• 2020

Although there is a lot of literature on the effectiveness of regional trade agreements(RTAs), it is usually analyzed only using trade-related theories and data. However, this paper has a differentiation in that we examine the linkage between international trade and financial markets through the stock markets reactions when the trade agreements related news arrived. Specifically, using an event study, we look into the Korea-US free trade agreement(KORUS FTA) which is the most commercially significant FTA in almost two decades for both the countries. Korean stock market generally responded more sensitively to FTA news than the US stock market, especially in 'Auto & Parts', 'Electrical Equipment' and 'Chemicals' industries. And the investors' perception toward the effect of KORUS FTA on Korean industries changed from negative to positive as negotiations proceed. Korea has a comparative advantage in the production of labor-intensive goods relative to US, but the economies of scale hypothesis does not hold.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.5
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• pp.530-539
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• 2002

Recently, there have been a lot of researches to develop an archive system for news videos that usually has a fixed structure. However, since the meta-data representation and storing schemes for news video are different from each other in the previously proposed archive systems, it was very hard to exchange these meta-data. This paper proposes a scheme for news video based on MPEG-7 MDS that is an international standard to represent the contents of multimedia, and a summarization mechanism reflecting the characteristics of shots in the news videos. The proposed scheme for news video uses the MPEG-7 MDS schemes such as VideoSegment and TextAnnotation to keep the original structure of news video, and the proposed summarization mechanism uses a slide-show style presentation of key frames with associated audio to reduce the data size of the summary video.

• The Journal of Economics, Marketing and Management
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• v.10 no.3
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• pp.21-36
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• 2022

Purpose: The purpose of this study is to compare and analyze the enterprise's score index calculated from atypical data and corrected data. Research design, data, and methodology: In this study, news articles which are non-financial information but qualitative data were collected from 2,432 SMEs that has been extracted "square proportional stratification" out of 18,910 enterprises with fixed data and compared/analyzed each enterprise's score index through text mining analysis methodology. Result: The analysis showed that qualitative data can be quantitatively evaluated by region, industry and period by collecting news from SMEs, and that there are concerns that it could be an element of alternative credit evaluation. Conclusion: News data cannot be collected even if one of the small businesses is self-employed or small businesses has little or no news coverage. Data normalization or standardization should be considered to overcome the difference in scores due to the amount of reference. Furthermore, since keyword sentiment analysis may have different results depending on the researcher's point of view, it is also necessary to consider deep learning sentiment analysis, which is conducted by sentence.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.15-21
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• 2019

Research in detecting fake information gained a lot of interest after the US presidential election in 2016. Information from unknown sources are produced in the shape of news, and its rapid spread is fueled by the interest of public drawn to stimulating and interesting issues. In addition, the wide use of mass communication platforms such as social network services makes this phenomenon worse. Poynter Institute created the International Fact Checking Network (IFCN) to provide guidelines for judging the facts of skilled professionals and releasing "Code of Ethics" for fact check agencies. However, this type of approach is costly because of the large number of experts required to test authenticity of each article. Therefore, research in automated fake news detection technology that can efficiently identify it is gaining more attention. In this paper, we investigate fake news detection systems and researches that are rapidly developing, mainly thanks to recent advances in deep learning technology. In addition, we also organize shared tasks and training corpus that are released in various forms, so that researchers can easily participate in this field, which deserves a lot of research effort.