• The Journal of Society for e-Business Studies
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• v.23 no.4
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• pp.19-39
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• 2018

Recently, fake news has attracted worldwide attentions regardless of the fields. The Hyundai Research Institute estimated that the amount of fake news damage reached about 30.9 trillion won per year. The government is making efforts to develop artificial intelligence source technology to detect fake news such as holding "artificial intelligence R&D challenge" competition on the title of "searching for fake news." Fact checking services are also being provided in various private sector fields. Nevertheless, in academic fields, there are also many attempts have been conducted in detecting the fake news. Typically, there are different attempts in detecting fake news such as expert-based, collective intelligence-based, artificial intelligence-based, and semantic-based. However, the more accurate the fake news manipulation is, the more difficult it is to identify the authenticity of the news by analyzing the news itself. Furthermore, the accuracy of most fake news detection models tends to be overestimated. Therefore, in this study, we first propose a method to secure the fairness of false news detection model accuracy. Secondly, we propose a method to identify the authenticity of the news using the social data broadly generated by the reaction to the news as well as the contents of the news.

• 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.

• Journal of Information Science Theory and Practice
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• v.10 no.1
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• pp.59-72
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• 2022

This text discusses elements and characteristics of contemporary informational reality, that is, the ways of producing, circulating, organizing, using, and appropriating information in the current context. Initially, seven terms and concepts used to describe this reality are discussed: fake news, false testimonials, hate speech, scientific negationism, disinformation, post-truth, and infodemic. Next, an attempt is made to present a framework for such phenomena as an object of study in information science. Therefore, this scenario is characterized based on the three main models of information science study: physical, cognitive, and social. The contribution of each of them to the study of contemporary informational reality is analyzed, identifying aspects such as the bubble effect, clickbaits, confirmation bias, cults of amateurism, and post-truth culture. Finally, it presents the discussion of a possible veritistic turn in the field, in order to think about elements not covered so far by information science in its task and challenge of producing adequate understanding and diagnoses of current phenomena. In conclusion, it is argued that only accurate and comprehensive diagnoses of such phenomena will allow information science to develop services and systems capable of combating their harmful effects.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.513-514
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• 2018

우리 정부는 신기술인 지능정보기술의 효과 실현을 극대화하고, 선진 기술 확보를 가속화하기 위해 기존 추격형을 넘어선 선도형 R&D 지원체계가 필수적인 상황을 인지하고 있다. 특히, 미국 등 선진국에서는 신기술 분야에 대한 효과 극대화와 R&D 촉진을 위해 도전 경쟁형 R&D 지원체계를 활용한 R&D 추진을 활발히 지원하고 있다. 세계적으로 첨단 미개척 인공지능 분야의 연구 진작을 위해 우리정부는 지난 '17년부터 도전형 경쟁형 개방형 R&D 지원 체계인 '인공지능 R&D 챌린지' 도입하여 지원하고 있다. 이에 본 논문에서는 인공지능 R&D 챌린지의 가짜뉴스 찾기를 통해 국내 R&D의 지원방향에 대해 검토해 보았다.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.495-508
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• 2023

To compare whether broadcast fact-checking news, which aims to overcome the limitations of objective reporting, ensures fairness, we analyzed 227 fact-checked news stories aired on the main news of KBS, MBC SBS, TV Chosun, JTBC MBN, and YTN from January 1, 2022 to May 31, 2022, when the 20th presidential and local election campaigns were held. The analysis showed clear differences in fact-checking targets and narratives by broadcasters. In general, MBC, JTBC,and YTN were more likely to favor liberal parties such as the Democratic Party, while TV Chosun had a lot of narratives favoring the conservative camp. SBS and MBN were relatively neutral. KBS seemed to be trying to remain outwardly neutral. SBS and TV Chosun were the most active in fact-checking, but they covered a wide range of issues and were characterized by a bias toward contextualizing issues that viewers were curious about, rather than clarifying the facts. The projection of ideological bias by broadcasters in fact-checking narratives is a challenge that needs to be overcome.

• Journal of the Korean earth science society
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• v.44 no.6
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• pp.533-539
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• 2023

This article reviews a few academic discussions in our geological society. The author presents his opinion on the discussions regarding the ages of the Okcheon Group, Myogog Formation, and hominid footprints of the Jeju Island, as well as on the inaccurate reportage in mass media. The academia advances via healthy debates and discussions. The arguments for and against Darwin's "Origin of Species" and scientific debates regarding Wegener's "Continental Drift Hypothesis" are well known. In academic debates or discussions, authority should not be involved in any form. Academic research should be conducted based on scientific principles and evidence-free of personal preferences or other nonacademic factors. Opponents should challenge with scientific approaches, suggesting alternatives based on science. Opposition without scientific basis is not productive in conducting academic research in search of scientific truth. Often, the news media delivers inaccurate information to the public-intentionally or unintentionally. There must be a mechanism to immediately identify and rectify inaccurate, false, or fake information for the benefit of the public and the credibility of the news media.