• 대한한의학원전학회지
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• 제34권2호
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• pp.127-168
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• 2021

Objectives : First, the time of publication of the writing Jinjeong(陳情), was identified with consideration of current affairs at the time in Hamgyeongdo. Second, the relevance between agricultural policies and military/defense policies were identified. Third, based on these findings, the phrase "洋醜之漁獵頻泊汊 港, 峩人之耕牧恒據沿䐉" was throughly examined within its historical context. Methods : First, the time of publication of the writing Jinjeong(陳情), was identified with consideration of current affairs at the time in Hamgyeongdo. Second, the relevance between agricultural policies and military/defense policies were identified. Third, based on these findings, the phrase "洋醜之漁獵頻泊汊 港, 峩人之耕牧恒據沿䐉" was throughly examined within its historical context. Results & Conclusions : 1. The Jinjeong(陳情) of the Dongmuyugo(東武遺稿) is a writing on crossing borders into the Maritime Province of Siberia, which was written between the end of September and December of 1870. 2. The phrase "洋醜之漁獵頻泊汊港" is related to the incident when a handover line was at anchor in the Unggi harbor three times in 1869. 3. "我人之耕牧恒據沿海" refers to the rumor spread in 1870 about Russia being an ideal country that practiced ideal politics, to the extent of cattle and horse being gifted to immigrants into the country.

• 한국콘텐츠학회논문지
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• 제21권2호
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• pp.652-666
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• 2021

유튜브 채널에서 중국 관련 코로나19 정보의 확산과정을 네트워크 분석을 통해 알아봤다. 중국 관련 코로나19 정보를 사실 정보와 허위정보로 구분했고, 사실 정보는 긍정적, 부정적으로 분류했다. 네트워크 분석결과 부정적 정보와 허위정보가 많았고, 긍정적 정보는 가장 적었다. 허위정보 중에서 우한연구소 유출설 관련 동영상이 많았고, 유전자 조작설 관련 동영상의 조회 수와 매개 중심성 평균이 가장 컸다. 언론사 채널은 허위정보에 대한 팩트 체크보다 있는 그대로 전달하는데 그쳤다. 중국 관련 코로나19 동영상 중 부정적 정보와 허위정보가 많았다는 것은 중국 관련 비판적이거나 자극적인 내용이 유튜버의 관심을 끌었다는 것을 보여준다. 결론적으로 유튜브 채널의 허위정보는 이용자들이 유사한 주제의 동영상을 시청하게 하는 확산 효과를 가져왔다.

• Journal of Information Technology Applications and Management
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• 제19권2호
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• pp.197-215
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• 2012

SNS has been recognized as a means of expanding social capital by promoting interaction and efficient communication among users. On the other hand, there are serious concerns on negative side of social network which is often called epidemics. Trust plays a critical role in controlling the spread of distorted information and vicious rumor as well as reducing uncertainties and risk from unreliable users in social network. This study focuses on what the antecedents of interpersonal trust are in social network. We performed online survey from 252 Twitter users and tested candidate antecedents which are chosen from previous literature. As a result, propensity to trust of trustor, ability and sincerity of trustee, intimacy between trustor and trustee significantly affected to the interpersonal trust in Twitter.

• 한국의사학회지
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• 제17권2호
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• pp.129-144
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• 2004

The King Hyo-Jong is the 17th King in the Chosun dynasty. King Hyo-Jong carried forward the subjugation of the northern areas, but the subjugation of the northern areas was failed for the reason that he was died in 41 years old. After that time, his death is wrapt in a shround of suspicion, such as a rumor of killing by poison. But the cause of his death in direct was the septicemia arised from the boil. Besides, We suppose that he was afflicted with gout and renal failure.

• 한국컴퓨터정보학회논문지
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• 제21권1호
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• pp.139-146
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• 2016

In this paper, we analyze the information asymmetry among investors in online trading environment using rumors which are collected in the Korean stock market for the eleven-year period between January 2004 and December 2014. We find that cumulative abnormal return of sample firms is negative and statistically significant, indicating that a significant fall of the stock price starts before the online disclosure, suggesting that the rumors were reflected in the stock price to a significant extent. Furthermore, individual investors show net purchases on firms prior to disclosure while institutional investors show net sales, showing that individual investors trade unfavorably vis-$\grave{a}$-vis institutional investors. This phenomenon is more evident for the KOSDAQ. This result confirms that the information asymmetry exists between individual and institutional investors in online trading environment.

• 대한산업공학회지
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• 제37권3호
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• pp.163-170
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• 2011

This paper proposes a modified version of Particle Swarm Optimization (PSO) called Information Diffusion PSO (ID-PSO). In PSO algorithms, premature convergence of particles could be prevented by defining proper population topology. In this paper, we propose a variant of PSO algorithm using a new population topology. We draw inspiration from the theory of information diffusion which models the transmission of information or a rumor as one-to-one interactions between people. In ID-PSO, a particle interacts with only one particle at each iteration and they share their personal best solutions and recognized best solutions. Each particle recognizes the best solution that it has experienced or has learned from another particle as the recognized best. Computational experiments on the benchmark functions show the effectiveness of the proposed algorithm compared with the existing methods which use different population topologies.

• 한국독성학회:학술대회논문집
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• 한국독성학회 2003년도 추계학술대회
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• pp.178-178
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• 2003

2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD), a prototype of many halogenated aromatic hydrocarbons, is a ubiquitous, persistent environmental contaminant and the most powerful carcinogen categorized by IARC. It is display high toxicity in animals and is associated with several cancers in human. Although the mechanism of carcinogenesis by TCDD is unclear, it is considered to be a non-genotoxic and rumor promoter.(omitted)

• East Asian mathematical journal
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• 제37권5호
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• pp.599-612
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• 2021

In China, Weibo is one of the social platforms with more users. It has the characteristics of fast information transmission and wide coverage. People can comment on a certain event on Weibo to express their emotions and attitudes. Judging the emotional tendency of users' comments is not only beneficial to the monitoring of the management department, but also has very high application value for rumor suppression, public opinion guidance, and marketing. This paper proposes a two-input Adaboost model based on TextCNN and BiLSTM. Use the TextCNN model that can perform local feature extraction and the BiLSTM model that can perform global feature extraction to process comment data in parallel. Finally, the classification results of the two models are fused through the improved Adaboost algorithm to improve the accuracy of text classification.

• Asia pacific journal of information systems
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• 제30권1호
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• pp.1-20
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• 2020

Malicious rumors often emerge online. However, few studies have examined why people spread online rumors. Recognizing that spreading online rumors is not only rational, but also emotional, this paper provides insights into the behavior of online rumor spreading using the cognitive emotion theory. The results show that perceived credibility of online rumors enhances both positive and negative emotions. However, positive emotions affect neither attitude nor behavior, whereas negative emotions affect both aspects of the spreading of online rumors. The results also indicate that prior positive attitude toward object influences negative emotions. Issues involvement moderates the relationship between attitude and behavior.

• 치위생과학회지
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• 제10권1호
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• pp.45-54
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• 2010

본 연구는 일반치과환자의 대상으로 일반적 특성에 따른 치과 의료기관 선택요인에 관한 중요도와 치과의원과 치과병원의 선택에 중요한 영향을 미치는 정보를 제공하고자 2009년 8월부터 9월까지 조사 한 것으로 SAS(ver 9.1)분석결과 다음과 같은 결론을 얻었다. 1. 일반적 특성에 따른 치과의료기관 선택요인에 관한 중요도를 비교한 결과 연령대에 따 라서 거리, 교통, 주차편리 같은 거동이나 이동성의 편리를 중요하게 생각하고, 최종 학력에 따라서는 치과소문요인의 중요도가 높으며,(p<0.05) 직업에 따라서는 치과소문, 주차편리의 중요도에 유의한 차이가 나타났다.(p<0.05) 소득에 따라서는 전문의 수련 여부요인이 200만원 미만인 집단보다 500만원이상인 집단이 통계적으로 높게 나타났다.(p<0.05) 2. 대상 치과의원을 방문한 환자들의 방문경로는 소문이 23.7%로 가장 많았으며 다음으로 의료진 및 직원의 소개, 가족의 권유가 각각 17.7%로 나타났는데 이는 인터넷이 발달해 있는 지금도 소문이나 가족의 권유 등 구전의 효과가 크다는 것을 알 수 있다. 3. 추천도에 영향을 미치는 요인에서는 Model I에서는 의료진 실력 우수(p=0.013), 의료 정보 획득 편리(p=0.014), 예약제도 편리(p=0.029), 최신시설(p=0.001), 고가 치료비(p=0.027)은 통계적으로도 유의한 결과를 보였으며, Model II에서는 인테리어(p=0.009), 치과 이름(p=0.027)은 통계적으로도 유의한 결과를 보였다. 4. 재이용 의사에 영향을 미치는 요인에서는 Model I에서는 의료정보 획득편리(OR=0.64)와 고가의 치료비(OR=1.74)가 통계적으로 유의한 결과를 보였으며, Model 에서는 야간 및 공휴일 진료여부(OR=1.47)가 통계적으로 유의한 결과를 보였다.