• Title/Summary/Keyword: 루머

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A The Influence of Anonymous Rumors on the Value of Entertainment Companies (익명성 로맨스 루머가 엔터테인먼트 기업의 가치에 미치는 영향)

  • So, ha-eun;Yoo, chang-sok
    • Proceedings of the Korea Contents Association Conference
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    • 2019.05a
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    • pp.77-78
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    • 2019
  • 과거에서 지금까지 연예인의 로맨스 루머는 엔터테인먼트 기업의 측면에서 부정적인 요소였으며 이러한 모습은 기사로도 쉽게 접할 수 있다. 이 연구는 익명성 로맨스 루머가 엔터테인먼트 기업의 가치에 미치는 경제적 영향을 사건 연구 방법을 이용해 살펴보았다. 2013년부터 2017년까지 상장된 기업을 중심으로 총 112건의 로맨스 루머를 수집하였고 80건의 비 익명성 루머. 32건의 익명성 루머로 이루어져있다. 해당 엔터테인먼트의 주식 자료가 분석에 이용되었다. 연예인의 로맨스 정보가 유출된 시점 전후의 비정상 수익률 추정을 통해 연예인에 대한 로맨스 루머 언급에 기업의 가치 변화에 미치는 유의성을 실증적으로 검증하였고, 로맨스 루머에 있어서 익명성에 대한 영향이 비익명성의 영향과 차이가 있는지 비교분석을 하였다. 연구 결과 연예인의 로맨스 루머의 언급 및 유출은 해당 엔터테인먼트 기업의 주가 변동에 통계적으로 유의하지 않은 것으로 나타났으며, 추가적으로 연예인의 특성이 엔터테인먼트 기업의 주가에 어떠한 상이한 영향을 미치는지 또한 살펴보았다. 로맨스 루머의 특성은 '성별', '직업'으로 구분하였고, 이에 대한 분석 결과, 특징에 따라 기업의 가치에 큰 영향이 없는 것으로 관찰되었다. 결론적으로 본 연구는 사건연구 방법을 통해 연예인의 익명성 로맨스 루머가 엔터테인먼트 기업의 가치에 미치는 영향을 실제 시장 데이터를 활용하여 실증적으로 분석하였다는 것에 의미가 있다.

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A Study on Effects of Online Environmental Factors on Online Rumor Behavior (온라인 루머 행동에 대한 온라인 환경 요인의 영향 연구)

  • Kim, Han-Min
    • Journal of Digital Convergence
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    • v.18 no.1
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    • pp.45-52
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    • 2020
  • Online rumor creates psychological stress and image loss for victims. Prior studies related to online rumor did not consider the online environmental factor, despite the fact that online rumor occurs in the online space. Therefore, this study tried to investigate the influence of online characteristics on online rumor. This study considered perceived anonymity, lack of social presence, and perceived dissemination as online characteristics. We established and demonstrated a research model in which online characteristics affect online rumor behavior through attitude toward online rumor. This study obtained the sample of 201 social network users based on the survey and verified the research model using PLS tool. The results provided that perceived anonymity and perceived dissemination influenced online rumor behavior through attitude toward online rumor. On the other hand, lack of social presence was not significant. The findings of this study provide the fact that an individual's online rumor behavior can be caused by online characteristics. This study suggests that we pay attention to the role of perceived anonymity and perceived dissemination for online rumor behavior.

Perception of Rumor by Consumer and Brand Attitude (소비자의 루머 인식과 브랜드 태도)

  • Lee, Won-Jun
    • The Journal of the Korea Contents Association
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    • v.10 no.11
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    • pp.363-370
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    • 2010
  • This paper provides a review of the research on the relationship between consumer rumor and marketing management in general, and rumor's effects on brand in particular. Also corporations' efforts for managing negative rumor were discussed. In the subsequential article, this study analyzes the consumer's perception of the origin of rumors through contents analysis method, and performs ANOVA study in addition to identify if brand assets such as brand loyalty and brand involvement can affect rumor credibility perception significantly. Based on these results, this study considers some implications for brand crisis management and communications. According to the results, a brand rumor can affect both the corresponding brands and competitor's brands at a time and the relationships between existing favorable brand attitude of consumer and rumor credibility are not significant enough.

The relationship between factuality, the Influence of rumors and types of public via social media: A network analysis of rumor diffusion on THAAD (루머의 사실성·파급력과 소셜 미디어를 통해 형성된 공중의 관계: 사드배치 관련 루머의 확산 네트워크 분석)

  • Hong, Juhyun
    • Journal of Internet Computing and Services
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    • v.18 no.6
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    • pp.113-125
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    • 2017
  • This study focused on the difference between the volume of rumors and types of rumors via social media based on case studies and network analysis. Rumors are classified into core statement, peripheral statement, core gossip, and peripheral gossip based on their factuality and influence. The diffusion of opinions via social media is classified into dispersive mob, solid mob, dispersive minority, and solid minority based on the volume of node and its interactivity. The results of this study show that, core gossip is actively dispersed. Users are more interested in the influence of rumor than in rumors that appear the be factual. This study highlighted what the role of government when rumor is diffusing and in the aspect of message what the characteristic of rumor.

Consumer's Negative Brand Rumor Acceptance and Rumor Diffusion (소비자의 부정적 브랜드 루머의 수용과 확산)

  • Lee, Won-jun;Lee, Han-Suk
    • Asia Marketing Journal
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    • v.14 no.2
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    • pp.65-96
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    • 2012
  • Brand has received much attention from considerable marketing research. When consumers consume product or services, they are exposed to a lot of brand related stimuli. These contain brand personality, brand experience, brand identity, brand communications and so on. A special kind of new crisis occasionally confronting companies' brand management today is the brand related rumor. An important influence on consumers' purchase decision making is the word-of-mouth spread by other consumers and most decisions are influenced by other's recommendations. In light of this influence, firms have reasonable reason to study and understand consumer-to-consumer communication such as brand rumor. The importance of brand rumor to marketers is increasing as the number of internet user and SNS(social network service) site grows. Due to the development of internet technology, people can spread rumors without the limitation of time, space and place. However relatively few studies have been published in marketing journals and little is known about brand rumors in the marketplace. The study of rumor has a long history in all major social science. But very few studies have dealt with the antecedents and consequences of any kind of brand rumor. Rumor has been generally described as a story or statement in general circulation without proper confirmation or certainty as to fact. And it also can be defined as an unconfirmed proposition, passed along from people to people. Rosnow(1991) claimed that rumors were transmitted because people needed to explain ambiguous and uncertain events and talking about them reduced associated anxiety. Especially negative rumors are believed to have the potential to devastate a company's reputation and relations with customers. From the perspective of marketer, negative rumors are considered harmful and extremely difficult to control in general. It is becoming a threat to a company's sustainability and sometimes leads to negative brand image and loss of customers. Thus there is a growing concern that these negative rumors can damage brands' reputations and lead them to financial disaster too. In this study we aimed to distinguish antecedents of brand rumor transmission and investigate the effects of brand rumor characteristics on rumor spread intention. We also found key components in personal acceptance of brand rumor. In contextualist perspective, we tried to unify the traditional psychological and sociological views. In this unified research approach we defined brand rumor's characteristics based on five major variables that had been found to influence the process of rumor spread intention. The five factors of usefulness, source credibility, message credibility, worry, and vividness, encompass multi level elements of brand rumor. We also selected product involvement as a control variable. To perform the empirical research, imaginary Korean 'Kimch' brand and related contamination rumor was created and proposed. Questionnaires were collected from 178 Korean samples. Data were collected from college students who have been experienced the focal product. College students were regarded as good subjects because they have a tendency to express their opinions in detail. PLS(partial least square) method was adopted to analyze the relations between variables in the equation model. The most widely adopted causal modeling method is LISREL. However it is poorly suited to deal with relatively small data samples and can yield not proper solutions in some cases. PLS has been developed to avoid some of these limitations and provide more reliable results. To test the reliability using SPSS 16 s/w, Cronbach alpha was examined and all the values were appropriate showing alpha values between .802 and .953. Subsequently, confirmatory factor analysis was conducted successfully. And structural equation modeling has been used to analyze the research model using smartPLS(ver. 2.0) s/w. Overall, R2 of adoption of rumor is .476 and R2 of intention of rumor transmission is .218. The overall model showed a satisfactory fit. The empirical results can be summarized as follows. According to the results, the variables of brand rumor characteristic such as source credibility, message credibility, worry, and vividness affect argument strength of rumor. And argument strength of rumor also affects rumor intention. On the other hand, the relationship between perceived usefulness and argument strength of rumor is not significant. The moderating effect of product involvement on the relations between argument strength of rumor and rumor W.O.M intention is not supported neither. Consequently this study suggests some managerial and academic implications. We consider some implications for corporate crisis management planning, PR and brand management. This results show marketers that rumor is a critical factor for managing strong brand assets. Also for researchers, brand rumor should become an important thesis of their interests to understand the relationship between consumer and brand. Recently many brand managers and marketers have focused on the short-term view. They just focused on strengthen the positive brand image. According to this study we suggested that effective brand management requires managing negative brand rumors with a long-term view of marketing decisions.

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The Diffusion of Rumor Via Twitter : The Diffusion Trend and the User Interactivity in the Korea-U.S. FTA Case (트위터를 통한 루머의 확산 과정 연구: 한미 FTA 관련 루머의 자극성에 따른 의견 확산 추이와 이용자의 상호작용성을 중심으로)

  • Hong, Ju-Hyun;Yun, Hae-Jin
    • Korean journal of communication and information
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    • v.66
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    • pp.59-86
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    • 2014
  • This study explored how rumor is diffused via Twitter and how the characteristics of rumor affect the interactivity among users in the Korea-U.S. FTA case. A key word search located three issues as major ones related to the Korea-U.S. FTA: appendectomy myth, collapse of health insurance, and increases in medicine prices. The arousal of rumor has two dimensions: fact and expression. The fact arousal was the highest in the issue of 'appendectomy myth', and the expression arousal the highest in 'increases in medicine prices'. The rumor diffusion took the 'explosive wave' in the issue of appendectomy myth, the 'latent wave' in the issue of increase in medicine prices, and the 'repetitive wave' in the issue of collapse of health insurance. Correlation analyses revealed a high correlation between the arousal intensity of rumor and the user interactivity in the issue of collapse of health insurance. The study showed that Twitter took a role of diffusing negative messages about the Korea-U.S. FTA. Results implies that government officials and journalists pay attention to Twitter for sensing the public opinion when building policies and managing crises.

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HOT ISSUE-악성 루머에 시달리는 건설 업계 속앓이

  • 윤진섭
    • 주택과사람들
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    • s.221
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    • pp.20-23
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    • 2008
  • 미분양 증가와 고유가.원자재가 인상 등으로 건설 경기가 침체된 가운데 부도를 맞은 건설사들이 늘고 있는 상황에서 건설.금융 업계에 악성 루머가 돌고 있다. 추석 이후 미국발 금융 위기가 터지면서 금융 기관이 자금 대출 규모를 축소하자 건설사들이 돈 구할 곳을 찾지 못해 부도 위기에 처했다는 것이다. 악성 루머에 시달리고 있는 건설 업계의 현황과 속사정을 살펴보았다.

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A Study on Level of Company-Consumer Identification on Company Rumor Impact and Effectiveness of Refutation countered the effect of the difference (기업-소비자 동일시 수준에 따른 기업루머에 대한 반박효과의 차이)

  • Choi, Tae-Ho;Hwang, Ji-MIn;Oh, Dae-Yang
    • Management & Information Systems Review
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    • v.31 no.4
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    • pp.261-286
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    • 2012
  • Rumors are widely prevalent in marketplace and It can be problematic and dangerous for the company's reputation and damages their image. Recently, many companies are given trouble by rumors. As getting invigorates the social media, there is high possibility to shape the vicious rumors without any confirmation whether information is true or not. It affects the companies' reputation and trust they have built for long time, also sales drop off. Despite numerous denials, the rumor persisted, keeping occur again and again all the times. Refutation purposes to decrease levels of belief in a rumor. First, establish Study 1 that a variation in identification influences the impact of a rumor on individuals' beliefs. Furthermore, we analyze the effectiveness of a refutation under varying degree of one's level of identification with the rumor object. According to research result, the response pattern of identification and disidentificaion consumers are very different. Disidentifiers, who engaged in systematic processing, believed the rumor less only when the refutation contained strong arguments. Identifiers, processing heuristically, remained unbelieving in the rumor. Study found that identification is an important moderator of consumer response to negative rumors. These defensive processes alleviate the bad influence of that information, and also can reduce the likelihood of attitude degradation.

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Initial Small Data Reveal Rumor Traits via Recurrent Neural Networks (초기 소량 데이터와 RNN을 활용한 루머 전파 추적 기법)

  • Kwon, Sejeong;Cha, Meeyoung
    • Journal of KIISE
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    • v.44 no.7
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    • pp.680-685
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    • 2017
  • The emergence of online media and their data has enabled data-driven methods to solve challenging and complex tasks such as rumor classification problems. Recently, deep learning based models have been shown as one of the fastest and the most accurate algorithms to solve such problems. These new models, however, either rely on complete data or several days-worth of data, limiting their applicability in real time. In this study, we go beyond this limit and test the possibility of super early rumor detection via recurrent neural networks (RNNs). Our model takes in social media streams as time series input, along with basic meta-information about the rumongers including the follower count and the psycholinguistic traits of rumor content itself. Based on analyzing millions of social media posts on 498 real rumors and 494 non-rumor events, our RNN-based model detected rumors with only 30 initial posts (i.e., within a few hours of rumor circulation) with remarkable F1 score of 0.74. This finding widens the scope of new possibilities for building a fast and efficient rumor detection system.