英文摘要
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Lacking of appropriate screening mechanism, the Internet becomes a channel for transmitting rumors. However, negative rumors may influence the sales, profits, reputation, and even stock price of the firms affected by rumors. Previous researchers have discussed the contents, formation, and transmission of rumors. Few studies focus on the denial effect or had not empirical evidences to support their argument. This study tries to provide insights into the belief reduction of the rumors that can help the firms adopt proper refutation strategies.
Enormous variables might be expected to affect receivers' belief including the personal characteristics, the tone of denial source, the source of rumors, and etc. In this study, we examined that f source credibility and receivers' affection toward the source would influence their belief in that rumor. Moreover, due to the difference of receivers' involvement, they may either elaborate the refutation message carefully or adopt the peripheral cues such as sources' characteristics to make the judgment about that rumor. This study adopt social judgment theory, cognitive dissonance theory, balance theory, and elaboration likelihood model to explore the relationships among source credibility, affection, involvement, and the effects on belief reduction.
304 usable questionnaires were collected from undergraduate students at three universities at Taiwan. In this study, we chose a rumor concerning about Microsoft auto-detect technique. It may help us to identify the involvement of the receivers. In the beginning, the respondents were asked to measure their affection and credibility either toward Microsoft or toward a professor teaching in the Department of Information Management. Then, they were asked to read the information (rumor) concerning Microsoft c auto-detect technique and measure their belief and involvement in that information. After that, we provide them with information released either from Microsoft or form the professor claiming that the information concerning Microsoft's auto-detect technique is a rumor. The subjects were asked to re-measure their affection and credibility either toward Microsoft or toward the professor. Finally, we show them the information again and asked them f they believe in the information. After completing the questionnaire, subjects were debriefed using the statement regarding the truth of the rumor.
Several statistics technique including descriptive statistics, t-test, cluster analysis, Pearson correlation, linear structural relation, X^2, and MANOVA were used for analysis. According to the results, 93 (30.6%) respondents did reduce their belief in that rumor, 164 (53.9%) respondents still remain the same, and 47 (15.5%) respondents even put more belief in the rumor. From the results we obtained, the denial efforts may be effective in reducing the belief in rumors. However the causes of negative effect may need further discussion. To facilitate further discussion of the impact of personal involvement, respondents were classified into high or low involvement groups. Results show that both source credibility and involvement have significant influences on belief reduction. And further, source credibility and affection have more influence on low involvement group than on high involvement group.
In order to further examine the effects of personal involvement and affection on denial effects, this study also classified the respondents into four groups, namely high involvement and high affection group, high involvement and low affection group, low involvement and high affection group, low involvement and low affection group. Through multiple comparisons, we find that respondents reduced their belief in that rumor not only relied on their initial involvement or affection status. Those who are in the high involvement and high affection group are easily changing their on the rumor or shifting their affection toward the denial source.
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参考文献
|
-
Allport, G. W.,L. J. Postman(1947).The Psychology of Rumor.New York:Holt, Rinehart & Winston.
-
Bagozzi, R. P.,Y. Yi(1998).On the Evaluation of Structural Equation Model.Journal of the Academy of Marketing Science,16(1),74-94.
-
Boomsma, A.,J. J. Hoogland(2001).Structural Equation Models: Present and Future- A Festschrift in honor of Karl Jöreskog.Chicago:Scientific Software International.
-
Bordia, P.,N. DiFonzo,C. A. Schulz(2000).Source Characteristics in Denying Rumors of Organizational Closure: Honesty is the Best Policy.Journal of Applied Social Psychology,30(11),2309-2321.
-
Bordia, P.,N. DiFonzo,V. Travers(1998).Denying Rumors of Organizational Change: A Higher Source is Not Always Better.Communication Research Reports,15(2),188-197.
-
Browne, M. W.(1984).Asymptotically distribution-free methods for the analysis of covariance structure.British Journal of Mathematics and Statistical Psychology,37,62-83.
-
Caputo, P. A.(1977).Rumor of War.New York:Basic Book.
-
Chen, Cheng-Chang,Cherng, Biing-Lin(1994).SPSS, SAS, BMDP Statistical Software Application.Taipei:Wu Nan Book Inc..
-
DiFonzo, N.,P. Bordia(2000).How Top PR Professionals Handle Hearsay: Corporate Rumors, Their Effects, and Strategies to Manage Them.Public Relations Review,26(2),173-190.
-
DiFonzo, N.,P. Bordia(2002).Corporate Rumor Activity, Belief and Accuracy.Public Relations Review,28,1-19.
-
DiFonzo, N.,P. Bordia(1994).Reining in Rumors.Organizational Dynamics,23,47-62.
-
Festinger L.(1957).A Theory of Cognitive Dissonance.Stanford, CA:Stanford University Press.
-
Gotlieb, J. B.,D. Sarel(1990).An Application of the Elaboration Likelihood Model.Journal of the Academy of Marketing Science,18(3),221-228.
-
Gunther, A. C.(1992).Biased Press or Biased Public: Attitudes toward Media Coverage of Social Groups.Public Opinion Quarterly,56(2),147-167.
-
Gunther, A. C.,D. L. Lasorsa(1986).Issue Importance and Perception of a Hostile Media.Journalism Quarterly,63,844-848.
-
Heider, F.(1958).The Psychology of Interpersonal Relations.New York:Wiley.
-
Holbrook, B. M.(1981).Integrating Compositional and Decompositional Analyses to Represent the Intervening Role of Perception in Evaluative Judgements.Journal of Marketing Research,18,13-28.
-
Hovland, C. I.,I. L. Janis,H. H. Kelley(1953).Communication and Persuasion.Yale University Press.
-
Huang, Fa-Ming(2002).Structural Equation Modeling: Theory and Application.Taipei:Wu Nan Book Inc.
-
Iyer, E. S.,K. Debevec(1991).Origin of Rumor and Tone of Message in Rumor Quelling Strategies.Psychology and Marketing,8,161-175.
-
Jaeger, M. E.,S. Anthony,R. L. Rosnow(1980).Who Hears What from Whom and What Effect: A Study of Rumor.Personality and Psychology,6,473-478.
-
Jöreskog, K. G.,D. Sörbom(1989).PRELIS-A Program for Multivariate Data Screening and Data Summarization.Scientific Software Inc..
-
Kapferer, J. N.(1990).Rumors-Uses, Interpretations, and Images.New Brunswick:Transaction Publishers.
-
Kerlinger, F. N.,H. B. Lee(2001).Foundations of Behavior Research.Harcourt College Publishers.
-
Kim, J.,A. M. Rubin(1997).The Value Influence of Attitude Activity on Media Effects.Communication Research,24(2),107-135.
-
Knapp, R. H.(1944).A Psychology of Rumor.Public Opinion Quarterly,53,467-481.
-
Larson, C. U.(1995).Persuasion: Reception and Responsibility.CA:Wadsworth, Belmont.
-
Lichtenstein, D. R.,O. B. William(1989).Contextual Influences on Perception of Merchant-Supplied References Prices.Journal of Consumer Research,16,55-66.
-
Menon, G.,R. D. Jewell,H. R. Unnava(1999).When a Company Does not Respond to Negative Publicity: Cognitive Elaboration v.s. Negative Affect Perspective.Advances in Consumer Research,26,325-329.
-
Mittal, B.(1995).A Comparative Analysis of Four Scales of Involvement.Psychology & Marketing,12,663-682.
-
Olsson, U. H.,T. Foss,S. V. Troye,R. D. Howell(2000).The Performance of ML, GLS, WLS Estimation in structural equation modeling under conditions of misspecification and nonnormality.Structural Equation Modeling,7(4),557-595.
-
Osgood, C.,P. H. Tannenbaum(1955).The Principle of Congruity in the Prediction of Attitude Change.Psychology Review,62,42-55.
-
Pendleton, S. C.(1998).Rumor Research Revisited and Expanded.Language & Communication,18,69-86.
-
Peterson, W.,N. Gist(1951).Rumor and Public Opinion.America Journal of Sociology,57,159-167.
-
Petty, R. E. J. T. Cacioppo,D. Schumann(1983).Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement.Journal of Consumer Research,10,135-146.
-
Petty, R. E.,J. T. Cacioppo(1983).Advertising and Consumer Psychology.Lexington Books:Lexington, MA.
-
Petty, R. E.,J. T. Cacioppo,D. Schumann(1981).Attitude and Persuasion: Classic and Contemporary Approaches.Dubuque, IA:Wm. C. Brown.
-
Priester, J. R.,R. E. Petty(1995).Source Attributions and Persuasion: Perceived Honesty as a Determinant Message Scrutiny.Personality and Social Psychology Bulletin,21,637-654.
-
Rhine, R. E.,L. J. Severance(1970).Ego-Involvement, Discrepancy, Source Credibility, and Attitude Chang.Journal of Personality and Social Psychology,16(2),175-190.
-
Rosnow, R.(1988).Rumor as Communication: A Contextual Approach.Journal of Communication,38,1-17.
-
Schiffman, L. G.,L. L. Kanuk(1991).Consumer Behavior.Prentice Hall.
-
Sherif, M.,C. I. Hovland(1961).Social Judgement: Assimilation amid Contrast Effects in Communication and Attitude Change.Yale University Press.
-
Shibutani T.(1966).Improvised News: A Sociological Study of Rumor.Indianapolis, IN:Bobbs-Merrill.
-
Sörbom, D.,K. G. Jöreskog(1982).A Second Generation of Multivariate Analysis.New York:Praeger Publishers.
-
Tamimi N.(1998).A Second-Order Factor Analysis of Critical TQM Factors.The International Journal of Quality Science,3(1),71-79.
-
Wang, Chih-Chien,Fang, Wen-Chang(2000).Users` Perceptions of Source Credibility of BBS.Journal of Commercial Modernization,1(2),24-30.
-
Wang, Chih-Chien,Lai , Ming-Cheng(2001).Consumers` Attitude to Rumors on BBS.The Journal of Advertising & Public Relations,16,31-54.
-
Wang, Chih-Chien,Lo, Shao-Kang(2002).A Content Analysis Study for Internet Rumors.Journal of Information, Technology and Society,2(1),131-148.
-
West, M. D.(1994).Validing a Scale for the Measurement of Credibility: A Covariance Structure Model Approach.Journalism Quarterly,71(1),159-168.
-
Wu, Yi-Chen,Hsu, Wei-Shuan(2002).The Implication and Resolution of Internet Rumor Transmission: An Exploratory Study on Corporate Internet Rumors.2002 Internet Society Conference
-
Zajonc, R. B.(1971).Attitude Change: The Competing Views.Chicago, Ill:Aldine Atherton.
-
Zaltman, G.,M. Wallendorf(1983).Consumer Behavior: Basic Finding and Management Implication.John Wiley & Sons.
-
Zhang, Y.,R. Buda(1999).Moderating Effects of Need for Cognition on Responses to Positively versus Negatively Framed Advertising Messages.Journal of Advertising,28(2),1-15.
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