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1

J. Kitchen, Philip, Gayle Kerr, Don E. Schultz, Rod McColl, and Heather Pals. "The elaboration likelihood model: review, critique and research agenda." European Journal of Marketing 48, no. 11/12 (2014): 2033–50. http://dx.doi.org/10.1108/ejm-12-2011-0776.

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Purpose – The purpose of this paper is to review, critique and develop a research agenda for the Elaboration Likelihood Model (ELM). The model was introduced by Petty and Cacioppo over three decades ago and has been modified, revised and extended. Given modern communication contexts, it is appropriate to question the model’s validity and relevance. Design/methodology/approach – The authors develop a conceptual approach, based on a fully comprehensive and extensive review and critique of ELM and its development since its inception. Findings – This paper focuses on major issues concerning the EL
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Billard, Thomas J. "Experimental Evidence for Differences in the Prosocial Effects of Binge-Watched Versus Appointment-Viewed Television Programs." Journalism & Mass Communication Quarterly 96, no. 4 (2019): 1025–51. http://dx.doi.org/10.1177/1077699019843856.

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This study investigated the influence of television consumption patterns on changes in attitudes toward depicted social out-groups. Participants were randomly assigned to view six episodes of Amazon’s Transparent, a comedy-drama program about a family whose father comes out as a transgender woman, in either one 3-hr (“binge-watching”) session or six weekly half-hour (“appointment-viewing”) sessions. Across both groups, we found exposure to the narrative reduced anti-transgender prejudice. Counter to the predictions of the extended elaboration likelihood model and the entertainment overcoming r
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Bae, Hyuhn-Suhck, Doohwang Lee, and Rosie EunGyuhl Bae. "Emotional engagement with the plot and characters." Narrative Inquiry 24, no. 2 (2014): 309–27. http://dx.doi.org/10.1075/ni.24.2.07bae.

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Based on the Extended-Elaboration Likelihood Model and the Entertainment Overcoming Resistance Model, this study examines the relationships between several variables believed to moderate or mediate narrative effects, including (a) prior issue/topic involvement; (b) plot engagement (transportation); (c) character affiliation/alignment (sympathy and empathy); and (d) narrative-consistent behavioral intentions. The results based on respondents who viewed a movie detailing the abuse of hearing-impaired individuals indicate that prior involvement predicted narrative transportation and emotions (bot
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Chaoguang, Huo, Ma Feicheng, Qiu Yifei, and Wang Yuchao. "Exploring the determinants of health knowledge adoption in social media." Information Development 34, no. 4 (2017): 346–63. http://dx.doi.org/10.1177/0266666917700231.

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Health knowledge plays an important role in health education and promotion, in providing critical services to the global population and helping them live healthier lives and make informed health decisions. This study explores what determines health knowledge adoption in the context of Chinese social media, and attempts to explain why there is a gap between health knowledge adoption intention and behavior. Based on the ELM (elaboration likelihood method) and EPPM (extended parallel process model), this paper proposes four processes of health knowledge adoption to construct an explanatory framew
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Niederdeppe, Jeff, Rosemary J. Avery, and Emily Elizabeth Namaste Miller. "Theoretical Foundations of Appeals Used in Alcohol-Abuse and Drunk-Driving Public Service Announcements in the United States, 1995-2010." American Journal of Health Promotion 32, no. 4 (2017): 887–96. http://dx.doi.org/10.1177/0890117117706422.

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Purpose: The study identifies the extent to which theoretical constructs drawn from well-established message effect communication theories are reflected in the content of alcohol-related public service announcements (PSAs) airing in the United States over a 16-year period. Design: Content analysis of 18 530 141 alcohol-abuse (AA) and drunk-driving (DD) PSAs appearing on national network and local cable television stations in the 210 largest designated marketing areas (DMAs) from January 1995 through December 2010. Measures: The authors developed a detailed content analytic codebook and trained
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Li, Xuechun, Yuehuan Tang, Ningrui Yang, Ruiyao Ren, Haichao Zheng, and Haibo Zhou. "The value of information disclosure and lead investor in equity-based crowdfunding." Nankai Business Review International 7, no. 3 (2016): 301–21. http://dx.doi.org/10.1108/nbri-01-2016-0002.

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Purpose How to free the potential power of the capital market while simultaneously protecting the investors is critical in equity-based crowdfunding. To realize these goals, the purpose of this study was to investigate the value of information disclosure and leader-follower mechanism which have been widely adopted by crowdfunding platforms. Design/methodology/approach Based on the Elaboration Likelihood Model (ELM), a research framework was developed. Then, the authors conducted an in-depth exploratory empirical study of Dajiatou (www.dajiatou.com) which is a typical equity-based crowdfunding
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7

Chmielewski, Terry L. "Applying the Elaboration Likelihood Model to Voting." International Journal of Interdisciplinary Social Sciences: Annual Review 6, no. 10 (2012): 33–48. http://dx.doi.org/10.18848/1833-1882/cgp/v06i10/52160.

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8

Stoltenberg, Cal D., Mark M. Leach, and Avery Bratt. "The Elaboration Likelihood Model and Psychotherapeutic Persuasion." Journal of Cognitive Psychotherapy 3, no. 3 (1989): 181–99. http://dx.doi.org/10.1891/0889-8391.3.3.181.

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The psychotherapeutic process has long been considered a context for persuasion. The Elaboration Likelihood Model of Persuasion provides an integrative framework from which to examine the process of persuasion in psychotherapy. Various source, message, recipient, and context factors interact in a complex manner to produce attitude change. Two routes to persuasion are presented and their relevance for psychotherapy are discussed. The central route requires more effort and more active cognitive processing on the part of the client, resulting in relatively permanent attitudes that are predictive
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9

Gotlieb, Jerry B., and John E. Swan. "An application of the elaboration likelihood model." Journal of the Academy of Marketing Science 18, no. 3 (1990): 221–28. http://dx.doi.org/10.1007/bf02726473.

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10

McAlister, Anna R., and Danielle Bargh. "Dissuasion: the Elaboration Likelihood Model and young children." Young Consumers 17, no. 3 (2016): 210–25. http://dx.doi.org/10.1108/yc-02-2016-00580.

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Purpose The Elaboration Likelihood Model (ELM) proposes two routes to persuasion – the central route (persuasion occurs via information) and the peripheral route (persuasion occurs via visual cues, attractive actors and other source characteristics). The central route is typically used for high-involvement decisions and the peripheral route is used in low involvement situations. The ELM has received extensive support when tested with adults; however, its ability to explain young children’s responses to persuasive communications has not been fully tested. Hence, the purpose of this research is
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11

Morris, Jon D., ChongMoo Woo, and A. J. Singh. "Elaboration likelihood model: A missing intrinsic emotional implication." Journal of Targeting, Measurement and Analysis for Marketing 14, no. 1 (2005): 79–98. http://dx.doi.org/10.1057/palgrave.jt.5740171.

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12

Mongeau, Paul A., and James B. Stiff. "Specifying Causal Relationships in the Elaboration Likelihood Model." Communication Theory 3, no. 1 (1993): 65–72. http://dx.doi.org/10.1111/j.1468-2885.1993.tb00057.x.

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13

Browning, Nicholas, Osenkor Gogo, and Marvin Kimmel. "Comprehending CSR messages: applying the elaboration likelihood model." Corporate Communications: An International Journal 23, no. 1 (2018): 17–34. http://dx.doi.org/10.1108/ccij-07-2017-0068.

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Purpose Using the elaboration likelihood model as a framework, the purpose of this paper is to investigate the effects of cause involvement, ability to process, and motivation to process on consumer judgments of organizational image following exposure to a corporate social responsibility (CSR) message. Design/methodology/approach This study relies upon an experimental manipulation of message complexity and uses quantitative survey data. The data were analyzed via tests of means differences, hierarchical multiple OLS regression, and mediation analysis. Findings The authors found that CSR’s infl
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14

Patnaik, Esha. "Elaboration Likelihood Model: The Cognitive Route to Advertising Effect." International Journal of Interdisciplinary Social Sciences: Annual Review 1, no. 1 (2006): 133–40. http://dx.doi.org/10.18848/1833-1882/cgp/v01i01/51780.

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15

White, Paul H., and Stephen G. Harkins. "Race of source effects in the Elaboration Likelihood Model." Journal of Personality and Social Psychology 67, no. 5 (1994): 790–807. http://dx.doi.org/10.1037/0022-3514.67.5.790.

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16

Frewer, Lynn J., Chaya Howard, Duncan Hedderley, and Richard Shepherd. "The Elaboration Likelihood Model and Communication About Food Risks." Risk Analysis 17, no. 6 (1997): 759–70. http://dx.doi.org/10.1111/j.1539-6924.1997.tb01281.x.

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17

McNeill, Brian W., and Cal D. Stoltenberg. "Reconceptualizing social influence in counseling: The Elaboration Likelihood Model." Journal of Counseling Psychology 36, no. 1 (1989): 24–33. http://dx.doi.org/10.1037/0022-0167.36.1.24.

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18

McNeill, Brian W., and Cal D. Stoltenberg. "A test of the Elaboration Likelihood model for therapy." Cognitive Therapy and Research 12, no. 1 (1988): 69–79. http://dx.doi.org/10.1007/bf01172781.

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19

Zotos, Yiorgos, Steven Lysonski, and Peter Martin. "Elaboration Likelihood Model and Locus of Control: Is There a Connection?" Psychological Reports 70, no. 3_suppl (1992): 1051–56. http://dx.doi.org/10.2466/pr0.1992.70.3c.1051.

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This study uses the Elaboration Likelihood Model of persuasion to explore information-processing activities according to locus of control. A 3 × 2 × 2 factorial design was used with a sample of 317 to assess whether locus of control accounts for individual differences in cognitive processing of advertising stimuli related to credibility and message factors according to the Elaboration Likelihood Model. The results of the multivariate analysis of variance suggested that locus of control does not explain the processing of advertising information. Implications are discussed.
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20

Bhattacherjee and Sanford. "Influence Processes for Information Technology Acceptance: An Elaboration Likelihood Model." MIS Quarterly 30, no. 4 (2006): 805. http://dx.doi.org/10.2307/25148755.

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21

Widiastuti, Tuti Widiastuti. "ANALISIS ELABORATION LIKELIHOOD MODEL DALAM PEMBENTUKAN PERSONAL BRANDING DI TWITTER." Jurnal ASPIKOM 3, no. 3 (2017): 588. http://dx.doi.org/10.24329/aspikom.v3i3.107.

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This study sought to look at the fact that twitter can shape one’s personal branding, then on the basis of this research is compiled on how the analysis elaboration likelihood model in the formation of personal branding in social media. The method used in this research is quantitative content analysis method. The study population was the whole text or tweets made by Ridwan Kamil through his twitter account (@ridwankamil). This study shows, twitter contents can shape one’s personal branding. Establishment of personal branding can be done through posts made in his twitter. The formation of perso
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22

Forret, Monica L., and Daniel B. Turban. "Implications of the Elaboration Likelihood Model for interviewer decision processes." Journal of Business and Psychology 10, no. 4 (1996): 415–28. http://dx.doi.org/10.1007/bf02251778.

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23

Cho, Chang-Hoan. "How Advertising Works on the WWW: Modified Elaboration Likelihood Model." Journal of Current Issues & Research in Advertising 21, no. 1 (1999): 34–50. http://dx.doi.org/10.1080/10641734.1999.10505087.

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24

Sher, Peter J., and Sheng-Hsien Lee. "Consumer skepticism and online reviews: An Elaboration Likelihood Model perspective." Social Behavior and Personality: an international journal 37, no. 1 (2009): 137–43. http://dx.doi.org/10.2224/sbp.2009.37.1.137.

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Online consumers vary in their tendency to believe or disbelieve online reviews. Based on an Elaboration Likelihood Model (ELM; Petty & Cacioppo, 1981, 1986), the present study tested the effects of consumer skepticism on online consumers. A total of 278 undergraduates expressed their attitudes about a product in an online experiment. Two findings emerged from the results. First, highly skeptical consumers tend to base their attitudes on intrinsic beliefs instead of situational factors; that is, they are biased against certain types of information and indifferent to the message quality. Se
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25

Weilbaker, Dan C., and James S. West. "Application of the Elaboration Likelihood Model to Teaching Personal Selling." Marketing Education Review 2, no. 2 (1992): 37–43. http://dx.doi.org/10.1080/10528008.1992.11488365.

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26

Heesacker, Martin. "Counseling pretreatment and the Elaboration Likelihood Model of attitude change." Journal of Counseling Psychology 33, no. 2 (1986): 107–14. http://dx.doi.org/10.1037/0022-0167.33.2.107.

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27

Allison, Thomas H., Blakley C. Davis, Justin W. Webb, and Jeremy C. Short. "Persuasion in crowdfunding: An elaboration likelihood model of crowdfunding performance." Journal of Business Venturing 32, no. 6 (2017): 707–25. http://dx.doi.org/10.1016/j.jbusvent.2017.09.002.

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28

Hardy, Anne, Oskaras Vorobjovas-Pinta, and Richard Eccleston. "Enhancing knowledge transfer in tourism: An Elaboration Likelihood Model approach." Journal of Hospitality and Tourism Management 37 (December 2018): 33–41. http://dx.doi.org/10.1016/j.jhtm.2018.09.002.

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29

Siu, Wanda. "Extended Parallel Process Model and H5N1 Influenza Virus." Psychological Reports 102, no. 2 (2008): 539–50. http://dx.doi.org/10.2466/pr0.102.2.539-550.

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This study integrated the Extended Parallel Process Model and forewarning cues to assess the promotion of preventive measures against the H5N1 influenza virus, a significant health threat that affects Asia, Europe, and the USA. There are two types of forewarning, (1) telling the audience that they will hear messages intended to persuade them and (2) telling the audience the topic and stance of the impending persuasive message. Analysis of ratings by 265 undergraduates indicated that forewarnings of the topic and stance of a promotional message on the H5N1 virus facilitated elaboration of copin
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MacDonald, Edith, Taciano Milfont, and Michael Gavin. "Applying the Elaboration Likelihood Model to increase recall of conservation messages and elaboration by zoo visitors." Journal of Sustainable Tourism 24, no. 6 (2015): 866–81. http://dx.doi.org/10.1080/09669582.2015.1091464.

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31

Douglas, Scott C., Christian Kiewitz, Mark J. Martinko, Paul Harvey, Younhee Kim, and Jae UK Chun. "Cognitions, Emotions, and Evaluations: An Elaboration Likelihood Model for Workplace Aggression." Academy of Management Review 33, no. 2 (2008): 425–51. http://dx.doi.org/10.5465/amr.2008.31193490.

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Tam, Kar Yan, and Shuk Ying Ho. "Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective." Information Systems Research 16, no. 3 (2005): 271–91. http://dx.doi.org/10.1287/isre.1050.0058.

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Karson, Eric J., and Pradeep K. Korgaonkar. "An Experimental Investigation of Internet Advertising and the Elaboration Likelihood Model." Journal of Current Issues & Research in Advertising 23, no. 2 (2001): 53–72. http://dx.doi.org/10.1080/10641734.2001.10505120.

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Petty, Richard E., Martin Heesacker, and Jan N. Hughes. "The elaboration likelihood model: Implications for the practice of school psychology." Journal of School Psychology 35, no. 2 (1997): 107–36. http://dx.doi.org/10.1016/s0022-4405(97)00003-4.

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ZOTOS, YIORGOS. "ELABORATION LIKELIHOOD MODEL AND LOCUS OF CONTROL: IS THERE A CONNECTION?" Psychological Reports 70, no. 4 (1992): 1051. http://dx.doi.org/10.2466/pr0.70.4.1051-1056.

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Glassman, Tavis, Peter Paprzycki, Thomas Castor, et al. "Using the Elaboration Likelihood Model to Address Drunkorexia among College Students." Substance Use & Misuse 53, no. 9 (2017): 1411–18. http://dx.doi.org/10.1080/10826084.2017.1409766.

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Oh, Hyunjoo, and Cynthia R. Jasper. "Processing of Apparel Advertisements: Application and Extension of Elaboration Likelihood Model." Clothing and Textiles Research Journal 24, no. 1 (2006): 15–32. http://dx.doi.org/10.1177/0887302x0602400102.

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38

Eckert, James A., and Thomas J. Goldsby. "Using the elaboration likelihood model to guide customer service‐based segmentation." International Journal of Physical Distribution & Logistics Management 27, no. 9/10 (1997): 600–615. http://dx.doi.org/10.1108/09600039710188657.

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39

Gregory, Christina K., Adam W. Meade, and Lori Foster Thompson. "Understanding internet recruitment via signaling theory and the elaboration likelihood model." Computers in Human Behavior 29, no. 5 (2013): 1949–59. http://dx.doi.org/10.1016/j.chb.2013.04.013.

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40

Gu, Jie, Yunjie (Calvin) Xu, Heng Xu, Cheng Zhang, and Hong Ling. "Privacy concerns for mobile app download: An elaboration likelihood model perspective." Decision Support Systems 94 (February 2017): 19–28. http://dx.doi.org/10.1016/j.dss.2016.10.002.

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Kim, Ee-Hwan, Liu Fan, Sang-Chul Lee, and Yung-Ho Suh. "Continuous Usage Intention of Twitter's Informations Focus on Elaboration Likelihood Model." Journal of the Korea society of IT services 11, no. 3 (2012): 49–65. http://dx.doi.org/10.9716/kits.2012.11.3.049.

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42

Li, Xiaobo, Ting Wu, and Jianhong Ma. "How leaders are persuaded: An elaboration likelihood model of voice endorsement." PLOS ONE 16, no. 5 (2021): e0251850. http://dx.doi.org/10.1371/journal.pone.0251850.

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Organizations need both employee voice and managerial endorsement to ensure high-quality decision-making and achieve organizational effectiveness. However, a preponderance of voice research focuses on employee voice with little attention paid to voice endorsement. Building on the social persuasion theory of the elaboration likelihood model, we systematically examine the sender and receiver determinants of voice endorsement and how the interplay of those determinants affects voice endorsement. By empirically analyzing 168 paired samples, we find that issue-relevant information, i.e., voicer cre
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Yang, Kai, and Mahammad Malikov. "EVALUATION OF DYNAMIC CHANGES OF CONSUMERS' ONLINE REVIEWS FROM THE ELABORATION LIKELIHOOD MODEL METHOD." SCIENTIFIC WORK 65, no. 04 (2021): 17–23. http://dx.doi.org/10.36719/2663-4619/65/17-23.

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One of the essential models that explain the concept of persuasion is the Elaboration Probability Model, which argues that there are two processes in the persuasion process, namely central and environmental persuasion. İt is thought that the article, including a detailed explanation of the model and information about the model, filled a gap in this regard. The research findings show that the model is mainly used in marketing and advertising studies. In terms of the level of affecting the probability of elaboration, the feature subject to the most significant number of studies is interesting. I
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OHANA, Kyosuke, Yukio HIROSE, and Satoshi FUJII. "EFFECT OF PROCEDURAL FAIRNESS ON NIMBY TYPED PROJECT FROM ELABORATION LIKELIHOOD MODEL." Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 69, no. 4 (2013): 267–75. http://dx.doi.org/10.2208/jscejipm.69.267.

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Yhee, Ye Rin, Jong Chul Kim, and Chul Mo Koo. "A Study on The Selection of Convention Agenda Modifying Elaboration Likelihood Model." Journal of Korea Service Management Society 21, no. 1 (2020): 70–90. http://dx.doi.org/10.15706/jksms.2020.21.1.003.

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Indrawati, NFN. "ANALISIS ELABORATION LIKELIHOOD MODEL DALAM KALIMAT PERSUASI KAMPANYE PRESIDEN 2019 DI FACEBOOK." UNDAS: Jurnal Hasil Penelitian Bahasa dan Sastra 15, no. 2 (2019): 175. http://dx.doi.org/10.26499/und.v15i2.1741.

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Facebook is a tool for effective and efficient persuasion with fast time and relatively inexpensive cost for campaigns. This research aims to reveal some types of sentence persuasion, through the elaboration analysis of likelihood model on Facebook This research uses qualitative content analysis methods. Qualitative content analysis is a systematic analysis to analyze the content of messages and to process messages that can not be separated from the interests of the message maker. The data the authors take in this study is data contained on Facebook from February to April 2019. The Data in thi
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Flynn, B. S., J. K. Worden, J. Y. Bunn, S. W. Connolly, and A. L. Dorwaldt. "Evaluation of smoking prevention television messages based on the elaboration likelihood model." Health Education Research 26, no. 6 (2011): 976–87. http://dx.doi.org/10.1093/her/cyr082.

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COOK, ANDREW J., KEVIN MOORE, and GARY D. STEEL. "The Taking of a Position: A Reinterpretation of the Elaboration Likelihood Model." Journal for the Theory of Social Behaviour 34, no. 4 (2004): 315–31. http://dx.doi.org/10.1111/j.1468-5914.2004.00252.x.

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Chiang, Kuan-Pin, and Anita Jackson. "Health literacy and its outcomes: Application and extension of elaboration likelihood model." International Journal of Healthcare Management 6, no. 3 (2013): 152–57. http://dx.doi.org/10.1179/2047971913y.0000000041.

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50

Stephenson, Michael T., William L. Benoit, and David A. Tschida. "Testing the mediating role of cognitive responses in the elaboration likelihood model." Communication Studies 52, no. 4 (2001): 324–37. http://dx.doi.org/10.1080/10510970109388567.

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