نوع مقاله : مقاله علمی پژوهشی

نویسندگان

1 دانشجوی دکتری تخصصی علوم ارتباطات اجتماعی، دانشکده علوم انسانی و اجتماعی،دانشگاه آزاد اسلامی واحد علوم و تحقیقات،تهران، ایران

2 دانشیارگروه علوم ارتباطات اجتماعی، دانشکده علوم انسانی و اجتماعی،دانشگاه آزاد اسلامی واحد علوم و تحقیقات،تهران، ایران

3 استاد گروه ارتباطات اجتماعی، دانشکده علوم ارتباطات، دانشگاه علامه طباطبائی، تهران، ایران

چکیده

چکیده:
امروزه نقش واهمیت رسانه ها در اطلاع رسانی و شکل دهی به افکار عمومی بر کسی پوشیده نیست ودر میان انواع رسانه ها،رسانه های اجتماعی با تحولاتی که در ابعاد مختلف فناوری، تجهیزات، حجم و روش داشته اند، می توانند به عنوان حامل و فرستنده پیام دراقناع افکار عمومی بیشترین تاثیرراداشته باشند.تحقیق حاضرباهدف شناسایی مولفه های الگوی اقناع افکار عمومی در رسانه های اجتماعی انجام شده ورویکرد پژوهش از نوع کیفی با استفاده از راهبرد سنتز پژوهی میباشد. جامعه آماری در بخش اول شامل کلیه مقاله های مرتبط با موضوع "اقناع "، "افکار عمومی"، "رسانه‌های اجتماعی" در بازه زمانی 2010 تا 2023 بود. نمونه آماری شامل کلیه اسناد و منابع مرتبط با موضوع به تعداد 75 سند می باشد که22 موردپس از چندین مرحله غربالگری بر اساس عنوان، چکیده و محتوا،انتخاب و وباروش کدگذاری مخصوص مطالعات کیفی تحلیل گردید.نتیجه نشان داد مولفه های الگوی اقناع افکار عمومی در بستر رسانه های اجتماعی شامل پنج مولفه اصلی(مقوله هسته ای) است که عبارتند از: راهبرد های متقاعدسازی، اعتماد و صداقت، مخاطب محوری، کمیابی و ویژگی پیام . با توجه به نتیجه تحقیق پیشنهاد می‌شودازسوی فعالان ،کنشگران ومدیران عرصه رسانه برای اقناع افکاری عمومی در رسانه های اجتماعی ،اعتمادسازی درمیان مخاطبان صورت گیرد. سپس، برای تولید پیام های اقناعی عناصری چون صداقت،اعتبار ،جذابیت وجلب اعتماد مخاطب را درنظر گرفته و راهبردها وتکنیک های اقناعی مناسب را انتخاب نمایند. همچنین به مخاطب، نیاز ها و اهداف او از حضور در رسانه‌های اجتماعی توجه نموده، پیام های غیرتکراری و جذاب تولید و منتشر نمایند.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Identification of Persuasion Components in Social Media: A Research synthesis

نویسندگان [English]

  • morteza fazelimoghadam 1
  • Afsaneh Mozaffari 2
  • Hadi Khaniki 3

1 PhD Student in Social Communication, Science & Research Branch, Islamic Azad University, Tehran, Iran.

2 Associate Professor, Department of Social Communication Sciences, Science & Research Branch, Islamic Azad University, Tehran, Iran

3 Professor, Department of Social Communication, Allameh Tabataba'i University, Tehran, Iran.

چکیده [English]

Abstract:
Today, the role and significance of media in informing and shaping public opinions are undeniable. Among various media types, social media, with the advancements in technology, equipment, volume, and methods, can have the most significant impact as conveyors and transmitters of messages in persuading public opinions. The present study aims to identify the components of the persuasion pattern in social media and adopts a qualitative research approach using the synthesis method. The statistical population in the first section includes all relevant articles on the subjects of "persuasion," "public opinions," and "social media" in domestic databases such as Magiran, Noormags, Civilica, Institute for Humanities and Cultural Studies, Iran Index, and international databases including Scopus, ScienceDirect, ProQuest, Springer, and Google Scholar from 2010 to 2023. The sample size for this section includes all documents and resources related to the subject, totaling 75 documents. Among these documents, 22 were ultimately selected for analysis after several screening stages based on title, abstract, and content. Data were collected using a study sheet, and a specialized qualitative coding method was employed for data analysis. The results indicate that the components of the persuasion pattern in social media consist of five main components (core concepts), namely: persuasion strategies, trust and honesty, audience-centricity, scarcity, and message characteristics. Based on the research findings, it is recommended that stakeholders, actors, and managers in the media field focus on building trust among audiences to persuade public opinions on social media. Furthermore, for the production of persuasive messages, elements such as honesty, credibility, attractiveness, and gaining audience trust should be considered, and appropriate persuasion strategies and techniques should be selected.
Additionally, attention should be paid to the audience's needs and objectives in using social media, and non-repetitive and engaging messages should be produced and disseminated.
Data were collected using a study sheet, and a specialized qualitative coding method was employed for data analysis. The results indicate that the components of the persuasion pattern in social media consist of five main components (core concepts), namely: persuasion strategies, trust and honesty, audience-centricity, scarcity, and message characteristics. Based on the research findings, it is recommended that stakeholders, actors, and managers in the media field focus on building trust among audiences to persuade public opinions on social media. Furthermore, for the production of persuasive messages, elements such as honesty, credibility, attractiveness, and gaining audience trust should be considered, and appropriate persuasion strategies and techniques should be selected.
Additionally, attention should be paid to the audience's needs and objectives in using social media, and non-repetitive and engaging messages should be produced and disseminated.
Data were collected using a study sheet, and a specialized qualitative coding method was employed for data analysis. The results indicate that the components of the persuasion pattern in social media consist of five main components (core concepts), namely: persuasion strategies, trust and honesty, audience-centricity, scarcity, and message characteristics. Based on the research findings, it is recommended that stakeholders, actors, and managers in the media field focus on building trust among audiences to persuade public opinions on social media. Furthermore, for the production of persuasive messages, elements such as honesty, credibility, attractiveness, and gaining audience trust should be considered, and appropriate persuasion strategies and techniques should be selected.
Additionally, attention should be paid to the audience's needs and objectives in using social media, and non-repetitive and engaging messages should be produced and disseminated.
Data were collected using a study sheet, and a specialized qualitative coding method was employed for data analysis. The results indicate that the components of the persuasion pattern in social media consist of five main components (core concepts), namely: persuasion strategies, trust and honesty, audience-centricity, scarcity, and message characteristics. Based on the research findings, it is recommended that stakeholders, actors, and managers in the media field focus on building trust among audiences to persuade public opinions on social media. Furthermore, for the production of persuasive messages, elements such as honesty, credibility, attractiveness, and gaining audience trust should be considered, and appropriate persuasion strategies and techniques should be selected.
Additionally, attention should be paid to the audience's needs and objectives in using social media, and non-repetitive and engaging messages should be produced and disseminated.
Keywords: Persuasion Components, Public Opinions, Social Media, Research synthesis

کلیدواژه‌ها [English]

  • Keywords:: Persuasion Components
  • Public Opinions
  • Social Media
  • Research synthesis
منابع
حبیبی، سیامک؛ شافعی، رضا و سلطان پناه، هیرش. (1400). طراحی الگوی متقاعدسازی مشتریان شرکت‍های گردشگری حوزه داخلی. جغرافیایی فضای گردشگری، 38 (10)، 85-102.
کریمی، کیانوش و جلال غفاری قدیر. (1398). مدل تأثیرگذاری بر افکار عمومی در فضای مجازی به کمک قابلیت های بازی‍وارسازی. مطالعات رسانه های نوین، 5، 17 (1398): 137 ـ 172.
 
References
Abbasi Kasani, H., Shams Mourkani, G., Seraji, F., Rezaeizadeh, M. & Abedi, H. (2020). E-Learning Challenges in Iran: A Research Synthesis. International Review of Research in Open and Distributed Learning, 21(4), 96–116. https:/‌/‌doi.org/‌10.19173/‌irrodl.v21i4.4677
Barron, K., & Fries, T. (2023). Narrative persuasion (No. SP II 2023-301). WZB Discussion Paper.
Calegari, R., & Sartor, G. (2020). A model for the burden of persuasion in argumentation. In Legal Knowledge and Information Systems (pp. 13-22). IOS Press.
Castiglioni, M., Celli, A., & Gatti, N. (2023). Public bayesian persuasion: being almost optimal and almost persuasive. Algorithmica, 1-37. 10.1007/‌s00453-023-01123-1
Chen, Y., Deng, S., Kwak, D. H., Elnoshokaty, A., & Wu, J. (2019). A multi-appeal model of persuasion for online petition success: A linguistic cue-based approach. Chen, Y., Deng, S., Kwak, DH, Elnoshokaty, A., & Wu, J.
Coppock, A. (2023). Persuasion in Parallel: How Information Changes Minds about Politics. University of Chicago Press.
Dehnert, M., & Mongeau, P. A. (2022). Persuasion in the age of artificial intelligence (AI): Theories and complications of AI-Based persuasion. Human Communication Research48(3), 386-403. https:/‌/‌doi.org/‌10.1093/‌hcr/‌hqac006
Dutta, S., Das, D., & Chakraborty, T. (2020). Changing views: Persuasion modeling and argument extraction from online discussions. Information Processing & Management57(2), 102085. https:/‌/‌doi.org/‌10.1016/‌j.ipm.2019.102085
Eisend, M., & Tarrahi, F. (2022). Persuasion knowledge in the marketplace: A meta‐analysis. Journal of Consumer Psychology32(1), 3-22. 10.1002/‌jcpy.1258
Ferretti, F., Adornetti, I., & Chiera, A. (2022). Narrative pantomime: a protolanguage for persuasive communication. Lingua271, 103247. https:/‌/‌doi.org/‌10.1016/‌j.lingua.2022.103247
Jakobsen, A. M. (2021). An axiomatic model of persuasion. Econometrica89(5), 2081-2116.
Jayawardena, N. S. (2021). The e-learning persuasion through gamification: an elaboration likelihood model perspective. Young Consumers22(3), 480-502. 10.1108/‌YC-08-2020-1201
King, A. J., Lazard, A. J., & White, S. R. (2020). The influence of visual complexity on initial user impressions: Testing the persuasive model of web design. Behaviour & Information Technology39(5), 497-510. 10.1080/‌0144929X.2019.1602167
Merz, M., & Ackermann, L. (2021). Design Principles of Persuasive Systems-Review and Discussion of the Persuasive Systems Design Model. In AMCIS.
Pan, P., & Zhang, H. (2023). Research on Social Media Advertising Persuasion Based on the Elaboration Likelihood Model. In SHS Web of Conferences (Vol. 154, p. 03024). EDP Sciences.
Sandelowski, M., & Barroso, J. (2006). Handbook for synthesizing qualitative research. New York: Springer Publishing.
Strauss, A., & Corbin, J. (1998). Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. Thousand Oaks, CA: Sage Publications, Inc.
Sun, Y., Feng, Y., Shen, X. L., & Guo, X. (2023). Fear appeal, coping appeal and mobile health technology persuasion: a two-stage scenario-based survey of the elderly. Information Technology & People36(1), 362-386. 10.1108/‌ITP-07-2021-0519
Susmann, M. W., Xu, M., Clark, J. K., Wallace, L. E., Blankenship, K. L., Philipp-Muller, A. Z., ... & Petty, R. E. (2022). Persuasion amidst a pandemic: Insights from the Elaboration Likelihood Model. European Review of Social Psychology33(2), 323-359. https:/‌/‌doi.org/‌10.1080/‌10463283.2021.1964744
Tiwari, A., Khandwe, A., Saha, S., Ramnani, R., Maitra, A., & Sengupta, S. (2023). Towards personalized persuasive dialogue generation for adversarial task oriented dialogue setting. Expert Systems with Applications213, 118775.
Vaughan-Johnston, T. I., Guyer, J. J., Fabrigar, L. R., & Shen, C. (2021). The Role of Vocal Affect in Persuasion: The CIVA Model. Journal of Nonverbal Behavior45(4), 455-477. 10.1007/‌s10919-021-00373-3
Wambsganss, T., & Niklaus, C. (2022, May). Modeling persuasive discourse to adaptively support students’ argumentative writing. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (pp. 8748-8760).
Wang, X., Shi, W., Kim, R., Oh, Y., Yang, S., Zhang, J., & Yu, Z. (2019). Persuasion for good: Towards a personalized persuasive dialogue system for social good. arXiv preprint arXiv:1906.06725. 10.18653/‌v1/‌P19-1566
Woelke, J. (2023). Ich weiß, sie bekommt Geld dafür! Aber ich hab Guido Maria doch so gern! The Persuasion Knowledge Model von Friestad und Wright. In Schlüsselwerke der Werbeforschung (pp. 211-223). Wiesbaden: Springer Fachmedien Wiesbaden.
Wojdynski, B. W., & Evans, N. J. (2020). The covert advertising recognition and effects (CARE) model: Processes of persuasion in native advertising and other masked formats. International Journal of Advertising39(1), 4-31. https:/‌/‌doi.org/‌10.1080/‌02650487.2019.1658438
Wu, W., & Ye, B. (2023). Competition in persuasion: An experiment. Games and Economic Behavior138, 72-89. https:/‌/‌doi.org/‌10.1016/‌j.geb.2022.12.003
Yang, D., Chen, J., Yang, Z., Jurafsky, D., & Hovy, E. (2019). Let’s make your request more persuasive: Modeling persuasive strategies via semi-supervised neural nets on crowdfunding platforms. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) (pp. 3620-3630).
Yuan, Y., Xu, F., Cao, H., Zhang, G., Hui, P., Li, Y., & Jin, D. (2021). Persuade to click: Context-aware persuasion model for online textual advertisement. IEEE Transactions on Knowledge and Data Engineering.
Zhang, C., Deguchi, D., Okafuji, Y., & Murase, H. (2023). More Persuasive Explanation Method For End-to-End Driving Models. IEEE Access.