Role of Political Buzz in Cyberspace (The 2017 Presidential Election _IRAN)

Bahareh Ahmadinejad, Salar Ahmadinejad, Hadi Najafi Asli


Today, cyberspace is a place to exchange ideas and guiding them towards the required destination. In fact, there is a form of viral marketing policy in all areas of the market. As viral marketing requires people to send news, information, videos, and to the specific product or service, In politics also divided into groups and exchange ideas as well as users. As users, share content or news about the government, the candidates or refuse to them and through buzz can affect public opinion and lead it towards the targetIn this study, we examined that what is the effect of this type of the viral and targeted news release and user view in the political changes. This is an empirical study to evaluate the importance of buzz in cyberspace in political changes. for this purpose an online questionnaire was distributed randomly among 80 Iranian users before the 2017 presidential election in Iran. Data were analyzed with SPSS the software. The results of the majority of respondents showed that release viral and buzz created news before the 2017 presidential election in Iran, did not make certain changes and claimed that exist a significant relationship between officials' attention to what is happening in cyberspace to improve government performance.

Full Text:



Ahmadinejad, B., Asli, H. N., & Ahmadinejad, S. (2017). The Effect of Perceived Risk in Discount Condition on the e-Purchase Intention. MAYFEB Journal of Business and Management, 2.

ÇETİNKAYA, A., ŞAHİN, Ö. E., & KIRIK, A. M. (2014). A Research on Social and Political Use of Social Media in Turkey. International Journal of Science Culture and Sport (IntJSCS), 2(4), 49-60.

Savigny, H. (2007). Ontology and Epistemology in Political Marketing: Keeping It Real?. Journal of political marketing, 6(2-3), 33-47.

McDonnell, J., & Taylor, P. J. (2014). Value Creation in Political Exchanges: A Qualitative Study. Journal of Political Marketing, 13(3), 213-232.

Afjeh, Ali Akbar, khadem Gerashi,Mehdi, 2010, strategic management model of political marketing, Business Management Quarterly Outlook, Issue 40: 50-25

Dean, D., & Croft, R. (2009). Reason and choice: A conceptual study of consumer decision making and electoral behavior. Journal of Political Marketing, 8(2), 130-146.

Tumasjan, A., Sprenger, T. O., Sandner, P. G., & Welpe, I. M. (2011). Election forecasts with Twitter: How 140 characters reflect the political landscape. Social science computer review, 29(4), 402-418.

Fonseca, A. (2011, August). Modeling political opinion dynamics through social media and multi-agent simulation. In First doctoral workshop for complexity sciences.

Safiullah, M., Pathak, P., Singh, S., & Anshul, A. (2016). Social media in managing political advertising: a study of India. Polish Journal of Management Studies, 13(2).

Sang, E. T. K., & Bos, J. (2012, April). Predicting the 2011 dutch senate election results with twitter. In Proceedings of the workshop on semantic analysis in social media (pp. 53-60). Association for Computational Linguistics.

Metaxas, P. T., Mustafaraj, E., & Gayo-Avello, D. (2011, October). How (not) to predict elections. In Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on (pp. 165-171). IEEE.

DiGrazia, J., McKelvey, K., Bollen, J. and Rojas, F., 2013. More tweets, more votes: Social media as a quantitative indicator of political behavior. PloS one, 8(11), p.e79449.


  • There are currently no refbacks.

MAYFEB Journal of Business and Management
Toronto, Ontario, Canada
ISSN 2371-7742