رسانه اجتماعی به‌عنوان ابزار آینده تأثیرگذاری بازاریابی سیاسی
  •   آرشیو : بهار 1403
  •   کد پذیرش : 20028
  •   موضوع : موضوعی تعریف نشده!
  • نویسنده/گان : | وحید ملکشاهی نژاد
  •   زبان : فارسی
  •   نوع مقاله : پژوهشی
  •   چکیده مقاله به فارسی : در عصر حاضر از انقلاب الکترونیک هنگامی‌که رسانه اجتماعی تبدیل به یک ابزار شد و به همه ارتباطات پایان داد، دموکراسی‌ها شگفت‌زده می‌شوند اگر رسانه اجتماعی بتواند یک مشخص‌کننده در دسترس برای پیش‌بینی نتیجه انتخابات باشد. با افزایش محبوبیت و رشد استفاده از رسانه اجتماعی؛ این مقاله هدف دارد که بررسی کند که کدام استفاده از رسانه اجتماعی (تویتر) بر نتیجه انتخابات عمومی سال 2014 اثر داشته است. برای این تحقیق 8877275 شایعه رسانه اجتماعی برای 100 روز از 1 ژانویه 2014 تا 9 آوریل 2014 ، از 12 حزب سیاسی هندی موردتوجه قرارگرفته است. نتایج نشان می‌دهد که شایعات رسانه اجتماعی اثر مثبت و معناداری بر نتایج انتخابات عمومی 2014 داشته است.
  •   لیست منابع : [1] Barber_a, P., & Rivero, G. (2014). Understanding the political representativeness of Twitter users. Social Science Computer Review. http://dx.doi.org/10.1177/ 0894439314558836.
    [2] Bermingham, A., & Smeaton, A. F. (2011). On using Twitter to monitor political sentiment and predict election results.
    [3] Burnap, P., Gibson, R., Sloan, L., Southern, R., &Williams, M. (2016). 140 characters to victory?: Using Twitter to predict the UK 2015 General Election. Electoral
    [4] Studies, 41, 230e233.
    [5] Cameron, M. P., Barrett, P., & Stewardson, B. (2015). Can social media predict election results? Evidence from New Zealand. Journal of Political Marketing, 1e17.
    [6] Ceron, A., Curini, L., Iacus, S. M., & Porro, G. (2014). Every tweet counts? How sentiment analysis of social media can improve our knowledge of citizens' political preferences with an application to Italy and France. New Media & Society,16(2), 340e358.
    [7] Chao, R. (2014, May 21). How much influence did social media have on India's election?. Retrieved October 15, 2015, from http://techpresident.com/news/wegov/ 25062/India-election-social-media-influence.
    [8] Curtis, L., Edwards, C., Fraser, K. L., Gudelsky, S., Holmquist, J., Thornton, K., & Sweetser, K. D. (2010). Adoption of social media for public relations by nonprofit organizations. Public Relations Review, 36(1), 90e92.
    [9] DiGrazia, J., McKelvey, K., Bollen, J., & Rojas, F. (2013). More tweets, more votes: Social media as a quantitative indicator of political behavior. PloS One, 8(11), e79449.
    [10] Diwakar, R. (2015). The 16th general election in India, AprileMay 2014. Electoral Studies, 37, 120e125.
    [11] Effing, R., van Hillegersberg, J., & Huibers, T. (2011, August). Social media and political participation: Are Facebook, Twitter and YouTube democratizing our political systems?. In International conference on electronic participation (pp. 25e35). Berlin Heidelberg: Springer.
    [12] Election Commission of India. (n.d) Various reports. Retrieved October 15, 2015 from: http://eci.nic.in/eci_main1/ElectionStatistics.aspx.
    [13] Eyrich, N., Padman, M. L., & Sweetser, K. D. (2008). PR practitioners' use of social media tools and communication technology. Public relations review, 34(4), 412e414.
    [14] Fonseca, A. (2011). Modeling political opinion dynamics through social media and multi-agent simulation. In First doctoral workshop for complexity sciences.
    [15] Gayo-Avello, D. (2011). Don't turn social media into another'Literary Digest'poll. Communications of the ACM, 54(10), 121e128.
    [16] Gayo-Avello, D. (2012). No, you cannot predict elections with twitter. Internet Computing, IEEE, 16(6), 91e94.
    [17] Gayo-Avello, D. (2013). A meta-analysis of state-of-the-art electoral prediction from Twitter data. Social Science Computer Review, 31(6), 649e679. http://dx.doi.org/ 10.1177/0894439313493979.
    [18] Gayo-Avello, D., Metaxas, P. T., & Mustafaraj, E. (2011). Limits of electoral predictions using twitter. In Proceedings of the Fifth International AAAI Conference onWeblogs and Social Media. Association for the Advancement of Artificial Intelligence.
    [19] Himelboim, I., McCreery, S., & Smith, M. (2013). Birds of a feather tweet together: Integrating network and content analyses to examine cross-ideology exposure on Twitter. Journal of Computer-Mediated Communication, 18(2), 40e60.
    [20] Huberty, M. E. (2013, October). Multi-cycle forecasting of congressional elections with social media. In Proceedings of the 2nd workshop on Politics, elections and data (pp. 23e30). ACM.
    [21] Jungherr, A. (2013, October). Tweets and votes, a special relationship: The 2009 federal election in germany. In Proceedings of the 2nd workshop on Politics, elections and data (pp. 5e14). ACM.
    [22] Jungherr, A., Jürgens, P., & Schoen, H. (2012). Why the pirate party won the german election of or the trouble with predictions: A response to tumasjan, a., sprenger, to, sander, pg, & welpe, im “predicting elections with twitter: What 140 characters reveal about political sentiment”. Social science computer review, 30(2), 229e234.
    [23] Kalampokis, E., Tambouris, E., & Tarabanis, K. (2013). Understanding the predictive power of social media. Internet Research, 23(5), 544e559.
    [24] KEMP, S. (2015). Digital, Social & Mobile in India in 2015. We Are Social UK. Retrieved 15 October 2015, from: http://wearesocial.com/uk/special-reports/digitalsocial- mobile-india-2015.
    [25] Kim, D. (2011). Tweeting politics: Examining the motivations for Twitter use and the impact on political participation. In 61st Annual Conference of the International Communication Association.
    [26] Larsson, A. O., & Moe, H. (2012). Studying political microblogging: Twitter users in the 2010 Swedish election campaign. New Media & Society, 14(5), 729e747.
    [27] Lewis-Beck, M. S. (2005). Election forecasting: Principles and practice. The British Journal of Politics & International Relations, 7(2), 145e164.
    [28] Luo, X., & Zhang, J. (2013). How do consumer buzz and traffic in social media marketing predict the value of the firm? Journal of Management Information Systems, 30(2), 213e238.
    [29] Mangold, W. G., & Faulds, D. J. (2009). Social media: The new hybrid element of the promotion mix. Business Horizons, 52(4), 357e365.
    [30] McKelvey, K., DiGrazia, J., & Rojas, F. (2014). Twitter publics: How online political communities signaled electoral outcomes in the 2010 US house election. Information Communication & Society, 17(4), 436e450.
    [31] Mejova, Y., Srinivasan, P., & Boynton, B. (2013, February). GOP primary season on twitter: Popular political sentiment in social media. In Proceedings of the sixth ACM international conference on Web search and data mining (pp. 517e526). ACM.
    [32] 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 international conference on social computing (SocialCom), 2011 IEEE third international conference on (pp. 165e171). IEEE.
    [33] Moran, M., Seaman, J., & Tinti-Kane, H. (2011). Teaching, learning, and Sharing: How Today's higher education faculty use social media. Babson Survey Research Group.
    [34] Narasimhamurthy, N. (2014). Use and rise of social media as election campaign medium in India. International Journal of Interdisciplinary and Multidisciplinary Studies (IJIMS), 1(8).
    [35] Newman, B. I. (1999). Handbook of political marketing. Thousand Oaks, CA: Sage.
    [36] Nowak, A., Szamrej, J., & Latan_e, B. (1990). From private attitude to public opinion: A dynamic theory of social impact. Psychological Review, 97(3), 362.
    [37] O'Connor, B., Bamman, D., & Smith, N. A. (2011). Computational text analysis for social science: Model assumptions and complexity (pp. 1e4).
    [38] Palmer, A., & Koenig-Lewis, N. (2009). An experiential, social network-based approach to direct marketing. Direct Marketing: An International Journal, 3(3), 162e176.
    [39] Robinson, L., Schulz, J., Cotten, S. R., Hale, T., & Williams, A. (2016). Communication and Information Technologies Annual:[New] Media Cultures (Vol. 11). Bingley, UK: Emerald Group Publishing.
    [40] Safiullah, M., Pathak, P., & Singh, S. (2016). Emergence of social media and its implications for public policy: A study of Delhi assembly election 2013. Journal Management Insight, 12(1).
    [41] 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), 121e130.
    [42] 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. 53e60). Association for Computational Linguistics. Simplify 360. (2014, February 21). Social Media Buzz Analysis of Indian Election 2014. SocialSamosa.com. Retrieved from: https://www.socialsamosa.com/2014/02/social-media-buzz-analysis-report-indian-election-2014/.
    [43] Stefko, R., Bacik, R., & Fedorko, I. (2014). Facebook content analysis of banks operating on Slovak market. Polish Journal of Management Studies, 10(1).
    [44] Stefko, R., Dorcak, P., & Pollak, F. (2011). Virtual social networks and their utilization for promotion. Polish Journal of Management Studies, 4, 126e134
  •   کلمات کلیدی به فارسی : رسانه اجتماعی، بازاریابی سیاسی.
  •   چکیده مقاله به انگلیسی : In this age of the electronic revolution when social media has become the tool to end all communication, democracies will wonder if social media can be an accessible predictor of election outcomes. With the increasing popularity and growth of social media use; This paper aims to examine which use of social media (Twitter) influenced the outcome of the 2014 general election. For this research, 8,877,275 social media rumors for 100 days from January 1, 2014 to April 9, 2014, from 12 Indian political parties are considered. The results show that social media rumors had a positive and significant effect on the results of the 2014 general elections
  •   کلمات کلیدی به انگلیسی : Social media, political marketing
  •  صفحات : 71-81
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