International Journal of Advanced Culture Technology

The International Promotion Agency of Culture Technology (국제문화기술진흥원)
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When Brand Activism Advertising Campaign Goes Viral: An Analysis of Always #LikeAGirl Video Networks on YouTube

  • Lee, Mina (Department of Advertising and Public Relations, Kookmin University) ;
  • Yoon, Hye Jin (Department of Advertising and Public Relations)
  • Received : 2020.04.30
  • Accepted : 2020.05.31
  • Published : 2020.06.30
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Abstract

As one of the successful brand activism ad campaigns in recent years, the current study focuses on the Always #LikeAGirl campaign that took on the issue of girls and female empowerment. As a viral video marketing campaign with YouTube as their main vehicle for campaign dissemination, this study examined how Always brand activism campaigns spread on YouTube by conducting a network analysis of YouTube video networks generated by the #LikeAGirl campaign spanning across five campaign periods. Quantifiable data (i.e., views, comments, likes, dislikes, user-generated videos) and structural network patterns show that the Always #LikeAGirl campaign was successful by both standards. Although the follow-up campaign periods were not as successful as the initial campaign, the substantial amount of views, comments, likes, and user-generated content showed that the consecutive campaigns still had impact. As shown through the network patterns, the main campaign ads were central in the diffusion of the campaign during the earlier periods but that role was passed onto the user-generated contents in the later periods. Implications of the findings and future social network analysis studies in brand advertising and brand activism campaigns are further discussed.

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References

  1. Liao, M.Q. and Mal, A.K., "Comments Are Disabled for This Video: A Technological Affordances Approach to Understanding Source Credibility Assessment of CSR Information on YouTube," Public Relations Review, Vol. 45, Issue. 5, pp. e101840, 2019. https://doi.org/10.1016/j.pubrev.2019.101840
  2. Center for Marketing Research, The 2018 Fortune 500 Target Millennials and Seek Uncensored Expression, 2018. https://www.umassd.edu/cmr/research/social-media-research/2018-fortune-500.html
  3. Illia, L., Romenti, S., Rodriguez-Canovas, B., Murtarelli, G. and Carroll, C. E., "Exploring Corporations' Dialogue about CSR in the Digital Era," Journal of Business Ethics, Vol. 146, No. 1, pp. 39-58, 2017. https://doi.org/10.1007/s10551-015-2924-6
  4. Sustainly, 6th Annual Social Media Sustainability Index, 2015. https://sustainly.com/content/form/6th-annual-social-media-sustainability-index-0
  5. Edelman, More than Half of Consumers Now Buy on Their Beliefs, 2017. https://www.edelman.com/news-awards/consumers-now-buy-on-beliefs-2017-earned-brand
  6. Kotler, P. and Sarkar, C., Finally, Brand Activism!, 2017. http://www.marketingjournal.org/finally-brand-activism-philip-kotler-and-christian-sarkar/
  7. Lai, A., Millennials Call for Values-Driven Companies, But They're Not the Only Ones Interested, 2018. https://www.forbes.com/sites/forrester/2018/05/23/millennials-call-for-values-driven-companies-but-theyre-not-the-only-ones-interested/#7f9e2f205464
  8. Campaign, Case Study: Always #LikeAGirl, 2015. https://www.campaignlive.co.uk/article/case-study-always-likeagirl/1366870
  9. Chang, Y., Yu, H. and Lu, H., "Persuasive Messages, Popularity Cohesion, and Message Diffusion in Social Media Marketing," Journal of Business Research, Vol. 68, No. 4, pp. 777-782, 2015. https://doi.org/10.1016/j.jbusres.2014.11.027
  10. Moura-Leite, R. and Padgett, R.C., "Historical Background of Corporate Social Responsibility," Social Responsibility Journal, Vol. 7 No. 4, pp. 528-539, 2011. https://doi.org/10.1108/1747111111117511
  11. Gotter, A., The 15 Best Hashtag Campaigns of All Time, 2017. https://adespresso.com/blog/15-best-hashtag-campaigns-time/
  12. Buck, S., As Millennials Demand More Meaning, Older Brands Are Not Aging Well, 2017. https://www.fastcompany.com/40477211/as-millennials-demand-more-meaning-older-brands-are-not-aging-well
  13. Scott, J., Social Network Analysis, SAGE Publications Ltd, Thousand Oaks, CA, 2017.
  14. Borgatti, S. P., Mehra, A. Brass, D. J. and Labianca, G., "Network Analysis in the Social Sciences," Science, Vol. 323, No. 5916, pp. 892-895, 2009. https://doi.org/10.1126/science.1165821
  15. Levy, J.A. and Pescosolido, B.A., Social Networks and Health, Elsevier, London, 2002.
  16. Sageman, M., Understanding Terror Networks, University of Pennsylvania Press, Philadelphia, PA, 2004.
  17. Prell, C., Hubacek, K. and Reed, M., “Stakeholder Analysis and Social Network Analysis in Natural Resource Management,” Society & Natural Resources, Vol. 22, No. 6, pp. 501-518, 2003. https://doi.org/10.1080/08941920802199202
  18. Havakhor, T., Soror, A.A. and Sabherwal, R., “Diffusion of Knowledge in Social Media Networks: Effects of Reputation Mechanisms and Distribution of Knowledge Roles,” Information Systems, Vol. 28, No. 1, pp. 104-141, 2018. https://doi.org/10.1111/isj.12127
  19. Xu, W.W., Park, J.Y. and Park, H.W., “The Networked Cultural Diffusion of Korean Wave,” Online Information Review, Vol. 39, No. 1, pp. 43-60, 2015. https://doi.org/10.1108/OIR-07-2014-0160
  20. Chung, J.E., “A Smoking Cessation Campaign on Twitter: Understanding the Use of Twitter and Identifying Major Players in A Health Campaign,” Journal of Health Communication, Vol. 21, No. 5, pp. 517-526, 2016. https://doi.org/10.1080/10810730.2015.1103332
  21. Chung, J.E., "Retweeting in Health Promotion: Analysis of Tweets about Breast Cancer Awareness Month," Computers in Human Behavior, Vol. 74, pp.112-119, 2017. https://doi.org/10.1016/j.chb.2017.04.025
  22. Kim, E., Hou, J. Han, J.Y. and Himelboim, I., “Predicting Retweeting Behavior on Breast Cancer Social Networks: Network and Content Characteristics,” Journal of Health Communication, Vol. 21, No. 4, pp. 1-8, 2016. https://doi.org/10.1080/10810730.2015.1103326
  23. Meza, X.V. and Park, H.W., “Organic Products in Mexico and South Korea on Twitter,” Journal of Business Ethics, Vol. 135, No. 3, pp. 587-603, 2016. https://doi.org/10.1007/s10551-014-2345-y
  24. Groeger, L. and Buttle, F., "Word-of-mouth Marketing: Towards an Improved Understanding of Multi-Generational Campaign Reach," European Journal of Marketing, Vol. 48, No. 7/8, pp.1186-1208, 2014. https://doi.org/10.1108/EJM-02-2012-0086
  25. Ahn, J.B., “A Study on Advertising Future Development Roadmap in the Fourth Industrial Revolution Era,” International Journal of Internet, Broadcasting and Communication, Vol. 12, No. 2, pp. 66-76, 2020. http://dx.doi.org/10.7236/IJIBC.2020.12.2.66
  26. Byun, K-W. and Kim, S., “A Study on the Effects of Advertising Attributes in YouTube e-sport Video,” International Journal of Internet, Broadcasting and Communication, Vol. 12, No. 2, pp. 137-143, 2020. http://dx.doi.org/10.7236/IJIBC.2020.12.2.137
  27. Holbrook, M., Consumer Value: A Framework for Analysis and Research, Routledge, London, 2019.
  28. Klausen, J., Barbieri, E.T. Reichlin-Melnick, A. and Zelin, A.Y., "The YouTube Jihadists: A Social Network Analysis of Al-Muhajiroun's Propaganda Campaign," Perspectives on Terrorism, Vol. 6, No. 1, pp. 36-53, 2012. www.jstor.org/stable/26298554
  29. O'Callaghan, D., Harrigan, M. Carthy, J. and Cunningham, P., "Network Analysis of Recurring YouTube Spam Campaigns," in Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media, pp. 531-534, 2012.
  30. Xu, W.W., Park, J.Y. and Park, H.W., "Longitudinal Dynamics of The Cultural Diffusion of Kpop on YouTube," Quality & Quantity, Vol. 51, pp. 1859-875, 2017. https://doi.org/10.1007/s11135-016-0371-9
  31. Rogers, E.M., Diffusion of Innovations, Free Press, New York, NY, 2003.
  32. Ryan, B. and Cross, N.C., “The Diffusion of Hybrid Seed Corn in Two Iowa Communities,” Rural Sociology, Vol. 8, No. 1, pp. 15-24, 1943.
  33. Dearing, J.W. and Cox, J.G., "Diffusion of Innovations Theory, Principles, and Practice," Health Affairs, Vol. 37, No. 2, pp.183-190, 2018. https://doi.org/10.1377/hlthaff.2017.1104
  34. Guille, A., Hacid, H. Favre, C. and Zighed, D.A., “Information Diffusion in Online Social Networks: A Survey,” ACM Sigmod Record, Vol. 42, No. 2, pp. 17-28, 2013. https://doi.org/10.1145/2503792.2503797
  35. Robins, R.W., Trzesniewskim, K.H., Tracy, J.L., Gosling, S.D. and Potter, J., “Global Self-Esteem across the Life Span,” Psychology and Aging, Vol. 17, No. 3, pp. 423-434, 2002. https://psycnet.apa.org/doi/10.1037/0882-7974.17.3.423
  36. Newman, M., Barabasi, A. and Watts, D.J., The Structure and Dynamics of Networks, Princeton University Press, Princeton, NJ, 2006.
  37. Huang, S., Lv, T. Zhang, X. Yang, Y. Zheng, W. and Wen, C., "Identifying Node Role in Social Network Based on Multiple Indicators," PloS one, Vol. 9, No. 8, pp. e0103733, 2014. https://dx.doi.org/10.1371%2Fjournal.pone.0103733
  38. Hansen, D., Shneiderman, B. and Smith, M., Analyzing Social Media Networks with Nodexl: Insights from a Connected World, Morgan Kaufmann, Burlington, MA, 2011.
  39. Lazarsfeld, P.F., Berelson, B. and Gaudet, H., The People's Choice, Duell, Sloan and Pearce, New York, NY, 1944.
  40. Case, D.O., Johnson, J.D. Andrews, J.E. Allard, S.L. and Kelly, K.M., "From Two-Step Flow to The Internet: The Changing Array of Sources for Genetics Information Seeking," Journal of the American Society for Information Science and Technology, Vol. 55, No. 8, pp. 660-669, 2004. https://doi.org/10.1002/asi.20000
  41. Huang, C-C., Lien, L-C. Chen, P-A. Tseng, T-L. and Lin, S-H., "Identification of Opinion Leaders and Followers in Social Media," in Proceedings of the 6th International Conference on Data Science, Technology and Applications, DATA, pp.180-185, 2017.
  42. Walter, S. and Brüggemann, M., "Opportunity Makes Opinion Leaders: Analyzing the Role of First-Hand Information in Opinion Leadership in Social Media Networks," Information, Communication & Society, Vol 23, No. 2, pp. 267-287, 2018. https://doi.org/10.1080/1369118X.2018.1500622
  43. Yang, J. and Leskovec, J., "Modeling Information Diffusion in Implicit Networks," in Proceedings of the 2010 IEEE International Conference on Data Mining, IEEE, pp. 599-608, 2010.
  44. National Women's Law Center, Girls, Sports, and Equality: A State-By-State Ranking on Title IX, 2019. https://nwlc.org/resources/girls-sports-and-equality-state-state-ranking-title-ix//
  45. Women's Sports Foundation, Her Life Depends on It III & Concussions, 2017. https://www.womenssportsfoundation.org/articles_and_report/life-depends-iii-concussions/
  46. Xu, W.W., Park, J.Y. Kim, J.Y. and Park, H.W., "Networked Cultural Diffusion and Creation on YouTube: An Analysis of YouTube Memes," Journal of Broadcasting & Electronic Media, Vol. 60, No. 1, pp. 104-22, 2016. https://doi.org/10.1080/08838151.2015.1127241
  47. Integrated Business Solutions, The 7 Undeniable Benefits of Social Media Monitoring for Brands, 2018. https://www.ibsproduces.com/blog/category/branding/313103/the-7-undeniable-benefits-of-social-media-monitoring-for-brands