ABSTRACT
The influence of new social media on health behaviors has been well established. In this paper, we focus on social network activities related to tobacco control advertisement campaigns. We aim to find out how advertising is related to the social media conversation, and to what extent the social conversation stimulates further engagement with the campaign. Three methods of measurement are used to solve this problem. Among them a novel inference model: SII model is proposed, which can predict whether user will attend the conversation. The results of all methods shows TV exposures information launches the social conversation and the diffusion process inside the social network further stimulates the engagement with the campaign.
- T. E. Barry and D. J. Howard. A review and critique of the hierarchy of effects in advertising. International Journal of Advertising, 9(2):121--135, 1990.Google ScholarCross Ref
- K. E. Clow. Integrated advertising, promotion, and marketing communications. Pearson Education India, 2007. Google ScholarDigital Library
- M. Daubresse, S. Hutfless, Y. Kim, R. Kornfield, D. M. Qato, J. Huang, K. Miller, S. L. Emery, and G. C. Alexander. Effect of direct-to-consumer advertising on asthma medication sales and healthcare utilization. American journal of respiratory and critical care medicine, (ja), 2015.Google Scholar
- S. Emery, Y. Kim, Y. K. Choi, G. Szczypka, M. Wakefield, and F. J. Chaloupka. The effects of smoking-related television advertising on smoking and intentions to quit among adults in the united states: 1999--2007. American journal of public health, 102(4):751--757, 2012.Google Scholar
- S. Emery, M. A. Wakefield, Y. Terry-McElrath, H. Saffer, G. Szczypka, P. M. OâĂŹMalley, L. D. Johnston, F. J. Chaloupka, and B. Flay. Televised state-sponsored antitobacco advertising and youth smoking beliefs and behavior in the united states, 1999--2000. Archives of pediatrics & adolescent medicine, 159(7):639--645, 2005.Google Scholar
- S. T. Fiske and D. T. Gilbert. Handbook of social psychology, volume 2. John Wiley & Sons, 2010.Google ScholarCross Ref
- A. Guille, H. Hacid, C. Favre, and D. A. Zighed. Information diffusion in online social networks: A survey. ACM SIGMOD Record, 42(2):17--28, 2013. Google ScholarDigital Library
- Y. Kim. Effects of televised direct-to-consumer advertising for varenicline on prescription dispensing in the united states, 2006-2009. In 143rd APHA Annual Meeting and Exposition (October 31-November 4, 2015). APHA, 2015.Google Scholar
- S. Lin, Q. Hu, F. Wang, and P. S. Yu. Steering information diffusion dynamically against user attention limitation. In Data Mining (ICDM), 2014 IEEE International Conference on, pages 330--339. IEEE, 2014. Google ScholarDigital Library
- S. Lin, F. Wang, Q. Hu, and P. S. Yu. Extracting social events for learning better information diffusion models. In Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 365--373. ACM, 2013. Google ScholarDigital Library
- S. A. Myers, C. Zhu, and J. Leskovec. Information diffusion and external influence in networks. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 33--41. ACM, 2012. Google ScholarDigital Library
- M. Pagani and A. Mirabello. The influence of personal and social-interactive engagement in social tv web sites. International Journal of Electronic Commerce, 16(2):41--68, 2011. Google ScholarDigital Library
- Q. Zhan, J. Zhang, S. Wang, S. Y. Philip, and J. Xie. Influence maximization across partially aligned heterogenous social networks. In Advances in Knowledge Discovery and Data Mining, pages 58--69. Springer, 2015.Google ScholarCross Ref
Index Terms
- How TV advertising and social network help tobacco control campaigns influence more
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