The Effect of Anti-Tobacco Ad Length and Skippability on Perceived Message Effectiveness and Emotional Responsiveness

References

• Beasley, S., Barker, A., Murphy, M., Roderick, T., & Carroll, T. (2020). What makes an effective antismoking campaign – insights from the trenches. Public Health Research & Practice, 30(3), 3032021. https://doi.org/10.17061/phrp3032021
   PubMed Web of Science ®Google Scholar
• Brennan, E., Durkin, S. J., Wakefield, M. A., & Kashima, Y. (2014). Assessing the effectiveness of antismoking television advertisements: Do audience ratings of perceived effectiveness predict changes in quitting intentions and smoking behaviours? Tobacco Control, 23(5), 412–418. https://doi.org/10.1136/tobaccocontrol-2012-050949
   PubMed Web of Science ®Google Scholar
• Cantrell, J., Bingenheimer, J., Tulsiani, S., Hair, E., Vallone, D., Mills, S., Gerard, R., & Evans, W. D. (2022). Assessing digital advertising exposure using a virtual experimental protocol. Digital Health, 8(7), 20552076221102260. https://doi.org/10.1177/20552076221102260
   Google Scholar
• CDC. (2017). NHIS – adult tobacco use – glossary. https://www.cdc.gov/nchs/nhis/tobacco/tobacco_glossary.htm
   Google Scholar
• Cotter, T., Durkin, S., & Bayly, M. (2020, 14). Mass media public education campaigns: An overview. In E. Greenhalgh, M. Scollo & M. Winstanley (Eds.), Tobacco in Australia: Facts & issues. Cancer Council Victoria. https://www.tobaccoinaustralia.org.au/chapter-14-social-marketing/14-1-social-marketing-and-public-education-campaig
   Google Scholar
• Davis, K. C., Nonnemaker, J., Duke, J., & Farrelly, M. C. (2013). Perceived effectiveness of cessation advertisements: The importance of audience reactions and practical implications for media campaign planning. Health Communication, 28(5), 461–472. https://doi.org/10.1080/10410236.2012.696535
   PubMed Web of Science ®Google Scholar
• Deloitte. (2021). Media consumer survey 2021. https://asset-cdn.campaignbrief.com/wp-content/uploads/2021/09/20121727/Deloitte-Australia-Media-Consumer-Survey-2021.pdf
   Google Scholar
• Durkin, S., Bayly, M., Brennan, E., Biener, L., & Wakefield, M. (2018). Fear, sadness and hope: Which emotions maximize impact of anti-tobacco mass media advertisements among lower and higher SES groups? Journal of Health Communication, 23(5), 445–461. https://doi.org/10.1080/10810730.2018.1463320
   PubMed Web of Science ®Google Scholar
• Durkin, S., Brennan, E., & Wakefield, M. (2012). Mass media campaigns to promote smoking cessation among adults: An integrative review. Tobacco Control, 21(2), 127–138. https://doi.org/10.1136/tobaccocontrol-2011-050345
   PubMed Web of Science ®Google Scholar
• Durkin, S. J., Brennan, E., & Wakefield, M. A. (2022). Optimising tobacco control campaigns within a changing media landscape and among priority populations. Tobacco Control, 31(2), 284–290. https://doi.org/10.1136/tobaccocontrol-2021-056558
   PubMed Web of Science ®Google Scholar
• Durkin, S. J., Wakefield, M. A., & Spittal, M. J. (2011). Which types of televised anti-tobacco campaigns prompt more quitline calls from disadvantaged groups? Health Education Research, 26(6), 998–1009. https://doi.org/10.1093/her/cyr048
   PubMed Web of Science ®Google Scholar
• Glanz, K., Rimer, B. K., & Lewis, F. M. (Eds.). (2002). Health behavior and health education: Theory, research and practice. Jossey-Bass.
   Google Scholar
• Hill, D., & Carroll, T. (2003). Australia’s national tobacco campaign. Tobacco Control, 2 (Suppl 2), ii9–14. https://doi.org/10.1136/tc.12.suppl_2.ii9
   Google Scholar
• Instagram. (2024, July 5). Wikipedia. https://en.wikipedia.org/wiki/Instagram
   Google Scholar
• Kanchan, S., & Gaidhane, A. (2023). Social media role and its impact on public health: A narrative review. Cureus, 15(1), e33737. https://doi.org/10.7759/cureus.33737
   PubMed Web of Science ®Google Scholar
• Lee, M. H., Kim, S. J., Yoon, S.-H., & Park, S. (2021). An integrative approach to determinants of pre-roll ad acceptance and their relative impact: Evidence from big data. Journal of Advertising, 51(1), 76–84. https://doi.org/10.1080/00913367.2021.1932643
   Web of Science ®Google Scholar
• Luttrell, A., & Sawicki, V. (2020). Attitude strength: Distinguishing predictors versus defining features. Social and Personality Psychology Compass, 14(8), e12555. https://doi.org/10.1111/spc3.12555
   Web of Science ®Google Scholar
• McGuire, W. J. (1989). Theoretical foundations of campaigns. In R. E. Rice & C. K. Atkin (Eds.), Public communication campaigns (pp. 43–65). Sage.
   Google Scholar
• Michie, S., van Stralen, M. M., & West, R. (2011). The behaviour change wheel: A new method for characterising and designing behaviour change interventions. Implement Science, 6(1), 42. https://doi.org/10.1186/1748-5908-6-42
   PubMed Web of Science ®Google Scholar
• Nabi, R. L. (2015). Emotional flow in persuasive health messages. Health Communication, 30(2), 114–124. https://doi.org/10.1080/10410236.2014.974129
   PubMed Web of Science ®Google Scholar
• Nabi, R. L., & Myrick, J. G. (2019). Uplifting fear appeals: Considering the role of hope in fear-based persuasive messages. Health Communication, 34(4), 463–474. https://doi.org/10.1080/10410236.2017.1422847
   PubMed Web of Science ®Google Scholar
• Nielsen-Australia. (2021, August). Tracking the evolution of global TV viewing. Nielsen. https://www.nielsen.com/us/en/insights/article/2021/tracking-the-evolution-of-global-tv-viewing/
   Google Scholar
• Nielsen-USA. (2021, March). The Nielsen total audience report. Nielsen. https://www.nielsen.com/insights/2021/total-audience-advertising-across-todays-media/
   Google Scholar
• Noar, S. M., Bell, T., Kelley, D., Barker, J., & Yzer, M. (2018). Perceived message effectiveness measures in tobacco education campaigns: A systematic review. Communication Methods and Measures, 12(4), 295–313. https://doi.org/10.1080/19312458.2018.1483017
   PubMed Web of Science ®Google Scholar
• Pashkevich, M., Dorai-Raj, S., Kellar, M., & Zigmond, D. (2012). Empowering online advertisements by empowering viewers with the right to choose. Journal of Advertising Research, 52(4), 451–457. https://doi.org/10.2501/jar-52-4-451-457
   Web of Science ®Google Scholar
• Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In L. Berkowitz (Ed.), Advances in experimental and social psychology (Vol. 19, pp. 123–205). Academic Press.
   Google Scholar
• Romberg, A. R., Tulsiani, S., Kreslake, J. M., Miller Lo, E. J., Simard, B., Rask, A., Arismendez, S. V., Vallone, D. M., & Hair, E. C. (2020). Effects of multiple exposures and ad-skipping behavior on recall of health messages on YouTube. International Journal of Environmental Research and Public Health, 17(22), 8427. https://doi.org/10.3390/ijerph17228427
   PubMed Web of Science ®Google Scholar
• Rosenstock, I. M. (1974). The health belief model and preventive health behavior. Health Education Monographs, 2(4), 354–386. https://doi.org/10.1177/109019817400200405
   Google Scholar
• Schillinger, D., Chittamuru, D., & Ramirez, A. S. (2020). From “infodemics” to health promotion: A novel framework for the role of social media in public health. American Journal of Public Health, 110(9), 1393–1396. https://doi.org/10.2105/AJPH.2020.305746
   PubMed Web of Science ®Google Scholar
• Shahbaznezhad, H., Dolan, R., & Rashidirad, M. (2021). The role of social media content format and platform in users’ engagement behavior. Journal of Interactive Marketing, 53(1), 47–65. https://doi.org/10.1016/j.intmar.2020.05.001
   Google Scholar
• TikTok. (2024, July 7). Wikipedia. https://en.wikipedia.org/wiki/TikTok
   Google Scholar
• Wakefield, M. A., Loken, B., & Hornik, R. C. (2010). Use of mass media campaigns to change health behaviour. Lancet, 376(9748), 1261–1271. https://doi.org/10.1016/S0140-6736(10)60809-4
   PubMed Web of Science ®Google Scholar
• Westcott, K., Arbanas, J., Downs, K., Arkenberg, C., & Jarvis, D. (2021). Digital media trends (15th ed.). Deloitte. https://www2.deloitte.com/us/en/insights/industry/technology/digital-media-trends-consumption-habits-survey/summary-2021.html
   Google Scholar