Abstract
Mass media campaigns are traditional methods of raising public awareness in order to reinforce positive behaviors and beliefs. However, social media platforms such as Twitter have the potential to offer an additional route into raising awareness of general and specific health conditions. The aim of this study was to investigate the extent to which a public health campaign, World Autism Awareness Day (WAAD), could increase Twitter activity and influence the average sentiment on Twitter, and to discover the types of information that was shared on the platform during a targeted awareness campaign. This study gathered over 2,315,283 tweets in a two-month period. Evidence suggests that the autism campaign, WAAD, was successful in raising awareness on Twitter, as an increase in both the volume of tweets and level of positive sentiment were observed during this time. In addition, a framework for assessing the success of health campaigns was developed. Further work is required on this topic to determine whether health campaigns have any long lasting impact on Twitter users.
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References
Randolph, W., Viswanath, K.: Lessons learned from public health mass media campaigns: marketing health in a crowded media world. Ann. Rev. Public Health 25, 419–437 (2004). https://doi.org/10.1146/annurev.publhealth.25.101802.123046
Hornik, R.: Public Health Communication Evidence for Behavior Change. Lawrence Erlbaum Associates, Mahwah (2002)
General Assembly Resolution 62/139. Resolution adopted by the General Assembly on 18 December 2007. http://www.un.org/ga/search/view_doc.asp?symbol=A/RES/62/139
Bryman, A.: Social Research Methods, 2nd edn. Oxford University Press, Oxford (2004)
DiscoverText: DiscoverText. https://www.discovertext.com/. Accessed 12 Feb 2015
Mozdeh: Mozdeh Twitter Time Series Analysis. http://mozdeh.wlv.ac.uk/. Accessed 19 May 2015
Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., Kappas, A.: Sentiment strength detection in short informal text. J. Assoc. Inf. Sci. Technol. 61(12), 2544–2558 (2010)
Gerlitz, C., Rieder, B.: Mining one percent of Twitter: collections, baselines, sampling. M/C J. 16(2) (2013)
Social Media Research Foundation: NodeXL. http://www.smrfoundation.org/nodexl/. Accessed 28 May 2015
Ahmed, W.: More room for greater depth and detail: implications for academic research of Twitter’s expanded character limit. LSE Impact Blog (2018). http://blogs.lse.ac.uk/impactofsocialsciences/2018/02/09/more-room-for-greater-depth-and-detail-implications-for-academic-research-of-twitters-expanded-character-limit
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Ahmed, W., Bath, P.A., Sbaffi, L., Demartini, G. (2018). Measuring the Effect of Public Health Campaigns on Twitter: The Case of World Autism Awareness Day. In: Chowdhury, G., McLeod, J., Gillet, V., Willett, P. (eds) Transforming Digital Worlds. iConference 2018. Lecture Notes in Computer Science(), vol 10766. Springer, Cham. https://doi.org/10.1007/978-3-319-78105-1_2
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