A Smoking Cessation Campaign on Twitter: Understanding the Use of Twitter and Identifying Major Players in a Health Campaign

References

• Atkin, C. K., Rice, R. E., & Valdivia, A. N. (2012). Advances in public communication campaigns. In C. K. Atkin & R. E. Rice (Eds.), The international encyclopedia of media studies (pp. 526–551). London, UK: Wiley-Blackwell.
   Google Scholar
• Bauman, A., & Nutbeam, D. (2013). Evaluation in a nutshell: A practical guide to the evaluation of health promotion programs. Sydney, Australia: McGraw-Hill.
   Google Scholar
• Boyd, D., Golder, S., & Lotan, G. (2010). Tweet, tweet, retweet: Conversational aspects of retweeting on Twitter. In R. H. Sprague, Jr. (Ed.), Proceedings from the 43rd Hawaii International Conference on System Sciences (HICSS) (pp. 1–10). Washington, DC: IEEE Press.
   Google Scholar
• Bruns, A., & Burgess, J. E. (2011, August). The use of Twitter hashtags in the formation of ad hoc publics. Presentation at the 6th European Consortium for Political Research General Conference, Reykjavik, Iceland.
   Google Scholar
• Ceni, A., Hogan, B., & Smith, M. (2014). Social Network Importer for NodeXL [Computer software]. Retrieved from http://socialnetimporter.codeplex.com/
   Google Scholar
• Centers for Disease Control and Prevention. (2015, January 13). Tips From Former Smokers. Retrieved from http://www.cdc.gov/tobacco/campaign/tips/
   Google Scholar
• Chang, H.-C. (2010). A new perspective on Twitter hashtag use: Diffusion of innovation theory. Proceedings of the American Society for Information Science and Technology, 47(1), 1–4. doi:10.1002/meet.14504701295
   Google Scholar
• Chou, W. S., Hunt, Y. M., Beckjord, E. B., Moser, R. P., & Hesse, B. W. (2009). Social media use in the United States: Implications for health communication. Journal of Medical Internet Research, 11(4), e48. doi:10.2196/jmir.1249
   PubMed Web of Science ®Google Scholar
• Cogan, P., Andrews, M., Bradonjic, M., Kennedy, W. S., Sala, A., & Tucci, G. (2012). Reconstruction and analysis of Twitter conversation graphs. In Proceedings of the First ACM International Workshop on Hot Topics on Interdisciplinary Social Networks Research (pp. 25–31). New York, NY: ACM. doi:10.1145/2392622.2392626
   Google Scholar
• Conway, B. A., Kenski, K., & Wang, D. (2013). Twitter use by presidential primary candidates during the 2012 campaign. American Behavioral Scientist, 57(11), 1596–1610. doi:10.1177/0002764213489014
   Web of Science ®Google Scholar
• Culotta, A. (2010). Towards detecting influenza epidemics by analyzing Twitter messages. In P. Melville, J. Leskovec, & F. Provost (Eds.)., Proceedings of the First Workshop on Social Media Analytics (pp. 115–122). New York, NY: ACM. doi:10.1145/1964858.1964874
   Google Scholar
• Cunha, E., Magno, G., Goncalves, M. A., Cambraia, C., & Almeida, V. (2014). He votes or she votes? Female and male discursive strategies in Twitter political hashtags. PLOS ONE, 9(1), e87041. doi:10.1371/journal.pone.0087041
   Google Scholar
• Eirinaki, M., Monga, S. P. S., & Sundaram, S. (2012). Identification of influential social networkers. International Journal of Web Based Communities, 8(2), 136–158. doi:10.1504/IJWBC.2012.046256
   Google Scholar
• Emery, S. L., Szczypka, G., Abril, E. P., Kim, Y., & Vera, L. (2014). Are you scared yet? Evaluating fear appeal messages in tweets about the tips campaign. Journal of Communication, 64(2), 278–295. doi:10.1111/jcom.2014.64.issue-2
   PubMed Web of Science ®Google Scholar
• Eysenbach, G. (2009). Infodemiology and infoveillance: Framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. Journal of Medical Internet Research, 11(1), e11. doi:10.2196/jmir.1157
   PubMed Web of Science ®Google Scholar
• Funk, T. (2011). Social media playbook for business: Reaching your online community with Twitter, Facebook, LinkedIn, and more. Santa Barbara, CA: Praeger.
   Google Scholar
• Gensler, S., Völckner, F., Liu-Thompkins, Y., & Wiertz, C. (2013). Managing brands in the social media environment. Journal of Interactive Marketing, 27(4), 242–256. doi:10.1016/j.intmar.2013.09.004
   Web of Science ®Google Scholar
• Gillin, P., & Moore, G. A. (2009). The new influencers: A marketer’s guide to the new social media. Sanger, CA: Linden.
   Google Scholar
• Hanneman, R. A., & Riddle, M. (2005). Introduction to social network methods. Riverside: University of California, Riverside.
   Google Scholar
• Harris, J. K., Moreland-Russell, S., Tabak, R. G., Ruhr, L. R., & Maier, R. C. (2014). Communication about childhood obesity on Twitter. American Journal of Public Health, 104(7), e62–e69. doi:10.2105/AJPH.2013.301860
   PubMed Web of Science ®Google Scholar
• Harris, J. K., Mueller, N. L., & Snider, D. (2013). Social media adoption in local health departments nationwide. American Journal of Public Health, 103(9), 1700–1707. doi:10.2105/AJPH.2012.301166
   PubMed Web of Science ®Google Scholar
• Heldman, A. B., Schindelar, J., & Weaver, J. B. (2013). Social media engagement and public health communication: Implications for public health organizations being truly “social.” Public Health Reviews, 35(1), 1–18.
   Google Scholar
• Honey, C., & Herring, S. C. (2009). Beyond microblogging: Conversation and collaboration via Twitter. In R. H. Sprague, Jr. (Ed.), Proceedings from the 42nd Hawaii International Conference on System Sciences (HICSS) (pp. 1–10). Washington, DC: IEEE Press.
   Google Scholar
• Huang, L.-L., Thrasher, J. F., Abad, E. N., Cummings, K. M., Bansal-Travers, M., Brown, A., & Nagelhout, G. E. (2015). The U.S. National Tips From Former Smokers Antismoking Campaign: Promoting awareness of smoking-related risks, cessation resources, and cessation behaviors. Health Education & Behavior, 42, 480–486. doi:10.1177/1090198114564503
   PubMed Web of Science ®Google Scholar
• Jawad, M., Abass, J., Hariri, A., & Akl, E. A. (2015). Social media use for public health campaigning in a low resource setting: The case of waterpipe tobacco smoking. BioMed Research International, 2015, 1–4. Retrieved from http://www.hindawi.com/journals/bmri/2015/562586/abs/
   Web of Science ®Google Scholar
• Krogstad, J. M. (2015, February 3). Social media preferences vary by race and ethnicity. Retrieved from the Pew Research Center website: http://www.pewresearch.org/fact-tank/2015/02/03/social-media-preferences-vary-by-race-and-ethnicity/
   Google Scholar
• Kwon, E. S., Kim, E., Sung, Y., & Yoo, C. Y. (2014). Brand followers. International Journal of Advertising, 33(4), 657–680. doi:10.2501/IJA-33-4-657-680
   Web of Science ®Google Scholar
• Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174.
   PubMed Web of Science ®Google Scholar
• Lazarsfeld, P. F., Berelson, B., & Gaudet, H. (1968). The people’s choice: How the voter makes up his mind in a presidential campaign. New York, NY: Columbia University Press.
   Google Scholar
• McAfee, T., Davis, K. C., Alexander, R. L., Pechacek, T. F., & Bunnell, R. (2013). Effect of the first federally funded US antismoking national media campaign. The Lancet, 382(9909), 2003–2011. doi:10.1016/S0140-6736(13)61686-4
   PubMed Web of Science ®Google Scholar
• McCombs, M. E., & Shaw, D. L. (1972). The agenda-setting function of mass media. Public Opinion Quarterly, 36(2), 176–187. doi:10.1086/267990
   Web of Science ®Google Scholar
• Myslin, M., Zhu, S.-H., Chapman, W., & Conway, M. (2013). Using Twitter to examine smoking behavior and perceptions of emerging tobacco products. Journal of Medical Internet Research, 15(8), e174. doi:10.2196/jmir.2534
   PubMed Web of Science ®Google Scholar
• Neiger, B. L., Thackeray, R., Burton, S. H., Thackeray, C. R., & Reese, J. H. (2013). Use of Twitter among local health departments: An analysis of information sharing, engagement, and action. Journal of Medical Internet Research, 15(8), e177. doi:10.2196/jmir.2775
   PubMed Web of Science ®Google Scholar
• Neiger, B. L., Thackeray, R., Wagenen, S. A. V., Hanson, C. L., West, J. H., Barnes, M. D., & Fagen, M. C. (2012). Use of social media in health promotion purposes, key performance indicators, and evaluation metrics. Health Promotion Practice, 13(2), 159–164. doi:10.1177/1524839911433467
   PubMedGoogle Scholar
• Neuman, W. R., Guggenheim, L., Jang, S. M., & Bae, S. Y. (2014). The dynamics of public attention: Agenda-setting theory meets big data. Journal of Communication, 64(2), 193–214. doi:10.1111/jcom.2014.64.issue-2
   Web of Science ®Google Scholar
• Nguyen, P., Gold, J., Pedrana, A., Chang, S., Howard, S., Ilic, O., & Stoove, M. (2013). Sexual health promotion on social networking sites: A process evaluation of The FaceSpace Project. Journal of Adolescent Health, 53(1), 98–104. doi:10.1016/j.jadohealth.2013.02.007
   PubMed Web of Science ®Google Scholar
• Park, H., Rodgers, S., & Stemmle, J. (2013). Analyzing health organizations’ use of Twitter for promoting health literacy. Journal of Health Communication, 18(4), 410–425. doi:10.1080/10810730.2012.727956
   PubMed Web of Science ®Google Scholar
• Paul, M. J., & Dredze, M. (2011). You are what you tweet: Analyzing Twitter for public health. In N. Nicolov, J. G. Shanahan, L. Adamic, R. Baeza-Yates, & S. Counts (Eds.), Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media. Menlo Park, CA: AAAI Press.
   Google Scholar
• Purohit, H., Hampton, A., Shalin, V. L., Sheth, A. P., Flach, J., & Bhatt, S. (2013). What kind of #conversation is Twitter? Mining #psycholinguistic cues for emergency coordination. Computers in Human Behavior, 29(6), 2438–2447. doi:10.1016/j.chb.2013.05.007
   Web of Science ®Google Scholar
• Rigotti, N. A., & Wakefield, M. (2012). Real people, real stories: A new mass media campaign that could help smokers quit. Annals of Internal Medicine, 157(12), 907–909. doi:10.7326/0003-4819-156-1-201201010-00541
   PubMed Web of Science ®Google Scholar
• Rogers, E. M. (1962). Diffusion of innovations. Glencoe, IL: Free Press.
   Google Scholar
• Rossi, L., & Magnani, M. (2012). Conversation practices and network structure in Twitter. In J. G. Breslin, N. B. Ellison, J. B. Shanahan, & Z. Tufecki (Eds.), Proceedings of the Sixth International AAAI Conference on Weblogs and Social Media. Menlo Park, CA: AAAI Press.
   Google Scholar
• Salathé, M., & Khandelwal, S. (2011). Assessing vaccination sentiments with online social media: Implications for infectious disease dynamics and control. PLOS Computational Biology, 7(10), e1002199. doi:10.1371/journal.pcbi.1002199
   PubMed Web of Science ®Google Scholar
• Sanders-Jackson, A., Brown, C. G., & Prochaska, J. J. (2015). Applying linguistic methods to understanding smoking-related conversations on Twitter. Tobacco Control, 24(2), 136–138. doi:10.1136/tobaccocontrol-2013-051243
   PubMed Web of Science ®Google Scholar
• Scanfeld, D., Scanfeld, V., & Larson, E. L. (2010). Dissemination of health information through social networks: Twitter and antibiotics. American Journal of Infection Control, 38(3), 182–188. doi:10.1016/j.ajic.2009.11.004
   PubMed Web of Science ®Google Scholar
• Signorini, A., Segre, A. M., & Polgreen, P. M. (2011). The use of Twitter to track levels of disease activity and public concern in the U.S. during the influenza A H1N1 pandemic. PLOS ONE, 6(5), e19467. doi:10.1371/journal.pone.0019467
   PubMed Web of Science ®Google Scholar
• Small, T. A. (2011). What the hashtag? Information, Communication & Society, 14(6), 872–895. doi:10.1080/1369118X.2011.554572
   Web of Science ®Google Scholar
• Smith, M., Milic-Frayling, N., Shneiderman, B., Mendes Rodrigues, E., Leskovec, J., & Dunne, C. (2014). NodeXL [Computer software]. Retrieved from http://nodexl.codeplex.com/
   Google Scholar
• Smith, M., Rainie, L., Shneiderman, B., & Himelboim, I. (2014). Mapping Twitter topic networks: From polarized crowds to community clusters. Washington, DC: Pew Research Center and Social Media Research Foundation Retrieved from http://www.pewinternet.org/files/2014/02/PIP_Mapping-Twitter-networks_022014.pdf
   Google Scholar
• Szczypka, G., Emery, S., & Aly, E. (2012, August). Harvesting the Twitter firehose for measurement and analysis: A content analysis of tweets from the CDC’s Tips From Former Smokers campaign. Presentation at the National Conference on Health Communication, Marketing, and Media, Atlanta, GA.
   Google Scholar
• Thackeray, R., Burton, S. H., Giraud-Carrier, C., Rollins, S., & Draper, C. R. (2013). Using Twitter for breast cancer prevention: An analysis of breast cancer awareness month. BMC Cancer, 13, 508. doi:10.1186/1471-2407-13-508
   PubMed Web of Science ®Google Scholar
• Thackeray, R., Neiger, B. L., Burton, S. H., & Thackeray, C. R. (2013). Analysis of the purpose of state health departments’ tweets: Information sharing, engagement, and action. Journal of Medical Internet Research, 15(11), e255. doi:10.2196/jmir.3002
   PubMed Web of Science ®Google Scholar
• Wehner, M. R., Chren, M.-M., Shive, M. L., Resneck, J. S., Pagoto, S., Seidenberg, A. B., & Linos, E. (2014). Twitter: An opportunity for public health campaigns. The Lancet, 384(9938), 131–132. doi:10.1016/S0140-6736(14)61161-2
   PubMed Web of Science ®Google Scholar
• West, J. H. (2012). Temporal variability of problem drinking on Twitter. Open Journal of Preventive Medicine, 02(01), 43–48. doi:10.4236/ojpm.2012.21007
   Google Scholar
• Ye, S., & Wu, S. F., Aly, E. (2010, August). Measuring message propagation and social influence on Twitter.com. In L. Bolc, M. Makowski, & A. Wierzbicki (Eds.), Social informatics (pp. 216–231). Berlin, Germany: Springer-Verlag Berlin Heidelberg.
   Google Scholar
• Yoon, S., Elhadad, N., & Bakken, S. (2013). A practical approach for content mining of tweets. American Journal of Preventive Medicine, 45(1), 122–129. doi:10.1016/j.amepre.2013.02.025
   PubMed Web of Science ®Google Scholar