What Online Communities Can Tell Us About Electronic Cigarettes and Hookah Use: A Study Using Text Mining and Visualization Techniques

Annie T Chen, Shu-Hong Zhu, Mike Conway, Annie T Chen, Shu-Hong Zhu, Mike Conway

Abstract

Background: The rise in popularity of electronic cigarettes (e-cigarettes) and hookah over recent years has been accompanied by some confusion and uncertainty regarding the development of an appropriate regulatory response towards these emerging products. Mining online discussion content can lead to insights into people's experiences, which can in turn further our knowledge of how to address potential health implications. In this work, we take a novel approach to understanding the use and appeal of these emerging products by applying text mining techniques to compare consumer experiences across discussion forums.

Objective: This study examined content from the websites Vapor Talk, Hookah Forum, and Reddit to understand people's experiences with different tobacco products. Our investigation involves three parts. First, we identified contextual factors that inform our understanding of tobacco use behaviors, such as setting, time, social relationships, and sensory experience, and compared the forums to identify the ones where content on these factors is most common. Second, we compared how the tobacco use experience differs with combustible cigarettes and e-cigarettes. Third, we investigated differences between e-cigarette and hookah use.

Methods: In the first part of our study, we employed a lexicon-based extraction approach to estimate prevalence of contextual factors, and then we generated a heat map based on these estimates to compare the forums. In the second and third parts of the study, we employed a text mining technique called topic modeling to identify important topics and then developed a visualization, Topic Bars, to compare topic coverage across forums.

Results: In the first part of the study, we identified two forums, Vapor Talk Health & Safety and the Stopsmoking subreddit, where discussion concerning contextual factors was particularly common. The second part showed that the discussion in Vapor Talk Health & Safety focused on symptoms and comparisons of combustible cigarettes and e-cigarettes, and the Stopsmoking subreddit focused on psychological aspects of quitting. Last, we examined the discussion content on Vapor Talk and Hookah Forum. Prominent topics included equipment, technique, experiential elements of use, and the buying and selling of equipment.

Conclusions: This study has three main contributions. Discussion forums differ in the extent to which their content may help us understand behaviors with potential health implications. Identifying dimensions of interest and using a heat map visualization to compare across forums can be helpful for identifying forums with the greatest density of health information. Additionally, our work has shown that the quitting experience can potentially be very different depending on whether or not e-cigarettes are used. Finally, e-cigarette and hookah forums are similar in that members represent a "hobbyist culture" that actively engages in information exchange. These differences have important implications for both tobacco regulation and smoking cessation intervention design.

Keywords: cigarettes; electronic cigarettes; hookah smoking; social media; text mining; tobacco products.

Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Contextual factors of e-cigarette and hookah use.
Figure 2
Figure 2
Topic Bars: Quitting in Vapor Talk Health & Safety versus the Stopsmoking Subreddit.
Figure 3
Figure 3
Topic Bars: Vapor Talk General E-Cig versus Hookah Forum General Discussion.

References

    1. Corley CD, Cook DJ, Mikler AR, Singh KP. Text and structural data mining of influenza mentions in Web and social media. Int J Environ Res Public Health. 2010 Feb;7(2):596–615. doi: 10.3390/ijerph7020596.
    1. Scanfeld D, Scanfeld V, Larson EL. Dissemination of health information through social networks: twitter and antibiotics. Am J Infect Control. 2010 Apr;38(3):182–8. doi: 10.1016/j.ajic.2009.11.004.
    1. Salathé M, Khandelwal S. Assessing vaccination sentiments with online social media: implications for infectious disease dynamics and control. PLoS Comput Biol. 2011 Oct;7(10):e1002199. doi: 10.1371/journal.pcbi.1002199.
    1. Eysenbach G. Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. J Med Internet Res. 2009;11(1):e11. doi: 10.2196/jmir.1157.
    1. Brownstein JS, Freifeld CC, Madoff LC. Digital disease detection--harnessing the Web for public health surveillance. N Engl J Med. 2009 May 21;360(21):2153–5, 2157. doi: 10.1056/NEJMp0900702.
    1. Salathé M, Bengtsson L, Bodnar TJ, Brewer DD, Brownstein JS, Buckee C, Campbell EM, Cattuto C, Khandelwal S, Mabry PL, Vespignani A. Digital epidemiology. PLoS Comput Biol. 2012;8(7):e1002616. doi: 10.1371/journal.pcbi.1002616.
    1. Myslín M, Zhu S, Chapman W, Conway M. Using twitter to examine smoking behavior and perceptions of emerging tobacco products. J Med Internet Res. 2013;15(8):e174. doi: 10.2196/jmir.2534.
    1. Chen AT. Exploring online support spaces: using cluster analysis to examine breast cancer, diabetes and fibromyalgia support groups. Patient Educ Couns. 2012 May;87(2):250–7. doi: 10.1016/j.pec.2011.08.017.
    1. Cobb Nathan K, Graham Amanda L, Byron M Justin, Niaura Raymond S, Abrams David B, Workshop Participants. Online social networks and smoking cessation: a scientific research agenda. J Med Internet Res. 2011;13(4):e119. doi: 10.2196/jmir.1911.
    1. Regan AK, Promoff G, Dube SR, Arrazola R. Electronic nicotine delivery systems: adult use and awareness of the 'e-cigarette' in the USA. Tob Control. 2013 Jan;22(1):19–23. doi: 10.1136/tobaccocontrol-2011-050044.
    1. Vardavas CI, Filippidis FT, Agaku IT. Determinants and prevalence of e-cigarette use throughout the European Union: a secondary analysis of 26 566 youth and adults from 27 Countries. Tob Control. 2015 Sep;24(5):442–448. doi: 10.1136/tobaccocontrol-2013-051394.
    1. Zhu S, Gamst A, Lee M, Cummins S, Yin L, Zoref L. The use and perception of electronic cigarettes and snus among the U.S. population. PLoS One. 2013;8(10):e79332. doi: 10.1371/journal.pone.0079332.
    1. Pearson Jennifer L, Richardson Amanda, Niaura Raymond S, Vallone Donna M, Abrams David B. e-Cigarette awareness, use, and harm perceptions in US adults. Am J Public Health. 2012 Sep;102(9):1758–66. doi: 10.2105/AJPH.2011.300526.
    1. Etter J. Electronic cigarettes: a survey of users. BMC Public Health. 2010;10:231. doi: 10.1186/1471-2458-10-231.
    1. Etter J, Bullen C. Electronic cigarette: users profile, utilization, satisfaction and perceived efficacy. Addiction. 2011 Nov;106(11):2017–28. doi: 10.1111/j.1360-0443.2011.03505.x.
    1. Maziak W, Ward KD, Afifi SRA, Eissenberg T. Tobacco smoking using a waterpipe: a re-emerging strain in a global epidemic. Tob Control. 2004 Dec;13(4):327–33. doi: 10.1136/tc.2004.008169.
    1. Martinasek MP, McDermott RJ, Martini L. Waterpipe (hookah) tobacco smoking among youth. Curr Probl Pediatr Adolesc Health Care. 2011 Feb;41(2):34–57. doi: 10.1016/j.cppeds.2010.10.001.
    1. Soule EK, Barnett TE, Curbow BA. Keeping the night going: the role of hookah bars in evening drinking behaviours. Public Health. 2012 Dec;126(12):1078–81. doi: 10.1016/j.puhe.2012.06.010.
    1. Blank MD, Brown KW, Goodman RJ, Eissenberg T. An observational study of group waterpipe use in a natural environment. Nicotine Tob Res. 2014 Jan;16(1):93–9. doi: 10.1093/ntr/ntt120.
    1. Nakkash RT, Khalil J, Afifi RA. The rise in narghile (shisha, hookah) waterpipe tobacco smoking: a qualitative study of perceptions of smokers and non smokers. BMC Public Health. 2011;11:315. doi: 10.1186/1471-2458-11-315.
    1. Sutfin EL, Song EY, Reboussin BA, Wolfson M. What are young adults smoking in their hookahs? A latent class analysis of substances smoked. Addict Behav. 2014 Jul;39(7):1191–6. doi: 10.1016/j.addbeh.2014.03.020.
    1. Heinz AJ, Giedgowd GE, Crane NA, Veilleux JC, Conrad M, Braun AR, Olejarska NA, Kassel JD. A comprehensive examination of hookah smoking in college students: use patterns and contexts, social norms and attitudes, harm perception, psychological correlates and co-occurring substance use. Addict Behav. 2013 Nov;38(11):2751–60. doi: 10.1016/j.addbeh.2013.07.009.
    1. Chan WC, Leatherdale ST, Burkhalter R, Ahmed R. Bidi and hookah use among Canadian youth: an examination of data from the 2006 Canadian Youth Smoking Survey. J Adolesc Health. 2011 Jul;49(1):102–4. doi: 10.1016/j.jadohealth.2010.11.250.
    1. Blachman-Braun R, Del Mazo-Rodríguez RL, López-Sámano G, Buendía-Roldán I. Hookah, is it really harmless? Respir Med. 2014 May;108(5):661–7. doi: 10.1016/j.rmed.2014.01.013.
    1. Aljarrah K, Ababneh ZQ, Al-Delaimy WK. Perceptions of hookah smoking harmfulness: predictors and characteristics among current hookah users. Tob Induc Dis. 2009;5(1):16. doi: 10.1186/1617-9625-5-16.
    1. Hua M, Alfi M, Talbot P. Health-related effects reported by electronic cigarette users in online forums. J Med Internet Res. 2013;15(4):e59. doi: 10.2196/jmir.2324.
    1. Huang J, Kornfield R, Szczypka G, Emery SL. A cross-sectional examination of marketing of electronic cigarettes on Twitter. Tob Control. 2014 Jul;23 Suppl 3:iii26–30. doi: 10.1136/tobaccocontrol-2014-051551.
    1. Brockman LN, Pumper MA, Christakis DA, Moreno MA. Hookah's new popularity among US college students: a pilot study of the characteristics of hookah smokers and their Facebook displays. BMJ Open. 2012;2(6):e001709. doi: 10.1136/bmjopen-2012-001709.
    1. Carroll MV, Shensa A, Primack BA. A comparison of cigarette- and hookah-related videos on YouTube. Tob Control. 2013 Sep;22(5):319–23. doi: 10.1136/tobaccocontrol-2011-050253.
    1. Murphy J, Link MW, Childs JH, Tesfaye CL, Dean E, Stern M, Pasek J, Cohen J, Callegaro M, Harwood P. Social Media in Public Opinion Research: Report of the AAPOR Task Force on Emerging Technologies in Public Opinion Research. 2014. [2015-07-02]. .
    1. Vapor Talk. [2015-09-15].
    1. Hookah Forum. [2015-04-05].
    1. Reddit. [2015-04-06]. .
    1. Bogers T, Wernersen RN. How 'social' are social news sites? Exploring the motivations for using Reddit. iConference 2014; March 4-7, 2014; Berlin, Germany. 2014. pp. 329–344.
    1. 6% of Online Adults are Reddit Users. Washington, DC: Pew Research Center; 2014. [2015-07-02]. .
    1. McLeroy KR, Bibeau D, Steckler A, Glanz K. An ecological perspective on health promotion programs. Health Educ Q. 1988;15(4):351–77.
    1. Rainham D, McDowell I, Krewski D, Sawada M. Conceptualizing the healthscape: contributions of time geography, location technologies and spatial ecology to place and health research. Soc Sci Med. 2010 Mar;70(5):668–76. doi: 10.1016/j.socscimed.2009.10.035.
    1. Barkow S, Bleuler S, Prelic A, Zimmermann P, Zitzler E. BicAT: a biclustering analysis toolbox. Bioinformatics. 2006 May 15;22(10):1282–3. doi: 10.1093/bioinformatics/btl099.
    1. Merico D, Isserlin R, Stueker O, Emili A, Bader GD. Enrichment map: a network-based method for gene-set enrichment visualization and interpretation. PLoS One. 2010;5(11):e13984. doi: 10.1371/journal.pone.0013984.
    1. Wilkinson L, Friendly M. The History of the Cluster Heat Map. The American Statistician. 2009 May;63(2):179–184. doi: 10.1198/tas.2009.0033.
    1. Blei D, Ng A, Jordan M. Latent Dirichlet Allocation. J Mach Learn Res. 2003;3:993–1022.
    1. McCallum AK. Machine Learning for Language Toolkit. 2002. [2015-04-05].
    1. Yang T-I, Torget AJ, Mihalcea R. Topic Modeling on Historical Newspapers. 5th ACL-HLT Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities; June 24, 2011; Portland, Oregon. USA: Association for Computational Linguistics; 2011. pp. 96–104.
    1. Eysenbach G, Till JE. Ethical issues in qualitative research on internet communities. BMJ. 2001 Nov 10;323(7321):1103–5.
    1. McKee R. Ethical issues in using social media for health and health care research. Health Policy. 2013 May;110(2-3):298–301. doi: 10.1016/j.healthpol.2013.02.006.
    1. Burri M, Baujard V, Etter J. A qualitative analysis of an internet discussion forum for recent ex-smokers. Nicotine Tob Res. 2006 Dec;8 Suppl 1:S13–9.
    1. Cobb NK, Graham AL, Abrams DB. Social network structure of a large online community for smoking cessation. Am J Public Health. 2010 Jul;100(7):1282–9. doi: 10.2105/AJPH.2009.165449.

Source: PubMed

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