Toward automated e-cigarette surveillance: Spotting e-cigarette proponents on Twitter

Journal of Biomedical Informatics

Volumn 61, Issue , 2016, Pages 19-26

  Kavuluru, Ramakanth ^a,b   Sabbir, A K M ^b  

^a UNIVERSITY OF KENTUCKY   (United States)

^b UNIVERSITY OF KENTUCKY   (United States)

Author keywords

Electronic cigarettes; Text classification; Text mining

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DATA MINING; LEARNING SYSTEMS; MANUFACTURE; SOCIAL NETWORKING (ONLINE); TEXT PROCESSING;

COMBUSTION PRODUCTS; CONFIDENCE INTERVAL; ELECTRONIC CIGARETTES; FEDERAL DRUG ADMINISTRATION; ORDERS OF MAGNITUDE; PREDICTIVE MODELING; TEXT CLASSIFICATION; TEXT MINING;

TOBACCO;

ACCURACY; ARTICLE; COMPUTER PROGRAM; ELECTRONIC CIGARETTE; HEALTH CARE POLICY; INFORMATION PROCESSING; INFORMATION RETRIEVAL; ONLINE SYSTEM; PREDICTIVE VALUE; PRIORITY JOURNAL; SCORING SYSTEM; SMOKING CESSATION; SOCIAL MEDIA; COMMERCIAL PHENOMENA; FOOD AND DRUG ADMINISTRATION; HUMAN; NOMENCLATURE; SMOKING; SOCIAL CONTROL; STATISTICS AND NUMERICAL DATA; UNITED STATES;

COMMERCE; DATA CURATION; ELECTRONIC NICOTINE DELIVERY SYSTEMS; HUMANS; SMOKING; SMOKING CESSATION; SOCIAL CONTROL, FORMAL; SOCIAL MEDIA; TERMINOLOGY AS TOPIC; UNITED STATES; UNITED STATES FOOD AND DRUG ADMINISTRATION;

EID: 84961951112     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2016.03.006     Document Type: Article

References (40)

1. Regan A.K., Promoff G., Dube S.R., Arrazola R. Electronic nicotine delivery systems: adult use and awareness of the e-cigarette in the USA. Tobacco Control 2013, 22(1):19-23.
2. Etter J.-F., Bullen C., Flouris A.D., Laugesen M., Eissenberg T. Electronic nicotine delivery systems: a research agenda. Tobacco Control 2011, 20(3):243-248.
3. Bullen C., McRobbie H., Thornley S., Glover M., Lin R., Laugesen M. Effect of an electronic nicotine delivery device (e cigarette) on desire to smoke and withdrawal, user preferences and nicotine delivery: randomised cross-over trial. Tobacco Control 2010, 19(2):98-103.
4. Grana R.A., Ling P.M. Smoking revolution: a content analysis of electronic cigarette retail websites. Am. J. Prev. Med. 2014, 46(4):395-403.
5. Brown J., Beard E., Kotz D., Michie S., West R. Real-world effectiveness of e-cigarettes when used to aid smoking cessation: a cross-sectional population study. Addiction 2014, 109(9):1531-1540.
6. Bullen C., Howe C., Laugesen M., McRobbie H., Parag V., Williman J., Walker N. Electronic cigarettes for smoking cessation: a randomised controlled trial. The Lancet 2013, 382(9905):1629-1637.
7. Grana R., Popova L., Ling P. A longitudinal analysis of electronic cigarette use and smoking cessation. JAMA Internal Med. 2014, 174(5):812-813.
8. Vickerman K.A., Carpenter K.M., Altman T., Nash C.M., Zbikowski S.M. Use of electronic cigarettes among state tobacco cessation quitline callers. Nicotine Tobacco Res. 2013, 15(10):1787-1791.
9. King A.C., Smith L.J., McNamara P.J., Matthews A.K., Fridberg D.J. Passive exposure to electronic cigarette (e-cigarette) use increases desire for combustible and e-cigarettes in young adult smokers. Tobacco Control 2014.
10. Farsalinos K.E., Polosa R. Safety evaluation and risk assessment of electronic cigarettes as tobacco cigarette substitutes: a systematic review. Ther. Adv. Drug Saf. 2014, 5(2):67-86.
11. Slomski A. Report shows e-cigarette marketing aimed at youth. JAMA 2014, 311(22):2264.
12. McCarthy M. Youth exposure to e-cigarette advertising on US television soars. BMJ: Brit. Med. J. 2014, 348.
13. Tremblay M.-C., Pluye P., Gore G., Granikov V., Filion K.B., Eisenberg M.J. Regulation profiles of e-cigarettes in the united states: a critical review with qualitative synthesis. BMC Med. 2015, 13(1):130.
14. Centers for Disease Control and Prevention, Notes from the Field: Electronic Cigarette Use Among Middle and High School Students - United States, 2011-2012, Morbidity and Mortality Weekly Report Sept.
15. Centers for Disease Control, E-cigarette Use Triples Among Middle and High School Students in Just One Year http://www.cdc.gov/media/releases/2015/p0416-e-cigarette-use.html.
16. Tan A.S., Bigman C.A. E-cigarette awareness and perceived harmfulness: prevalence and associations with smoking-cessation outcomes. Am. J. Prev. Med. 2014.
17. Pew Research Internet Project, Part 1: Teens and Social Media Use http://www.pewinternet.org/2013/05/21/part-1-teens-and-social-media-use/.
18. Alexa, Inc, Alexa top 500 Global Sites, 2014, http://www.alexa.com/topsites.
19. Twitter, Inc, Registration with United States Securities and Exchanges Commission, 2013 http://www.sec.gov/Archives/edgar/data/1418091/000119312513390321/d564001ds1.htm.
20. Y. Liu, C. Kliman-Silver, A. Mislove, The tweets they are a-changin': evolution of twitter users and behavior, in: Proceedings of the Eighth AAAI International Conference on Weblogs and Social Media (ICWSM), 2014.
21. D. Nguyen, R. Gravel, D. Trieschnigg, T. Meder, "how old do you think i am?" a study of language and age in twitter, in: Proceedings of the Seventh International AAAI Conference on Weblogs and Social Media (ICWSM), 2013, pp. 439-448.
22. W. Liu, D. Ruths, What's in a name? using first names as features for gender inference in twitter., in: Proceedings of the AAAI Spring Symposium: Analyzing Microtext, 2013, pp. 10-16.
23. A. Culotta, N.R. Kumar, J. Cutler, Predicting the demographics of twitter users from website traffic data, in: Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015, pp. 72-78.
24. Velardi P., Stilo G., Tozzi A.E., Gesualdo F. Twitter mining for fine-grained syndromic surveillance. Artif. Intell. Med. 2014, 61(3):153-163.
25. M.J. Paul, M. Dredze, You are what you tweet: analyzing twitter for public health., in: Proceedings of the Fifth AAAI International Conference on Weblogs and Social Media (ICWSM), 2011, pp. 265-272.
26. Dredze M. How social media will change public health. Intell. Syst. IEEE 2012, 27(4):81-84.
27. Aramaki E., Maskawa S., Morita M. Twitter catches the flu: detecting influenza epidemics using twitter. EMNLP '11 2011, 1568-1576. Association for Computational Linguistics.
28. Park H., Rodgers S., Stemmle J. Analyzing health organizations' use of twitter for promoting health literacy. J. Health Commun. 2013, 18(4):410-425.
29. R. Teodoro, M. Naaman, Fitter with twitter: understanding personal health and fitness activity in social media, in: Proceedings of the Seventh AAAI International Conference on Weblogs and Social Media (ICWSM), 2013, pp. 611-620.
30. Freifeld C.C., Brownstein J.S., Menone C.M., Bao W., Filice R., Kass-Hout T., Dasgupta N. Digital drug safety surveillance: monitoring pharmaceutical products in twitter. Drug Saf. 2014, 37(5):343-350.
31. Hefler M., Freeman B., Chapman S. Tobacco control advocacy in the age of social media: using facebook, twitter and change. Tobacco Control 2013, 22(3):210-214.
32. Myslín M., Zhu S.-H., Chapman W., Conway M. Using twitter to examine smoking behavior and perceptions of emerging tobacco products. J. Med. Internet Res 2013, 15(8).
33. Huang J., Kornfield R., Szczypka G., Emery S.L. A cross-sectional examination of marketing of electronic cigarettes on twitter. Tobacco Control 2014, 23(suppl 3):iii26-iii30.
34. Landis J., Koch G. The measurement of observer agreement for categorical data. Biometrics 1977, 33(1):159-174.
35. Pedregosa F., Varoquaux G., Gramfort A., Michel V., Thirion B., Grisel O., Blondel M., Prettenhofer P., Weiss R., Dubourg V., Vanderplas J., Passos A., Cournapeau D., Brucher M., Perrot M., Duchesnay E. Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 2011, 12:2825-2830.
36. S. Baccianella, A. Esuli, F. Sebastiani, SentiWordNet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining., in: LREC, vol. 10, 2010, pp. 2200-2204.
37. Blei D.M., Ng A.Y., Jordan M.I. Latent dirichlet allocation. J. Mach. Learn. Res. 2003, 3:993-1022.
38. A.K. McCallum, MALLET: a machine learning for language toolkit, 2002. http://mallet.cs.umass.edu.
39. Manning C.D., Raghavan P., Schütze H. Introduction to Information Retrieval 2008, Cambridge University Press.
40. Kloumann I.M., Danforth C.M., Harris K.D., Bliss C.A., Dodds P.S. Positivity of the english language. PloS one 2012, 7(1):e29484.