Weaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate

American Journal of Public Health

Volumn 108, Issue 10, 2018, Pages 1378-1384

  Broniatowski, David A ^b   Jamison, Amelia M ^a   Qi, SiHua ^b   AlKulaib, Lulwah ^b   Chen, Tao ^c   Benton, Adrian ^c   Quinn, Sandra C ^a   Dredze, Mark ^c  

^a UNIVERSITY OF MARYLAND   (United States)

^b The George Washington University   (United States)

^c Johns Hopkins University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN; MEDICAL INFORMATION; PSYCHOLOGY; PUBLIC HEALTH; RUSSIAN FEDERATION; SOCIAL MEDIA; VACCINATION;

HEALTH COMMUNICATION; HUMANS; PUBLIC HEALTH; RUSSIA; SOCIAL MEDIA; VACCINATION;

EID: 85053845842     PISSN: 00900036     EISSN: 15410048     Source Type: Journal    
DOI: 10.2105/AJPH.2018.304567     Document Type: Article

References (35)

1. Kata A. Anti-vaccine activists, Web 2.0, and the postmodern paradigm'an overview of tactics and tropes used online by the anti-vaccination movement. Vaccine. 2012;30(25):3778-3789.
2. Breland JY, Quintiliani LM, Schneider KL, May CN, Pagoto S. Social media as a tool to increase the impact of public health research. Am J Public Health. 2017;107(12): 1890-1891.
3. Luxton DD, June JD, Fairall JM. Social media and suicide: a public health perspective. Am J Public Health. 2012;102(suppl 2):S195-S200.
4. Witteman HO, Zikmund-Fisher BJ. The defining characteristics of Web 2.0 and their potential influence in the online vaccination debate. Vaccine. 2012;30(25): 3734-3740.
5. Quinn SC. Probing beyond individual factors to understand influenza and pneumococcal vaccine uptake. Am J Public Health. 2018;108(4):427-429.
6. Betsch C, Brewer NT, Brocard P, et al. Opportunities and challenges of Web 2.0 for vaccination decisions. Vaccine. 2012;30(25):3727-3733.
7. Tomeny TS, Vargo CJ, El-Toukhy S. Geographic and demographic correlates of autism-related anti-vaccine beliefs on Twitter, 2009-15. Soc Sci Med. 2017;191: 168-175.
8. Smith MJ, Marshall GS. Navigating parental vaccine hesitancy. Pediatr Ann. 2010;39(8):476-482.
9. Dubé E, Vivion M, MacDonald NE. Vaccine hesitancy, vaccine refusal and the anti-vaccine movement: influence, impact and implications. Expert Rev Vaccines. 2015;14(1):99-117.
10. Jolley D, Douglas KM. The effects of anti-vaccine conspiracy theories on vaccination intentions. PLoS One. 2014;9(2):e89177.
11. Jones AM, Omer SB, Bednarczyk RA, Halsey NA, Moulton LH, Salmon DA. Parents' source of vaccine information and impact on vaccine attitudes, beliefs, and nonmedical exemptions. Adv Prev Med. 2012;2012: 932741.
12. Kata A. A postmodern Pandora's box: anti-vaccinationmisinformationontheinternet.Vaccine.2010; 28(7):1709-1716.
13. Dixon G, Clarke C. The effect of falsely balanced reporting of the autism-vaccine controversy on vaccine safety perceptions and behavioral intentions. Health Educ Res. 2013;28(2):352-359.
14. Centers for Disease Control and Prevention. Mortality. 2017. Available at: https://www.cdc.gov/nchs/health_policy/mortality.htm. Accessed April 27, 2018.
15. Chu Z, Gianvecchio S, Wang H, Jajodia S. Detecting automation of Twitter accounts: are you a human, bot, or cyborg? IEEE Trans Depend Secure Comput. 2012;9(6): 811-824.
16. Collins English Dictionary. Troll definition and meaning. Available at: https://www.collinsdictionary.com/dictionary/english/troll. Accessed April 27, 2018.
17. Ferrara E, Varol O, Davis C, Menczer F, Flammini A. The rise of social bots. Commun ACM. 2016;59(7): 96-104.
18. Subrahmanian VS, Azaria A, Durst S, et al. The DARPA Twitter bot challenge. Computer. 2016;49(6):38-46.
19. Ward JK, Peretti-Watel P, Verger P. Vaccine criticism on the Internet: propositions for future research. Hum Vaccin Immunother. 2016;12(7):1924-1929.
20. Popken B. Twitter deleted Russian troll tweets. So we published more than 200,000 of them. Available at: https://www.nbcnews.com/tech/social-media/now-available-more-200-000-deleted-russian-troll-tweets-n844731. Accessed March 11, 2018.
21. Lee K, Eoff BD, Caverlee J. Seven months with the devils: a long-term study of content polluters on Twitter. Available at: https://www.aaai.org/ocs/index.php/ICWSM/ICWSM11/paper/view/2780. Accessed March 11, 2018.
22. Cresci S, Di Pietro R, Petrocchi M, Spognardi A, Tesconi M. Fame for sale: efficient detection of fake Twitter followers. Decis Support Syst. 2015;80:56-71.
23. Cresci S, Pietro RD, Petrocchi M, Spognardi A, Tesconi M. Social fingerprinting: detection of spambot groups through DNA-inspired behavioral modeling. IEEE Trans Dependable and Secure Comput. 2018;15(4): 561-576.
24. Cresci S, Di Pietro R, Petrocchi M, Spognardi A. The paradigm-shift of social spambots: evidence, theories, and tools for the arms race. In: Barrett R; International World Wide Web Conferences Steering Committee, eds. Proceedings of the 26th International Conference on World Wide Web Companion.Republic and Canton of Geneva: ACM Press; 2017:963-972.
25. Varol O, Ferrara E, Davis CA, Menczer F, Flammini A. Online human-bot interactions: detection, estimation, and characterization. Available at: https://aaai.org/ocs/index.php/ICWSM/ICWSM17/paper/view/15587. Accessed March 11, 2018.
26. Frommer D. Twitter's list of 2,752 Russian trolls. 2017. Available at: https://www.recode.net/2017/11/2/16598312/russia-twitter-trump-twitter-deactivated-handle-list. Accessed March 11, 2018.
27. Dredze M, Broniatowski DA, Smith MC, Hilyard KM. Understanding vaccine refusal: why we need social media now. Am J Prev Med. 2016;50(4):550-552.
28. Davis CA, Varol O, Ferrara E, Flammini A, Menczer F. BotOrNot: A System to evaluate social bots. Available at: http://dl.acm.org/citation.cfm?doid=2872518.2889302. Accessed July 25, 2018.
29. Wojcik S, Messing S, Smith A, Rainie L, Hitlin P. Bots in the Twittersphere. 2018. Available at: http://www.pewinternet.org/2018/04/09/bots-in-the-twittersphere. Accessed April 26, 2018.
30. Sandelowski M, Barroso J. Classifying the findings in qualitative studies. Qual Health Res. 2003;13(7):905-923.
31. Fereday J, Muir-Cochrane E. Demonstrating rigor using thematic analysis: a hybrid approach of inductive and deductive coding and theme development. Int J Qual Methods. 2006;5(1):80-92.
32. Broniatowski DA, Hilyard KM, Dredze M. Effective vaccine communication during the Disneyland measles outbreak. Vaccine. 2016;34(28):3225-3228.
33. Flynn K. Twitter influencers suspect a bot “purge.” Available at: https://mashable.com/2018/01/29/twitter-bots-purge-influencers-accounts. Accessed April 27, 2018.
34. Madrak S. Wingers melt down as twitter finally purges Russian bots. Available at: https://crooksandliars.com/2018/02/wingers-have-sad-twitter-purges-russian-0. Accessed April 27, 2018.
35. Funk C, Kennedy B, Hefferon M. Vast majority of Americans say benefits of childhood vaccines outweigh risks. 2017. Available at: http://www.pewinternet.org/2017/02/02/vast-majority-of-americans-say-benefits-of-childhood-vaccines-outweigh-risks. Accessed February 14, 2017.