1,510
Views
15
CrossRef citations to date
0
Altmetric
Original Article

Algorithms and Health Misinformation: A Case Study of Vaccine Books on Amazon

&

References

  • Adomavicius, G., Bockstedt, J. C., Curley, S. P., & Zhang, J. (2017). Effects of online recommendations on consumers’ willingness to pay. Information Systems Research, 29(1), 84–102. doi:10.1287/isre.2017.0703
  • Basch, C. H., Zybert, P., Reeves, R., & Basch, C. E. (2017). What do popular YouTubeTM videos say about vaccines? Child: Care. Health and Development, 43(4), 499–503. doi:10.1111/cch.12442
  • Cappella, J. N., Yang, S., & Lee, S. (2015). Constructing recommendation systems for effective health messages using content, collaborative, and hybrid algorithms. The ANNALS of the American Academy of Political and Social Science, 659(1), 290–306. doi:10.1177/0002716215570573
  • CDC. (2019). Measles cases and outbreaks. Retrieved from https://www.cdc.gov/measles/cases-outbreaks.html
  • Cohen, J. N. (2018). Exploring echo-systems: How algorithms shape immersive media environments. Journal of Media Literacy Education, 10(2), 139–151. doi:10.23860/JMLE-2018-10-2-8
  • Covolo, L., Ceretti, E., Passeri, C., Boletti, M., & Gelatti, U. (2017). What arguments on vaccinations run through YouTube videos in Italy? A content analysis. Human Vaccines & Immunotherapeutics, 13(7), 1693–1699. doi:10.1080/21645515.2017.1306159
  • Diakopoulos, N. (2019). Automating the news: How algorithms are rewriting the media.  Cambridge, MA: Harvard University Press.
  • Epstein, R., & Robertson, R. E. (2015). The search engine manipulation effect (SEME) and its possible impact on the outcomes of elections. Proceedings of the National Academy of Sciences, 112(33). doi:10.1073/pnas.1419828112
  • Gillespie, T. (2018). Platforms are not intermediaries. Georgetown Law Technology Review, 2(2), 198–216.
  • Guidry, J. P., Carlyle, K., Messner, M., & Jin, Y. (2015). On pins and needles: How vaccines are portrayed on pinterest. Vaccine, 33(39), 5051–5056. doi:10.1016/j.vaccine.2015.08.064
  • Handcock, M. S., Hunter, D. R., Butts, C. T., Goodreau, S. M., & Morris, M. (2008). statnet: Software tools for the representation, visualization, analysis and simulation of network data. Journal of Statistical Software, 24(1), 1548. doi:10.18637/jss.v024.i01
  • Health Information National Trends Survey. (2018). HINTS 5, cycle 2. Retrieved from https://hints.cancer.gov/data/download-data.aspx
  • Herr, M. (2017). Writing and publishing your book: A guide for experts in every field. Santa Barbara, CA: ABC-CLIO.
  • Iammarino, N. K., & O’Rourke, T. W. (2018). The challenge of alternative facts and the rise of misinformation in the digital age: Responsibilities and opportunities for health promotion and education. American Journal of Health Education, 49(4), 201–205. doi:10.1080/19325037.2018.1465864
  • Kata, A. (2012). Anti-vaccine activists, Web 2.0, and the postmodern paradigm–An overview of tactics and tropes used online by the anti-vaccination movement. Vaccine, 30(25), 3778–3789. doi:10.1016/j.vaccine.2011.11.112
  • Kearns, M., & Roth, A. (2019). The Ethical Algorithm: The Science of Socially Aware Algorithm Design. Oxford University Press.
  • Logg, J. M., Minson, J. A., & Moore, D. A. (2019). Algorithm appreciation: People prefer algorithmic to human judgment. Organizational Behavior and Human Decision Processes, 151, 90–103. doi:10.1016/j.obhdp.2018.12.005
  • Manganello, J., Gerstner, G., Pergolino, K., Graham, Y., Falisi, A., & Strogatz, D. (2017). The relationship of health literacy with use of digital technology for health information: Implications for public health practice. Journal of Public Health Management and Practice, 23(4), 380–387. doi:10.1097/PHH.0000000000000366
  • Mano, R. S. (2014). Social media and online health services: A health empowerment perspective to online health information. Computers in Human Behavior, 39, 404–412. doi:10.1016/j.chb.2014.07.032
  • Margolis, M. A., Brewer, N. T., Shah, P. D., Calo, W. A., & Gilkey, M. B. (2019). Stories about HPV vaccine in social media, traditional media, and conversations. Preventive Medicine, 118, 251–256. doi:10.1016/j.ypmed.2018.11.005
  • Mavragani, A., & Ochoa, G. (2018). The internet and the anti-vaccine movement: Tracking the 2017 EU measles outbreak. Big Data and Cognitive Computing, 2(1), 2. doi:10.3390/bdcc2010002
  • Mitra, T., Counts, S., & Pennebaker, J. (2016). Understanding anti-vaccine attitudes in social media. Proceedings of the Tenth International AAAI Conference on web and social media (ICWSM, 2016), Palo Alto, pp. 269–278.
  • Mittelstadt, B. (2016). Automation, algorithms, and politics| Auditing for transparency in content personalization systems. International Journal of Communication, 10, 1–12.
  • Napoli, P. M. (2019). Social media and the public interest: Media regulation in the disinformation age. New York, NY: Columbia University Press.
  • Norman, C. D., & Skinner, H. A. (2006). eHealth literacy: Essential skills for consumer health in a networked world. Journal of Medical Internet Research, 8(2). doi:10.2196/jmir.8.2.e9
  • Pan, B., Hembrooke, H., Joachims, T., Lorigo, L., Gay, G., & Granka, L. (2007). In Google we trust: User’s decisions on rank, position, and relevance. Journal of Computer Mediated Communication, 12(3), 801–823. doi:10.1111/j.1083-6101.2007.00351.x
  • Pariser, E. (2011). The filter bubble: How the new personalized web is changing what we read and how we think. New York, NY: Penguin.
  • Perrin, A. (2016). Book reading 2016. Retrieved from https://www.pewinternet.org/2016/09/01/book-reading-2016/
  • Robins, G. (2011). Exponential random graph models for social networks. In J. Scott and P. Carrington (Eds.), Handbook of social network analysis (pp.484–500). London: Sage.
  • Salmon, D. A., Dudley, M. Z., Glanz, J. M., & Omer, S. B. (2015). Vaccine hesitancy: Causes, consequences, and a call to action. Vaccine, 33, D66–D71. doi:10.1016/j.vaccine.2015.09.035
  • Sandvig, C., Hamilton, K., Karahalios, K., & Langbort, C. (2014). Auditing algorithms: Research methods for detecting discrimination on internet platforms. Data and Discrimination: Converting Critical Concerns into Productive Inquiry, 22, 1–23.
  • Shi, F., Shi, Y., Dokshin, F. A., Evans, J. A., & Macy, M. W. (2017). Millions of online book co-purchases reveal partisan differences in the consumption of science. Nature Human Behaviour, 1(4), 1–9. doi:10.1038/s41562-017-0079
  • Smith, B., & Linden, G. (2017). Two decades of recommender systems at amazon. Com. Ieee Internet Computing, 21(3), 12–18. doi:10.1109/MIC.2017.72
  • Sunstein, C. R. (2018). # Republic: Divided democracy in the age of social media. Princeton, NJ: Princeton University Press.
  • Thorson, K., & Wells, C. (2015). Curated flows: A framework for mapping media exposure in the digital age. Communication Theory, 26(3), 309–328. doi:10.1111/comt.12087
  • Tufekci, Z. (2018). YouTube, the great radicalizer. The New York Times. Retrieved from https://coinse.io/assets/files/teaching/2019/cs489/Tufekci.pdf
  • Unkel, J., & Haas, A. (2017). The effects of credibility cues on the selection of search engine results. Journal of the Association for Information Science and Technology, 68(8), 1850–1862. doi:10.1002/asi.23820
  • van der Linden, S. L., Clarke, C. E., & Maibach, E. W. (2015). Highlighting consensus among medical scientists increases public support for vaccines: Evidence from a randomized experiment. BMC public health, 15(1), 1207.
  • Westerwick, A. (2013). Effects of sponsorship, web site design, and Google ranking on the credibility of online information. Journal of Computer-Mediated Communication, 18(2), 194–211. doi:10.1111/jcc4.12006
  • World Health Organization. (2019). Ten threats to global health in 2019. Retrieved from https://www.who.int/emergencies/ten-threats-to-global-health-in-2019

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.