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Journal of Medical Internet Research

Citing this Article

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Published on 23.02.15 in Vol 17, No 2 (2015): February

This paper is in the following e-collection/theme issue:

Works citing "Twitter Sentiment Predicts Affordable Care Act Marketplace Enrollment"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3812):

(note that this is only a small subset of citations)

  1. Graves RL, Tufts C, Meisel ZF, Polsky D, Ungar L, Merchant RM. Opioid Discussion in the Twittersphere. Substance Use & Misuse 2018;:1
    CrossRef
  2. Chen F, Ji R, Su J, Cao D, Gao Y. Predicting Microblog Sentiments via Weakly Supervised Multimodal Deep Learning. IEEE Transactions on Multimedia 2018;20(4):997
    CrossRef
  3. Pai RR, Alathur S. Assessing mobile health applications with twitter analytics. International Journal of Medical Informatics 2018;113:72
    CrossRef
  4. Yeung D. Social Media as a Catalyst for Policy Action and Social Change for Health and Well-Being: Viewpoint. Journal of Medical Internet Research 2018;20(3):e94
    CrossRef
  5. Xu Z, Guo H. Using Text Mining to Compare Online Pro- and Anti-Vaccine Headlines: Word Usage, Sentiments, and Online Popularity. Communication Studies 2018;69(1):103
    CrossRef
  6. Sinnenberg L, Buttenheim AM, Padrez K, Mancheno C, Ungar L, Merchant RM. Twitter as a Tool for Health Research: A Systematic Review. American Journal of Public Health 2017;107(1):e1
    CrossRef
  7. Mostafa MM. Mining and mapping halal food consumers: A geo-located Twitter opinion polarity analysis. Journal of Food Products Marketing 2017;:1
    CrossRef
  8. Han L, Han L, Darney B, Rodriguez MI. Tweeting PP: an analysis of the 2015–2016 Planned Parenthood controversy on Twitter. Contraception 2017;96(6):388
    CrossRef
  9. Davis MA, Zheng K, Liu Y, Levy H. Public Response to Obamacare on Twitter. Journal of Medical Internet Research 2017;19(5):e167
    CrossRef
  10. Dai H, Lee BR, Hao J. Predicting Asthma Prevalence by Linking Social Media Data and Traditional Surveys. The ANNALS of the American Academy of Political and Social Science 2017;669(1):75
    CrossRef
  11. Gollust SE, Qin X, Wilcock AD, Baum LM, Barry CL, Niederdeppe J, Fowler EF, Karaca-Mandic P. Search and You Shall Find: Geographic Characteristics Associated With Google Searches During the Affordable Care Act’s First Enrollment Period. Medical Care Research and Review 2017;74(6):723
    CrossRef
  12. Hao J, Dai H. Payday Loan Marketing in Social Media Networks. Journal of Consumer Affairs 2017;
    CrossRef
  13. Mostafa MM, Nebot NR. Sentiment analysis of Arabic language influence on Spanish vocabulary: An El País newspaper and Twitter case study. Journal of Information Technology Case and Application Research 2017;19(3):145
    CrossRef
  14. Crannell WC, Clark E, Jones C, James TA, Moore J. A pattern-matched Twitter analysis of US cancer-patient sentiments. Journal of Surgical Research 2016;206(2):536
    CrossRef
  15. Hao J, Dai H. Social media content and sentiment analysis on consumer security breaches. Journal of Financial Crime 2016;23(4):855
    CrossRef
  16. Hawkins JB, Brownstein JS, Tuli G, Runels T, Broecker K, Nsoesie EO, McIver DJ, Rozenblum R, Wright A, Bourgeois FT, Greaves F. Measuring patient-perceived quality of care in US hospitals using Twitter. BMJ Quality & Safety 2016;25(6):404
    CrossRef
  17. Seltzer E, Jean N, Kramer-Golinkoff E, Asch D, Merchant R. The content of social media's shared images about Ebola: a retrospective study. Public Health 2015;129(9):1273
    CrossRef