Catching Zika Fever: Application of Crowdsourcing and Machine Learning for Tracking Health Misinformation on Twitter
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[1] Carlos Castillo-Chavez,et al. Mass Media and the Contagion of Fear: The Case of Ebola in America , 2015, PloS one.
[2] David A. Broniatowski,et al. Zika vaccine misconceptions: A social media analysis. , 2016, Vaccine.
[3] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[4] Hamed Haddadi,et al. #FoodPorn: Obesity Patterns in Culinary Interactions , 2015, Digital Health.
[5] Wei Gao,et al. Detect Rumors Using Time Series of Social Context Information on Microblogging Websites , 2015, CIKM.
[6] Harry Zhang,et al. Naive Bayesian Classifiers for Ranking , 2004, ECML.
[7] Sanmay Das,et al. Drugs or Dancing? Using Real-Time Machine Learning to Classify Streamed “Dabbing” Homograph Tweets , 2016, 2016 IEEE International Conference on Healthcare Informatics (ICHI).
[8] Christophe G. Giraud-Carrier,et al. Prevalence and Attitudes about Illicit and Prescription Drugs on Twitter , 2016, 2016 IEEE International Conference on Healthcare Informatics (ICHI).
[9] Matthieu Cord,et al. Machine Learning Techniques for Multimedia: Case Studies on Organization and Retrieval , 2009, J. Electronic Imaging.
[10] Barbara Poblete,et al. Information credibility on twitter , 2011, WWW.
[11] Qiaozhu Mei,et al. Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts , 2015, WWW.
[12] Lijun Feng,et al. A Comparison of Features for Automatic Readability Assessment , 2010, COLING.
[13] Jure Leskovec,et al. Meme-tracking and the dynamics of the news cycle , 2009, KDD.
[14] Chang-Tien Lu,et al. Misinformation Propagation in the Age of Twitter , 2014, Computer.
[15] Todd Lingren,et al. Web 2.0-Based Crowdsourcing for High-Quality Gold Standard Development in Clinical Natural Language Processing , 2013, Journal of medical Internet research.
[16] J. Drew Procaccino,et al. Toward wellness: Women seeking health information , 2004, J. Assoc. Inf. Sci. Technol..
[17] Ben Jones,et al. Mixed uptake of social media among public health specialists. , 2011, Bulletin of the World Health Organization.
[18] Carlos Castillo,et al. AIDR: artificial intelligence for disaster response , 2014, WWW.
[19] Slava J. Mikhaylov,et al. Scaling policy preferences from coded political texts , 2011 .
[20] James M Heilman,et al. Wikipedia: A Key Tool for Global Public Health Promotion , 2011, Journal of medical Internet research.
[21] Kenny Q. Zhu,et al. False rumors detection on Sina Weibo by propagation structures , 2015, 2015 IEEE 31st International Conference on Data Engineering.
[22] Dragomir R. Radev,et al. Rumor has it: Identifying Misinformation in Microblogs , 2011, EMNLP.
[23] Clement J. McDonald,et al. An evaluation of medical knowledge contained in Wikipedia and its use in the LOINC database , 2010, J. Am. Medical Informatics Assoc..
[24] G. Eysenbach,et al. Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak , 2010, PloS one.
[25] Sanda M. Harabagiu,et al. Automatic extraction of relations between medical concepts in clinical texts , 2011, J. Am. Medical Informatics Assoc..
[26] Bei Yu,et al. Crowdsourcing Participatory Evaluation of Medical Pictograms Using Amazon Mechanical Turk , 2013, Journal of medical Internet research.
[27] Michaël,et al. Seeking health information online: does Wikipedia matter? , 2009, Journal of the American Medical Informatics Association : JAMIA.
[28] Elia Gabarron,et al. Ebola, Twitter, and misinformation: a dangerous combination? , 2014, BMJ : British Medical Journal.
[29] Patty Kostkova,et al. VAC Medi+board: Analysing Vaccine Rumours in News and Social Media , 2016, Digital Health.
[30] Heidi J Larson,et al. Tracking the global spread of vaccine sentiments: The global response to Japan's suspension of its HPV vaccine recommendation , 2014, Human vaccines & immunotherapeutics.
[31] Miriam C J M Sturkenboom,et al. The narcolepsy-pandemic influenza story: can the truth ever be unraveled? , 2015, Vaccine.
[32] Xiaomo Liu,et al. Newsworthy Rumor Events: A Case Study of Twitter , 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).
[33] Christopher C. Yang,et al. Harnessing Social Media for Drug-Drug Interactions Detection , 2013, 2013 IEEE International Conference on Healthcare Informatics.
[34] N. Calabretta. Consumer-driven, patient-centered health care in the age of electronic information. , 2002, Journal of the Medical Library Association : JMLA.
[35] Luis Fernández-Luque,et al. Health and Social Media: Perfect Storm of Information , 2015, Healthcare informatics research.
[36] Bernd Carsten Stahl,et al. Digital Wildfires: Propagation, Verification, Regulation, and Responsible Innovation , 2016, TOIS.
[37] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[38] Mounia Lalmas,et al. A survey on the use of relevance feedback for information access systems , 2003, The Knowledge Engineering Review.
[39] Jacob Ratkiewicz,et al. Truthy: mapping the spread of astroturf in microblog streams , 2010, WWW.
[40] Fan Yang,et al. Automatic detection of rumor on Sina Weibo , 2012, MDS '12.
[41] Wenliang Du,et al. Building decision tree classifier on private data , 2002 .