Health news feed: Identifying personally relevant health-related URLs in tweets

Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

Volumn , Issue , 2012, Pages 491-496

  Steele, Robert ^a   Min, Kyongho ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

categorisation; health social media; micro blog filtering; mobile health; personalised filtering

Indexed keywords

CATEGORISATION; CONTENT FILTERING; KNOWLEDGE RESOURCE; MICRO-BLOG; MOBILE HEALTH; NATURAL LANGUAGE PROCESSING; NEWS ARTICLES; NEWS FEEDS; SOCIAL MEDIA;

INDUSTRIAL ELECTRONICS; NATURAL LANGUAGE PROCESSING SYSTEMS;

HEALTH;

EID: 84871694975     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2012.6360778     Document Type: Conference Paper

References (32)

1. J. J. Prochaska, C. Pechmann, R. Kim, and J. M. Leonhardt, "Twitter=quitter? an analysis of Twitter quit smoking social networks," Tobacco Control, 2011, doi:10.1136/tc.2010.042507.
2. V. Qazvinian, E. Rosengren, D. R. Radev, and Q. Mei, "Rumor has it: identifying misinformation in microblogs," Proc. Empirical Methods in Natural Language Processing (EMNLP 2011), ACL, Jul. 2011, pp. 1589-1599.
3. D. Scanfeld, V. Scanfeld, and E. Larson, 2010. "Dissemination of health information through social networks: Twitter and antibiotics," Am. J. Infect. Control, vol. 38, pp. 182-188, 2010.
4. R. Steele, "Social media, mobile devices and sensors: Categorizing new techniques for health communication," Proc. International Conference on Sensing Technology (ICST 2011), IEEE, Nov. 2011, pp. 187-192.
5. N. Collier et al., "An ontology-driven system for detecting global health events," Proc. International Conference on Computational Linguistics (COLING 2010), ACL, Aug. 2010, pp. 215-222.
6. J. M. Paul and M. Dredze, "You are what you Tweet: analyzing Twitter for public health," Proc. International AAAI Conference on Weblogs and Social Media (ICWSM 2011), AAAI, Jul. 2011, pp. 265-272.
7. M. Speriosu, N. Sudan, S. Upadhyay, and J. Balridge, "Twitter polarity classification with label propagation over lexical links and the follower graph," Proc. Empirical Methods in Natural Language Processing (EMNLP 2011), ACL, Jul. 2011, pp. 53-63.
8. R. Steele, K. Min. and A. Lo, Personal health record architectures: Technology infrastructure implications and dependencies. J. Am. Soc. Inf. Sci.. doi: 10.1002/asi.22635, 2012.
9. E. Aramaki, S. Maskawa, and M. Morita, "Twitter catches the flu: detecting influenza epidemics using Twitter," Proc. Empirical Methods in Natural Language Processing (EMNLP 2011), ACL, Jul. 2011, pp. 1568-1576.
10. N. Heaivilin, B. Gerert, J. E. Page, and J. L. Gibbs, "Public health surveillance of dental pain via Twitter," J. Dent. Res., in press, doi:10.1177/0022034511415273.
11. A. Signorini, A. M. Segre, and P. M. Polgreen, "The use of Twitter to track levels of disease activity and public concern in the U.S. during the influenza A H1N1 pandemic," PLoS ONE, vol. 6, p. e19467, 2011.
12. C. Chew and G. Eysenbach, "Pandemics in the age of twitter: content analysis of tweets during the 2009 H1N1 outbreak," PLoS ONE, vol. 5, p. e14118, 2010.
13. S. J. Sullivan et al., "'What's happening?' a content analysis of concussion-related traffic on Twitter," Br. J. Sports Med., 2011, doi:10.1136/bjsm.2010.080341.
14. H. Korda and Z. Itani, "Harnessing social media for health promotion and behavior change," Health Promot. Pract., 2011, doi:10.1177/ 1524839911405850.
15. P. I. Eke, "Using social media for research and public health surveillance," J. Dent. Res., vol. 90, pp. 1045-1046, 2011.
16. J. F. Pearson, C. A. Brownstein, and J. S. Brownstein, "Potential for electronic health records and online social networking to redefine medical research," Clin. Chem. Vol. 57, pp. 196-204, 2011.
17. J. H. Frost, "The case for using social media to aggregate patient experiences with off-label prescriptions," Expert Rev. Pharmacoecon. Outcomes Res., vol. 11, pp. 371-373, 2011.
18. M. N. Kamel Boulos, A. P. Sanfilippo, C. D. Corley, and S. Wheeler, "Social web mining and exploitation for serious applications: technosocial predictive analytics and related technologies for public health, environmental and national security surveillance," Comput. Methods Programs Biomed., vol. 100, pp. 16-23, 2010.
19. A. Hulth, R. Gustaf, and A. Linde, (2009). "Web queries as a source for syndromic surveillance." PLoS ONE, vol. 4, p. e4378, 2009.
20. J. Ginsberg, M. H. Mohebbi, R. S. Patel, L. Brammer, M. S. Smolinski, and L. Brilliant, "Detecting influenza epidemics using search engine query data," Nature, vol. 457, pp. 1012-1014, 2009.
21. J. Gold et al., "A systematic examination of the use of online social networking sites for sexual health promotion," BMC Public Health, vol. 11, p. 583, 2011.
22. A. Agarwal, B. Xie, I. Vovsha, O. Rambow, and R. Passonneau, "Sentiment analysis of Twitter data," Proc. Workshop on Language in Social Media (LMS 2011), ACL, Jun. 2011, pp. 30-38.
23. B. O'Connor, R. Balasubramanyan, B. R. Routledge, and N. A. Smith, "From Tweets to polls: linking text sentiment to public opinion time series," Proc. International AAAI Conference on Weblogs and Social Media (ICWSM 2010), AAAI, May 2010.
24. A. Ritter, S. Clark, M. Etzioni, and O. Etzioni, "Named entity recognition in Tweets: an experimental study," Proc. Empirical Methods in Natural Language Processing (EMNLP 2011), ACL, Jul. 2011, pp. 1524-1534.
25. J. Eisenstein, B. O'Connor, N. A. Smith, and E. P. Xing, "A latent variable model for geographic lexical variation." Proc. Empirical Natural Language Processing Conference (EMNLP 10), ACL, Oct. 2010, pp. 1277-1287.
26. D. Rao, D. Yarowsky, A. Shreevats, and M. Gupta, "Classifying latent user attributes in twitter," Proc. Workshop on Search and Mining User-generated Contents (SMUC 10), ACM, Oct. 2010, pp. 37-44.
27. C. C. Freifeld, K. D. Mandl, B. Y. Reis, and J. S. Brownstein, "HealthMap: global infectious disease monitoring through automated classification and visualization of internet media reports," J. Am. Med. Inform. Assoc., vol. 15, pp. 150-157, 2008.
28. N. Nanas, M. Vavalis, and E. Houstis, "Personalised news and scientific literature aggregation," IPM, vol. 46, pp. 268-283, 2009.
29. Q. Xiaoguang and D. D. Brian, "Web page classification: features and algorithms," ACM Comput. Surv., vol. 41, pp. 1-31, 2009.
30. J. Dai and R. Steele, "UDDI access control", Proc. International Conference on Information Technology and Applications (ICITA 2005), IEEE, Jul. 2005, pp. 778-783.
31. S. Schmidt, R. Steele, T. S. Dillon, and E. Chang. "Building a fuzzy trust network in unsupervised multi-agent environments", In OTM Workshops, pp. 816-825, 2005.
32. R. Steele and A. Lo, "Telehealth and Ubiquitous Computing for Bandwidth-constrained Rural and Remote Areas", Personal and Ubiquitous Computing, doi:10.1007/s00779-012-0506-5, 2012.