Twitter: big data opportunities.
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In their Policy Forum “The parable of Google Flu: Traps in big data analysis” (14 March, p. [1203][1]), D. Lazer et al. remark upon recent failures of Google Flu Trends (GFT) and cast these as limitations of big data analysis in general. However, many of these limitations have been overcome by
[1] Declan Butler,et al. When Google got flu wrong , 2013, Nature.
[2] Guanhua Yan,et al. On the impact of social botnets for spam distribution and digital-influence manipulation , 2013, 2013 IEEE Conference on Communications and Network Security (CNS).
[3] Marcel Salathé,et al. An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages , 2014, J. Biomed. Informatics.