Twitter: Big Data Opportunities—Response
David Lazer, Ryan Kennedy, Gary King, Alessandro Vespignani. 2014.
"Twitter: Big Data Opportunities—Response".
Science, 345, 6193, Pp. 148–149.
Abstract
WE THANK BRONIATOWSKI, Paul, and Dredze for giving us the opportunity to reemphasize the potential of big data and make the more obvious point that not all big data projects have the problems currently plaguing Google Flu Trends (GFT), nor are these problems inherent to the field in general.
See our original papers: “The Parable of Google Flu: Traps in Big Data Analysis,” and “Google Flu Trends Still Appears Sick: An Evaluation of the 2013‐2014 Flu Season”
See Also
- [Paper] Calculating Standard Errors of Predicted Values Based on Nonlinear Functional Forms (1991)
- [Software] CLARIFY: Software for Interpreting and Presenting Statistical Results (2003)
- [Paper] Google Flu Trends Still Appears Sick: An Evaluation of the 2013‐2014 Flu Season (2014)
- [Paper] How Robust Standard Errors Expose Methodological Problems They Do Not Fix, and What to Do About It (2015)
- [Paper] Making the Most of Statistical Analyses: Improving Interpretation and Presentation (2000)
- [Paper] The Parable of Google Flu: Traps in Big Data Analysis (2014)
- [Paper] Toward A Common Framework for Statistical Analysis and Development (2008)
- [Book] Unifying Political Methodology: The Likelihood Theory of Statistical Inference (1998)