process inference

Publication date: 
05/2013
Authors: 
Yu-Ru Lin
Drew Margolin
Brian Keegan
David Lazer

Social media have been employed to assess public opinions on events, markets, and policies. Most current work focuses on either developing aggregated measures or opinion extraction methods like sentiment analysis. These approaches suffer from unpredictable turnover in the participants and the information they react to, making it difficult to distinguish meaningful shifts from those that follow from known information.

Keywords: 
real time system
social meter
public opinion
data-driven journalism
process inference
computational social science
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