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Title: Predicting short interval tracking polls with online social media
Authors: Li, HL
Ng, VTY 
Shiu, SCK 
Keywords: Online social media
Opinion tracking
Public polling
Issue Date: 2013
Publisher: IEEE
Source: 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 27-29 June 2013, Whistler, BC, p. 587-592 How to cite?
Abstract: The of behavioral patterns in online social media are often reflecting the happenings in our society. These patterns, which can be considered as opinions, are often correlated with public opinion polling. However, many correlation analyses done previously were for subsequent discoveries and not being able to handle short interval polling opinions. For opinions obtained from tracking polling with short opinion collection interval, like rolling polling, it cannot perform well in tracing the latest trends. This paper describes an extended correlation model for such kind of polling in examining the correlation between opinion in online social media and the public opinion from tracking poll. It has been tested with a recent rolling polling and it outperformed the previous correlation models.
ISBN: 978-1-4673-6084-5
DOI: 10.1109/CSCWD.2013.6581027
Appears in Collections:Conference Paper

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