Social network influence on consistent choice
Markum Reed
Journal of choice modelling, 2015, vol. 17, issue C, 28-38
Abstract:
Social networks tend to shape our view about the world. Our study conducts and empirical analysis of social network dynamics using Twitter data. We ask whether social networks influence voting decisions, and determine whether or not people make consistent choice based on their tweets. We collect Twitter data on a daily basis, with dynamic social network measurements before, during, and after the 2012 Presidential election. We use lexicographical analysis to check if ideological keywords are present in a user's tweets, and if the overall sentiment on this issue is positive or negative. We utilize this data to determine how people should have chosen an outcome, which may conflict with an individual's observed declaration of political ideology. We are able to determine what percentage of the population made a consistent choice based on their Tweets during the 2012 presidential election. Additionally, we examine the social network structure in Twitter and how it affects voting. We illustrate that an individual's political ideology is influenced by their network.
Keywords: Social network; Consistent choice; Twitter; Voting (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1755534515301172
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:eejocm:v:17:y:2015:i:c:p:28-38
DOI: 10.1016/j.jocm.2015.12.004
Access Statistics for this article
Journal of choice modelling is currently edited by S. Hess and J.M. Rose
More articles in Journal of choice modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().