Social networks and citizen election forecasting: the more friends the better

Leiter, Debra, Murr, Andreas, Rascon Ramirez, Ericka and Stegmaier, Mary (2018) Social networks and citizen election forecasting: the more friends the better. International Journal of Forecasting, 34 (2). pp. 235-248. ISSN 0169-2070

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Abstract

Most citizens correctly forecast which party will win a given election, and such forecasts usually have a higher level of accuracy than voter intention polls. How do citizens do it? We argue that social networks are a big part of the answer: much of what we know as citizens comes from our interactions with others. Previous research has considered only indirect characteristics of social networks when analyzing why citizens are good forecasters. We use a unique German survey and consider direct measures of social networks in order to explore their role in election forecasting. We find that three network characteristics – size, political composition, and frequency of political discussion – are among the most important variables when predicting the accuracy of citizens’ election forecasts.

Item Type: Article
Research Areas: A. > Business School > Economics
Item ID: 24646
Notes on copyright: Copyright: © 2017 International Institute of Forecasters. Published by Elsevier B.V. This author's accepted manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
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Depositing User: Ericka Rascon Ramirez
Date Deposited: 16 Jul 2018 16:11
Last Modified: 15 Sep 2019 14:45
URI: https://eprints.mdx.ac.uk/id/eprint/24646

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