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

被引:29
|
作者
Leiter, Debra [1 ]
Murr, Andreas [2 ]
Ramirez, Ericka Rascon [3 ]
Stegmaier, Mary [4 ]
机构
[1] Univ Missouri, Dept Polit Sci, Kansas City, MO 64110 USA
[2] Univ Warwick, Dept Polit & Int Studies, Quantitat Polit Sci, Coventry, W Midlands, England
[3] Middlesex Univ, London, England
[4] Univ Missouri, Truman Sch Publ Affairs, Columbia, MO 65211 USA
关键词
Social networks; Election forecasting; Citizen forecasting; Public opinion; Political interest; Expectations; Germany; POLITICAL TALK; JURY THEOREM; VOTERS; DISAGREEMENT; WISDOM; SIZE; PARTICIPATION; COMMUNICATION; EXPECTATIONS; INFORMATION;
D O I
10.1016/j.ijforecast.2017.11.006
中图分类号
F [经济];
学科分类号
02 ;
摘要
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. (C) 2017 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:235 / 248
页数:14
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