Loading…

Disagreement and the Avoidance of Political Discussion: Aggregate Relationships and Differences across Personality Traits

Social networks play a prominent role in the explanation of many political phenomena. Using data from a nationally representative survey of registered voters conducted around the 2008 U.S. presidential election, we document three findings. First, we show that during this period, people discussed pol...

Full description

Saved in:
Bibliographic Details
Published in:American journal of political science 2012-10, Vol.56 (4), p.849-874
Main Authors: Gerber, Alan S., Huber, Gregory A., Doherty, David, Dowling, Conor M.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Social networks play a prominent role in the explanation of many political phenomena. Using data from a nationally representative survey of registered voters conducted around the 2008 U.S. presidential election, we document three findings. First, we show that during this period, people discussed politics as frequently as (or more frequently than) other topics such as family, work, sports, and entertainment with frequent discussion partners. Second, the frequency with which a topic is discussed is strongly and positively associated with reported agreement on that topic among these same discussion partners. Supplementary experimental evidence suggests this correlation arises because people avoid discussing politics when they anticipate disagreement. Third, we show that Big Five personality traits affect how frequently people discuss a variety of topics, including politics. Some of these traits also alter the relationship between agreement and frequency of discussion in theoretically expected ways. This suggests that certain personality types are more likely to be exposed to divergent political information, and that not everyone is equally likely to experience cross-cutting discourse, even in heterogeneous networks.
ISSN:0092-5853
1540-5907
DOI:10.1111/j.1540-5907.2011.00571.x