Political Disagreement: The Survival of Diverse Opinions Within Communication NetworksPolitical disagreement is widespread within the communication network of ordinary citizens; furthermore, political diversity within these networks is entirely consistent with a theory of democratic politics built on the importance of individual interdependence. The persistence of political diversity and disagreement does not imply that political interdependence is absent among citizens or that political influence is lacking. The book's analysis makes a number of contributions. The authors demonstrate the ubiquitous nature of political disagreement. They show that communication and influence within dyads is autoregressive - that the consequences of dyadic interactions depend on the distribution of opinions within larger networks of communication. They argue that the autoregressive nature of political influence serves to sustain disagreement within patterns of social interaction, as it restores the broader political relevance of social communication and influence. They eliminate the deterministic implications that have typically been connected to theories of democratic politics based on interdependent citizens. |
Contents
NEW INFORMATION OLD INFORMATION AND PERSISTENT | 25 |
DYADS NETWORKS AND AUTOREGRESSIVE INFLUENCE | 46 |
DISAGREEMENT HETEROGENEITY AND | 68 |
AGENTBASED EXPLANATIONS PATTERNS | 124 |
AGENTBASED EXPLANATIONS AUTOREGRESSIVE | 151 |
Other editions - View all
Political Disagreement: The Survival of Diverse Opinions Within ... Robert Huckfeldt,Paul E. Johnson,John Sprague No preview available - 2004 |
Common terms and phrases
2000 National Election accessibility acquaintance agent-based modeling agents aggregate ambivalence analysis arise due attitude autoregressive influence Axelrod behavior Bill Clinton Bob Dole Bush discussants Bush supporters candidate preference cells Coefficient t-value cognitive dissonance communication among citizens communication networks consequences consider context democratic democratic politics density networks discussant's discussants who support discussion partners disliking distribution dyad dyadic dynamic election campaign encounter enhanced entropy experience false consensus effect Gore discussants Gore supporters groups held constant Hence home grids Huckfeldt and Sprague ical impact important interdependence interviews judgments regarding levels main respondent main respondent's National Election Study network effects networks of political Number of Bush Number of Gore Objective-C particular Partisan extremity partisanship party identification patterns perceived percent persuasion polarization political communication political disagreement political discussion political diversity political heterogeneity political homogeneity political preferences produce random Republican residual network Robert Huckfeldt simulation social communication social interaction Swarm Simulation Table tion variables vote