Mayer was supported by a National Science Foundation Graduate Research Fellowship.
Expertise and Bias in Political Communication Networks
Version of Record online: 25 FEB 2013
© 2012, Midwest Political Science Association
American Journal of Political Science
Volume 57, Issue 2, pages 357–373, April 2013
How to Cite
Ahn, T. K., Huckfeldt, R., Mayer, A. K. and Ryan, J. B. (2013), Expertise and Bias in Political Communication Networks. American Journal of Political Science, 57: 357–373. doi: 10.1111/j.1540-5907.2012.00625.x
- Issue online: 5 APR 2013
- Version of Record online: 25 FEB 2013
• Instructions to Participants
• High-Cost Subjects in the Agent-Based Model
• Incentives for Cross-Boundary InformationAcquisition
• Patterns of Change across the Periods
Table A1: Agent-Based Simulations of Cross-Group Communication for All Subjects: Group Transition Rates with Implied Equilibria.
Table A3: Determining the Value of Private Information. Results from One Million Simulations by Candidate Positions and Private Information Signals.
Table A4: Replicating Table 2A with Data Split between Early and Late Periods. Prior Judgments Regarding Candidates' Positions by Information Purchased, Candidates' True Positions, and Their Interaction.
Table A5: Mean Number of In-Group and Out-Group Requests Subjects Received by Period.
Figure A1: Social Information Exchange over Time.
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