Author's Keywords: Motivation Voting Information processing belief trajectories	Convention All Academic Convention is the premier solution for your association's abstract management solutions needs. Submission - Custom fields, multiple submission types, tracks, audio visual, multiple upload formats, automatic conversion to pdf. Review - Peer Review, Bulk reviewer assignment, bulk emails, ranking, z-score statistics, and multiple worksheets! Reports - Many standard and custom reports generated while you wait. Print programs with participant indexes, event grids, and more! Scheduling - Flexible and convenient grid scheduling within rooms and buildings. Conflict checking and advanced filtering. Communication - Bulk email tools to help your administrators send reminders and responses. Use form letters, a message center, and much more! Management - Search tools, duplicate people management, editing tools, submission transfers, many tools to manage a variety of conference management headaches! Click here for more information.
Association: Name: International Communication Association URL: http://www.icahdq.org
Citation: URL: http://www.allacademic.com/meta/p170140_index.html Direct Link: HTML Code:

Chung, Sungeun., Waks, Leah., Meffert, Michael. and Xie, Xiaoying. "Voters’ Motivation and Information Processing: A Model of Motivated Information Processing in a Political Campaign" Paper presented at the annual meeting of the International Communication Association, TBA, San Francisco, CA, May 23, 2007 <Not Available>. 2009-05-24 <http://www.allacademic.com/meta/p170140_index.html>

Chung, S. , Waks, L. , Meffert, M. F. and Xie, X. , 2007-05-23 "Voters’ Motivation and Information Processing: A Model of Motivated Information Processing in a Political Campaign" Paper presented at the annual meeting of the International Communication Association, TBA, San Francisco, CA Online <PDF>. 2009-05-24 from http://www.allacademic.com/meta/p170140_index.html

Publication Type: Conference Paper/Unpublished Manuscript Abstract: This study proposed a model of motivation and information processing in a political campaign and tested the model with a computer-based experiment (N = 344). Combining a directional motivation (motivation to a particular candidate which is predicted by strength of party identification) and a nondirectional motivation (motivation to think about election which is predicted by the level of interest in politics) four types of voters were identified. Four types of voters are expected to show different patterns of biased information processing. Voters with strong party identification and high interest in politics were expected to show the highest degree of biased information processing. When specific information about candidates’ issue-position was presented, higher degree of biased processing was also expected. The pattern of biased information processing was examined with candidate evaluation trajectories, which consisted of candidate evaluation at 11 time-points. It was found that participants with strong party identification and high interest in politics were less likely to change the initially preferred candidate, took longer time to change the initially preferred candidate, and changed candidate evaluation more slowly in response to a series of attitudinally incongruent information about candidates than other groups of participants.

Heuristic and Systematic Biased Processing of Political Messages: Effects of Candidate Preference and the Level of Interest in Politics on Attitudes toward Issues

Information Processing Biases: An Examination of Partisanship, Issue Preferences and Race in the Formation of Political Evaluations