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Learning about Politics from The Daily Show: The Role of Processing Motivations
Unformatted Document Text:  Learning from The Daily Show 25 Perse, E. M. (1990). Media involvement and local news effects. Journal of Broadcasting & Electronic Media, 34(1), 17-36. Pew Research Center for the People and the Press. (2004, 11 January). Cable and Internet loom large in fragmented political news universe [Online report]. Retrieved from http://people- press.org/reports/display.php3?ReportID=200 Pew Research Center for the People and the Press. (2008, October 15). Who knows news? What you read or view matters, but not your politics [Online report]. Retrieved from http://pewresearch.org/pubs/993/who-knows-news-what-you-read-or-view-matters-but- not-your-politics Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40, 879-891. Preacher, K. J, Curran, P. J., & Bauer, D. J. (2006). Computational tools for probing interactions in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational and Behavioral Statistics, 31, 437-48. Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Assessing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42, 185-227. Prior, M. (2003). Any good news in soft news? The impact of soft news preference on political knowledge. Political Communication, 20, 149-171. Rubin, A. M. (1984). Ritualized and instrumental television viewing. Journal of Communication, 34(3), 67-77. Rubin, A. M. (2002). The uses-and-gratifications perspective of media effects. In J. Bryant & D.

Authors: Feldman, Lauren.
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Learning from The Daily Show
25
Perse, E. M. (1990). Media involvement and local news effects. Journal of Broadcasting & 
Electronic Media34(1), 17-36.
Pew Research Center for the People and the Press. (2004, 11 January). Cable and Internet loom 
large in fragmented political news universe [Online report]. Retrieved from 
Pew Research Center for the People and the Press. (2008, October 15). Who knows news? What 
you read or view matters, but not your politics [Online report]. Retrieved from 
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and 
comparing indirect effects in multiple mediator models. Behavior Research Methods40
879-891. 
Preacher, K. J, Curran, P. J., & Bauer, D. J. (2006). Computational tools for probing 
interactions in multiple linear regression, multilevel modeling, and latent curve 
analysis. Journal of Educational and Behavioral Statistics, 31, 437-48.
Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Assessing moderated mediation 
hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42
185-227.
Prior, M. (2003). Any good news in soft news? The impact of soft news preference on political 
knowledge. Political Communication20, 149-171.
Rubin, A. M. (1984). Ritualized and instrumental television viewing. Journal of Communication
34(3), 67-77.
Rubin, A. M. (2002). The uses-and-gratifications perspective of media effects. In J. Bryant & D. 


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