Comparing the
Differential Gains and
Communication
Mediation Models
as Predictors of
Political Participation
and Knowledge
Hong Vu, Joseph Yoo, Maegan Stephens, Brian
Barech, Rachel Reis Mourao & Tom Johnson
The University of Texas at Austin
Communication’s Next
Top Model:
Introduction
• Well-agreed:
Interpersonal communication works in tandem with
mass communication to influence political
participation and knowledge.
• But which model better explains the relationship
between media, discussion, and political effects?
Differential Gains?
Communication Mediation Model?
Literature
• Differential Gains Model (Scheufele and colleagues)
The political effects of news media messages are
contingent upon the media’s interaction with
interpersonal communication.
• Communication Mediation Model (Shah and colleagues)
Mass Communication has an influence on political
aspects but such relationship is indirect:
interpersonal communication mediates the effects
Additional Theoretical Inquiry
• Would wider range of media reliance variables
influence the predictive power of the two models?
Hypothesesand ResearchQuestions
Interaction effects on political outcomes:
H1- Exposure to news media;
H2- Interaction between news media and face-
to-face communication, and;
H3 - Interaction between news media and online
communication:
 Greater political outcomes (e.g., online, offline
political participation, and knowledge).
Which effects are larger? Direct or interaction?
RQ1 media vs. interaction bt. media & face-to-face;
RQ2 media vs. interaction bt. media & online comm
Hypothesesand ResearchQuestions
• Mediation effects on political outcomes:
• H4 – Face-to-face communication:
• H5 – Online communication:
•  Mediate the relationship between news media and
political outcomes.
• Which effects are larger? Mediation or direct?
• RQ3: Media reliance vs. mediation bt. Media & face-
to-face communication.
• RQ4: Media reliance vs. mediation bt. Media & online
communication
Method
Amazon Mechanical Turk survey
N = 1267 U.S. respondents
Analysis
Hierarchical regression analysis (Differential Gains Model)
Path analysis (Communication Mediation Model)
Independent variables
Online/Offline
FOX/CNN/MSNBC
Newspapers
News Magazines
News & Talk
Radio
Age
Gender
Race
Education
Income
Party Ties
Ideology
Interest
Online Discussion
Interpersonal Discussion
Interaction Variables
Dependent variables
Results
• Offline political participation is predicted by:
• Media reliance:
• Radio news,
• Fox news
• Political discussion:
• Both online and offline discussion
• Interaction:
• Face-to-face discussion – Fox News;
• Online discussion and print news; radio news; and
Fox news.
Results (cont.)
• Online Political participation is predicted by:
• Interaction: print news - online discussion
• Political knowledge is predicted by no variable
• Comparing effects on political participation (RQ1
&RQ2):
• Direct effects of media > interaction - face-to-
face discussion on political participation;
• Effects of media reliance > media interaction –
online discussion
Research Questions and Hypotheses
Discussion
• Comparison of two models:
• No perfect prediction on either of the two
• Differential Gains: Little support
• Communication Mediation: Considerable support.
• Political discussion should be used as mediation rather
than interaction in predicting political participation
and knowledge.
• Fox News is different from other media variables in
predicting political knowledge and participation.
• Online discussion is important in motivating people to
engage in political activities.

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Communication's Next Top Model

  • 1. Comparing the Differential Gains and Communication Mediation Models as Predictors of Political Participation and Knowledge Hong Vu, Joseph Yoo, Maegan Stephens, Brian Barech, Rachel Reis Mourao & Tom Johnson The University of Texas at Austin Communication’s Next Top Model:
  • 2. Introduction • Well-agreed: Interpersonal communication works in tandem with mass communication to influence political participation and knowledge. • But which model better explains the relationship between media, discussion, and political effects? Differential Gains? Communication Mediation Model?
  • 3. Literature • Differential Gains Model (Scheufele and colleagues) The political effects of news media messages are contingent upon the media’s interaction with interpersonal communication. • Communication Mediation Model (Shah and colleagues) Mass Communication has an influence on political aspects but such relationship is indirect: interpersonal communication mediates the effects
  • 4. Additional Theoretical Inquiry • Would wider range of media reliance variables influence the predictive power of the two models?
  • 5. Hypothesesand ResearchQuestions Interaction effects on political outcomes: H1- Exposure to news media; H2- Interaction between news media and face- to-face communication, and; H3 - Interaction between news media and online communication:  Greater political outcomes (e.g., online, offline political participation, and knowledge). Which effects are larger? Direct or interaction? RQ1 media vs. interaction bt. media & face-to-face; RQ2 media vs. interaction bt. media & online comm
  • 6. Hypothesesand ResearchQuestions • Mediation effects on political outcomes: • H4 – Face-to-face communication: • H5 – Online communication: •  Mediate the relationship between news media and political outcomes. • Which effects are larger? Mediation or direct? • RQ3: Media reliance vs. mediation bt. Media & face- to-face communication. • RQ4: Media reliance vs. mediation bt. Media & online communication
  • 7. Method Amazon Mechanical Turk survey N = 1267 U.S. respondents Analysis Hierarchical regression analysis (Differential Gains Model) Path analysis (Communication Mediation Model)
  • 8. Independent variables Online/Offline FOX/CNN/MSNBC Newspapers News Magazines News & Talk Radio Age Gender Race Education Income Party Ties Ideology Interest Online Discussion Interpersonal Discussion Interaction Variables
  • 10. Results • Offline political participation is predicted by: • Media reliance: • Radio news, • Fox news • Political discussion: • Both online and offline discussion • Interaction: • Face-to-face discussion – Fox News; • Online discussion and print news; radio news; and Fox news.
  • 11. Results (cont.) • Online Political participation is predicted by: • Interaction: print news - online discussion • Political knowledge is predicted by no variable • Comparing effects on political participation (RQ1 &RQ2): • Direct effects of media > interaction - face-to- face discussion on political participation; • Effects of media reliance > media interaction – online discussion
  • 13. Discussion • Comparison of two models: • No perfect prediction on either of the two • Differential Gains: Little support • Communication Mediation: Considerable support. • Political discussion should be used as mediation rather than interaction in predicting political participation and knowledge. • Fox News is different from other media variables in predicting political knowledge and participation. • Online discussion is important in motivating people to engage in political activities.