Date of Award

5-2026

Document Type

Dissertation

Department

Communication

First Advisor

Dr. Jennifer Bevan, Ph.D.

Second Advisor

Dr. Gabriel Li

Third Advisor

Dr. Michelle Miller-Day

Fourth Advisor

Dr. Amy Johnson

Abstract

This dissertation examines the psychological and relational factors shaping political communication between Generation Z and their families. Using Communication Privacy Management (CPM) and Family Communication Patterns (FCP) theories as a dual framework, the study investigates how emotions, relational turbulence, and family orientations influence political self-disclosure during face-to-face gatherings. Data were collected via an online survey of 488 Gen Z participants (ages 18–28) following the 2025 Thanksgiving holiday. The results reveal a critical distinction between negative and positive privacy boundary strength. Negative boundary strength, characterized by defensive and restrictive regulation, was consistently associated with heightened experiences of fear, anger, frustration, and shame/guilt, as well as increased relational turbulence. Conversely, positive boundary strength correlated with relational stability and higher family conversation orientation. Notably, individuals with stronger negative boundaries were less likely to avoid disclosure, suggesting that high emotional intensity may drive strategic or confrontational engagement rather than silence. While family conformity orientation reinforced defensive boundaries, interactional factors such as hostile tone and political similarity emerged as more robust predictors of immediate communicative outcomes. These findings advance CPM by positioning privacy as an emotionally embedded regulatory system rather than a purely cognitive process. Ultimately, the study highlights how Gen Z utilizes sophisticated boundary management to navigate the relational risks of political discourse in contemporary family life.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.