Document Type

Dissertation

Date of Degree

Summer 2016

Degree Name

PhD (Doctor of Philosophy)

Degree In

Mass Communications

First Advisor

Julie Andsager

Second Advisor

Rachel Young

Abstract

Mental illness is a widespread public health concern. Stigma is a known barrier to recovery, and individuals often avoid seeking treatment because of it. The purpose of my research was to understand how individuals process peer-created, mental illness messages on social media, and to what extent these messages reduce stigma. I conducted two experiments based on the Elaboration Likelihood Model (ELM) to examine attitudes related to negative beliefs about mental illness and preferred social distance from mentally ill individuals.

Argument quality and amount of elaboration influenced empathetic responses to a message. Empathy was directly associated with a decrease in stigmatized beliefs about mental illness. Individuals who perceived that the message sharer was a close, trusted friend were more likely to indicate that the original message creator was more credible. Original message creators who disclosed having a mental illness were also perceived as more credible than creators who did not disclose having a mental illness. In addition, participants who perceived that the message sharer positively endorsed the message had less stigmatized beliefs about mental illness than participants who perceived negative endorsements.

Results of this project suggest that traditional ELM variables, such as elaboration and argument quality, influence the processing and outcomes of viewing social media messages about mental illness. Several new media characteristics, such as who shares the message online and comments they attach to the message, also influence how users think about the message and influence processing outcomes.

Keywords

apomediary, elaboration likelihood model, empathy, mental illness, social media, stigma

Pages

xvi, 300

Bibliography

222-233

Copyright

Copyright 2016 Stephanie Anne Miles

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