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A dual-process approach to stigma reduction using online, user-generated narratives in social media messages

机译：使用社交媒体消息中的在线用户生成的叙述来减少耻辱感的双重过程方法

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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.
机译：精神疾病是一个广泛的公共卫生问题。耻辱是已知的恢复障碍，个人经常避免因其寻求治疗。我的研究目的是了解个人如何处理社交媒体上的同行创作，精神疾病消息，以及这些消息的程度如何减少耻辱。我根据阐述似然模型（ELM）进行了两次实验，以检查与精神疾病的负面信相关的态度，以及从精神病患者的优先关系。argument质量和阐述金额影响了对消息的同情反应。同理心直接相关，减少了关于精神疾病的耻辱性信念。认为邮件分享器是一个密切的人，值得信赖的朋友更有可能表明原始信息创造者更可信。由于没有披露精神疾病的创造者，披露的原始留言创造者也被视为更可信。此外，那些被认为是邮件分享的参与者对心理疾病的耻辱性的信念比感知消极认可的参与者对精神疾病的信仰较少。该项目的结果表明，传统的榆树变量，例如阐述和论证质量，影响加工和结果观看有关精神疾病的社交媒体信息。几个新的媒体特征，例如谁分享在线消息和他们附加到消息的评论，也会影响用户如何考虑消息和影响处理结果。

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    Stephanie Anne Miles;

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