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Emotional Expression and Contagion in Peer-to-Peer Communication within an Online Social Support Group and Its Effects on Depressive Symptoms.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Emotional Expression and Contagion in Peer-to-Peer Communication within an Online Social Support Group and Its Effects on Depressive Symptoms./
作者:	Hwang, Juwon.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	126 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
Contained By:	Dissertations Abstracts International83-03B.
標題:	Conformity. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28716303
ISBN:	9798535571072

Emotional Expression and Contagion in Peer-to-Peer Communication within an Online Social Support Group and Its Effects on Depressive Symptoms.
Hwang, Juwon.

Emotional Expression and Contagion in Peer-to-Peer Communication within an Online Social Support Group and Its Effects on Depressive Symptoms. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 126 p.

Source: Dissertations Abstracts International, Volume: 83-03, Section: B.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2021.

This item must not be sold to any third party vendors.

While emotional contagion literature shows how emotions can be caught by others, even in online communication contexts, little is known about how group emotion influences individual emotions in an online social support group and how individual and group emotions interact in terms of their effects on individuals' future depressive symptoms. In this dissertation, I examine (1) the dynamic picture of group emotions emerging through interaction between peers, with a specific focus on the two categories of emotions-positive emotions and negative emotions, with three subcategories under negative emotions-anxiety, sadness, and anger over the course of the study period, (2) how individual emotions are affected by group emotions, defined as emotions expressed in messages posted in the previous seven days, and whether emotional contagion effects significantly increase or decrease over time as group identity becomes salient, and (3) whether individual emotions and group emotions predict future depressive symptoms, and how these factors work together in shaping future depressive symptoms.In this dissertation, I examined messages through peer-to-peer communication within an online social support group for older adults. Given that emotions expressed in messages are the focus of this dissertation, a total of 197 participants with access to the online social support group and messages posted by them were included for analysis. Group messages were defined by individual messages, meaning all messages posted in the past seven days before individual messages were posted were operationalized as group messages. This study analyzed both individual and group emotions based on a computational technique, Linguistic Inquiry and Word Count (LIWC) software, which allowed the researcher to provide a detailed description of emotions in messages produced. The data obtained from these processes were combined with the surveys administered at the baseline, six-month, and twelve-month follow-up to investigate the role played by individual emotions in conjunction with group emotions in shaping future depressive symptoms.Results from Chapter 2 showed that the positive emotional expression was significantly prevalent than the negative emotional expression, supporting a "positivity bias." Moreover, positive emotions were salient at the initial stage of participation and significantly reduced over time, whereas negative emotions were significantly increased steadily. This pattern emerged in two sub-categories of negative emotions-anxiety and anger, but not in sadness. These findings suggest that participants tended to be more positively-valenced at the beginning and were more likely to express their negative feelings at a later stage. Results from Chapter 3 provided strong evidence for emotional contagion-the more positive emotions people encountered in messages posted by the group for the past seven days, the more they were likely to express positive emotions in their own messages. The same pattern occurred in negative emotions, and, in particular, anger, but did not anxiety and sadness, implying that anxiety and sadness might be internally circulated, whereas anger might be actively given and taken by interacting with others. Findings also demonstrated cross-emotional encouragement effects, showing that the stronger positive group emotions were, the fewer individuals were likely to express negative emotions in their own messages. Results also indicated that the extent to which emotional contagion occurred did not change over time. The final study shown in Chapter 4 demonstrated that positive group emotions, not positive individual emotions, significantly protected participants against future depressive symptoms. In addition, group expression of sadness and individual expression of anxiety increases the likelihood of depressive symptoms in the future. Furthermore, the findings on interaction effects revealed that depressive symptoms are highest for users with high negative individual emotions and low positive group emotions, whereas depressive symptoms are lowest for users with high negative individual emotions and high positive group emotions.These findings provide a comprehensive understanding of emotional contagion within an online support group. This study builds on prior research on emotional contagion in other online environments, such as SNS, and extends the literature by showing group emotional contagion based on the two different types of emotions with three subcategories under negative emotions, connecting both individual emotional expression and group emotional expression with individual depressive symptoms, to which, little attention has been paid, using a novel approach that examines naturally occurring emotions.

ISBN: 9798535571072Subjects--Topical Terms:

565087
Conformity.

Emotional Expression and Contagion in Peer-to-Peer Communication within an Online Social Support Group and Its Effects on Depressive Symptoms.
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