Understanding the impact of emotional support on mental health resilience of the community in the social media in Covid-19 pandemic

Background: Emotional support in social media can act as a buffer against the negative impact of affective disorders. However, empirical evidence relating to emotional support in social media and how it influences the wider public remains scanty. The objective of this study is therefore to conduct a...

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Main Authors: HU, Xuan, SONG, Yanqing, ZHU, Ruilin, HE, Shuang, ZHOU, Bowen, LI, Xuelian, BAO, Han, SHEN, Shan, LIU, Bingsheng
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Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/7173
https://ink.library.smu.edu.sg/context/lkcsb_research/article/8172/viewcontent/Understanding_the_impact_of_emotional_support.pdf
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spelling sg-smu-ink.lkcsb_research-81722024-02-08T03:19:23Z Understanding the impact of emotional support on mental health resilience of the community in the social media in Covid-19 pandemic HU, Xuan SONG, Yanqing ZHU, Ruilin HE, Shuang ZHOU, Bowen LI, Xuelian BAO, Han SHEN, Shan LIU, Bingsheng Background: Emotional support in social media can act as a buffer against the negative impact of affective disorders. However, empirical evidence relating to emotional support in social media and how it influences the wider public remains scanty. The objective of this study is therefore to conduct a prototype investigation into the translation mechanism of emotional support in social media, providing empirical evidence for practitioners to use to tackle mental health issues for the wider public. Methods: A regression model is proposed to examine the relationship between perceived and received emotional support. Received emotional support is set as the dependent variable and measured using public activity. Perceived emotional support is derived using Natural Language Processing (NLP)-based content analysis. The model is then analyzed using a panel date with a total number of 61,297 posts from 17 Weibo accounts in 17 provincial administrative units in China. Results: The relationship between perceived and received emotional support is not linear but complex, suggesting that translation of emotional support is not automatic. Further, our empirical evidence suggests that the translation of emotional support in social media is affected by frequency and pandemic stage. Limitations: The study does not examine the direct relationship between perceived and received emotional support, instead adopting public activity as a proxy for the latter construct. In addition, the relationship between perceived and received emotional support is more complex than linear, requiring further model and theory development. 2022-07-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/7173 info:doi/10.1016/j.jad.2022.04.105 https://ink.library.smu.edu.sg/context/lkcsb_research/article/8172/viewcontent/Understanding_the_impact_of_emotional_support.pdf http://creativecommons.org/licenses/by/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Social media Perceived emotional support Received emotional support Affective disorders COVID-19 Public Health Social Media
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Social media
Perceived emotional support
Received emotional support
Affective disorders
COVID-19
Public Health
Social Media
spellingShingle Social media
Perceived emotional support
Received emotional support
Affective disorders
COVID-19
Public Health
Social Media
HU, Xuan
SONG, Yanqing
ZHU, Ruilin
HE, Shuang
ZHOU, Bowen
LI, Xuelian
BAO, Han
SHEN, Shan
LIU, Bingsheng
Understanding the impact of emotional support on mental health resilience of the community in the social media in Covid-19 pandemic
description Background: Emotional support in social media can act as a buffer against the negative impact of affective disorders. However, empirical evidence relating to emotional support in social media and how it influences the wider public remains scanty. The objective of this study is therefore to conduct a prototype investigation into the translation mechanism of emotional support in social media, providing empirical evidence for practitioners to use to tackle mental health issues for the wider public. Methods: A regression model is proposed to examine the relationship between perceived and received emotional support. Received emotional support is set as the dependent variable and measured using public activity. Perceived emotional support is derived using Natural Language Processing (NLP)-based content analysis. The model is then analyzed using a panel date with a total number of 61,297 posts from 17 Weibo accounts in 17 provincial administrative units in China. Results: The relationship between perceived and received emotional support is not linear but complex, suggesting that translation of emotional support is not automatic. Further, our empirical evidence suggests that the translation of emotional support in social media is affected by frequency and pandemic stage. Limitations: The study does not examine the direct relationship between perceived and received emotional support, instead adopting public activity as a proxy for the latter construct. In addition, the relationship between perceived and received emotional support is more complex than linear, requiring further model and theory development.
format text
author HU, Xuan
SONG, Yanqing
ZHU, Ruilin
HE, Shuang
ZHOU, Bowen
LI, Xuelian
BAO, Han
SHEN, Shan
LIU, Bingsheng
author_facet HU, Xuan
SONG, Yanqing
ZHU, Ruilin
HE, Shuang
ZHOU, Bowen
LI, Xuelian
BAO, Han
SHEN, Shan
LIU, Bingsheng
author_sort HU, Xuan
title Understanding the impact of emotional support on mental health resilience of the community in the social media in Covid-19 pandemic
title_short Understanding the impact of emotional support on mental health resilience of the community in the social media in Covid-19 pandemic
title_full Understanding the impact of emotional support on mental health resilience of the community in the social media in Covid-19 pandemic
title_fullStr Understanding the impact of emotional support on mental health resilience of the community in the social media in Covid-19 pandemic
title_full_unstemmed Understanding the impact of emotional support on mental health resilience of the community in the social media in Covid-19 pandemic
title_sort understanding the impact of emotional support on mental health resilience of the community in the social media in covid-19 pandemic
publisher Institutional Knowledge at Singapore Management University
publishDate 2022
url https://ink.library.smu.edu.sg/lkcsb_research/7173
https://ink.library.smu.edu.sg/context/lkcsb_research/article/8172/viewcontent/Understanding_the_impact_of_emotional_support.pdf
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