Social Support for Depression Groups in the Online Environment: The Effectiveness of Information
Abstract
Significant increase in interactivity distinctively characterizes the field of health communication on social media. This implies that users are able to engage in more intense interaction activities with other users on the platform. The nature and content of users' questions can potentially play a decisive role in determining the rate at which they receive social support. Currently, an in-depth analysis has been carried out on the content of the largest depression community in China. With a total data support of 2,000 comments, the focus of this analysis is on exploring the relationship between threats and efficacy within the content and social support. The results demonstrate that the comment content is predominantly question-based comments. In contrast, emotional comments are relatively fewer in number. Additionally, it has been found that content with high threat and low efficacy is more likely to receive greater social support. Furthermore, some practical and possible suggestions are put forward for the improvement of China's depression public communication platform. This could involve enhancing the platform's functionality to better facilitate interaction and support among users, as well as providing more targeted resources and information for those dealing with depression.
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