Social Live-Streaming Use and Well-Being: Examining Participation, Financial Commitment, Social Capital, and Psychological Well-Being on Twitch.tv

IF 3 2区社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Social Science Computer Review Pub Date : 2024-01-02 DOI:10.1177/08944393231224543

Grace H. Wolff, Cuihua Shen

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引用次数: 0

Abstract

This study examines how active participation, financial commitment, and passive participation in the leading social live-streaming service, Twitch.tv, relate to individuals’ psychological well-being. The three dimensions of social capital—structural, relational, and cognitive—as well as parasocial relationship are explored as mediators. Cross-sectional survey data from 396 respondents was analyzed by comparing two fully saturated structural equation models. Findings indicate actively participating in a favorite streamers’ Chat is positively associated with increased well-being. Structural social capital, or having more social interaction ties, positively mediates the relationship between active participation and well-being, as well as financial commitment and well-being. Greater cognitive social capital, or shared values and goals with a favorite streamer, is related to decreased well-being. Parasocial relationship does not significantly mediate the relationship between use and well-being. Our results demonstrate the importance of tangible social ties over the perceived relationships or identification with a favorite streamer.

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社交直播的使用与幸福感：考察 Twitch.tv 上的参与度、经济承诺、社会资本和心理幸福感

本研究探讨了在领先的社交直播服务 Twitch.tv 中，主动参与、资金投入和被动参与与个人心理健康的关系。研究探讨了社会资本的三个维度--结构、关系和认知，以及作为中介的寄生社会关系。通过比较两个完全饱和的结构方程模型，对来自 396 名受访者的横截面调查数据进行了分析。研究结果表明，积极参与喜爱的流媒体聊天与幸福感的增加呈正相关。结构性社会资本，即拥有更多的社会互动纽带，对积极参与和幸福感之间的关系以及财务承诺和幸福感之间的关系起着积极的中介作用。更多的认知社会资本，即与最喜欢的流媒体拥有共同的价值观和目标，与幸福感的降低有关。准社会关系对使用和幸福感之间的关系没有明显的中介作用。我们的研究结果表明，有形的社会关系比感知到的关系或对喜爱的流媒体的认同更重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Social Science Computer Review 社会科学-计算机：跨学科应用

CiteScore

9.00

自引率

4.90%

发文量

审稿时长

>12 weeks

期刊介绍： Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.