Department of Behavioural and Social Sciences in Health, University of Sydney, Lidcombe, Australia.
Cyberpsychol Behav Soc Netw. 2019 Jul;22(7):465-471. doi: 10.1089/cyber.2018.0533.
Social networking site (SNS) use has been shown to predict both positive and negative well-being. These discrepant findings may be explained by people's motivations for and frequency of using SNSs. This study aimed to explore how frequency of online interactions can be affected by users' motives, specifically, being motivated by a sense of belonging, and possible perceived social support derived from the popular image-based SNS, Instagram. A total of 313 Instagram users (84.4% female, median age = 22 years) completed an online survey between March and September 2017 asking about their motives for using Instagram, perceived social support, and frequency of Instagram use. Multiple regression mediation analyses examined the relationship between being motivated by a desire to belong, mediator variables (frequency of posting, liking, and viewing posts), and perceived social support. A greater desire to belong significantly positively predicted frequency of Instagram use, total perceived social support, and perceived social support from friends and significant others. However, frequency of Instagram use did not predict perceived social support. As such, frequency of Instagram use did not mediate the relationship between motivation and social support. Future research could explore how other user motives and peer feedback affect Instagram use and other well-being outcomes.
社交网站(SNS)的使用已被证明可以预测积极和消极的幸福感。这些不一致的发现可以用人们使用 SNS 的动机和频率来解释。本研究旨在探讨用户的动机,特别是通过归属感的动机,以及从流行的基于图像的 SNS 中可能获得的感知社会支持,如何影响在线互动的频率。共有 313 名 Instagram 用户(84.4%为女性,中位数年龄为 22 岁)在 2017 年 3 月至 9 月期间完成了一项在线调查,询问他们使用 Instagram 的动机、感知社会支持和 Instagram 使用频率。多元回归中介分析检验了渴望归属感的动机、中介变量(发布、点赞和查看帖子的频率)和感知社会支持之间的关系。更强的归属感显著正向预测了 Instagram 使用频率、总感知社会支持以及来自朋友和重要他人的感知社会支持。然而,Instagram 使用频率并未预测感知社会支持。因此,Instagram 使用频率并未中介动机和社会支持之间的关系。未来的研究可以探讨其他用户动机和同伴反馈如何影响 Instagram 使用和其他幸福感结果。