Department of Psychology and Human Development, Vanderbilt University, Nashville, Tennessee.
Department of Computer Engineering, Vanderbilt University, Nashville, Tennessee.
Cyberpsychol Behav Soc Netw. 2019 Nov;22(11):692-699. doi: 10.1089/cyber.2019.0035.
In a two-wave, 4-month longitudinal study of 308 adults, two hypotheses were tested regarding the relation of Twitter-based measures of online social media use and in-person social support with depressive thoughts and symptoms. For four of five measures, Twitter use by in-person social support interactions predicted residualized change in depression-related outcomes over time; these results supported a corollary of the social compensation hypothesis that social media use is associated with greater benefits for people with lower in-person social support. In particular, having a larger Twitter social network (i.e., following and being followed by more people) and being more active in that network (i.e., sending and receiving more tweets) are especially helpful to people who have lower levels of in-person social support. For the fifth measure (the sentiment of Tweets), no interaction emerged; however, a beneficial main effect offset the adverse main effect of low in-person social support.
在一项针对 308 名成年人的两波、为期四个月的纵向研究中，针对基于 Twitter 的在线社交媒体使用和面对面社会支持与抑郁思想和症状的关系，检验了两个假设。对于五个指标中的四个，面对面社交支持互动的 Twitter 使用预测了与抑郁相关结果随时间的剩余变化；这些结果支持了社交媒体使用与低面对面社会支持的人获得更大收益的社会补偿假说的推论。具体来说，拥有更大的 Twitter 社交网络（即，关注和被更多人关注）并且在该网络中更活跃（即，发送和接收更多推文）对面对面社会支持水平较低的人特别有帮助。对于第五个指标（推文的情绪），没有出现交互作用；然而，有益的主要作用抵消了低面对面社会支持的不利主要作用。
