Amid the skyrocketing increase in social media content, understanding the information-sharing mechanism is crucial. We analyze Twitter messages on recent public issues and IT trends to examine the network's bi-directional message diffusion patterns through incoming and outgoing ties, based on the users’ retweeting and mentioning behavior toward one another. We find context-based patterns. This study shows that regarding IT trends, the use of the “like” feature significantly related to users’ influence, where outgoing ties had a greater mediating influence than incoming ties. During COVID-19, users prioritized obtaining reliable information. Our findings contribute toward developing diffusion mechanisms and social media strategies.

在社交媒体内容飞速增长的情况下，了解信息共享机制至关重要。我们分析 Twitter 消息关于最近的公共问题和 IT 趋势，以基于用户相互转发和提及的行为，通过传入和传出关系检查网络的双向消息传播模式。我们找到基于上下文的模式。本研究表明，在 IT 趋势方面，“喜欢”特征的使用与用户影响显着相关，其中传出关系比传入关系具有更大的中介影响。在 COVID-19 期间，用户优先获取可靠信息。我们的发现有助于发展传播机制和社交媒体策略。