计算传播研究是传播学领域内富有潜力且发展迅速的一脉新兴研究取向。通过对传播学领域内影响因子位居前20的SSCI期刊中的252篇计算传播研究论文全文进行关联主题模型分析，研究者识别出包含社交媒体分析、多元社会议题分析、新闻与新闻工作者研究、社会运动与社会参与研究、政治竞选研究、用户媒介接触研究六大领域在内的研究图景。从高水平研究论文中折射出的计算传播研究现状呼吁理论与方法紧密融合的专业教育实践。其中，理论旨在强调培育跨学科的、混合逻辑的、呼应语境的研究思维；方法旨在强调提升数据获取、统计分析、视觉化呈现等计算传播研究必备能力。

As a relatively new research approach in communication studies, computational communication has considerable potential and experiences a rapid development in recent years. This study analyzes 252 computational communication research articles from the top 20 journals under the communication category (from 2015 to 2019). By adopting the correlated topic modeling, six primary research areas emerged, including social media analysis, investigation of diverse social issues, journalistic studies, social movements and social participation, political campaign, and users' media exposure. This quantitative review also sheds light on the domestic education of computational communication science. In the theoretical aspect, we emphasize multidisciplinary thinking features mixed logic and context sensitiveness. In the methodological part, we advocate the cultivation of necessary research abilities incorporating data acquisition, advanced statistical analysis, and data visualization.