Simultaneous developments in big data, social media, and computational social science have set the stage for how we think about and understand interpersonal and mass communication. This article explores some of the ways that these developments generate 4 hypothetical "vectors" - directions - into the next generation of communication research. These vectors include developments in network analysis, modeling interpersonal and social influence, recommendation systems, and the blurring of distinctions between interpersonal and mass audiences through narrowcasting and broadcasting. The methods and research in these arenas are occurring in areas outside the typical boundaries of the communication discipline but engage classic, substantive questions in mass and interpersonal communication.

中文翻译：

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大众和人际传播研究的未来载体：大数据，社交媒体和计算社会科学。

大数据，社交媒体和计算社会科学的同时发展为我们思考和理解人际和大众传播奠定了基础。本文探讨了这些发展为下一代传播研究产生4个假设的“向量”（方向）的一些方式。这些向量包括网络分析的发展，人际和社会影响的建模，推荐系统，以及通过窄播和广播模糊人际观众与大众观众之间的区别。这些领域中的方法和研究发生在传播学科典型边界之外的区域，但在大众和人际传播中涉及经典的实质性问题。