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科学家们使用定量与数据挖掘的手段研究谣言,已经成为了这一研究领域的前沿热点。通过建立“小世界”的网络信息交流模式,他们精确追索和呈现出了谣言的源头及其传播形态。然而这种研究在方法论上存在着诸如过分追求因果关系等方面的不足,未来的大数据研究则会通过对总体性、相关关系的关注,解决这些问题。同时,大数据的方法也将给谣言的定性研究,以及在口头性与书写性、语境、信仰等关键问题的思考方面带来有意义的启示。
Scientists using quantitative and data mining methods to study rumors, has become the forefront of research in this area. Through the establishment of a “small world” network information exchange model, they accurately reclaim and present the source of the rumor and its transmission patterns. However, there are some shortcomings in methodology such as excessive pursuit of causality, and future big data research will solve these problems through focusing on the totality and related relations. At the same time, big data methods will also bring qualitative implications to rumors, as well as meaningful implications for thinking on key issues such as orality and writing, context and beliefs.