Scientific communication is a hot research topic in information science. Informal communication, especially those happened in real life is an important type of communication. However, there is no large scale study on this topic due to a lack of data. In this study we explore how these activities has been described in academic news and split a piece of news into participants, time, place, event, report title and opinion. We studied the patterns of how these elements are phrased. Based on these knowledge we use a program to implement a process which enables us to extract 160,312 communication activities from news crawled using Bing API and an expert list. Then we carried out a general analysis and a case study.