A-twitter with anger and joy

A recent paper from China studies traffic on Weibo (the Chinese version of Twitter), and finds that “users influence each other emotionally… the correlation of anger among users is significantly higher than that of joy, which indicates that angry emotion could spread more quickly and broadly in the network.”

The image below (from the paper) shows some of the emotional connections (red indicates anger, green joy, blue sadness, and black disgust). It would certainly be interesting to repeat this fascinating study in other countries!


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