Date Added: May 2010
In this paper, the authors study what effects sentiment have on the temporal dynamics of user interaction and content generation in a knowledge sharing setting. They try to identify how sentiment influences interaction dynamics in terms of answer arrival, user ratings arrival, community agreement and content popularity. Their study suggests that "Negativity Bias" triggers more community attention and consequently more content contribution. Their findings provide insight into how users interact in online knowledge sharing communities, and helpful for improving existing systems.