Can Trending News Stories Create Coverage Bias? On the Impact of High Content Churn in Online News Media
作者： Krishna Gummadi , Niloy Ganguly , Abhijnan Chakraborty , Saptasrshi Ghosh
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摘要: Online news media sites are presently the primary sources of for a large number users world-wide. The content published by have high temporal churn as they tend to focus on recommending recent / breaking news. Analyzing data from popular online mass site nytimes.com well social twitter.com, we show that resulting in can lead coverage biases stories consumed user, based time day when user accesses sites.
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