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Can Trending News Stories Create Coverage Bias? On the Impact of High Content Churn in Online News Media
| Content Provider | Semantic Scholar |
|---|---|
| Author | Chakraborty, Abhijnan Ghosh, Saptarshi Ganguly, Niloy Gummadi, Krishna P. |
| Copyright Year | 2015 |
| Abstract | Online news media sites are presently the primary sources of news for a large number of users world-wide. The content published by media sites have high temporal churn as they tend to focus on recommending recent / breaking news. Analyzing data from a popular online mass media site nytimes.com as well as a popular online social media site twitter.com, we show that the resulting churn in popular content can lead to temporal coverage biases in the stories that are consumed by a user, based on the time of the day when the user accesses the media sites. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://people.mpi-sws.org/~achakrab/papers/chakraborty_coverage_bias_cj15.pdf |
| Alternate Webpage(s) | http://socialnetworks.mpi-sws.org/papers/trending_coverage_bias.pdf |
| Alternate Webpage(s) | http://www.mpi-sws.org/~gummadi/papers/temporal_coverage_bias_online_media.pdf |
| Alternate Webpage(s) | https://people.mpi-sws.org/~gummadi/papers/temporal_coverage_bias_online_media.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |