A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
A network view on reliability: using machine learning to understand how we assess news websites
2021
Journal of Computational Social Science
AbstractThis article shows how a machine can employ a network view to reason about complex social relations of news reliability. Such a network view promises a topic-agnostic perspective that can be a useful hint on reliability trends and their heterogeneous assumptions. In our analysis, we depart from the ever-growing numbers of papers trying to find machine learning algorithms to predict the reliability of news and focus instead on using machine reasoning to understand the structure of news
doi:10.1007/s42001-021-00116-w
fatcat:4jmnly3lmbhkrjys4g2xf3bpn4