
doi: 10.1109/isuc.2008.79
As computers and computer networks become more sophisticated, a vast amount of information and knowledge has been accumulated and circulated on the Web. They provide people with options regarding their daily lives and are starting to have a strong influence on governmental policies and business management. However, a crucial problem is that information on the Web is not necessarily credible. It is actually very difficult for human beings to judge information credibility and even more difficult for computers. However, computers can be used to develop a system that collects, organizes and relativises information and helps human beings view information from several viewpoints and judge information credibility. This paper introduces the information credibility criteria project at the National Institute of Information and Communications Technology, which aims to develop such a system, called WISDOM.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
