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Judging the Veracity of Claims and Reliability of Sources with Fact-Finders
| Content Provider | Scilit |
|---|---|
| Author | Liu, Xin Datta, Anwitaman Lim, Ee-Peng |
| Copyright Year | 2014 |
| Description | The Information Age has made publishing, distributing and collecting information easier, resulting in the exponential growth of information available to us. Databases were once ledgers written by hand by a single person; today they can be vast stores of data agglomerated from a myriad of disparate sources. The mass media, formerly limited to newspapers and television programs held to strict journalistic standards, has expanded to include collaborative content such as blogs, wikis and message boards. Documents covering Judging of Sources nearly every topic abound on the Internet, but the authors are often anonymous and the accuracy uncertain. Book Name: Computational Trust Models and Machine Learning |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2013-0-22078-1&isbn=9780429159480&doi=10.1201/b17778-10&format=pdf |
| Ending Page | 96 |
| Page Count | 34 |
| Starting Page | 63 |
| DOI | 10.1201/b17778-10 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2014-10-29 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Computational Trust Models and Machine Learning Gerontology Uncertain Anonymous Sources Strict Finders Stores Journalistic Ledgers |
| Content Type | Text |
| Resource Type | Chapter |
