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A possible approach could be to associate a Bayesian probability for the credibility of each source of open government data, where the individual probabilities are generated from peer-reviewed research, [5] [1] [4] [2] preprint research (itself with a lower Bayesian probability of being correct), and media articles (with bayesian probabilities ...
Examples of such promotional journals include Creation Research Society Quarterly, Evidence-based Complementary and Alternative Medicine, and Homeopathy. Be aware of predatory publishers, for example journals published by OMICS Publishing Group. These are very unlikely to be accepted as reliable sources.
The following examples cover only some of the possible types of reliable sources and source reliability issues, and are not intended to be exhaustive. Proper sourcing always depends on context; common sense and editorial judgment are an indispensable part of the process.
CNN has been ordered to pay $5 million to Navy veteran Zachary Young and additional punitive damages for defamation, marking a shift in media standards and a decline in ratings.
Wikipedia pages often cite reliable secondary sources that vet data from primary sources. If the information on another Wikipedia page (which you want to cite as the source) has a primary or secondary source, you ought be able to cite that primary or secondary source and eliminate the middleman (or "middle-page" in this case).
For example, an article that is a day old probably will have less reliable information than an article that is 2 years old. An article can be checked for its age by clicking the history tab at the top of the page, clicking "Earliest", and pressing end to see the date of the first edit.
Wired, The New York Times, and The Observer reported that the data-set had included information on 50 million Facebook users. [35] [36] While Cambridge Analytica claimed it had only collected 30 million Facebook user profiles, [37] Facebook later confirmed that it actually had data on potentially over 87 million users, [38] with 70.6 million of those people from the United States. [39]
John Seigenthaler, an American journalist, was the subject of a defamatory Wikipedia hoax article in May 2005. The hoax raised questions about the reliability of Wikipedia and other websites with user-generated content. Since the launch of Wikipedia in 2001, it has faced several controversies. Wikipedia's open-editing model, which allows any user to edit its encyclopedic pages, has led to ...