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A reliable source is one that presents a well-reasoned theory or argument supported by strong evidence. Reliable sources include scholarly, peer-reviewed articles or books written by researchers for students and researchers, which can be found in academic databases and search engines like JSTOR and Google Scholar.
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 ...
This means that we publish only the analysis, views, and opinions of reliable authors, and not those of Wikipedians, who have read and interpreted primary source material for themselves. The following examples cover only some of the possible types of reliable sources and source reliability issues, and are not intended to be exhaustive.
Their activities include maintaining: data privacy policies, notices, personal data inventory, governance structure and to respond to both complaints and requests from individuals, among other tasks. [37] A few of the major issues that CPO's focus on are: Education records and FERPA; HIPAA "Big data, algorithms, analytics, and usage" [37]
This is a list of academic articles covering the use of Wikipedia in education. Topics include using Wikipedia editing as an assignment, its effects on academic skills, and the perception and use of the site by students and teachers.
Japan Center of Education for Journalists (JCEJ): Fosters journalists and fact-checkers by referring to a Journalist's Guide to Social Sources published by First Draft News, a project of the Harvard Kennedy School's Shorenstein Center. JCEJ itself also debunks falsehoods.
For example, if one collects some data, applies several different significance tests to it, and publishes only the one that happens to have a p-value less than 0.05, then the total p-value for "at least one significance test reaches p < 0.05" can be much larger than 0.05, because even if the null hypothesis were true, the probability that one ...
Source credibility is "a term commonly used to imply a communicator's positive characteristics that affect the receiver's acceptance of a message." [1] Academic studies of this topic began in the 20th century and were given a special emphasis during World War II, when the US government sought to use propaganda to influence public opinion in support of the war effort.