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Credibility dates back to Aristotle's theory of Rhetoric.Aristotle defines rhetoric as the ability to see what is possibly persuasive in every situation. He divided the means of persuasion into three categories, namely Ethos (the source's credibility), Pathos (the emotional or motivational appeals), and Logos (the logic used to support a claim), which he believed have the capacity to influence ...
Studies driving the credibility revolution have made use of better quality data, and also econometric techniques such as difference in differences, instrumental variables, regression discontinuity, natural experiments, and even, when funding and opportunity permit, true randomized experiments. These techniques have made it possible (in ...
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.
The effects of credibility rely on the aspects of the speaker to be of "high trustworthiness" or "low trustworthiness". Prominent, credible speakers can drastically persuade more people than others who are not credible. Credible speakers also have a sense of reputation where what they say matters to whom they are speaking to.
Source criticism (or information evaluation) is the process of evaluating an information source, i.e.: a document, a person, a speech, a fingerprint, a photo, an observation, or anything used in order to obtain knowledge.
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The ongoing research of the Stanford Web Credibility Project includes: Performing quantitative research on Web credibility; Collecting all public information on Web credibility; Acting as a clearinghouse for this information; Facilitating research and discussion about Web credibility; Collaborating with academic and industry research groups
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 ...