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In other cases, accuracy itself is under dispute: a certain question may indeed have a true answer, but nobody knows what it is yet, so a lack of complete information leads to people supporting a variety of possible answers. For example, the existence of extraterrestrial civilizations, or the existence of life on Europa, could be true or false ...
The misinformation effect occurs when a person's recall of episodic memories becomes less accurate because of post-event information. [1] The misinformation effect has been studied since the mid-1970s. Elizabeth Loftus is one of the most influential researchers in the field.
Research papers, particularly the one research paper students write in their eleventh grade, have always been an integral part of high school education [4].They stress the need to verify information and teach students how to evaluate sources critically, and as a result, teachers have developed various criteria to help students identify credible sources, an especially important skill in the ...
For case #1, a widely accepted standard of "accurate" and "inaccurate" exists. For #2, any answer would be baseless even if not proven wrong and not considered to be accurate. For #3 the objective standard does not exist. Any answer is a value judgement and the concept of accuracy is less applicable.
Articles should be based on reliable, independent, published sources with a reputation for fact-checking and accuracy. 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.
A study by Yale University cognitive scientists Gordon Pennycook and David G. Rand found that Facebook tags of fake articles "did significantly reduce their perceived accuracy relative to a control without tags, but only modestly". [18] A Dartmouth study led by Brendan Nyhan found that Facebook tags had a greater impact than the Yale study found.
Wikipedia articles can have poor quality in many ways including self-contradictions. [2] Those poor articles require improvement. Large platforms including YouTube [3] and Facebook [4] use Wikipedia's content to confirm the accuracy of the information in their own media collections.
Accuracy is also used as a statistical measure of how well a binary classification test correctly identifies or excludes a condition. That is, the accuracy is the proportion of correct predictions (both true positives and true negatives) among the total number of cases examined. [10]