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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.
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.
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.
In addition to accuracy of individual statements, it is an objective that articles provide overall accurate coverage of the topic, albeit the latter is less clear-cut. This includes balanced coverage, with inclusion weighted by degree of significance, informativeness on the topic, and directness of relevance to the topic. The article should not ...
A teacher could trick his AP Psychology students by saying, "Suggestibility is the distortion of memory through suggestion or misinformation, right?" It is likely that the majority of the class would agree with him because he is a teacher and what he said sounds correct. However, the term is really the definition of the misinformation effect.
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] As such, it compares estimates of pre- and post-test probability.
The overconfidence effect is a well-established bias in which a person's subjective confidence in their judgments is reliably greater than the objective accuracy of those judgments, especially when confidence is relatively high. [1] [2] Overconfidence is one example of a miscalibration of subjective probabilities.