Search results
Results from the WOW.Com Content Network
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.
The Adjective Check List (ACL) is a psychological assessment containing 300 adjectives used to identify common psychological traits. [1] The ACL was constructed by Harrison G. Gough and Alfred B. Heilbrun, Jr. with the goal to assess psychological traits of an individual. [ 2 ]
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.
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.
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.
Oskamp tested groups of clinical psychologists and psychology students on a multiple-choice task in which they drew conclusions from a case study. [37] Along with their answers, subjects gave a confidence rating in the form of a percentage likelihood of being correct. This allowed confidence to be compared against accuracy.
[6] [7] [8] [2] While heuristic processes are used to find the answers and solutions that are most likely to work or be correct, they are not always right or the most accurate. [9] Judgments and decisions based on heuristics are simply good enough to satisfy a pressing need in situations of uncertainty, where information is incomplete. [10]