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Media bias is the bias or perceived bias of journalists and news producers within the mass media in the selection of events, the stories that are reported, and how they are covered. The term generally implies a pervasive or widespread bias violating the standards of journalism , rather than the perspective of an individual journalist or article ...
The Cognitive Bias Codex. A cognitive bias is a systematic pattern of deviation from norm or rationality in judgment. [1] Individuals create their own "subjective reality" from their perception of the input. An individual's construction of reality, not the objective input, may dictate their behavior in the world.
In psychology and cognitive science, a memory bias is a cognitive bias that either enhances or impairs the recall of a memory (either the chances that the memory will be recalled at all, or the amount of time it takes for it to be recalled, or both), or that alters the content of a reported memory. There are many types of memory bias, including:
Academic bias is the bias or perceived bias of scholars allowing their beliefs to shape their research and the scientific community. It can refer to several types of scholastic prejudice, e.g., logocentrism , phonocentrism , [ 1 ] ethnocentrism or the belief that some sciences and disciplines rank higher than others.
Biased sample, a sample falsely taken to be typical of a population; Estimator bias, a bias from an estimator whose expectation differs from the true value of the parameter; Personal equation, a concept in 19th- and early 20th-century science that each observer had an inherent bias when it came to measurements and observations
False balance, known colloquially as bothsidesism, is a media bias in which journalists present an issue as being more balanced between opposing viewpoints than the evidence supports. Journalists may present evidence and arguments out of proportion to the actual evidence for each side, or may omit information that would establish one side's ...
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Selection bias involves individuals being more likely to be selected for study than others, biasing the sample. This can also be termed selection effect, sampling bias and Berksonian bias. [3] Spectrum bias arises from evaluating diagnostic tests on biased patient samples, leading to an overestimate of the sensitivity and specificity of the ...