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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.
Egocentric bias is the tendency to rely too heavily on one's own perspective and/or have a different perception of oneself relative to others. [35] The following are forms of egocentric bias: Bias blind spot, the tendency to see oneself as less biased than other people, or to be able to identify more cognitive biases in others than in oneself. [36]
Selective exposure is a theory within the practice of psychology, often used in media and communication research, that historically refers to individuals' tendency to favor information which reinforces their pre-existing views while avoiding contradictory information.
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 ...
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.
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In statistics, the bias of an estimator (or bias function) is the difference between this estimator's expected value and the true value of the parameter being estimated. An estimator or decision rule with zero bias is called unbiased. In statistics, "bias" is an objective property of an estimator.