Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Psychology
Implicit Bias And The Boundaries Of Belief: A Single-Representational Dual-Attitude Account Of Implicit Attitudes, Austin Dakota Synoground
Implicit Bias And The Boundaries Of Belief: A Single-Representational Dual-Attitude Account Of Implicit Attitudes, Austin Dakota Synoground
Graduate Theses and Dissertations
Since their inception, implicit attitudes have been defined as associative mental states, separate from beliefs, which are considered to be propositional in nature. Recently, several philosophers have challenged this distinction, arguing that implicit attitudes are actually unconscious beliefs. In turn, I argue that the attitudes detected by current experimental paradigms are blind to distinctions between implicit attitudes, which I define as the products of an associative learning mechanism, and unconscious beliefs, which are the products of a propositional learning mechanism. Specifically, I argue for a single-representational dual-attitude account of implicit bias.
Information Sampling, Judgment And The Environment: Application To The Effect Of Popularity On Evaluations, Gaël Le Mens, Jerker Denrell, Balázs Kovacs, Hülya Karaman
Information Sampling, Judgment And The Environment: Application To The Effect Of Popularity On Evaluations, Gaël Le Mens, Jerker Denrell, Balázs Kovacs, Hülya Karaman
Research Collection Lee Kong Chian School Of Business
If people avoid alternatives they dislike, a negative evaluative bias emerges because errorsof under-evaluation are unlikely to be corrected. Prior work that analyzed this mechanismhas shown that when the social environment exposes people to avoided alternatives (i.e. itmakes them resample them), then evaluations can become systematically more positive. In this paper, we clarify the conditions under which this happens. By analyzing a simple learning model, we show that whether additional exposures induced by the social environment lead to more positive or more negative evaluations depends on how prior evaluations and the social environment interact in driving resampling. We apply these …