scholarly journals Implicit social cognition: A brief (and gentle) introduction

2021 ◽  
Author(s):  
Benedek Kurdi ◽  
Mahzarin R. Banaji

Over the past three decades, implicit social cognition research has flourished and has produced myriad novel insights into the automatic operation of social attitudes (evaluations) and stereotypes (beliefs). In this chapter, we provide an overview of what we regard to be significant and settled issues as well as the most pressing open questions that remain. Following a brief historical overview, we address (a) basic findings, such as mean levels of and demographic variation in implicit bias; (b) the relationship of implicit attitudes and stereotypes with other measures, including explicit attitudes and stereotypes and other forms of intergroup behavior; (c) the neural underpinnings of implicit bias; (d) questions of stability and change at different levels of analysis, including developmental stability, situational malleability, the prospect of long-term change within a single individual, and societal-level change; and (e) ongoing work and stimulating new developments, including aggregate-level analyses, the role of language, and questions about the representational format of implicit attitudes and stereotypes.

Author(s):  
Andrew J. Pantos

This chapter argues for incorporation of concepts and methods from the domain of Implicit Social Cognition (ISC) into the field of language attitudes research. As support, this chapter reports on a quantitative study that employed both an audio Implicit Association Test and traditional self-report questionnaires to measure participants' implicit and explicit attitudes toward foreign and U.S. accented speech stimuli. The IAT revealed a pro-U.S. accent bias, while the explicit measure found a pro-foreign accent bias. These results support the argument that the distinction between implicit and explicit attitudes as separable attitude constructs resulting from distinct mental processes is an important one for language attitudes research and that both attitude constructs should be evaluated when studying language attitudes.


2017 ◽  
Vol 26 (6) ◽  
pp. 600-615 ◽  
Author(s):  
Marco Vriens ◽  
Alessandro Martins Alves

Purpose This paper aims to investigate modeling implicit attitudes as potential drivers of overall brand attitudes and stated behavior and investigate how the results are expected to be different from brand driver models that are based on explicit attitudes. Design/methodology/approach Data are collected via online surveys in five countries across 15 categories with sample sizes for each category/country combination in the range of about N = 1,000. Findings Implicit attitudes result in a higher number of significant effects than their explicit counterparts when used to explain behavioral intentions, brand closeness and brand usage in a multivariate situation with potential 12 brand attitude drivers. The authors also find fewer counter-intuitive effects in the implicit models. The results are consistent across 5 countries and across 15 categories (including CPG products, services and durable goods). They also show that implicit attitudes are less susceptible to response style effects (e.g. social desirability bias). Research limitations/implications The findings have implications for brand building and shopper activation. Further research should look into the impact of using implicit data on finding different brand segmentation and brand mapping results. Practical implications The findings have implications for brand building and shopper activation. Originality/value This paper contributes to the fast-growing field of implicit attitudes. The paper confirms and generalizes previous findings. This is the first paper to the authors’ knowledge that has investigated the impact of implicit attitudes on overall brand attitudes and stated behavior in a multivariate context.


2018 ◽  
Vol 32 (6) ◽  
pp. 497-510 ◽  
Author(s):  
Yonghwan Chang ◽  
Yong Jae Ko ◽  
Brad D. Carlson

The researchers explore consumers’ emotional responses toward athlete brands by developing the associative evaluation–emotional appraisal–intention (AEI) model. The AEI postulates that unconscious (implicit attitudes) and conscious (explicit affective attitudes) levels of emotional responses systematically flow following assessments of perceived fit in athlete endorsements. Implicit attitudes were measured through the implicit association test, whereas pleasure, arousal, and pride captured explicit affective attitudes. Contrary to dominant beliefs about successful athlete endorsements, findings from a lab experiment indicate that low perceived fit affected implicit attitudes, which in turn affected arousal for consumers with high involvement. Pleasure, arousal, and pride were interrelated and systematically determined behavioral intentions of viewership and online friendship with athletes. Studies investigating athlete brands and endorsement success should consider the influence of both implicit and explicit attitudes on fan behavior. Managers should strategically utilize both low and high fit endorsements to facilitate emotional experiences and optimize desired consumption behavior.


2021 ◽  
Vol 49 (11) ◽  
pp. 1-11
Author(s):  
Yun Jung Choi ◽  
Dong Hee Cho

During the course of the COVID-19 pandemic, social stigmatization of people who have been infected with the virus has been observed. This study measured the degree of social stigma by examining implicit and explicit attitudes toward people with COVID-19. Explicit attitudes were measured through self-reporting, taking into account the three components of behavior, cognition, and emotion, and we used the Single-Category Implicit Association Test to assess implicit attitudes. The findings show that explicit attitudes toward people with COVID-19 were positive, whereas implicit attitudes trended toward being negative. The results suggest that mental health services and policies are needed to reduce social stigma and prevent the risk of mental health problems among people who have been infected with COVID-19.


2021 ◽  
Vol 12 ◽  
Author(s):  
Ji-Woong Hong ◽  
Ah Jeong Hong ◽  
Sang Rak Kim

The purpose of this study was to develop the OL-IAT (Organizational Loyalty – Implicit Association Test), an IAT tool that measures implicit attitudes toward organizational loyalty, and to verify its predictive validity. In total, 15 respondents were randomly selected from among the employees of P Company. The respondents were then asked open questions about the image they held of the target company. Based on their responses, a list of words was compiled for use on the OL-IAT. Evaluation categories, either like-dislike or positive-negative, were developed for this test based on the approach-avoidance words proposed by Ostafin and Palfai (2006). The OL-IAT was then administered to 127 employees of Company P, and self-reporting measures were also devised to measure explicit attitudes. A survey of whether the implicit attitude toward organizational loyalty was consistent with the explicit attitude showed that there was no significant correlation, and the attitude inconsistency was evident in the responses. When differences in rank were accounted for, organizational loyalty attitudes were consistent at the manager level, and organizational participation attitudes were consistent at the manager and general staff levels. This study will aid in the development of effective measures of organizational loyalty and accelerate interventions to increase it, which in turn will positively impact long-term organizational growth.


2018 ◽  
Author(s):  
Pauli Kehayias

Nitrogen-vacancy (NV) defect centers in diamond have generated much interest for their uses in quantum information and sensing. Despite the ongoing improvements in sensitivity and the range of new applications, much about the NV basic physics remains unresolved, which is important to understand in order to fully exploit potential uses. In this work I describe a series of experiments on NV basic properties, applications, and projects in between. First, I describe an NV singlet absorption spectroscopy experiment, which searched for additional NV electronic states and studied the 1A1 phonon modes. Next, I discuss an NV microwave saturation spectroscopy experiment, which is useful for NV thermometry, removes inhomogeneous broadening, and can yield information about diamond magnetic spin bath dynamics. I then describe an NV relaxation experiment that senses GHz-frequency magnetic noise, which we demonstrated using paramagnetic substitutional nitrogen (P1) centers. Finally, I describe open questions on the NV singlet states, saturation spectroscopy, and relaxation (and how to address them), and report on my ongoing work on using NVs for nuclear polarization and rotation sensing.


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