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Meta-Accuracy on the Internet: Initial Tests of Underlying Dimensions, Contributing Factors, and Biases

Meta-accuracy (correspondence between how we think others perceive us and how they really perceive us) of first impressions on the Internet has the potential to shape subsequent interactions. Aiming to enhance understanding of the underlying perceptual dimensions, the contribution of social competen...

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Autores principales: Tsankova, Elena, Tair, Ergyul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8926076/
https://www.ncbi.nlm.nih.gov/pubmed/35310286
http://dx.doi.org/10.3389/fpsyg.2022.837931
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author Tsankova, Elena
Tair, Ergyul
author_facet Tsankova, Elena
Tair, Ergyul
author_sort Tsankova, Elena
collection PubMed
description Meta-accuracy (correspondence between how we think others perceive us and how they really perceive us) of first impressions on the Internet has the potential to shape subsequent interactions. Aiming to enhance understanding of the underlying perceptual dimensions, the contribution of social competence, and the existence of positive/negative bias in first impressions’ meta-accuracy online, we conducted a study in a simulated asynchronous social-media-type setting. Target participants uploaded a selfie, wrote a short description of themselves, provided estimates of how warm and competent they believed others would find them based on their selfies and texts (metaperception), and completed two social competence questionnaires (general and Internet-specific). Perceiver participants assessed the warmth and competence of the selfies and texts as well (others’ perception). Meta-accuracy was measured as the absolute difference between metaperception and others’ perception. Through correlational analyses, we confirmed that meta-accuracy of first impressions on the Internet aligned with the universal dimensions of social cognition (warmth and competence), found sporadic evidence for the positive association between meta-accuracy and social competence, and showed that meta-accuracy for specific Internet expressive means varied with varying proficiency in these means. Through t-tests, we demonstrated positive meta-accuracy bias for selfies along the warmth dimension and negative bias for text along the competence dimension. Overall, our results suggest the primacy of warmth and uniqueness of the male targets-female perceivers combination for meta-accuracy on the Internet. Our findings expand knowledge about first impressions’ meta-accuracy on the Internet.
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spelling pubmed-89260762022-03-17 Meta-Accuracy on the Internet: Initial Tests of Underlying Dimensions, Contributing Factors, and Biases Tsankova, Elena Tair, Ergyul Front Psychol Psychology Meta-accuracy (correspondence between how we think others perceive us and how they really perceive us) of first impressions on the Internet has the potential to shape subsequent interactions. Aiming to enhance understanding of the underlying perceptual dimensions, the contribution of social competence, and the existence of positive/negative bias in first impressions’ meta-accuracy online, we conducted a study in a simulated asynchronous social-media-type setting. Target participants uploaded a selfie, wrote a short description of themselves, provided estimates of how warm and competent they believed others would find them based on their selfies and texts (metaperception), and completed two social competence questionnaires (general and Internet-specific). Perceiver participants assessed the warmth and competence of the selfies and texts as well (others’ perception). Meta-accuracy was measured as the absolute difference between metaperception and others’ perception. Through correlational analyses, we confirmed that meta-accuracy of first impressions on the Internet aligned with the universal dimensions of social cognition (warmth and competence), found sporadic evidence for the positive association between meta-accuracy and social competence, and showed that meta-accuracy for specific Internet expressive means varied with varying proficiency in these means. Through t-tests, we demonstrated positive meta-accuracy bias for selfies along the warmth dimension and negative bias for text along the competence dimension. Overall, our results suggest the primacy of warmth and uniqueness of the male targets-female perceivers combination for meta-accuracy on the Internet. Our findings expand knowledge about first impressions’ meta-accuracy on the Internet. Frontiers Media S.A. 2022-03-02 /pmc/articles/PMC8926076/ /pubmed/35310286 http://dx.doi.org/10.3389/fpsyg.2022.837931 Text en Copyright © 2022 Tsankova and Tair. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Tsankova, Elena
Tair, Ergyul
Meta-Accuracy on the Internet: Initial Tests of Underlying Dimensions, Contributing Factors, and Biases
title Meta-Accuracy on the Internet: Initial Tests of Underlying Dimensions, Contributing Factors, and Biases
title_full Meta-Accuracy on the Internet: Initial Tests of Underlying Dimensions, Contributing Factors, and Biases
title_fullStr Meta-Accuracy on the Internet: Initial Tests of Underlying Dimensions, Contributing Factors, and Biases
title_full_unstemmed Meta-Accuracy on the Internet: Initial Tests of Underlying Dimensions, Contributing Factors, and Biases
title_short Meta-Accuracy on the Internet: Initial Tests of Underlying Dimensions, Contributing Factors, and Biases
title_sort meta-accuracy on the internet: initial tests of underlying dimensions, contributing factors, and biases
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8926076/
https://www.ncbi.nlm.nih.gov/pubmed/35310286
http://dx.doi.org/10.3389/fpsyg.2022.837931
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