research-article

An exploration of psychological factors on emoticon usage and implications for judgement accuracy

Authors:

Stephanie A. MaloneAuthors Info & Claims

Computers in Human Behavior, Volume 62, Issue C

Pages 70 - 78

https://doi.org/10.1016/j.chb.2016.03.040

Published: 01 September 2016 Publication History

Abstract

Given the increasing use of online platforms, the current research comprised two studies examining links between personality and emoticon use: Study 1 explored the psychological factors associated with emoticon usage on different online platforms (Nź=ź92), and Study 2 assessed the accuracy of a group of observers' personality judgements of Facebook users (Nź=ź54). Participants in Study 1 comprised previously unacquainted dyads who each completed measures on their Big-5 personality, self-esteem, social anxiety, self-presentation, and self-reported usage of emoticons on email, text messages and Facebook. Participants provided Facebook data and interacted online with each other for 10-min. Trait analysis revealed that agreeableness was positively related to self-reported emoticon usage on Facebook, but not in texts or emails. In Study 2, observers viewed the Facebook stimuli and made personality assessments of the dyad members. Judgement accuracy was determined by correlating these assessments with targets' own self-reported personality. Analyses revealed the highest level of accuracy for extraversion and openness. Finally, positive correlations were found between objective usage of "happy" emoticons and observers' assessments of targets' agreeableness, conscientiousness and openness. Taken together, findings indicate the importance of specific online behaviours in self-presentation, and their impact on judgement accuracy. Psychological factors associated with online emoticon usage was examined.Agreeableness was positively related to self-reported usage on Facebook only.Conscientiousness was negatively related to "sad" emoticon usage.Extraversion and openness yielded the highest level of accuracy.Findings are discussed in relation to meta-traits and interpersonal perception.

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Zhao SJiang HTao HZha RZhang KXu TChen E(2023)PEDM: A Multi-task Learning Model for Persona-aware Emoji-embedded Dialogue GenerationACM Transactions on Multimedia Computing, Communications, and Applications10.1145/357181919:3s(1-21)Online publication date: 24-Feb-2023
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cover image Computers in Human Behavior

Computers in Human Behavior Volume 62, Issue C

September 2016

762 pages

ISSN:0747-5632

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Copyright © Elsevier Ltd.

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Elsevier Science Publishers B. V.

Netherlands

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Published: 01 September 2016

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Cited By

Zhao SJiang HTao HZha RZhang KXu TChen E(2023)PEDM: A Multi-task Learning Model for Persona-aware Emoji-embedded Dialogue GenerationACM Transactions on Multimedia Computing, Communications, and Applications10.1145/357181919:3s(1-21)Online publication date: 24-Feb-2023
https://dl.acm.org/doi/10.1145/3571819
Cavalheiro BRodrigues DPrada M(2023)Who (and with whom) uses more emoji? Exploring individual, relational, and motivational characteristics driving emoji useTelematics and Informatics10.1016/j.tele.2023.10202383:COnline publication date: 1-Sep-2023
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https://dl.acm.org/doi/10.1007/s10489-022-03195-y
Boutet ILeBlanc MChamberland JCollin C(2021)Emojis influence emotional communication, social attributions, and information processingComputers in Human Behavior10.1016/j.chb.2021.106722119:COnline publication date: 1-Jun-2021
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Gan CLee FLi Y(2017)Social media use, political affect, and participation among university students in urban ChinaTelematics and Informatics10.1016/j.tele.2017.04.00234:7(936-947)Online publication date: 1-Nov-2017
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