Bernardo P. Cavalheiro, David L. Rodrigues, Marília Prada
{"title":"Who (and with whom) uses more emoji? Exploring individual, relational, and motivational characteristics driving emoji use","authors":"Bernardo P. Cavalheiro, David L. Rodrigues, Marília Prada","doi":"10.1016/j.tele.2023.102023","DOIUrl":null,"url":null,"abstract":"<div><p>Emoji use, despite being pervasive in digital communication, is often dependent on individual characteristics (e.g., gender, age, personality), relational dimensions (e.g., intimacy with specific others), motives for using them (e.g., because emoji allow to better express emotions), and the context in which they are used (e.g., emoji use is considered more appropriate with closer interlocutors, such as friends). However, research has yet to examine if and how these variables associate with emoji use frequency when considered together. In a correlational study (<em>N</em> = 444), we explored the relative contribution of individual characteristics, perceived relatedness to others, and motives to explain the frequency of emoji use with different interlocutors. Hierarchical linear regressions showed that being younger, scoring higher on conscientiousness, and resorting to emoji for personal contact were correlates of emoji use frequency with closer interlocutors (e.g., family and friends). In contrast, being older, scoring lower on agreeableness, and perceiving more relational intimacy were correlates of emoji use frequency with more distant interlocutors (e.g., supervisors and doctors). Overall, results highlight the need to account for multiple variables at different levels to examine emoji use patterns in digital communication.</p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"83 ","pages":"Article 102023"},"PeriodicalIF":7.6000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Telematics and Informatics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0736585323000874","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Emoji use, despite being pervasive in digital communication, is often dependent on individual characteristics (e.g., gender, age, personality), relational dimensions (e.g., intimacy with specific others), motives for using them (e.g., because emoji allow to better express emotions), and the context in which they are used (e.g., emoji use is considered more appropriate with closer interlocutors, such as friends). However, research has yet to examine if and how these variables associate with emoji use frequency when considered together. In a correlational study (N = 444), we explored the relative contribution of individual characteristics, perceived relatedness to others, and motives to explain the frequency of emoji use with different interlocutors. Hierarchical linear regressions showed that being younger, scoring higher on conscientiousness, and resorting to emoji for personal contact were correlates of emoji use frequency with closer interlocutors (e.g., family and friends). In contrast, being older, scoring lower on agreeableness, and perceiving more relational intimacy were correlates of emoji use frequency with more distant interlocutors (e.g., supervisors and doctors). Overall, results highlight the need to account for multiple variables at different levels to examine emoji use patterns in digital communication.
期刊介绍:
Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.