Year: 2025
Type: article
Study design: Observational Study
Abstract: With the rise of the Internet, emojis play an important role in social media applications in our lives. The topic of our study is whether young people between the ages of 15 and 25 use different emojis depending on who they are communicating with. We used quantitative research methods to collect data about the use of social media emojis by this group of young people aged 15-25. In this study, it was found that about 68% of young respondents use different emojis depending on the group of people they are receiving them from, adjusting their use of emojis because older people may not understand emojis, fear of offending, or fear of others misunderstanding them, which suggests that they are aiming to try to match the audience's preferences as closely as possible so that they can more quickly understand what others are trying to convey. Secondly, when using emojis, young people will choose to use funny, cute, and exaggerated emojis with their friends and will prefer more formal and polite emojis with older people or on formal occasions, which shows that young respondents are conscious of choosing appropriate emojis according to who they are chatting with as well as the situation. The most unexpected result of this study was that face-to-face communication is becoming less and less common among young respondents, with digital communication methods dominating their lives. In addition, through the study, it is not difficult to find that emojis occupy an important position in the 15-25 young people's group. It enriches the way people communicate and convey their emotions. The small sample size of this study and the carelessness of individual fillers resulted in individual inaccuracies in the results, which will be strengthened in the future by increasing the sample size and diversifying the sample collection methods.
Authors: Herui Xu, Mingwen Guo, Tiannuo Wei
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411776688