Issue |
SHS Web of Conf.
Volume 180, 2023
2023 International Conference on Education, Psychology and Cultural Communication (ICEPCC 2023)
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Article Number | 03022 | |
Number of page(s) | 5 | |
Section | Navigating Gender, Identity, and Social Constructs: A Multifaceted Exploration | |
DOI | https://doi.org/10.1051/shsconf/202318003022 | |
Published online | 15 December 2023 |
The Effect of First Impression on Women’s Online Social Tendency
International Department, the affiliated high school of South China Normal University, Guangzhou, China
* Corresponding author: zhuangcx.ryan2021@gdhfi.com
In the realm of online dating, first impressions are pivotal, significantly influencing the trajectory of subsequent interactions and relationship development. This article examines the women’s preferences in QQ Channels towards men on online social networking platforms. The present study conducts a preliminary interview to observe the impact of different personal types (extroverted, introverted, learning-focused, and “bad boy”) on the attractiveness and interaction levels of female users. This paper draws from a diverse group of female participants, ensuring a wide range of ages and backgrounds. Four types of personal impression are created, each simulating a real dating environment, allowing participants to interact with persona profiles. The result reveals that extroverted personas are highly attractive. Introverted personas struggle to sustain interactions, often resulting in participants halting communication or failing to progress beyond initial contact. Learning personas exhibit limited engagement, with most participants tapering off after the initial interaction. Interestingly, the “bad boy” persona garners high attention. The study highlights the important role of first impressions in online communication. This provides preliminary evidence of women’s online dating behaviors on emerging social platforms.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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