Research on the Internal Mechanism of Self-Disclosure Intention in Social Media: Based on the Perspective of Observational Learning

DOI

10.2991/assehr.k.220504.080How to use a DOI?

Keywords

Social Networking Site; Self-disclosure; Observational Learning

Abstract

With the rapid developments of various online social media, more and more users like to post their lives and work on social media, and the disclosure of self-information on social media has attracted widespread attention from scholars. Whether it is foreign Facebook, YouTube, or domestic WeChat and Weibo, more and more netizens are addicted to social networks. This article adopts empirical research methods, uses questionnaires to collect data and makes statistical analysis to verify the model. It will explore observation learning from the perspective or direction of observation learning and determine users to self-disclose information on social media such as WeChat, QQ, and Tik Tok. Play an important role in terms of willingness. The vigorous development of mobile social networks is inseparable from the external sharing and disclosure of users, and self-disclosure accounts for the largest proportion. Therefore, the research perspective and conclusions of this article have certain supplementary significance and certain significance to the theoretical system of self-disclosure of social media. The innovative nature can provide a basis for further theoretical analysis.

Copyright

© 2022 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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TY  - CONF
AU  - Yang Qian
AU  - Diao Yajing
AU  - Liang Yao
AU  - Ge Shilun
PY  - 2022
DA  - 2022/06/01
TI  - Research on the Internal Mechanism of Self-Disclosure Intention in Social Media: Based on the Perspective of Observational Learning
BT  - Proceedings of the 2022 8th International Conference on Humanities and Social Science Research (ICHSSR 2022)
PB  - Atlantis Press
SP  - 439
EP  - 442
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220504.080
DO  - 10.2991/assehr.k.220504.080
ID  - Qian2022
ER  -