Lack of Multiple Comments on Social Media Platforms

DOI

10.2991/assehr.k.220504.017How to use a DOI?

Keywords

Social media platform; Search engine; Trends comparison; Emotion analysis

Abstract

In recent years, along with the increase of Internet users and the abundance of information access channels, the online interactions become easier and more frequent. Meanwhile, the psychology of user use under different information platforms has also undergone great changes. Along with these changes, the relationship between the opinion field and the change of users’ emotions has also had been affected, especially for the popular platforms represented by social media platforms and search engines. This paper analyzes and studies the diversity of social media users’ and search engine users’ comments from both quantitative and qualitative perspectives. The author crawled Weibo and Baidu trends lists from September 20 to September 26, and collected user comments for sentiment analysis after selecting the specific topics. Finally, Python is used to determine the diversity of user comments from the perspective of sentiment analysis. The author conducted further interviews to investigate the reasons for data analysis results. Reviewing other social media and search engine comparison studies, this paper is the first to compare user sentiment issues, creating a new direction of qualitative analysis for the comparison of social media and search engines.

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.

Download article (PDF)

TY  - CONF
AU  - Yan Miao
PY  - 2022
DA  - 2022/06/01
TI  - Lack of Multiple Comments on Social Media Platforms
BT  - Proceedings of the 2022 8th International Conference on Humanities and Social Science Research (ICHSSR 2022)
PB  - Atlantis Press
SP  - 83
EP  - 87
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220504.017
DO  - 10.2991/assehr.k.220504.017
ID  - Miao2022
ER  -