Analysis of Netizens’ Social Mentality of Sina Weibo Hot Network Security Incidents

DOI

10.2991/978-94-6463-040-4_197How to use a DOI?

Keywords

LIWC; hot cybersecurity incidents; emotion; rationality; social mentality

Abstract

This study takes the network public opinion of Sina Weibo as the starting point, and uses big data mining technology to technically capture three types of network security events and user comments on Sina Weibo in the new era. LIWC (Linguistic Inquiry and Word Count) software conducts machine-assisted text analysis on the main viewpoints in the progress of network security incidents, aiming to explore the social mentality of netizens such as emotions and rationality in different types of network security incidents.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Meihui Ren
PY  - 2022
DA  - 2022/12/27
TI  - Analysis of Netizens’ Social Mentality of Sina Weibo Hot Network Security Incidents
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 1328
EP  - 1332
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_197
DO  - 10.2991/978-94-6463-040-4_197
ID  - Ren2022
ER  -