Public Opinion Analysis of School Bullying Audience Based on Big Data

DOI

10.2991/978-94-6463-172-2_120How to use a DOI?

Keywords

School bullying; Audience opinion analysis; Response measures; Big data analysis; SnowNLP

Abstract

School bullying has long been a concern. With the rapid popularity of Web 3.0, the public publishes vicious public incidents of school bullying by minors through platforms such as social media and short video websites. This paper first uses web crawler technology to obtain bullet comments and online comments on four school bullying incidents on short video platforms and adopts SnowNLP and LDA (Latent Dirichlet Allocation) to study the public opinion triggered by the incidents. The word frequency analysis shows that school bullying requires the attention of schools, teachers and parents. Sentiment analysis showed that the majority of the audience was neutral in bullet comments, while online comments had the largest number of audiences with positive attitudes. Social network analysis showed strong correlations between governing by law, bullying honest people, and resistance and schools, teachers, and bullying indicating that people want the law help to solve school bullying, protect the weak, and support the weak in fighting back against school bullying. The thematic analysis shows that the public is concerned about how to solve and respond to school bullying, and to support the reasonable prevention and treatment of school bullying. The analysis shows that the audience has realized that school bullying requires not only the focused attention of schools, teachers, and parents but also the need to protect the weak through the law, rather than allowing the abuser of underage school bullying to escape justice. Third, the public is no longer silent in the face of vicious events, instead seeking ways for the weak to reasonably and legally protect themselves from breaking the law when school bullying first occurs. This also shows that the public is giving sensible solutions through the Internet to help minors face school bullying sensibly so that students know the shame of the abuser and the abused know how to respond. The paper concludes with response measures.

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.

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TY  - CONF
AU  - Hejie Chen
AU  - Jiantao Liu
AU  - Weisong Xi
PY  - 2023
DA  - 2023/06/30
TI  - Public Opinion Analysis of School Bullying Audience Based on Big Data
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 1143
EP  - 1150
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_120
DO  - 10.2991/978-94-6463-172-2_120
ID  - Chen2023
ER  -